Vincent Racaniello: Viruses and Vaccines #216

Transcript

00:00:00 The following is a conversation with Vincent Recaniello,

00:00:03 professor of microbiology and immunology at Columbia.

00:00:08 Vincent is one of the best educators in biology

00:00:10 and in general that I’ve ever had

00:00:12 the pleasure of speaking with.

00:00:14 I highly recommend you check out

00:00:16 his This Week in Virology podcast

00:00:19 and watch his introductory lectures on YouTube.

00:00:22 In particular, the playlist I recommend

00:00:24 is called Virology Lectures 2021.

00:00:28 To support this podcast,

00:00:30 please check out the sponsors in the description.

00:00:33 As a side note, please allow me to say

00:00:35 a few words about the COVID vaccines.

00:00:38 Some people are scared of a virus hurting

00:00:41 or killing somebody they love.

00:00:43 Some are scared of their government betraying them,

00:00:46 their leaders blinded by power and greed.

00:00:50 I have both of these fears.

00:00:52 And two, I’m afraid, as FDR said, of fear itself.

00:00:57 Fear manifests as anger and anger leads to division

00:01:01 in the hands of charismatic leaders

00:01:03 who then manufacture truth in quotes

00:01:06 that maximize controversy and a sense of imminent crisis

00:01:10 that only they can save us from.

00:01:13 And though I’m sometimes mocked for this,

00:01:15 I still believe that love, compassion, empathy

00:01:20 is the way out from this vicious downward spiral of division.

00:01:24 I personally took the vaccine

00:01:26 based on my understanding of the data,

00:01:28 deciding that for me, the risk of negative effects

00:01:30 from COVID, short term and long term,

00:01:33 are far worse than the negative effects

00:01:36 from the mRNA vaccine.

00:01:38 I read, I thought, I decided, for me.

00:01:43 But I never have and never will talk down to people

00:01:47 who don’t take the vaccine.

00:01:49 I’m humble enough to know just how little I know,

00:01:52 how wrong I have been and will be

00:01:55 on many of my beliefs and ideas.

00:01:58 I think dogmatic certainty and division

00:02:01 is more destructive in the long term than any virus.

00:02:04 The solution for me personally, like I said,

00:02:07 is to choose empathy and compassion

00:02:09 towards all fellow human beings,

00:02:12 no matter who they voted for.

00:02:14 I hope you do the same.

00:02:16 Read, think, and try to imagine

00:02:19 that what you currently think is the truth

00:02:22 may be totally wrong.

00:02:24 This mindset is one that opens you to discovery,

00:02:27 innovation, and wisdom.

00:02:30 I hope my conversation with Vincent Racanello

00:02:33 is a useful resource for just this kind of exploration.

00:02:36 He doesn’t talk down to people

00:02:37 and he’s the most knowledgeable virologist

00:02:40 I’ve ever spoken to.

00:02:42 He has no political agenda,

00:02:43 no desire to mock those who disagree with him.

00:02:47 He just loves biology

00:02:49 and explaining the fundamental mechanisms

00:02:51 of how biological systems work.

00:02:54 That’s a great person to listen to

00:02:55 and learn from with an open mind.

00:02:58 I hope you join me in doing so,

00:02:59 and no matter what,

00:03:01 try to put more love out there in the world.

00:03:04 This is the Lex Friedman Podcast

00:03:06 and here is my conversation with Vincent Racanello.

00:03:11 You mentioned in one of your lectures on virology

00:03:14 that there are more viruses

00:03:16 in a leader of coastal seawater

00:03:17 than people on earth.

00:03:20 In the Nature article titled Microbiology by Numbers,

00:03:25 it says there are 10 to the 31 viruses on earth.

00:03:29 Also it says that the rate of viral infection

00:03:33 in the ocean stands at 10 to the 23 infections per second.

00:03:39 And these infections remove 20 to 40%

00:03:42 of all bacterial cells each day.

00:03:45 There’s a war going on.

00:03:47 Do you, what do you make of these numbers?

00:03:49 Or why are there so many viruses?

00:03:52 So the numbers you’re quoting,

00:03:54 they’re in my first virology lecture, right?

00:03:57 Because people don’t know these numbers

00:04:00 and they get, whoa, they get wild by them.

00:04:02 So I love to give them.

00:04:04 So the way, sorry to interrupt.

00:04:06 As I was saying offline,

00:04:08 you have one of the best introductory lectures on virology

00:04:12 that I’ve ever seen, introductory lectures, period.

00:04:14 So I highly recommend people

00:04:16 find you on YouTube and watch it

00:04:18 if you’re curious at all about viruses.

00:04:20 It, yeah, there’s a lot of times throughout watching it,

00:04:24 I felt like, whoa.

00:04:26 Yeah, that’s my goal is to work.

00:04:28 And that’s what my students tell me.

00:04:29 One student once said, every day after every lecture,

00:04:33 I could go home and tell my roommate something

00:04:35 she didn’t know and blew her away.

00:04:38 So the number of viruses is really an amazing number.

00:04:42 So that number 10 to the 31 is actually

00:04:45 just the bacterial viruses in the ocean.

00:04:48 So there are viruses that infect everything

00:04:50 on the planet, including bacteria.

00:04:52 There are a lot of bacteria in the ocean.

00:04:54 And so 10 to the 31 is from basically particle counts

00:04:58 of seawater all over the world.

00:05:00 So there are more viruses than 10 to the 31,

00:05:02 but just in the ocean.

00:05:04 And that number is so big.

00:05:06 First of all, the mass exceeds that of elephants

00:05:10 on the planet by a thousand fold.

00:05:12 And if you lined up those viruses end to end,

00:05:15 they would go 200 million light years into space.

00:05:19 It’s so big a number.

00:05:21 It’s amazing.

00:05:23 And then yes, 10 to the 20 some infections per second

00:05:27 of these viruses killing bacteria

00:05:30 and releasing all this organic matter.

00:05:32 And that’s part of this, what we call

00:05:35 the biogeochemical pump, cycling of material in the ocean.

00:05:39 The bacteria die, they start to sink

00:05:42 and then they get metabolized

00:05:45 and converted to compounds that are needed.

00:05:48 A lot of it gets released as carbon dioxide and so forth.

00:05:50 So these are actually really important cycles

00:05:52 that are catalyzed by the virus.

00:05:54 Well, it’s so wild that nature has developed

00:05:56 a mechanism for mass murder of bacteria.

00:05:59 That’s one way to look at it,

00:06:00 but it’s just what happened, right?

00:06:02 It’s interesting.

00:06:03 I mean, I wonder what the evolutionary advantage

00:06:06 of like such fast cycling of life is.

00:06:10 Is it just an accident of evolution

00:06:13 that viruses are so numerous

00:06:16 or is it a feature and not a bug?

00:06:20 So the fast is, it’s not all fast.

00:06:25 Not all viruses are fast.

00:06:26 Some are 20 minutes per cycle.

00:06:28 Some take weeks per cycle, but that’s just per second.

00:06:33 There’s so many viruses in the ocean

00:06:35 that that’s what you get per second,

00:06:36 no matter how fast the cycle is.

00:06:39 But I look at it this way.

00:06:41 Viruses were probably the first organic entities

00:06:46 to evolve on the planet.

00:06:48 Long ago, billion years ago,

00:06:50 just as the earth cooled

00:06:52 and organic molecules began to form,

00:06:55 I think these self, we call them self replicators.

00:07:00 They’re just short things that today,

00:07:02 would look like RNA, which is the basis of many viruses.

00:07:07 They evolved and they were able to replicate.

00:07:09 Of course, they were just naked molecules.

00:07:12 They had no protection and it was just RNA based.

00:07:16 And that’s tough because RNA is pretty fragile in the world.

00:07:20 And it probably didn’t get very big as a consequence.

00:07:24 But then proteins evolved and I’m skipping like hundreds

00:07:28 of millions of years of evolution.

00:07:30 Proteins evolved, maybe without a cell, maybe with a cell.

00:07:35 But then to make a cell,

00:07:38 there probably were some RNA based cells early on,

00:07:40 but they were pretty simple.

00:07:42 But the cells that we know of today,

00:07:43 even bacteria and single celled eukaryotes,

00:07:48 they have very long DNA genomes.

00:07:50 And you need a lot of DNA to make a complicated cell.

00:07:54 And so we think at some point, the RNA became DNA.

00:07:59 And probably one of the earliest enzymes that arose

00:08:04 is the enzyme that could copy that RNA into DNA,

00:08:06 which we now know today as reverse transcriptase,

00:08:09 which my former boss, David Baltimore

00:08:11 and Howard Temin co discovered.

00:08:14 And that enzyme arose and copied RNA to DNA.

00:08:19 And then you could build big cells with DNA

00:08:22 because DNA can be millions and millions of bases

00:08:24 in length and RNA, the longest RNA we know of

00:08:27 is 40,000 bases, not much bigger than the SARS CoV2.

00:08:32 What would you say is the magic moment along that line?

00:08:36 I saw it was one or two billion,

00:08:39 maybe three billion years it took

00:08:43 to go from bacteria to complex organism.

00:08:49 It seems like Earth had a very long time,

00:08:52 not a very long time without life,

00:08:54 and then a very long time with very primitive life.

00:08:59 Maybe I’m discriminating, calling bacteria primitive life.

00:09:03 People would object to you doing that for sure.

00:09:06 But it seems like complex organism

00:09:07 when it starts becoming something like,

00:09:11 I don’t know what’s a good, not animal like,

00:09:13 but more complexity than just like a single cell.

00:09:17 What do you think is the magic there?

00:09:20 What’s the hardest thing?

00:09:21 If you were trying to engineer Earth and build life

00:09:23 and build the simulations,

00:09:25 obviously we’re living in a video game, what this is.

00:09:27 So if you were trying to build this video game,

00:09:29 what’s the hardest part along this evolution?

00:09:32 Bacteria are mostly single cells.

00:09:36 They do make colonies.

00:09:37 They get together in biofilms, which are really important.

00:09:41 But they’re all single bacteria in that.

00:09:43 And the key is making an organism

00:09:46 where cells do different things.

00:09:49 We have skin cells and eye cells and brain cells.

00:09:51 Bacteria never do that.

00:09:53 And the reason is probably energy.

00:09:55 Bacteria can’t make enough energy to do that.

00:09:58 And so there was another cell

00:10:02 existing at the time, the archaea.

00:10:06 And the idea is that a bacteria went into an archaea

00:10:10 and became the modern day mitochondria,

00:10:13 the energy factory of the cell.

00:10:14 And that now led that cell

00:10:17 develop into more and more complicated organisms

00:10:19 like we have today.

00:10:20 It was all about energy.

00:10:21 So the mitochondria, the energy,

00:10:24 the mitochondria is the magic thing.

00:10:26 I think so.

00:10:27 It’s just actually not my idea.

00:10:28 It’s Nick Jones.

00:10:29 Have you heard of Nick Jones?

00:10:30 He’s an evolutionary biologist in the UK.

00:10:33 And he’s done experimental work on this.

00:10:36 And it’s his idea that the defining point

00:10:39 was the ability to make a lot of energy,

00:10:41 which a mitochondria can do.

00:10:43 It’s basically a whole bacteria inside of a bigger cell.

00:10:46 And that becomes what we now call eukaryotes

00:10:48 and that they can get more and more complicated.

00:10:51 So let me bring you back to the viruses.

00:10:53 I wanna finish that story.

00:10:54 Yeah, which points of viruses come along?

00:10:56 So remember, we have these precellular,

00:10:58 they’re called precellular replicons, right?

00:11:01 And so we have a precellular stage

00:11:05 where we have these self replicating molecules

00:11:08 and then cells arise.

00:11:10 And then the self replicating molecules invade the cells.

00:11:15 Why?

00:11:16 Because it’s a hospitable environment.

00:11:17 I mean, they didn’t know that.

00:11:19 They just went in and it turned out

00:11:20 it was beneficial for them, so it stuck.

00:11:23 And they replicate inside the cell now

00:11:25 where they have pools of everything they need.

00:11:27 They get more and more complicated.

00:11:29 And then they steal proteins from the cell

00:11:31 to build a protective shell.

00:11:34 And then they can be released as virus particles.

00:11:36 They’re now protected.

00:11:37 They can move from host to host.

00:11:39 And because they’re at the earliest stages

00:11:43 of cellular evolution, they can diversify

00:11:46 to infect anything that arises.

00:11:48 And that is why I think there’s so many of them

00:11:52 and everything on the planet is infected

00:11:54 because the ancestor of everything

00:11:56 was infected many years ago.

00:11:57 So it’s easier to steal than to build from scratch.

00:12:01 So it’s easier to sort of break into somebody else’s thing

00:12:05 and steal their proteins.

00:12:06 Yes.

00:12:07 My colleague, Dixon de Palmier, calls viruses safe crackers.

00:12:11 Safe crackers.

00:12:12 So it’s just, from an evolutionary perspective,

00:12:15 it’s easier to steal because you can select.

00:12:20 But then you have to figure out mechanisms for stealing,

00:12:23 for breaking into, for cracking the state.

00:12:25 Well, you don’t have to figure out.

00:12:26 It just happens, right?

00:12:28 Because molecules are so diverse

00:12:30 that a molecule gets into a cell

00:12:33 and if there’s a protein that sticks to it,

00:12:35 it’s gonna stick and that gives an advantage.

00:12:39 There’s no planning.

00:12:41 There’s no thinking about it, right?

00:12:43 It just happens.

00:12:44 Oh, we’ll return to that.

00:12:46 Ha ha ha ha ha.

00:12:48 What, but these numbers are crazy.

00:12:50 So what, as these more complex organisms evolved,

00:12:55 let’s take us humans as an example,

00:12:58 should we be afraid of these high numbers?

00:13:01 Should we be worried

00:13:02 that there’s so many viruses in the world?

00:13:05 Well, to a certain extent.

00:13:06 I mean, they have, it’s twofold.

00:13:08 They’re good and bad, right?

00:13:09 Viruses are no, there was no question they can be bad.

00:13:12 We know that because they’ve infected

00:13:14 and caused disease throughout history,

00:13:15 but we’re also, you and I are full of viruses

00:13:17 that don’t hurt us at all and probably help us

00:13:20 and every organism is the same.

00:13:22 So they are clearly beneficial as a consequence.

00:13:25 So I think, so every living thing on the planet

00:13:31 has multiple viruses infecting everything you can see.

00:13:35 And most of them I think we don’t worry about

00:13:39 because they can’t infect us.

00:13:41 They’re unable.

00:13:42 In fact, now you can actually take your feces

00:13:45 and send them to a company

00:13:47 and they will sequence your viruses in your feces for you,

00:13:49 your fecal virome, right?

00:13:52 And the most common virus in human feces

00:13:57 is a plant virus that infects peppers.

00:14:00 It’s called pepper model mosaic virus.

00:14:03 And that’s because people eat a lot of peppers

00:14:05 and it just passes right through you.

00:14:06 Cabbage is full of viruses from the insects

00:14:09 that walk on the cabbage in the fields.

00:14:10 We eat them, they just pass us.

00:14:13 So I think most of the viruses we don’t need to worry about

00:14:16 except when we’re talking about species

00:14:19 that are closest to us, mammals, of course.

00:14:23 And I think the most numerous ones

00:14:25 are the most concerning, they’re viruses like bats.

00:14:28 Bats are 20% of mammals and rodents are 40% of mammals.

00:14:33 And we humans live nearby, right?

00:14:37 And we know throughout history,

00:14:38 many viruses have come from bats and from rodents to people,

00:14:41 no question about it.

00:14:42 So there’s a proximity in terms of just living together

00:14:44 and a proximity genetically too.

00:14:46 So it’s more likely that a virus will jump

00:14:48 from a bat and a rodent.

00:14:49 And birds too.

00:14:50 Birds can give us their viruses that’s happened.

00:14:53 Influenza viruses come from birds mainly.

00:14:57 So I think those are the three species,

00:15:00 not species, it’s higher than species obviously,

00:15:02 but those are the three I would worry about

00:15:04 in terms of getting their viruses.

00:15:05 And we don’t really know what’s out there, right?

00:15:09 We have very little clue about what viruses,

00:15:12 and I’ve for years wanted to capture wild mice

00:15:16 in my backyard and see what viruses they have

00:15:18 because no one knows.

00:15:20 And it’s an easy.

00:15:21 We can’t ask them, so you mean map,

00:15:23 like is there a way?

00:15:24 I can’t ask them, yeah.

00:15:25 No, I would have to sacrifice them and take tissue

00:15:27 and then bring it in the lab and do genome sequencing.

00:15:30 So you can do a thorough sequencing

00:15:32 to determine which viruses.

00:15:33 Is there a sufficiently good categorization of viruses

00:15:37 where you’d be?

00:15:38 That’s a very good question.

00:15:40 So whenever you do sequence, right?

00:15:42 You get some environmental sample

00:15:44 and you extract nucleic acid and you sequence it.

00:15:47 What you do is you run it past the database.

00:15:49 The gold standard is the GenBank database

00:15:52 which is maintained here in the US.

00:15:54 And you see if you get any hits.

00:15:56 And then you can say, ah, look,

00:15:58 this sequence is similar to this virus.

00:16:01 And you can classify all the viruses you see.

00:16:03 The problem is 90% of your sequence is dark matter.

00:16:09 It doesn’t hit with anything.

00:16:11 It’s probably a lot of it is unknown viruses.

00:16:14 And that’s gonna be hard to figure out

00:16:16 because someone’s gonna have to go after it

00:16:17 and sort it through.

00:16:18 So yes, you can find a lot of viruses

00:16:21 and the numbers you get are astounding.

00:16:22 You can find thousands of new viruses

00:16:25 just by looking in various life forms.

00:16:28 But there are many more that we don’t pick up

00:16:30 because they’re not in the database.

00:16:32 Maybe this is a good time to take a quick tangent.

00:16:36 What do you think about Alpha Fold 2?

00:16:38 I don’t know if you’ve been paying attention to that.

00:16:40 With them DeepMind solving the protein folding problem

00:16:44 and then also releasing, first of all,

00:16:47 open sourcing the code, which is for me

00:16:49 as a software person, I love.

00:16:52 And then second of all, also making like 300,000 predictions

00:16:57 or something like that for different protein structures

00:17:00 and releasing that data.

00:17:01 Yeah.

00:17:03 On the side of,

00:17:04 because you’re saying there’s dark matter.

00:17:06 Right.

00:17:07 Is there something, first, what are your general thoughts,

00:17:12 level of excitement about their work?

00:17:15 And second, how can that be applied to viruses?

00:17:19 Do you think we’ll be able to explore

00:17:20 the dark matter of virology using machine learning?

00:17:24 Absolutely.

00:17:25 Because in all this dark sequence,

00:17:26 you can translate it and make a protein.

00:17:29 You can see what a protein looks like.

00:17:31 It has what we call an open reading frame, right?

00:17:34 A start and a stop.

00:17:35 And right now it’s just a bunch of amino acids,

00:17:37 but if we could fold it,

00:17:39 maybe the fold would be like something we already know,

00:17:43 some protein fold, which gives you a lot of clues, right?

00:17:46 Because there are only so many protein folds in biology

00:17:49 and that dark matter is probably one of them.

00:17:52 So I think that’s very exciting because for years,

00:17:55 I’ve followed structural biologists for years

00:17:59 and in the beginning,

00:18:01 we couldn’t even solve structures of viruses, they’re too big.

00:18:04 We could do small molecules like myoglobin,

00:18:06 that was the first one done, took years to do that.

00:18:09 Then as computational power increased,

00:18:13 then they could start to do viruses,

00:18:14 but it took a long time.

00:18:16 X ray crystallography,

00:18:18 depending on getting crystals of the virus, right?

00:18:21 And now we can do cryo electron microscopy,

00:18:24 which is much faster.

00:18:26 You could solve,

00:18:27 the spike of SARS COVID 2 was solved in two months

00:18:29 by Jason McClelland here in Austin actually

00:18:32 at the beginning of the pandemic,

00:18:34 but you’re limited, you can’t do huge proteins.

00:18:38 You can only do moderately sized ones.

00:18:41 So, or actually you can do viruses,

00:18:45 but you can’t do small proteins.

00:18:47 So that’s speeded it up, but it’s still too fast to solve.

00:18:50 You get a new protein, you wanna solve its structure.

00:18:52 So if we could predict it,

00:18:53 and I know from talking to structural biologists,

00:18:55 this has been their holy grail from day one.

00:18:58 They wanna be able to take a sequence of a protein,

00:19:00 put it in a computer and have the structure put out

00:19:03 without having to do all the experiment.

00:19:05 So that’s why this is very exciting

00:19:06 that you can predict it.

00:19:08 That mean it’s not finished obviously,

00:19:10 and there’s more to do,

00:19:11 but I think it will be a day

00:19:12 where you could take any amino acid sequence

00:19:15 and predict what it’s gonna look like.

00:19:17 See, but like aren’t structural biologists

00:19:19 gonna get greedy?

00:19:20 So once you have that,

00:19:21 don’t you wanna go more complicated then?

00:19:24 Don’t you wanna go,

00:19:25 because that’s just the first step, right?

00:19:27 You go from amino acid to the structure,

00:19:29 then there’s like multiple protein interactions.

00:19:32 Like how do you get to the virus?

00:19:34 Well, so that’s what the ultimate goal

00:19:37 of getting a structure is that then you can do experiments

00:19:39 and figure out what the structure means, right?

00:19:42 So many, in the old days,

00:19:44 structural biology was a career in itself.

00:19:48 You worked with people who had a system

00:19:50 and just solve proteins for them,

00:19:51 and then you moved on to another one.

00:19:52 You didn’t really do any experiments.

00:19:54 The other people got to do all the interesting experiments.

00:19:57 Now, young structural biologists are multifaceted.

00:20:02 They solve the structure,

00:20:03 and then they say,

00:20:04 what happens if we change this amino acid?

00:20:06 Oh, look, it blocks binding to the receptor.

00:20:09 This must be the receptor binding interface.

00:20:11 So that’s the exciting stuff, absolutely,

00:20:13 is doing the experiment.

00:20:14 Well, I wonder if you can do some kinds of like simulations

00:20:18 of like, you know, different proteins

00:20:22 or multi protein systems going to war against each other,

00:20:27 like to try to figure out, you know,

00:20:31 reinforcement learning is used in alpha zero, for example,

00:20:35 to learn chess and go,

00:20:37 and that’s using the self play mechanism

00:20:39 where the thing plays against itself

00:20:41 and learns better and better.

00:20:42 Whether you can, I wonder if you can simulate

00:20:45 almost evolution in that way

00:20:46 for primitive biological systems,

00:20:49 have them in simulation, fight each other,

00:20:52 and then see what comes out,

00:20:53 like a super dangerous virus comes out

00:20:55 or super like Chuck Norris type of thing

00:20:58 that defends against the super dangerous virus,

00:21:00 and it’s all in simulation.

00:21:01 So an example would be,

00:21:03 we have all these variants of SARS COVID 2 arising, right?

00:21:07 Which look to be selected by immune responses,

00:21:13 but we know what amino acids are changing in the spike

00:21:17 and how they block antibody binding.

00:21:19 You could simulate that.

00:21:20 You could say, what is the antibody looking at?

00:21:24 Where antibodies bind on proteins are called epitopes, right?

00:21:28 You could map them all and change them in a simulation

00:21:30 one by one and go back and forth

00:21:32 between the antibody and the virus.

00:21:33 So all these, evolution is what we call an arms race, right?

00:21:38 The virus changes and then it evades the host

00:21:41 and then the host can change.

00:21:43 The host takes longer to change though, unfortunately.

00:21:45 It takes geological time, but it can.

00:21:47 And then the virus can change

00:21:49 and it can go back and forth.

00:21:50 And we can see evidence of this in genome sequences

00:21:54 of both viruses and their hosts.

00:21:56 And so you can take a protein in a host

00:22:00 that is a receptor for multiple viruses

00:22:02 and you can see all the impacts of virus pressure on it.

00:22:05 And you could simulate that for sure.

00:22:07 And that’s just one thing that you could do.

00:22:09 You could simulate changes in say an enzyme

00:22:13 that makes it resistant to a drug

00:22:15 and predict all the drug resistance.

00:22:18 But the problem is people like me,

00:22:21 the experimental virologists

00:22:22 don’t know how to do any of that.

00:22:24 So we need to collaborate with people, I guess.

00:22:27 Oh, with other humans.

00:22:29 We do that, we do that.

00:22:31 But with people from a field that we’re not used to,

00:22:35 I suppose people who, would it be AI, I suppose?

00:22:39 Yeah, machine learning people.

00:22:40 Machine learning people.

00:22:41 And you would say, look, this is the biological problem.

00:22:44 Is there a way we can use your tools to attack it?

00:22:46 The problem is those people are antisocial introverts

00:22:51 that have a place like this

00:22:55 and try to hide from other people in the world.

00:22:57 Very difficult to find in the wild.

00:23:00 Okay, so outside of doing amazing brilliant lectures online,

00:23:04 you host and produce five, I would say, related podcasts,

00:23:09 including my favorite, This Week in Virology,

00:23:13 also This Week in Parasitism,

00:23:16 This Week in Microbiology, and so on.

00:23:18 So you’re a good person to ask,

00:23:21 what are the categories of small things,

00:23:23 small biological things in this world that can kill you,

00:23:27 kill us humans?

00:23:30 Let’s look, you said like most viruses are friendly

00:23:33 or at least not unfriendly.

00:23:35 But let’s look at the unfriendly ones.

00:23:38 And viruses and bacteria and those kinds of things.

00:23:42 When you look at the full spectrum of things

00:23:43 that can kill you, can you kind of paint a brief picture?

00:23:47 Yeah, I think the big picture is that

00:23:50 the things that can kill you are a minority

00:23:52 of everything that’s out there.

00:23:54 And we’re talking about molecules.

00:23:57 So we have in us proteins that can kill us.

00:24:01 Preons that are just, it’s a protein in us.

00:24:04 And if it misfolds, it makes all of its other copies misfold

00:24:08 and then you die of a neurological disease.

00:24:11 That’s pretty rare.

00:24:13 So there are proteins, there are viruses.

00:24:16 And as I said, only certain ones can kill us.

00:24:20 But even if we get those from animals,

00:24:22 it’s not straightforward.

00:24:24 If you look at SARS CoV2, right?

00:24:26 This is probably a once in a hundred year pandemic,

00:24:29 I would say, equivalent to 1918 in its devastation.

00:24:34 And in between there have been smaller pandemics

00:24:36 of other viruses, but it doesn’t happen all that often.

00:24:39 So we have a lot of viruses.

00:24:40 We have a lot of bacteria of various sorts

00:24:43 that can cause infections in us.

00:24:46 And it’s a limited number, right?

00:24:49 You’re streptococci and staphylococci and clostridia.

00:24:52 We could go on and on, but we know how to handle those.

00:24:56 As long as we have antimicrobials,

00:24:58 it’s just that we abuse them and we get resistant.

00:25:00 So that can be a problem.

00:25:02 Then we have fungi, not mushrooms,

00:25:04 but much smaller fungi that multiply sub microscopic

00:25:09 or just at the microscopic level.

00:25:11 They can, in dry climates of the US,

00:25:13 you can inhale their spores and they can grow in your lung

00:25:16 if you’re immunosuppressed and so forth.

00:25:18 So those are the tiny guys.

00:25:21 And then we have parasites,

00:25:22 which we do this week in parasitism,

00:25:24 where single cells, even worms of various sorts

00:25:30 can invade you and cause all sorts of problems.

00:25:33 How, I was like kind of terrified to listen to that podcast.

00:25:37 What’s it like?

00:25:39 Well, I mean, what you learn is that you can,

00:25:45 you travel somewhere and you can get infected

00:25:47 and bring it back home.

00:25:48 Here in the US, we do have certain kinds of parasites,

00:25:52 but because of our lifestyle,

00:25:55 we more or less have avoided them.

00:25:56 For example, there’s a parasite called toxoplasma,

00:26:00 which is infected most of the world, actually,

00:26:03 because a lot of people like to eat raw meat

00:26:06 and you would get it from raw meat.

00:26:08 And we’re not as fond of that here in the US.

00:26:12 We like to cook our meat,

00:26:13 but that could be a consequence of eating raw meat.

00:26:16 Is that what leads to, what is it called, toxoplasmosis?

00:26:19 Yeah, so toxoplasmosis, it’s mainly,

00:26:25 a big issue is if you’re pregnant and you get toxo,

00:26:28 then your fetus is gonna be very badly malformed.

00:26:32 It’s gonna have brain defects and so forth.

00:26:36 And animals can get it as well.

00:26:39 So there are a lot of parasites of that nature,

00:26:41 which you often acquire by food,

00:26:43 eating food of different sorts.

00:26:45 And it usually happens elsewhere.

00:26:47 On This Week in Parasitism, we do a case.

00:26:50 So Daniel Griffin is our resident physician.

00:26:54 He’s a doctor, a real doctor, right?

00:26:56 And every month, he comes up with a case.

00:26:58 Okay, this is a person I saw.

00:27:00 And last month, this young lady had traveled somewhere

00:27:04 and she ate raw fish.

00:27:09 It was somewhere Southeast Asia or something.

00:27:11 And she ended up with red bumps all over her skin.

00:27:15 And it turned out it was a parasite from the fish

00:27:17 that moved around in her and very easy to cure.

00:27:21 We have, if the right doctors and the right drugs,

00:27:23 you can cure all these things.

00:27:24 What about diagnose, like connect the red spots

00:27:27 to the fact that it’s a parasite?

00:27:28 It’s very easy if you have the right diagnostics.

00:27:31 Now, Daniel often goes to parts of the world

00:27:33 where they don’t have diagnostics

00:27:34 and he has to use other mechanisms.

00:27:37 He may have to take a bit and look at it under a microscope.

00:27:40 And then he may not be able to get the drug

00:27:41 depending on where he is.

00:27:43 But often he sees patients who come back to the US

00:27:47 and they get diarrhea or they have a fever.

00:27:49 And he said, where have you been?

00:27:50 And he can put two and two together.

00:27:52 And so we let our listeners do that.

00:27:53 And they all send in guesses.

00:27:55 And it’s wonderful to hear them go through this.

00:27:57 So there are a lot of parasites that can get you.

00:28:00 You have to be careful about eating when you go overseas.

00:28:03 And water too?

00:28:04 Water as well.

00:28:05 And in parts of Africa, there are parasites in the lakes

00:28:09 that if you go swimming, they can invade you.

00:28:11 And in fact, they can go into your hair follicles

00:28:14 and burrow in and get into your bloodstream.

00:28:15 That’s exciting.

00:28:16 So Daniel is interesting because he’s very adventurous

00:28:20 and he’s not afraid of any of this.

00:28:22 So there’s a famous lake in Africa, Lake Malawi,

00:28:26 which harbors a lot of these parasites.

00:28:28 And he said, oh yeah, yeah, I just make sure

00:28:30 I towel off vigorously when I get out and get rid of them.

00:28:34 And that was the name of an episode.

00:28:37 But food is, sushi, you can get worms from sushi.

00:28:43 And the solution is to freeze it.

00:28:46 And many sushi restaurants now have liquid nitrogen.

00:28:49 They snap freeze their sushi and that kills all the parasites.

00:28:53 And a study was actually done in Japan

00:28:56 showing that freezing does not alter the taste of sushi

00:28:59 because it’s up, you see a big industry there.

00:29:01 Wow, that’s brilliant.

00:29:03 That’s brilliant.

00:29:04 Yeah, I was thinking about, I’m so boring and bland

00:29:10 that especially when I am now in Texas here

00:29:12 and I’ve been eating quite a bit of barbecue,

00:29:14 I realized I really haven’t explored the culinary world.

00:29:18 And I’ve been curious to travel and taste different foods.

00:29:22 Is there something you could say by way of advice,

00:29:26 channeling Daniel, I guess, if you were to travel

00:29:30 in the world, if eating is the thing

00:29:32 that gets you the parasites,

00:29:34 what’s a good advice for eating

00:29:37 in strange parts of the world, Mongolia, India, China?

00:29:41 Is there something you could say by way of advice?

00:29:43 I think Daniel would say,

00:29:45 make sure your food is cooked, right?

00:29:47 Cooked, but that’s so boring.

00:29:49 Yeah, it’s unfortunate.

00:29:50 And he would agree with you

00:29:52 because many vegetables are delicious.

00:29:55 Salads even are delicious, not cooked,

00:29:57 but they can have parasites in them.

00:29:59 Meats, fish, people like to have uncooked fish.

00:30:04 So if you wanna be really safe and boring,

00:30:06 just make sure everything is cooked.

00:30:07 And now we have a case this week on TWIP

00:30:11 of a young man who went, I forgot where he went,

00:30:14 but he stayed in a hotel.

00:30:15 I think, oh, Oaxaca, Mexico.

00:30:18 Stayed in a hotel.

00:30:20 And he came back with diarrhea and fever.

00:30:23 And he said, I don’t know where, I stayed in the hotel.

00:30:26 I just ate hotel food, lots of vegetables and fruits,

00:30:30 and probably they weren’t washed with clean water.

00:30:32 He got something from that.

00:30:34 The bottom line is most of these infections

00:30:38 with parasites can be diagnosed,

00:30:40 and you can be treated, and you’ll be fine.

00:30:42 So if you really wanna experience the cuisine,

00:30:47 I don’t think you should worry about it.

00:30:49 That’s what Daniel would say.

00:30:50 Let’s return to the basics.

00:30:51 We can then jump around all over the place.

00:30:54 What are the basic principles of virology?

00:30:58 Maybe a good place to start is what is a virus?

00:31:02 That’s great.

00:31:03 I mean, I talk in my first lecture for 20 minutes

00:31:05 before I get to that.

00:31:07 But, and I wonder if I should put it up front,

00:31:10 but it’s kind of a boring definition.

00:31:12 So if you do that first, people will turn off.

00:31:14 So first you tell them about all the millions and billions

00:31:17 of viruses around.

00:31:18 So a virus, we have a very specific definition

00:31:22 because it’s different from everything else on the planet.

00:31:26 Because first of all, it’s a parasite.

00:31:28 It takes, a parasite means you take something

00:31:32 from someone else.

00:31:33 We have human parasites who take money from others, right?

00:31:36 But in biological terms, a parasite takes something

00:31:40 from the host that the host would otherwise use energy

00:31:44 or some building block or something.

00:31:46 There’s never really a symbiotic relationship

00:31:48 between a virus and a host.

00:31:50 Well, there can be.

00:31:52 So that’s the dichotomy I think is that we define them

00:31:54 as parasites, yet I just told you 20 minutes ago

00:31:58 that many viruses are probably beneficial.

00:32:01 So I think what it means is we, at some point

00:32:04 we’re gonna have to change our definition, right?

00:32:06 Because after all, definitions we make are just constructs

00:32:12 that make it easy for us to study,

00:32:14 that don’t necessarily represent what’s right.

00:32:16 Yeah, like Pluto was a planet at first

00:32:20 and now it’s not a planet anymore

00:32:21 and a lot of people are very upset.

00:32:23 But it’s only according to us.

00:32:24 There may be another race living somewhere else

00:32:27 who thinks it’s a planet, right?

00:32:28 Well, maybe that’s why viruses are attacking humans.

00:32:30 They’re very angry.

00:32:31 They’re calling them parasites.

00:32:33 So right now our definition includes parasite

00:32:38 because a virus cannot do anything without a cell.

00:32:41 If this mug were full of viruses,

00:32:44 it would not do anything for years.

00:32:46 It would eventually probably lose its infectivity,

00:32:49 but it’s not gonna reproduce here, it needs cells.

00:32:52 And to the first people who discovered viruses,

00:32:54 that was astounding that they didn’t just reproduce,

00:32:57 divide on their own like bacteria.

00:32:59 So a virus needs to get inside of a cell,

00:33:02 inside the cell, it can’t just hang around on the surface.

00:33:05 It needs to get in in order to make more of itself.

00:33:09 And so we call it an obligate intracellular parasite

00:33:13 because it needs to get in a cell

00:33:15 and then it takes things from the cell

00:33:17 in the form of all kinds of molecules

00:33:19 and processes and energy and so forth to make new viruses.

00:33:23 Obligate means it’s obligated to be inside the cell.

00:33:26 Absolutely, it will not reproduce outside of the cell.

00:33:30 So this mug of viruses can in no way be living,

00:33:35 in my opinion.

00:33:36 However, once it gets inside of a cell,

00:33:39 now the cell is a virus infected cell, it’s alive.

00:33:42 So a virus, in my view, has two phases, right?

00:33:45 It’s this nonliving particulate phase

00:33:48 that everyone is used to.

00:33:50 I’ll send you, you need a virus for your table.

00:33:52 I’ll send you a nice model.

00:33:54 I think it would look good here.

00:33:55 Which, yes, definitely.

00:33:56 You don’t have to go with all this other stuff.

00:33:57 Yeah, well, these are all mechanical.

00:33:59 There’s no biology here.

00:34:01 So you wouldn’t want a virus here?

00:34:02 No, I’d want a virus, of course.

00:34:04 No, I’ll send you one and then you can look at it.

00:34:06 Because now that we have the three dimensional structures

00:34:09 solved by structural biologists,

00:34:12 we take the coordinates and we put it in a 3D printer

00:34:14 and you can make amazing models, right?

00:34:18 Of any virus.

00:34:18 And so there’s a huge variety of viruses?

00:34:21 Huge, that we know of,

00:34:23 which is only a fraction of what’s out there.

00:34:24 What’s the categories?

00:34:25 So there’s RNA, there’s DNA viruses.

00:34:27 What are those, what’s DNA and RNA?

00:34:30 Two broad categorizations.

00:34:33 RNA, these are genetic material.

00:34:37 Can be two different chemicals.

00:34:39 So RNA, everything else on the planet besides viruses

00:34:43 is all DNA based.

00:34:44 You and I are DNA based.

00:34:45 Everything on the planet today is DNA based,

00:34:47 except some viruses are RNA based.

00:34:50 And that’s because, as I mentioned earlier,

00:34:53 the first life that arose on the planet was RNA based.

00:34:57 Yeah, so these are like old school viruses.

00:34:59 These are old school.

00:35:00 We call relics, yeah.

00:35:02 Relics, and this has got a name,

00:35:04 it’s called the RNA world, which I think is great.

00:35:06 Is it big still, or are the relics dying out?

00:35:09 Oh no, the relics, in my opinion,

00:35:11 are the most successful viruses, the RNA viruses.

00:35:14 And SARS CoV2 is an RNA virus.

00:35:16 We can talk about why they’re so successful.

00:35:19 But you have, broadly speaking, viruses with RNA,

00:35:22 genetic information, which are relics.

00:35:24 Of course, they’re contemporary.

00:35:26 They have adapted to the modern world

00:35:28 and the modern organisms living in it.

00:35:31 And then we have DNA based viruses,

00:35:33 which are extremely conservative and slow.

00:35:36 They’re very successful.

00:35:37 Everyone has a herpes virus infection,

00:35:40 but they don’t get the news like the RNA viruses do.

00:35:44 The HIVs and the influenza viruses

00:35:46 and the SARS Coronaviruses, they get all the press

00:35:49 and they’re RNA based, because RNA lets you change

00:35:52 more so than DNA.

00:35:54 So they evolve much faster, the RNA viruses.

00:35:57 Much faster.

00:35:58 And in fact, I have an lecture on evolution.

00:36:01 I don’t know if you’ve listened to that one.

00:36:03 You should, it’s really, I think it’s really interesting.

00:36:07 RNA viruses exist at their error threshold,

00:36:13 which means they can’t make any more mutations

00:36:17 when they reproduce, otherwise they’re dead.

00:36:19 They would go extinct.

00:36:20 They’re evolving at their error threshold.

00:36:23 DNA viruses are hundreds of times lower

00:36:26 than their error thresholds.

00:36:28 And we know this, we can do an experiment to find that out.

00:36:31 Now, why that is, is a good question,

00:36:33 but that’s the reason why RNA viruses

00:36:38 are far more successful.

00:36:39 They infect many more hosts and they’re very,

00:36:42 I would say slippery.

00:36:44 They can change hosts really quickly,

00:36:46 because in any animal harboring an RNA virus,

00:36:50 like let’s say a bat in some cave somewhere,

00:36:52 it’s not just one genome.

00:36:55 It’s millions of different genomes of all kinds,

00:36:58 all within the framework of, say, coronavirus,

00:37:01 but they’re all different.

00:37:02 And one genome in there might just be right

00:37:04 for infecting a person if it ever encountered that person.

00:37:08 I mean, that’s the thing that.

00:37:09 Or there could be a large number.

00:37:11 This is a tiny fraction, but a large number of them.

00:37:15 And they’re all operating at the threshold of error.

00:37:18 That’s fascinating.

00:37:19 It’s like little, like it’s like startups,

00:37:21 little entrepreneurs, like a startup world.

00:37:23 Yes, and many of them fail.

00:37:25 Yeah, many of them fail.

00:37:26 Many of the changes fail.

00:37:26 And then there’s the DNA viruses that are like the IBM

00:37:29 and the Google. Exactly, exactly.

00:37:30 The big corporations.

00:37:31 That’s very good, I like that.

00:37:32 They become conservative with the bureaucracies

00:37:34 and all that kind of stuff, so they.

00:37:34 And a lot of baggage.

00:37:36 Yeah, yeah, it’s expensive for them to reproduce, yeah.

00:37:39 And they don’t move quickly.

00:37:40 Yes, the RNA viruses are the fast moving members.

00:37:43 So that’s what a virus is.

00:37:45 We call them ovulated intracellular parasites.

00:37:48 And then I told you there’s DNA and RNA,

00:37:50 but then let’s go further.

00:37:52 The nucleic acid is not naked.

00:37:56 Because naked nucleic acid in the world isn’t good.

00:37:59 I mean, it existed in the precellular world,

00:38:03 but there probably weren’t a lot of threats to it then.

00:38:07 Naked nucleic acid doesn’t last long in the environment.

00:38:09 So they’re covered, the nucleic acid is covered.

00:38:12 It can be covered with a protein shell,

00:38:13 a pure protein shell, or it can have a membrane around it,

00:38:18 which would be lipids from the host cell.

00:38:22 So lipids, so it’s a fatty membrane.

00:38:26 Fatty membrane, yeah, so our cells

00:38:27 are coated with fatty membranes, right?

00:38:30 Our cells, the outer plasma membrane, right?

00:38:32 That’s the same.

00:38:33 Viruses can be too.

00:38:34 So they’re kind of like cells,

00:38:35 but without the ability to do the mitochondria stuff.

00:38:38 Some are, they don’t have nuclei,

00:38:41 they don’t have mitochondria.

00:38:42 But they do have a nucleic acid, they have a membrane,

00:38:45 and then of course there’s spikes in the membrane

00:38:48 that allow them to attach to cells.

00:38:51 And so that completes our two different kinds.

00:38:53 So they have, they all have like attachment mechanisms,

00:38:55 like ways to, like keys into the cell.

00:38:59 They all have to get into cells.

00:39:01 There are a couple of exceptions though.

00:39:05 There are viruses of fungi and plants.

00:39:10 So let’s do the fungi.

00:39:11 Fungi would be like yeast.

00:39:13 The yeast cell wall is pretty hard to get through.

00:39:17 So viruses typically don’t attach to a yeast

00:39:21 and get inside.

00:39:22 Rather, they just live in the yeast forever.

00:39:24 And they multiply as mostly nucleic acids,

00:39:27 and as the yeast divide, they go into the daughter cells.

00:39:30 And that’s how they exist.

00:39:31 Plant viruses, also the plant cell wall

00:39:34 would be very hard to get across by binding a protein.

00:39:39 So plant viruses get into plants either by

00:39:43 pests that inject them in, they’re sucking sap out,

00:39:48 and they inject virus at the same time.

00:39:49 Or farmers, they have contaminated farm equipment

00:39:52 and they roll over the plants and introduces viruses.

00:39:55 So those fungi and plant viruses,

00:39:57 they don’t have this specific receptor binding

00:40:00 to get them into the cell.

00:40:01 But everything else, yeah, the virus binds

00:40:03 to something on the surface, very specific.

00:40:05 It’s taken into the cell because that’s what cells do.

00:40:09 When things bind their exterior, they take it in.

00:40:12 Because in most cases, it’s good.

00:40:14 It’s something they need.

00:40:15 And so the virus slips in.

00:40:17 I guess you’d call that a Trojan horse, right?

00:40:19 Trojan horse.

00:40:20 It’s so hard to not anthropomorphize this whole thing.

00:40:23 It is hard.

00:40:24 So obviously, they don’t know any of this.

00:40:26 It’s not an actual Trojan horse.

00:40:29 So they’re not getting actually tricked

00:40:32 in the way humans trick each other.

00:40:34 No, it’s all passive.

00:40:35 And it’s just through so many years of evolution,

00:40:38 you select something that works, and it continues.

00:40:42 And what survives then goes on

00:40:44 with perhaps a slightly different approach.

00:40:48 I love this idea of passive.

00:40:49 Of course, according to Sam Harris,

00:40:52 so for my sufficiently intelligent alien civilization

00:40:54 observing humans, our behavior might seem passive too

00:40:58 because they understand fully exactly what we’re doing.

00:41:00 And then there’s no free will,

00:41:02 and we’re all just operating in the same way.

00:41:04 Could be.

00:41:04 A cell does, but just a much higher level of complexity.

00:41:07 Yeah, so I love the distinction between active and passive.

00:41:11 I mean, the point is, I think anthropomorphizing

00:41:14 to a certain extent is fine

00:41:15 because it helps people understand.

00:41:17 But when you start to say,

00:41:19 I think the virus is doing that

00:41:21 because then you’re putting a human lens on it,

00:41:24 and you may be wrong.

00:41:26 Yeah.

00:41:27 Because you don’t know why things happen for a virus.

00:41:30 So right now, we have variants emerging,

00:41:33 and people say, well, I think it’s because the antibodies

00:41:35 are selecting for variants.

00:41:38 That’s a good idea,

00:41:39 but it may not be the only thing that’s going on.

00:41:41 You start imagining them coming to the table negotiating.

00:41:45 Yeah, you get into trouble with that.

00:41:47 That’s why I tell my students,

00:41:49 be careful about the anthropomorphizing

00:41:51 because you’re gonna apply your values to a virus,

00:41:55 and you have different values.

00:41:57 You’re a human, and you have,

00:41:58 what you think is the reason for this outcome

00:42:01 may not be right, that’s all.

00:42:02 Just be open minded about it.

00:42:04 In both directions.

00:42:05 I actually, one of the things that pushed back

00:42:07 on this in the space of robotics,

00:42:10 people, most people in robotics

00:42:12 try to not anthropomorphize.

00:42:14 For example, they don’t give a gender or a name to robots.

00:42:17 They really try to see it as a machine.

00:42:20 And to me, that makes sense in one way,

00:42:23 but it totally doesn’t make sense in another.

00:42:25 If that robot is to interact,

00:42:27 operate in the human world and interact with humans,

00:42:30 we have to anthropomorphize it

00:42:33 in order to understand, as an engineering problem,

00:42:38 how should it operate in a human world?

00:42:42 Now, the difference with viruses, the scale of operation,

00:42:46 it doesn’t make sense to treat them as humanlike

00:42:49 because the scale of operations is much smaller.

00:42:51 But with robots, you’re in the same time scale,

00:42:54 the same spatial scale.

00:42:55 Of course, in the movies,

00:42:56 they always give them names and personalities, right?

00:42:58 Yeah, well, yeah, that’s the,

00:43:00 but that’s my argument is we should do the same

00:43:02 when you’re trying to solve

00:43:03 the engineering problem of robotics too.

00:43:06 It’s not just for the movies.

00:43:07 Well, let me ask you this,

00:43:08 because you’ve said, controversially, not really,

00:43:12 that viruses are not living.

00:43:17 Defend yourself.

00:43:19 Are viruses alive or not?

00:43:20 So I’ve seen many people say, oh, they have to be,

00:43:22 they have nucleic acids, they evolve, they mutate.

00:43:27 That’s all true, but they don’t do it on their own.

00:43:29 The particles in my mug are just not doing any of that

00:43:32 unless they get into a cell.

00:43:33 So a virus infected cell is alive.

00:43:36 I totally agree with that,

00:43:37 because in fact, when a virus gets in a cell,

00:43:40 it converts it into a virus making factory, if you will.

00:43:45 It’s no longer a cell.

00:43:47 Some people call it a viro cell.

00:43:48 I don’t really like that, but it’s fine.

00:43:51 So that’s what I’m talking about.

00:43:53 The particle is not alive.

00:43:54 You can have your virus infected cell as alive,

00:43:57 but the particle, it just would not do anything forever

00:44:02 without getting inside of a cell.

00:44:03 But once it’s in a cell, it is alive then,

00:44:07 but it’s no longer a particle.

00:44:08 It’s taken apart and nucleic acid is moving

00:44:10 around the cell, it’s making proteins.

00:44:12 Eventually it makes new particles.

00:44:14 And then those particles released from the cell,

00:44:16 they’re not living anymore.

00:44:17 So it’s kind of, I think it’s kind of like a spore,

00:44:21 a spore of a, or a seed.

00:44:25 Although the seed just doesn’t work because the seeds,

00:44:28 the cells in the seed have the ability

00:44:29 to make their own energy and so forth.

00:44:31 But a bacterial spore, and it’s the same thing,

00:44:34 doesn’t do anything unless you add water and nutrients

00:44:36 and then it starts to divide.

00:44:37 But it doesn’t need to get into a cell.

00:44:39 It’s very different from a virus.

00:44:40 So that’s why the particle.

00:44:42 And when people think of virus,

00:44:45 they’re always thinking of the particle.

00:44:47 And that’s why I say it can’t be alive

00:44:49 because the particle can’t do anything on its own.

00:44:51 But if you think of a virus as an organism

00:44:53 with a particle phase in a cell,

00:44:55 then it makes sense to be alive.

00:44:58 And by the way, when you say particle,

00:44:59 you’re referring to that structure

00:45:01 that you’ve been mentioning,

00:45:02 some parts of the membrane and not,

00:45:03 that’s been called, what is that,

00:45:05 a virion particle or something?

00:45:06 Virion.

00:45:07 So it’s what you should have here.

00:45:09 I’ll send you one.

00:45:10 And then you can refer to it.

00:45:11 What’s the sexiest one to have?

00:45:13 Like what, in terms of particles to have on a table?

00:45:17 Well, unfortunately, the ones that you can 3D print.

00:45:21 Oh, they’re not going to be super.

00:45:23 They’re the ones that we know the structures of, right?

00:45:26 So someone sent me last year

00:45:29 a 3D model of SARS CoV2, and it’s beautiful.

00:45:32 It’s actually cracked open so you can see the RNA

00:45:34 and the spikes are sticking out.

00:45:36 And they even put some antibodies sticking onto the spikes.

00:45:39 And I mean, when I show this on a live stream,

00:45:42 people love this.

00:45:43 They go, oh my God, that’s beautiful.

00:45:45 It is, it’s absolutely gorgeous.

00:45:46 I have that.

00:45:47 I have my virus that I worked on

00:45:49 most of my career, poliovirus.

00:45:50 I have a 3D model of that, which I actually just had made.

00:45:54 It’s gorgeous.

00:45:55 And you can have it made in any color you want, right?

00:45:57 What would you say is the most fascinating,

00:46:01 terrifying, surprising, beautiful virus to you?

00:46:05 So of all the viruses you looked at,

00:46:08 sometimes when you just sit late at night

00:46:10 with a glass of wine looking over the sunset,

00:46:13 which virus do you think about?

00:46:16 So fulfilling all of those adjectives is hard, right?

00:46:21 Fascinating, exciting, terrifying.

00:46:24 Well, the terrifying is an optional one, I think,

00:46:27 because maybe that puts a lot of pressure.

00:46:30 See, terrifying, to me, I’m not terrified

00:46:34 because I think we can handle most viruses.

00:46:37 As you see with this brand new one that emerged a year ago,

00:46:40 we can handle it.

00:46:42 From a virology perspective.

00:46:44 Yeah, I mean, the human perspective

00:46:45 is a different story, right?

00:46:46 That’s always an issue.

00:46:47 But so I think there are a couple of different categories

00:46:55 of virus.

00:46:55 You could do the terrifying,

00:46:57 and I think rabies is a terrifying virus

00:47:00 because unless you’re vaccinated,

00:47:02 100% certainty you’re gonna die.

00:47:05 So you get bitten by a rabid raccoon or bat or dog, whatever,

00:47:11 and there’s still 70,000 deaths a year of rabies

00:47:15 throughout the world because there are a lot of feral dogs

00:47:17 running around that are infected.

00:47:19 Unless you’re vaccinated, you’re gonna die.

00:47:21 There’s nothing we can do.

00:47:23 But we do have a vaccine

00:47:24 which we can actually give you

00:47:26 even after you’ve been bitten,

00:47:27 which is the only vaccine that works that way.

00:47:31 It’s a therapeutic, right?

00:47:32 It will treat your illness

00:47:34 because the disease takes so long to develop.

00:47:38 Eventually, you get all kinds of neurological issues

00:47:41 and paralysis and so forth, but it takes time,

00:47:44 and you can be vaccinated.

00:47:45 It will prevent that in the meanwhile.

00:47:47 So people always say,

00:47:48 what’s the most lethal virus?

00:47:50 Is it Ebola?

00:47:51 I said, no, it’s actually rabies.

00:47:53 Unless you’re vaccinated, it will kill you.

00:47:56 Maybe it’s good to linger,

00:47:57 because we’ll talk about vaccines a few times today.

00:48:01 It’s good to linger on cases

00:48:04 where vaccines have clearly,

00:48:09 undoubtedly helped human civilization.

00:48:12 And it seems like rabies is a good example.

00:48:15 Oh, rabies is great because everyone knows what happens

00:48:19 when somebody gets rabies, right?

00:48:21 You have fear of water, hydrophobia.

00:48:26 Your body becomes spastic and stiff and jerks around,

00:48:31 and you lose consciousness.

00:48:33 You can’t, no more.

00:48:35 It’s not a fun ride to death.

00:48:36 It’s horrible.

00:48:37 It’s a horrible way to die.

00:48:39 So I think most people know that.

00:48:40 It’s been popularized enough in media, right?

00:48:44 So that nobody would probably object to getting,

00:48:47 oh, I was just bit by this raccoon and it ran off.

00:48:51 Okay, well, we should assume it’s rabid.

00:48:53 We should immunize you.

00:48:54 And most people are okay with that,

00:48:56 because they know the consequences.

00:48:57 And it’s also pretty rare, right?

00:48:59 It’s not like something that you’re trying to get

00:49:02 into the arms of 250, 300 million Americans.

00:49:06 That’s hard.

00:49:07 But the few thousand every year, it’s easy.

00:49:11 So the transmissibility is difficult, right?

00:49:13 It has to, oh, it’s not airborne.

00:49:16 It’s not airborne.

00:49:17 It’s just you have to be bitten.

00:49:19 Although some people claim you could walk into a cave

00:49:24 and the bats breathing out rabies virus could infect you,

00:49:28 but I don’t really think that’s well substantiated.

00:49:32 I think it’s a bite.

00:49:33 How would you do a study on that?

00:49:34 Yeah, it’s very hard to do.

00:49:36 You’d have to collect the vapors in the cave

00:49:38 and show that they’re infectious, which,

00:49:40 and by the way, someone emailed me the other day.

00:49:43 You’ll like this.

00:49:44 They say, why can’t we just immunize

00:49:45 all the bats in the world against these viruses?

00:49:49 And I said, well, how would you do that?

00:49:50 There are caves everywhere, right?

00:49:52 Yeah.

00:49:53 He said, well, maybe you could just go and aerosolize.

00:49:56 Yeah.

00:49:57 It’s pretty dangerous.

00:49:58 And then all the bats should have vaccine passports

00:50:01 to make sure that they’re all.

00:50:02 Yeah, and I said, you have to get their consent

00:50:03 before you do it.

00:50:05 But we do immunize wildlife against rabies.

00:50:12 We have rabies vaccines for wild animals.

00:50:15 There are a whole bunch of them that get rabies.

00:50:17 And we put it in bait

00:50:19 and drop it from helicopters in the woods

00:50:21 and it drops down the incidence of rabies in people.

00:50:25 People hiking, get bitten and so forth,

00:50:27 it drops the incidence.

00:50:28 So we can do that.

00:50:29 I didn’t know that.

00:50:30 I always wondered how much medical care

00:50:32 are we doing for animals in the wild

00:50:34 because I’ve recently become more and more aware

00:50:37 that animals are living in extreme poverty, right?

00:50:42 Like you don’t know, you think like natural, it’s great.

00:50:45 Like when animals are living on a farm, it’s terrible.

00:50:51 But then you also have to compare to like

00:50:53 what life is like in the, or like the zoo.

00:50:56 You have to compare what life is like in the wild.

00:50:58 Well, the life in the wild is very tough, I think.

00:51:01 Most animals have to, well, the carnivores anyway,

00:51:03 they have to catch their food every day, right?

00:51:06 And then there’s the viruses there.

00:51:08 Yeah, viruses as well.

00:51:09 So the rabies immunization is the only one I’m aware of

00:51:14 for wild animals.

00:51:17 We do immunize lots of other animals.

00:51:20 So we immunize chickens and pigs and cows,

00:51:24 even fish, farmed fish.

00:51:26 We pick each fish up and give it an injection,

00:51:30 you know, when it’s a small fish.

00:51:32 But that’s mostly so that the farmers get a good yield.

00:51:36 We don’t really care about the animals, right?

00:51:38 We want a good yield for market.

00:51:41 And then there’s some examples where we immunize animals

00:51:46 to prevent spillovers into people.

00:51:50 So there’s a disease called Hendra in Australia,

00:51:53 which was discovered in the 90s.

00:51:57 And it turns out that there are bats, fruit bats,

00:51:59 that have this virus, and the bats are fine,

00:52:02 but sometimes they fly into horse stalls

00:52:05 and the horses get infected.

00:52:06 In Australia, it was initially racehorses,

00:52:09 which are very expensive, right?

00:52:11 The horses got infected and they died,

00:52:12 and the humans who would take care of them would die also.

00:52:15 So now they immunize the horses to prevent the,

00:52:19 well, to save the horses.

00:52:20 Probably that’s the motivation,

00:52:21 because these horses are hundreds of thousands of dollars,

00:52:23 right?

00:52:24 And then the people don’t get sick

00:52:25 because the horses don’t get sick.

00:52:27 You don’t want to immunize all the people

00:52:29 because it’s too rare.

00:52:30 But that approach is called the one world health approach,

00:52:33 which means everything’s connected on the planet.

00:52:37 And we have to think of everything in the grander scheme,

00:52:39 not just us.

00:52:40 Yeah, so you can immunize some things

00:52:42 along the trajectory that a virus would take.

00:52:45 Exactly.

00:52:45 Some living beings.

00:52:48 In the Arabian Peninsula,

00:52:49 they have a MERS coronavirus issue every month.

00:52:52 There are a couple of cases where a camel

00:52:55 will infect a human, and the human can get very sick.

00:52:59 It’s a respiratory disease, very much like COVID.

00:53:03 And so camels are very common there.

00:53:05 They’re raced, they’re used as pets, they’re eaten.

00:53:10 So there’s a lot of human camel contact.

00:53:12 But the number of cases are rare, two a month.

00:53:15 So you don’t want to immunize all the humans.

00:53:16 So the idea would be to immunize the camels.

00:53:20 So.

00:53:21 I like it.

00:53:22 So, okay, so you put rabies.

00:53:23 But Ebola also is a famously deadly one.

00:53:30 What is it?

00:53:30 It kills like, I don’t know, 50%, 60% of its.

00:53:33 It could be 50 to 90, but that’s in Africa,

00:53:37 where the healthcare isn’t great.

00:53:38 You saw when the cases of Ebola came to the U.S.,

00:53:42 we could take care of it.

00:53:43 We knew how to take care of it.

00:53:45 We had fancy hospitals and so forth,

00:53:46 and now we have a vaccine, so we can.

00:53:49 And the vaccine is really good,

00:53:52 but there are many governments in Africa

00:53:54 that are suspicious of us,

00:53:56 and they don’t want to use our vaccine, so they.

00:53:58 So there’s a vaccine for Ebola.

00:54:00 There is, yeah.

00:54:01 And the effectiveness and safety of it,

00:54:04 to how much is understood.

00:54:06 So this is difficult,

00:54:08 because there’s not a lot of Ebola, right?

00:54:11 It’s not a continuous, ongoing thing.

00:54:14 There are sporadic outbreaks here and there.

00:54:16 Of a few thousand people.

00:54:17 At most, at most, usually a few hundred.

00:54:19 And the biggest ever, in fact,

00:54:23 this is why we didn’t for years have an Ebola vaccine.

00:54:25 The U.S. military, together with Canada,

00:54:27 developed an Ebola vaccine for service people, right?

00:54:30 They wanted to say, well, we’re sending people

00:54:32 into these Ebola areas, we want a vaccine for them.

00:54:34 So they had developed it through all the preclinical,

00:54:38 which means before it goes into people.

00:54:40 And that stopped, because there was no money

00:54:43 to do a phase one and a phase two and a phase three.

00:54:46 In fact, for phase two and three,

00:54:47 you need to have infections going on,

00:54:49 because you’re looking at how well

00:54:50 the vaccine prevents infections, right?

00:54:52 So then there was a West African outbreak in 2015.

00:54:57 2013, 2015.

00:54:58 The most cases ever, 25,000.

00:55:00 So they got to test the vaccine.

00:55:03 But they only put it in a few thousand people.

00:55:07 It’s not like it’s been in hundreds of thousands of people

00:55:10 like the COVID vaccines has been.

00:55:12 So it looks like it has high efficacy.

00:55:16 But we’d like to have more data.

00:55:18 Side effects maybe are not so great.

00:55:21 There are a couple of different available vaccines.

00:55:23 Some have been tested more than others.

00:55:25 I would say this would probably not be widely accepted

00:55:29 in the US.

00:55:31 But then neither would be something over 50%

00:55:36 deadliness of a virus.

00:55:38 No, I think if you were, in fact, many physicians

00:55:41 work in countries that have Ebola,

00:55:43 so they get vaccinated, because they understand the choice.

00:55:45 Yeah, right, it’s always about the choice.

00:55:48 So.

00:55:49 So then one more thing.

00:55:50 To answer the interesting,

00:55:53 what are some of the viruses you really are fascinated by?

00:55:57 There are a number of viruses that have clearly been shown

00:56:01 to alter host behavior, and that’s how they spread.

00:56:04 I think those are fascinating.

00:56:05 For example, there are some viruses of plants

00:56:11 that are spread by aphids.

00:56:14 And the aphid bites the plant,

00:56:16 the virus reproduces in the plant,

00:56:18 and it somehow engineers the plant

00:56:21 to give off volatile organics to attract more aphids,

00:56:26 which will spread the virus.

00:56:30 Isn’t that amazing?

00:56:31 Yeah.

00:56:32 So that’s altering the behavior.

00:56:35 Altering because somehow the virus infecting the plant cells

00:56:38 gives off these organics and attracts aphids.

00:56:40 And furthermore, somehow when the aphid bites,

00:56:44 it tastes horrible.

00:56:46 So they immediately leave with the virus

00:56:48 they’ve just picked up and go to another plant to spread it.

00:56:51 So they’re attracted and then repulsed at the same time.

00:56:53 And obviously you don’t want to anthropomorphize this

00:56:55 like a strategy they’re taking on.

00:56:57 Somehow this worked out.

00:56:58 It worked out this way.

00:56:59 It just evolved.

00:57:00 And you know, evolution is sometimes hard to trace, right?

00:57:04 Like Darwin famously said,

00:57:06 he could never figure out how an eye evolved

00:57:08 from a single cell, right?

00:57:09 But it did.

00:57:11 The more complicated, complex the holistic organism is

00:57:16 that the virus invades,

00:57:18 the less able it is to control that organism, right?

00:57:21 So I wonder if there’s viruses

00:57:22 that can control human behavior,

00:57:26 you know, to induce more spread of the virus.

00:57:32 Well, I don’t see why not.

00:57:34 There’s not enough humans

00:57:35 that’s supposed to like evolve through.

00:57:37 Well, we can’t do the experiment to test it, right?

00:57:39 We have to observe.

00:57:40 And that’s always hard when you’re observing

00:57:41 because there’s so many things that can confound

00:57:45 what you’re looking at.

00:57:45 Yeah, change human behavior, yeah.

00:57:47 I mean, there’s so many things that impinge on our behavior,

00:57:50 but yeah, I think it’s possible.

00:57:54 I think it’s highly possible.

00:57:56 If it does it in a plant,

00:57:58 why not change some other organism’s behavior?

00:58:00 I think it’s fine.

00:58:01 Anyway, those fascinate me.

00:58:02 There are lots of examples of those that are fascinating

00:58:06 and how they work, people are trying to figure out.

00:58:08 But there’s not a lot of money to work on, you know,

00:58:10 insect and plant viruses unless you’re going to the USDA.

00:58:13 So they don’t get a lot of work moving forward.

00:58:17 Well, is there, if you understand some of those viruses,

00:58:19 is that transferable to human viruses, that understanding?

00:58:23 I think some of it could be, sure.

00:58:25 I think the general principles, for example,

00:58:28 how does the virus cause volatile organics to be made?

00:58:32 It must be turning on some genes

00:58:34 and you could learn principles from that,

00:58:37 how the virus might do that.

00:58:38 Sure, I think everything is broadly applicable.

00:58:41 So to say it’s not useful to study viruses of insects

00:58:46 and plants is just wrong because in science,

00:58:49 we probably know this, maybe in your field it’s the same.

00:58:52 If you’re curious, you’re going to run into interesting

00:58:55 things that you never planned on, right?

00:58:57 That’s why people like, you can criticize,

00:58:59 why do we want to go on Mars?

00:59:01 Why do we want to colonize Mars?

00:59:03 Well, it’s like, why do you want to go to the moon?

00:59:06 The reality is when you do really difficult things,

00:59:10 engineering things, like all these inventions

00:59:13 along the way are created.

00:59:14 It’s kind of fascinating.

00:59:16 Basically just pick a thing that everyone can agree

00:59:21 is kind of cool and is really hard and do that.

00:59:24 And then you’ll have like thousands of inventions

00:59:26 that have nothing to do with the thing.

00:59:28 That’s right.

00:59:29 I think you should let curious scientists

00:59:32 just follow what they’re interested in

00:59:34 to a certain extent.

00:59:35 You can’t, in science we say we have translational research

00:59:38 where we say, okay, here’s some money,

00:59:40 go cure cancer or diabetes or heart disease, whatever.

00:59:43 And that’s fine.

00:59:44 But that often doesn’t work out very well.

00:59:46 What works better is to say, you have a good lab,

00:59:49 you have a good track record,

00:59:50 here’s some money, here’s something.

00:59:52 And that’s where PCR, CRISPR, recombinant DNA,

00:59:56 all that stuff which has made the field explode,

00:59:59 that’s all it came from.

01:00:00 Not from people saying, I want to cure genetic diseases

01:00:04 by gene editing, but by saying,

01:00:05 what are these repeated things in this bacterium doing?

01:00:09 Yep.

01:00:11 Can I ask you a big philosophical question?

01:00:14 So there’s these deadly viruses

01:00:17 that are not very transmissible, Ebola, rabies.

01:00:21 And then there’s these less deadly viruses

01:00:23 that are very transmissible, like COVID,

01:00:29 I guess kind of borderline.

01:00:31 But why isn’t there super transmissible,

01:00:35 super deadly viruses?

01:00:38 I think if you compare SARS one and two,

01:00:40 you get somewhat of an answer, right?

01:00:42 SARS one was more deadly.

01:00:45 In fact, over half of the time when people were infected,

01:00:50 they ended up in the hospital because they were that sick.

01:00:53 And then the peak of virus shedding from them

01:00:57 happened long after they went in the hospital.

01:00:59 So it’s easy to contain the infection

01:01:02 when you’re in a hospital, right?

01:01:04 There was not much pre symptomatic

01:01:07 or asymptomatic shedding with SARS one.

01:01:11 And shedding means you become infectious.

01:01:14 So in a respiratory virus,

01:01:16 you inhale the droplets with the virus

01:01:18 and they reproduce in your upper respiratory tract,

01:01:20 what we call the nasopharynx, right?

01:01:22 The nose and going back to that little cavity

01:01:24 just above your mouth.

01:01:27 So the virus reproduces really well.

01:01:28 And then as you talk and sneeze and cough,

01:01:30 you expel droplets and then those are inhaled

01:01:32 by other people and then they reproduce.

01:01:35 And for SARS two, we now know there’s a lot of reproduction

01:01:39 just before you feel anything, if at all.

01:01:42 So there’s a lot of shedding and transmission

01:01:45 before you get symptomatic.

01:01:47 And as many people don’t ever get symptomatic, right?

01:01:50 So they spread really easily.

01:01:52 So that explains why some viruses can transmit

01:01:55 a lot better than others.

01:01:57 And if one happens to knock you out,

01:02:00 then you’re never gonna transmit

01:02:01 because you’re in the hospital like SARS one.

01:02:03 But why can’t you have both?

01:02:05 Why can’t you just wait a while before it knocks you out

01:02:08 but when it knocks you out, it really kills you?

01:02:10 That is a philosophical question, right?

01:02:13 Because we could talk about why we haven’t observed it.

01:02:16 I mean, one issue is that if you’re killed too quickly

01:02:23 by a highly lethal virus,

01:02:25 you’re not gonna transmit it very well, right?

01:02:27 So Ebola can kill you quite rapidly.

01:02:31 And most of the transmission occurs when people

01:02:35 are being cared for at home or in hospitals.

01:02:38 The doctors and nurses get the virus,

01:02:40 but people walking around, you’re not walking around

01:02:42 when you have Ebola, you’re too sick.

01:02:45 You know, you have black, bloody diarrhea,

01:02:47 you’re vomiting, you’re bleeding from your skin

01:02:51 and mucous membranes, you’re not walking around,

01:02:54 you’re not going to parties.

01:02:55 So I think that’s part of it,

01:02:57 that if the infection is too lethal,

01:03:00 you’re simply not a good transmitter.

01:03:02 And I think transmission is probably one

01:03:05 of the most powerful selection forces for viruses

01:03:09 because a virus always has to find a new host.

01:03:12 If it doesn’t, it’s a startup that fails, right?

01:03:16 If it doesn’t find a new host, it’s gone.

01:03:18 And so anything that makes the virus transmit better

01:03:22 is gonna help it.

01:03:23 And if killing you, being less lethal is part of that,

01:03:27 that works too.

01:03:28 So there’s a strong selection pressure

01:03:30 against being lethal.

01:03:32 I think there’s a strong selection pressure

01:03:34 against being lethal and being more transmissible.

01:03:38 Those two seem to work in opposite ways.

01:03:41 And now we don’t have a lot of data to support this.

01:03:43 This is kind of a thought experiment,

01:03:46 but there is one experiment done in Australia

01:03:50 many years ago.

01:03:51 I don’t know if you know this, but in the 1800s,

01:03:54 the hunters in Australia imported a rabbit from Europe

01:03:57 so they could hunt it because the native rabbit

01:04:00 in Australia was too fast for them.

01:04:02 They couldn’t shoot them.

01:04:03 So they brought in this European rabbit

01:04:05 and they reproduced out of control.

01:04:07 Within a couple of years, they were everywhere,

01:04:10 millions of rabbits in all the watering holes.

01:04:13 And now they had a problem.

01:04:14 So they decided to use a virus

01:04:16 to get rid of these excess rabbits.

01:04:19 And they used a virus, a pox virus called myxoma virus,

01:04:22 which is a natural virus of a different kind of rabbit.

01:04:26 But for these European rabbits, it was quite lethal

01:04:28 and it’s spread by mosquitoes.

01:04:30 So they said, okay, let’s release this virus.

01:04:33 And the first year, 99.2% of the rabbits were killed,

01:04:40 but that 0.8% that were left had some form of resistance.

01:04:45 They were variants.

01:04:46 Every organism, not just viruses, makes mutants.

01:04:49 And there were some variants of the rabbits

01:04:51 that could survive infection.

01:04:52 And then in subsequent years, the virus became less lethal.

01:04:56 And then the mosquitoes had a better shot

01:04:59 of transmitting it from one rabbit to another

01:05:01 if the rabbit lived longer.

01:05:02 That’s the selection probably.

01:05:04 And so in the end, the rabbits lived on.

01:05:06 The virus was there.

01:05:07 It evolved to be more transmissible and less lethal.

01:05:11 So that’s the only.

01:05:12 Life is amazing.

01:05:13 That’s the only data. Life on Earth is amazing.

01:05:15 It is, it is.

01:05:15 If you take the time to look at it and see what’s happened,

01:05:19 it is amazing.

01:05:20 It’s also humbling that it just makes you realize

01:05:22 humans are just a small part of the picture.

01:05:25 Of course.

01:05:26 And we’re wrecking it, aren’t we?

01:05:28 Well, I mean, we’re not really.

01:05:32 I mean, viruses are wrecking it some ways.

01:05:35 We’re not really wrecking anything.

01:05:36 It’s all part of it.

01:05:38 But you know, when the ways that humans exist

01:05:41 encourages viruses to infect us, right?

01:05:43 When we were hunter gatherers,

01:05:45 living in bands of 100 people, very few viruses

01:05:49 because it was hard for the virus to go

01:05:51 from one band to another.

01:05:53 And perhaps a hunter would, one of these humans

01:05:55 would get an animal and bring a virus into camp

01:05:58 and some people would die,

01:05:59 but it would never spread to another.

01:06:02 And then when we started to congregate in cities,

01:06:04 we figured out agriculture and so forth

01:06:06 and how to harvest animals,

01:06:07 then we could get bigger and bigger populations

01:06:09 and the viruses went crazy.

01:06:10 And they went from animals to us.

01:06:12 So measles went from cows to humans

01:06:15 when humans learned to domesticate cows

01:06:17 and started gathering in big cities.

01:06:20 Yeah, but now that humans are able to communicate

01:06:24 and travel globally,

01:06:26 the viruses become more and more dangerous, transmissible.

01:06:31 Thereby, if you look at earth as an organism,

01:06:33 thereby pushing humans to be more innovative,

01:06:36 create alpha fold two and three and four and five,

01:06:39 create better systems and eventually there’s rockets

01:06:41 that keep flying from earth.

01:06:43 And eventually the virus is becoming super dangerous

01:06:47 and threatening all of human civilization,

01:06:49 will force it to become a multi planetary species

01:06:52 and its organism starts expanding.

01:06:54 So I think it’s a feature, not a bug, I don’t know.

01:06:57 Well, I think that we have our early,

01:07:00 probably the most of the,

01:07:03 we’re studying viruses since 1900, right?

01:07:06 Most of that time was because of diseases they caused.

01:07:09 The first viruses discovered, yellow fever,

01:07:12 virus, smallpox, polio virus, influenza virus,

01:07:17 those were all because people got sick and they said,

01:07:21 oh, look, this is a virus that’s associated with it.

01:07:24 And so we got good at learning how to take care

01:07:28 of these infections, making vaccines and so forth

01:07:31 over the years and it’s only in the last 20 years

01:07:33 that we recognize that there are more viruses out there

01:07:36 that are far more interesting, perhaps,

01:07:38 but we’ve learned how to deal with the bad ones for sure.

01:07:41 So we talked about what is a virus.

01:07:43 We talked about some of the most dangerous

01:07:45 and deadly viruses.

01:07:47 Can we zoom in and talk about COVID 19 virus?

01:07:51 Sure.

01:07:52 I don’t know what your preferred name is, but maybe for this.

01:07:54 Right, the virus is SARS CoV2, which is hard, it’s long,

01:07:58 and then COVID 19 is the disease.

01:08:00 So you could say the virus of COVID 19, that’s fine.

01:08:03 The virus of COVID 19.

01:08:04 But for the purpose of this conversation,

01:08:06 we’ll every once in a while just say COVID.

01:08:08 It’s fine, no problem.

01:08:10 What is this virus from,

01:08:14 I don’t know how many ways we can talk about it.

01:08:16 I think from a basic structural,

01:08:19 like the variant structure,

01:08:22 biological structure perspective, what is it?

01:08:25 What are its variants?

01:08:28 Can you describe the basics,

01:08:30 the important characteristics of the virus?

01:08:32 So viruses are classified by humans

01:08:35 just to make it easier to keep track of them, right?

01:08:38 So this is a coronavirus, which is because

01:08:42 when they were first discovered,

01:08:45 I think the first ones were animal coronaviruses.

01:08:48 They looked at them in the electron microscope

01:08:50 and it looked like the solar corona,

01:08:51 and that’s all there is to it.

01:08:53 And I have to say that early in the outbreak,

01:08:56 the place with the highest seropositivity in the US,

01:09:00 for a while, 68% was a working class neighborhood

01:09:03 in New York City called corona.

01:09:06 Can you beat that, right?

01:09:08 That’s crazy, yeah.

01:09:09 So coronaviruses, they have membranes, right?

01:09:12 We talked about membranes,

01:09:13 they have spike proteins in the membrane,

01:09:15 so they can attach to cells.

01:09:16 And inside, they have RNA.

01:09:19 And they are the viruses with the longest RNA

01:09:22 that we know of.

01:09:23 None other comes close.

01:09:25 For some reason, they’re able to maintain 30,000,

01:09:29 so SARS, COVID, two RNAs, 30,000 bases of RNA,

01:09:33 and some of the other coronas are even longer, 40,000.

01:09:37 This is a, coronas are family of viruses

01:09:40 that included the one you mentioned before, version one.

01:09:46 So SARS, COVID one, yeah.

01:09:47 COVID one, and I guess other ones as well.

01:09:49 So the first, we first learned of them in animals,

01:09:52 a lot of animals, pigs, and cows,

01:09:56 and horses have coronaviruses.

01:09:58 And then in the 60s, we discovered

01:10:01 a couple of human coronaviruses that just cause colds,

01:10:05 very mild colds that you wouldn’t even think twice about.

01:10:08 And then suddenly, in 2003, there’s this outbreak

01:10:14 of severe respiratory disease in China.

01:10:18 And it started in November,

01:10:21 and they didn’t tell the world until February.

01:10:24 And that was really bad, because it was already spreading

01:10:27 by the time they told people about it.

01:10:30 But this went to 29 different countries.

01:10:34 Only 8,000 people were infected, and then it stopped.

01:10:37 And that was the first time we saw an epidemic coronavirus.

01:10:43 And what they did afterwards is they said,

01:10:45 okay, it looks like it came from the meat markets.

01:10:48 They have live meat markets in Guangzhou,

01:10:50 in the south of China, where you can go

01:10:53 and pick out an animal and the guy will slaughter it for you

01:10:56 and give it to you, and then of course,

01:10:57 there’s blood everywhere, and that’s how they got infected.

01:11:00 And they figured out that there’s this animal

01:11:02 called a palm civet, that was the source of virus.

01:11:05 The palm civets are shipped in from the countryside,

01:11:08 and the palm civets somehow in the countryside

01:11:10 got it from a bat.

01:11:11 So they went looking in caves in the countryside,

01:11:13 and they found in one cave all the viruses

01:11:16 that could make up SARS 1.

01:11:19 And that was 2000, and I would say,

01:11:21 took about five, eight years after that outbreak.

01:11:24 So that was the first hint that bats have coronaviruses

01:11:30 that can infect people and cause problems, right?

01:11:32 And after that, we should have been ready.

01:11:35 So didn’t they already start developing

01:11:37 vaccines after then? Yes.

01:11:38 So some people started making vaccines.

01:11:41 They tested them in mice, but they never got into people.

01:11:46 And some people started working on antiviral drugs.

01:11:50 Nothing ever came of them because, you know,

01:11:54 industry, there’s no disease, it’s gone.

01:11:57 Why should we make vaccines and drugs?

01:11:59 And NIH in the US, you submit a grant,

01:12:02 and they say, ah, it’s too risky.

01:12:03 There’s none of this virus around.

01:12:05 So people were really shortsighted because I always say,

01:12:08 we could have had antivirals for this, absolutely, for sure.

01:12:13 No question.

01:12:14 In fact, the one antiviral that’s in phase three,

01:12:17 it’s called molnupiravir.

01:12:20 It’s the only one that you can take orally.

01:12:22 It’s a pill.

01:12:23 It looks really good.

01:12:24 That was developed five years ago,

01:12:26 but never taken into humans.

01:12:27 It could have been ready.

01:12:29 So we dropped the ball, and then the next decade, 2012,

01:12:33 MERS coronavirus comes up in the Arabian Peninsula.

01:12:38 This comes from camels and infects people,

01:12:41 but probably the camels got it from bats originally

01:12:44 some time ago.

01:12:46 But that never transmits from person to person, very rarely.

01:12:50 Every new little outbreak is a new infection from a camel.

01:12:55 So that was 2012, and now here we are, 2019,

01:12:59 the new outbreak of respiratory disease in China.

01:13:02 And this one really goes all over the world

01:13:06 where SARS1 could not.

01:13:07 It’s a coronavirus.

01:13:09 It’s different enough from SARS1

01:13:11 that it has very different properties.

01:13:12 Causes a lot.

01:13:13 But it still has a membrane.

01:13:14 It still has a very long RNA in the middle,

01:13:17 and then it still has the spike proteins.

01:13:19 That’s right.

01:13:20 What are the things that are,

01:13:22 what are the little unique things

01:13:24 that make it that much more effective?

01:13:27 That make it cause a pandemic of millions of people

01:13:30 as opposed to SARS1?

01:13:32 Well, the genome is 20% different from SARS1, say.

01:13:38 And in those bases, there’s some,

01:13:40 there are things that make it different from SARS1.

01:13:42 It binds the same receptor, ACE2, on the cell surface.

01:13:45 So that’s remarkable.

01:13:48 It has a lot of the same proteins.

01:13:50 They look similar.

01:13:50 Like if you look at the structure of the spikes,

01:13:53 they look similar,

01:13:54 but there’s enough amino acid differences

01:13:57 to make the bio.

01:13:58 And what it is, we don’t know,

01:14:00 because how do you figure that out?

01:14:03 You need to study animals,

01:14:04 because you can’t infect people.

01:14:06 And the animal models aren’t great.

01:14:10 So the way you figure that out

01:14:11 is you figure out how those differences,

01:14:14 what functional,

01:14:16 like how the difference in the amino acids

01:14:18 lead to functional difference of the virus.

01:14:20 That’s right.

01:14:21 Like how it attaches, how it breaks the cell wall.

01:14:23 Exactly.

01:14:24 And how the hell do you figure that out?

01:14:25 Like, I guess there’s models of interaction.

01:14:29 First, you need an animal of some kind to infect, right?

01:14:33 You can use mice.

01:14:34 People have used ferrets, guinea pigs,

01:14:38 nonhuman primates,

01:14:40 all of the above.

01:14:41 Nonhuman primates are very expensive,

01:14:43 so not many people do that.

01:14:45 And then you can put the virus in the respiratory tract.

01:14:48 But in fact, none of them get sick like people do.

01:14:52 Many people with COVID get a mild disease,

01:14:55 but 20% get a very severe, longer lasting disease.

01:14:59 They can die from it, right?

01:15:00 No animal does that yet.

01:15:03 So we have no insight into what’s controlling that.

01:15:05 But if you just wanna look at the very first part

01:15:07 of infection and the shedding and the transmission,

01:15:10 you can do it in any one of several animal models.

01:15:14 Ferrets are really good for transmission.

01:15:16 They tend to have nasal structures like humans

01:15:19 and you can put them in cages next to each other

01:15:22 and they’ll transmit the virus really nicely.

01:15:24 So you can study that.

01:15:26 But the other thing that’s important that we should mention

01:15:29 is how do you manipulate these viruses?

01:15:34 So these are RNA viruses.

01:15:36 You can’t manipulate RNA.

01:15:38 We don’t know how to do it.

01:15:40 But DNA, because of the recombinant DNA revolution

01:15:45 that occurred in the 70s,

01:15:47 we can change DNA any way we want.

01:15:51 We can change a single base, we can cut out bases,

01:15:53 we can put other things in really easily.

01:15:56 And if I may give it a personal aspect,

01:16:01 when I went to MIT as a postdoc in 1979,

01:16:05 David Baltimore said, here’s what I want you to do.

01:16:09 The moratorium on recombinant DNA experiments

01:16:12 on viruses has just been lifted.

01:16:14 I want you to make a DNA copy of polio

01:16:18 and see if you put that in a cell

01:16:19 whether it will start an infection.

01:16:21 It’s okay.

01:16:24 So I made a DNA copy of polio virus.

01:16:27 It’s only 7,500 bases.

01:16:29 It’s much smaller than corona.

01:16:31 And I took that DNA and I put it in a piece of DNA

01:16:35 from a bacteria called a plasmid.

01:16:37 And you can grow plasmids in many, many bacteria,

01:16:41 make lots of them and purify the DNA really easily.

01:16:44 And I took that DNA and I sequenced it

01:16:48 because we didn’t know the genome sequence

01:16:50 of polio at the time.

01:16:52 And that took me a year by the way,

01:16:54 because the techniques we had were really archaic

01:16:57 and nowadays you could do it in 15 minutes, right?

01:17:00 It’s amazing.

01:17:01 And I took the DNA, I put it into cells and out came polio.

01:17:06 So that’s the start.

01:17:07 Now, since then everybody has taken that technique

01:17:10 and used it for their virus.

01:17:11 You can now do it with SARS CoV2.

01:17:13 You make a DNA copy of any RNA virus,

01:17:16 you can modify it and you put it back into cells

01:17:19 and you’ll get your modified virus out.

01:17:21 So that’s an important part of understanding

01:17:23 the properties of the virus as, say, in an animal.

01:17:26 By changing the virus, you’re changing a DNA copy,

01:17:28 you’re making the virus then and putting it into the animal.

01:17:32 Can you clarify, so even in the RNA virus,

01:17:35 you can take and turn it into DNA?

01:17:38 Yes.

01:17:38 And then that allows you to modify it.

01:17:41 Yes.

01:17:41 What’s that mapping?

01:17:44 Well, no, no, no, what’s the process

01:17:46 of going from RNA to DNA?

01:17:48 Reverse transcription.

01:17:49 That’s reverse transcription.

01:17:50 Right.

01:17:51 Oh, so you actually go through the process

01:17:53 of reverse transcription to do this?

01:17:54 Yes.

01:17:55 Remember, David Baltimore and Howard had discovered

01:17:58 this enzyme in the 70s.

01:18:00 They got the Nobel Prize for that.

01:18:01 And when I went to David’s lab at MIT,

01:18:04 he had the enzyme in the freezer.

01:18:06 He said, here, take this and make a DNA copy of polio.

01:18:08 Yeah, I didn’t make the connection

01:18:10 that you can use that kind of thing for an RNA virus.

01:18:14 And so that’s.

01:18:14 And then modify it.

01:18:15 See, any DNA virus already exists as DNA.

01:18:18 So you can modify it.

01:18:19 But for RNA viruses, it was difficult.

01:18:22 And so then from that point on, for influenza,

01:18:25 every other RNA virus and coronaviruses,

01:18:28 people made DNA copies.

01:18:29 And that’s what they use to modify

01:18:31 and ask questions about what things are doing, right?

01:18:34 What’s this gene doing?

01:18:35 What if we take it out?

01:18:36 What happened?

01:18:37 Can you do the same thing with COVID?

01:18:39 Is take the RNA and then.

01:18:41 Of course.

01:18:42 And in fact, in January 2020,

01:18:44 as soon as the genome sequence was released from China,

01:18:47 the labs all over were synthesizing this 30,000 base DNA

01:18:52 and getting virus.

01:18:54 What can you figure out without infecting anything?

01:18:58 Just turning into, with the reverse transcription,

01:19:01 turning into DNA, modifying stuff,

01:19:03 and then putting it into a cell.

01:19:05 What can you figure out from that?

01:19:08 Oh, well, you could, let’s say you can cut out a gene.

01:19:11 You see some genes in the sequence.

01:19:13 I don’t know what these genes do.

01:19:14 Let’s cut them out.

01:19:16 And then you could cut them out of the DNA.

01:19:18 You put the DNA in cells and maybe you get virus out.

01:19:22 And you go, oh, clearly that gene’s not needed

01:19:25 for the virus to reproduce, at least in cells, right?

01:19:27 Or maybe you take the gene out

01:19:29 and you never get any virus, so it’s lethal.

01:19:31 Is there a nice systematic ways of doing this?

01:19:33 Do people kind of automate it?

01:19:35 Absolutely.

01:19:36 And we, I mean, the problem with SARS, the COVID virus,

01:19:41 is it’s 30,000 bases, a lot of stuff there.

01:19:44 And what makes it more difficult is that you have to,

01:19:48 it’s been classified as a BSL3 agent, biosafety level three.

01:19:55 And so not everyone has a lab that’s capable of doing that.

01:19:58 So it limits the number of people who can do experiments.

01:20:02 You know, we’re lucky to have a few in New York City,

01:20:05 but not every place has them.

01:20:07 So you cannot work with a virus just out on the bench

01:20:11 like we do with many other viruses.

01:20:13 You have to wear a suit and have to have special procedures

01:20:15 and containment and so forth.

01:20:16 So it makes it difficult to do basic experiments

01:20:19 on the virus.

01:20:20 But when it’s a pandemic, there’s a lot of money,

01:20:22 there’s a lot of incentive to work on it harder.

01:20:25 And also you don’t need to work on the virus.

01:20:27 You can take bits of it and work.

01:20:29 You could take, say, just the spike, right?

01:20:31 And say, can we make a vaccine with just the spike?

01:20:33 Because that doesn’t require BSL3, so yes.

01:20:36 So like building a vaccine requires you to figure out

01:20:40 how, or antiviral drugs, how to attack various structural

01:20:44 parts of the virus and the functional parts of the virus.

01:20:47 Right.

01:20:47 You have to decide on a target.

01:20:50 Yeah.

01:20:50 Like, I’m gonna make an antiviral,

01:20:52 what am I gonna target in the virus?

01:20:55 And there are a few things that make more sense than others.

01:21:00 Usually we like to target enzymes.

01:21:03 I don’t know if you remember your biochemistry,

01:21:05 but enzymes are catalytic.

01:21:07 You don’t need a lot of them to do a lot of things.

01:21:10 So they’re typically in low concentrations

01:21:12 in a virus infected cell.

01:21:14 So it’s easier to inhibit them with a drug.

01:21:17 And the coronas have a couple of enzymes that we can target.

01:21:20 So you have to figure that out ahead of time

01:21:23 and decide what to go after.

01:21:25 And then you can look for drugs that inhibit

01:21:27 what you’re interested in.

01:21:28 It’s not that hard to do.

01:21:31 There’s just something beautiful about biology,

01:21:34 about the mechanisms of biology.

01:21:36 And I kind of regret falling in love

01:21:40 with computer science so much

01:21:41 that I left that biology textbook on the show

01:21:46 and left it behind.

01:21:47 But hopefully we’ll return to it now

01:21:49 because I think one of the things you learn

01:21:51 even in computer science that studying biology

01:21:56 and certainly neurobiology,

01:22:00 you get inspired.

01:22:02 Here’s a mechanism of incredible complexity

01:22:05 that works really well, is very robust,

01:22:07 is very effective, efficient.

01:22:09 It inspires you to come up with techniques

01:22:11 that you can engineer in the machine.

01:22:13 That’s what drives a field forward

01:22:15 when people improvise and come up with new technologies

01:22:21 that really make a difference.

01:22:22 And we have a bunch of those now.

01:22:25 What’s the difference between the coronavirus family

01:22:28 and the other popular family, influenza virus family?

01:22:33 I mean, if I were, because you mentioned

01:22:37 we should have done a lot more

01:22:38 in terms of vaccine development,

01:22:39 that kind of thing for coronaviruses.

01:22:42 But if I were back then, from my understanding,

01:22:46 the thing we should all be afraid of is influenza,

01:22:49 like some strong variants coming out from that family.

01:22:53 That seems like the one that will destroy human civilization

01:22:57 or hurt us really badly.

01:23:00 I don’t know if you agree with this sense,

01:23:02 but maybe you can also just clarify

01:23:06 what to use as the difference between the families.

01:23:09 So it’s an interesting difference.

01:23:11 They both have membranes, right?

01:23:14 So then they have spike proteins embedded in them.

01:23:19 And they’re different spikes.

01:23:20 In fact, for influenza, there are two main ones.

01:23:24 They’re called the HA and the NA.

01:23:27 But what’s inside is RNA,

01:23:30 but it’s very different RNA.

01:23:33 And here we have to explain that.

01:23:35 So viruses with RNA can have three different kinds of RNA.

01:23:42 They can have what we call plus RNA.

01:23:45 They can have minus RNA,

01:23:48 or they could have plus minus,

01:23:49 actually two strands hybridized together.

01:23:54 The plus RNA simply means that

01:23:58 if you put that plus RNA in a cell,

01:24:01 you know, your cell has ribosomes in it

01:24:03 that make the proteins that you need.

01:24:05 The ribosomes will immediately latch onto the plus RNA

01:24:08 and begin to make proteins.

01:24:11 A minus RNA is not the right strand to make proteins.

01:24:15 So it has to be copied first.

01:24:17 And then the plus minus is both together.

01:24:19 So the SARS coronaviruses,

01:24:22 all the coronaviruses have plus RNA.

01:24:25 So as soon as that RNA gets in the cell,

01:24:26 boom, it starts an infectious cycle.

01:24:28 Same thing with poliovirus, by the way, which I worked on.

01:24:31 Influenza viruses are negative stranded.

01:24:34 So they cannot be translated when they get in the cell.

01:24:37 So that’s tough for the virus

01:24:40 because the cell actually cannot make plus RNA

01:24:45 from minus RNA.

01:24:47 It doesn’t have the enzyme to do it.

01:24:49 So the virus has to carry it in inside the virus particle.

01:24:53 And then when the minus RNA is in the cell,

01:24:55 the virus enzyme makes plus RNAs and those get translated.

01:24:59 So it’s a big difference.

01:25:00 And then in the influenza viruses,

01:25:03 not only is it minus RNA, but it’s in pieces.

01:25:07 It’s in eight pieces.

01:25:09 We call that segmented,

01:25:10 whereas the corona is in one long piece of RNA.

01:25:14 So they’re like floating separately?

01:25:17 Yeah, so the genes are on separate pieces.

01:25:19 They’re all packaged inside that virus particle

01:25:21 of influenza virus, but they’re in pieces.

01:25:23 And why that’s important

01:25:25 is because if two different influenza viruses

01:25:29 infect the same cell,

01:25:31 the pieces as they reproduce can mix

01:25:33 and out can come a virus with a new assortment of pieces.

01:25:38 And that allows influenza virus

01:25:40 to undergo extremely high frequency evolution.

01:25:43 That’s why we get pandemics.

01:25:45 When we have a new flu pandemics

01:25:47 is because somewhere in some animal,

01:25:49 two viruses have reassorted

01:25:51 and made a new virus that we hadn’t seen before.

01:25:54 So you’re talking about kind of biological characteristics,

01:26:00 but what am I incorrect in my intuition

01:26:03 that are from the things I’ve heard

01:26:05 that the influenza family viruses is more dangerous?

01:26:09 Like what makes it more dangerous to humans?

01:26:14 Well, it depends on the,

01:26:16 there are many flavors or vintages of influenza virus.

01:26:19 Some are dangerous and some are not, right?

01:26:21 It depends on which one.

01:26:22 Some like the 1918 apparently was very lethal,

01:26:26 killed a lot of people.

01:26:28 But more contemporary viruses,

01:26:30 we had a pandemic in 2009 of influenza.

01:26:35 That wasn’t such a lethal virus.

01:26:39 We don’t know exactly why,

01:26:40 but it didn’t kill that many people.

01:26:42 It transmitted pretty well.

01:26:43 Is that the bird flu one?

01:26:45 They’re all deriving.

01:26:47 That one was called swine influenza.

01:26:49 Swine, that’s right, swine, yeah.

01:26:50 It seemed to have started in a pig,

01:26:52 but it had bird, it had RNAs from bird influenza viruses.

01:26:57 These viruses are all reassortants of different viruses

01:27:00 from pigs and birds and humans.

01:27:04 But influenza can cause pneumonia

01:27:07 and can kill you as does SARS COVID too.

01:27:09 So it depends on the virus.

01:27:11 So there is another influenza virus

01:27:13 that’s currently circulating.

01:27:14 So right now we have the 2009 pandemic virus

01:27:18 that’s still around.

01:27:20 And then the 1968 pandemic virus,

01:27:23 which was the one before 2009,

01:27:25 that one is still around too.

01:27:27 And that’s more lethal.

01:27:29 And depending on the season,

01:27:30 some seasons the 2009 virus predominates,

01:27:33 some seasons the 1968.

01:27:36 And when the 68 is around, you get more lethality.

01:27:38 So we’re living with an influenza family.

01:27:41 We haven’t exterminated them.

01:27:43 Right, we never will, never exterminate them.

01:27:46 Why?

01:27:47 Because every shorebird in the world is infected with them.

01:27:51 Gulls and terns and ducks and all sorts of things.

01:27:54 Why can’t we develop strong vaccines that defend against?

01:27:59 Oh, we could do that, sure.

01:28:02 But that would not eliminate them from humans.

01:28:04 Even if you had the best vaccine,

01:28:06 you would never get rid of it in people

01:28:08 because there would always be someone who’s not vaccinated

01:28:12 or in which the vaccine didn’t work.

01:28:14 No vaccine is 100%.

01:28:16 So.

01:28:17 Well, you just contradicted yourself.

01:28:18 You said the perfect vaccine.

01:28:21 So.

01:28:21 Imperfect, imperfect.

01:28:23 But then you said, like, even if you had the perfect,

01:28:26 yeah, some people wouldn’t get vaccinated.

01:28:28 But I understand what you mean.

01:28:30 But I actually was asking how difficult is it

01:28:32 to make vaccines like that for,

01:28:35 it seems like it’s very difficult to do that

01:28:36 for the influenza virus.

01:28:38 So it’s really easy to make an old school vaccine.

01:28:42 So the way the first influenza vaccines were made

01:28:47 was actually Jonas Salk worked on them in the 40s.

01:28:51 You just grow lots of virus

01:28:53 and you grow it in eggs, by the way, chicken eggs.

01:28:55 Nice.

01:28:56 Literally?

01:28:57 Wait, wait.

01:28:58 Yeah, chicken, embryonated.

01:28:59 So they get fertilized and there’s a 10 or 12 day embryo

01:29:02 in it and you put virus in it, it grows up

01:29:04 and then you harvest it.

01:29:05 You get about 10 mls of fluid.

01:29:08 And then you take that,

01:29:09 you treat it with formaldehyde or formalin

01:29:12 and it inactivates the virus so it’s no longer infectious.

01:29:16 And you just inject that into people.

01:29:18 And that was the first flu vaccine.

01:29:19 It was made for the US Army actually.

01:29:22 And then it got moved over to people.

01:29:24 We still use that old school tech today.

01:29:27 So you’re taking, can you help me out here?

01:29:30 Okay, so this is a good time to talk about vaccines.

01:29:34 Okay, so you’re talking about,

01:29:36 you’re taking the actual virus,

01:29:39 you put it in an egg, you let it grow up.

01:29:42 It’s very funny that you put it in an egg.

01:29:44 It’s very poetic.

01:29:46 And then how do you make it not infection,

01:29:52 not effective or whatever?

01:29:53 Not infectious.

01:29:54 Not infectious, is that the right term here?

01:29:56 Yeah.

01:29:57 So how do you make it not infectious?

01:29:58 You can treat it with any number of chemicals

01:30:02 that’ll disrupt the particle so it no longer infects.

01:30:05 So that step of disrupting the particle

01:30:09 is that very specific to a particular variant particle?

01:30:12 No, the same collection of chemicals

01:30:14 you can use for all kinds of,

01:30:16 and which have been used for SARS CoV2 vaccines also.

01:30:19 Same technology.

01:30:20 Okay, so what are, there’s several things to ask.

01:30:23 So you called it old school in a way

01:30:25 that’s slightly dismissive,

01:30:27 like people talk about Windows 98 or something.

01:30:29 So is there risks involved with it?

01:30:34 Or is it just difficult to produce large amounts?

01:30:37 No, it’s only, it’s,

01:30:38 it’s very easy.

01:30:40 I mean, you could do it in cells and culture,

01:30:41 but eggs were convenient.

01:30:43 And in the 1940s, we didn’t have cells and culture.

01:30:46 We didn’t know how to do that.

01:30:47 So we had to use something else.

01:30:49 It’s easy to do,

01:30:52 but the process of inactivating the virus with a chemical

01:30:56 makes it not the best vaccine you can make.

01:30:59 The flu vaccines that we have today,

01:31:02 which are mostly based on this inactivation,

01:31:05 is called inactivated virus vaccines.

01:31:08 Oh, so like the kind of thing

01:31:12 it presents to the immune system to train on

01:31:14 is not close to the actual virus.

01:31:19 Yes, that’s what we think.

01:31:20 So that’s why probably the flu vaccines

01:31:22 are just not very good, you know?

01:31:24 60% efficiency at the best, right?

01:31:29 Which is not really good.

01:31:30 What does it mean?

01:31:31 What is the measure of efficiency for a vaccine?

01:31:33 Well, it’s how it does in the general population

01:31:37 at preventing influenza.

01:31:38 At preventing?

01:31:40 Illness, not infection.

01:31:41 We usually don’t measure infection

01:31:44 when we’re testing a vaccine.

01:31:46 We just measure sickness.

01:31:47 That’s really easy to score, right?

01:31:50 You do a trial and you say,

01:31:52 if you feel sick, give us a call.

01:31:53 We’ll tell you what to do.

01:31:55 So yeah, I mean, what’s sickness?

01:31:58 Sickness is the presence of symptoms?

01:32:01 So this is good time to say what a symptom is, okay?

01:32:04 A symptom is what you only can feel.

01:32:08 Only you can feel an upset stomach

01:32:11 or a sore throat or that sort of thing.

01:32:13 It’s the lived experience of a symptom.

01:32:15 Whereas a sign is something that someone could measure

01:32:19 and tell that you’re infected,

01:32:20 like virus in your nasopharynx or something else, right?

01:32:26 Signs and symptoms.

01:32:27 And so in a vaccine trial, they tell you,

01:32:30 well, if you have any of these symptoms,

01:32:31 they give you a paper with the exact symptoms listed

01:32:35 to make sure you’re picking them up, right?

01:32:36 So for flu, it would probably be fever, sore throat, cough.

01:32:41 You call them and then they will do a PCR,

01:32:44 make sure you’ve got flu and not some other virus

01:32:46 that makes similar symptoms.

01:32:49 And then they would say, are you a vaccine or non vaccine arm

01:32:53 and count up all the infections

01:32:55 and see how the vaccine did, basically.

01:32:57 That’s so fascinating because the reporting,

01:33:02 so symptom is what you feel.

01:33:03 Yes, for sure.

01:33:04 And certainly the mind has a ability to conjure up feelings.

01:33:10 Oh yes, absolutely.

01:33:11 And so like culturally, maybe there was a time

01:33:16 in our culture where it was looked down upon

01:33:20 to feel sick or something like that,

01:33:23 like toughen up kind of thing.

01:33:25 And so then you probably have very few symptoms

01:33:28 being reported.

01:33:29 Absolutely, absolutely.

01:33:30 And now is like much more, I don’t know,

01:33:36 perhaps you’re much more likely to report symptoms.

01:33:37 Now it’s fascinating because then it changes.

01:33:40 Oh, it is definitely a perception because for,

01:33:43 your symptom may be nothing to me or vice versa, right?

01:33:46 And so when you’re doing this,

01:33:47 it’s a little bit of a imprecise science because,

01:33:52 and even it’s a cultural thing in some countries,

01:33:56 something that would make us feel horrible,

01:33:57 they wouldn’t even bother reporting.

01:33:59 No, I didn’t have any symptoms.

01:34:00 So it’s a little bit imprecise and it clouds the results.

01:34:03 So if you can measure things, it’s always better,

01:34:05 but you start out with a symptom.

01:34:07 And if you say, if someone tells you this virus,

01:34:11 20% of the people are asymptomatic,

01:34:15 they don’t report symptoms,

01:34:19 that number is probably not a constant.

01:34:21 It depends where you did the study.

01:34:24 It could be different in China versus South America,

01:34:26 Europe, et cetera, yeah.

01:34:28 I mean, I was trying to figure,

01:34:29 so I took two shots of the Pfizer vaccine

01:34:32 and I had zero symptoms.

01:34:34 Wow.

01:34:35 So, and I was wondering, well, see,

01:34:37 but that’s my feelings, right?

01:34:38 This is not, because I felt fine, I was waiting.

01:34:42 Did you have pain at the injection site?

01:34:46 No, it was kind of pleasant.

01:34:48 You felt nothing the next day, no?

01:34:50 Nothing, no tiredness, no exhaustion, no.

01:34:54 But see, like I have an insane sleeping schedule.

01:34:56 I already put myself through crazy stuff.

01:34:59 That said, maybe I was expecting something really bad.

01:35:03 Like I was waiting and therefore didn’t feel it.

01:35:06 But I also got allergy shots

01:35:11 and those, I was out all next day,

01:35:14 like exhausted for some reason.

01:35:16 So that gave me like a sense like, okay,

01:35:20 at least sometimes I can feel shitty.

01:35:22 That’s good to know.

01:35:24 Sure, sure.

01:35:25 And then with the vaccine it didn’t,

01:35:27 but the question is like,

01:35:29 how much does my mind come into play there?

01:35:32 The expectations of symptoms,

01:35:35 the expectations of not feeling well,

01:35:39 how does that affect the sort of the self reporting

01:35:41 of the symptoms?

01:35:42 I think it’s definitely a variable there,

01:35:44 but there’s certainly many people that don’t feel anything

01:35:47 after the vaccines.

01:35:48 And there’s some that have a whole range of things

01:35:51 like soreness and fever, et cetera, yeah.

01:35:54 So okay, you were talking about the old school development

01:35:57 inside the egg.

01:35:58 Right.

01:35:59 What’s better than that?

01:36:02 So then the next generation of vaccines

01:36:04 which arose in the 50s were what we call

01:36:07 replication competent, where the virus you take

01:36:11 and it’s actually reproducing in you.

01:36:13 Yeah, that sounds safe.

01:36:16 And it can be somewhat problematic, yes,

01:36:19 as you might imagine,

01:36:20 because once you put that virus in you,

01:36:22 you have no more control, right?

01:36:24 It’s not like you have a kill switch in it,

01:36:25 which actually would be a great idea to put in.

01:36:29 Like nanobots, what can possibly go wrong?

01:36:32 No, you could just put something in there.

01:36:34 If you added a drug, you would shut it off, right?

01:36:37 And people are thinking about that

01:36:39 because now we’re engineering viruses to treat cancers

01:36:43 and other diseases and we may wanna put kill switches

01:36:46 in them just to make sure they don’t run away.

01:36:48 Oh, interesting, so you can deploy a drug

01:36:50 that binds to this virus that would shut it off

01:36:54 in the body, something like that.

01:36:56 Something like that, yeah, that would be the idea.

01:36:58 You’d have to engineer it in.

01:36:59 Anyway, these were, the first one was yellow fever vaccine

01:37:03 that was made because that was a big problem.

01:37:06 And this virus, and the way you do this,

01:37:09 back in the old day was empirical.

01:37:12 So Max Tyler, who did the yellow fever vaccine,

01:37:15 he took the virus, which is a human virus, right?

01:37:19 And he infected, I think he used chick embryos.

01:37:24 And he went from one embryo to another and just kept passing

01:37:27 and he did that hundreds of times.

01:37:29 And every 10 passages, he would take the virus

01:37:32 and put it in a mouse or a monkey, whatever his model was.

01:37:36 And then eventually he got a virus

01:37:38 that didn’t cause any disease after 200 and some passages.

01:37:41 And then that was tested in people

01:37:43 and it became the yellow fever vaccine that we use today.

01:37:46 He selected for mutations that made the virus

01:37:50 not cause disease, but still make an immune response.

01:37:55 So those are called replication competent.

01:37:57 We now have the polio vaccine,

01:37:59 which was developed in the 50s after the yellow fever.

01:38:03 Then we had measles, mumps, rubella.

01:38:05 Those are all replication competent vaccines.

01:38:09 And you mentioned is that’s a good idea.

01:38:12 They are all safe vaccines.

01:38:15 The only one that has had an issue

01:38:18 is the polio replication competent vaccine.

01:38:21 It was called Sabin vaccine or oral polio virus vaccine

01:38:25 because you take it orally, it’s wonderful

01:38:29 because you don’t have to inject it.

01:38:31 This is the perfect delivery.

01:38:34 Either intranasal for a respiratory virus

01:38:37 or orally for polio goes into your intestines.

01:38:39 It reproduces and it gives you wonderful protection

01:38:42 against polio.

01:38:45 However, you do shed virus out

01:38:49 and that virus is no longer a vaccine.

01:38:52 It’s reverted genetically in your intestine.

01:38:55 So you can infect others with polio.

01:38:57 Take that virus and put it into an animal and give it polio.

01:39:00 And in fact, the parents of some kids in the 60s and 70s

01:39:05 who were immunized got polio from the vaccine.

01:39:08 The rate was about one and one and a half million

01:39:12 cases of polio.

01:39:13 So it’s called vaccine associated polio.

01:39:15 And I always argue that

01:39:18 we may not have picked the right vaccine.

01:39:21 There was a big fight in the US and other countries

01:39:25 between the inactivated polio

01:39:27 and the infectious polio vaccines,

01:39:29 which ones we should be using

01:39:31 because we found out that the infectious vaccine

01:39:33 actually caused polio.

01:39:35 And eight to 10 kids a year in the US alone

01:39:38 got polio from the vaccine,

01:39:39 which looking back is really not acceptable in my view,

01:39:43 although the public health community said it was

01:39:46 to get rid of polio.

01:39:47 So now we’re close to eradicating polio globally,

01:39:53 but this vaccine derived polio is a problem.

01:39:55 So now we have to go back to the inactivated vaccine,

01:39:59 which is tough because it’s injected.

01:40:01 So, okay, so the basic high level,

01:40:05 how vaccines work principle is

01:40:09 you want to deploy something in the body

01:40:11 that’s as close to the actual virus as possible,

01:40:13 but doesn’t do nearly as much harm.

01:40:15 And there’s like a million, not a million,

01:40:17 but there’s a bunch of ways you could possibly do that.

01:40:19 So those are two ways.

01:40:20 And now of course we have modern ways

01:40:22 we can make mRNA vaccines, right?

01:40:25 What are the modern ways?

01:40:26 I did, you wanna look, mRNA vaccine.

01:40:29 So that’s one of the, that’s the most modern,

01:40:31 but even before mRNA vaccines,

01:40:33 we learned that we could use viruses

01:40:36 to deliver proteins from a virus that you wanna prevent.

01:40:41 And so the Ebola vaccine,

01:40:43 we took the spike gene of Ebola virus

01:40:46 and put it in a different virus

01:40:47 and we deliver that to people

01:40:49 and that’s called a vector vaccine.

01:40:52 And some of the COVID vaccines are vectors

01:40:54 of different kinds of most famous are adenovirus vectors

01:40:57 carrying the spike gene into the cell.

01:41:00 Can you explain how the vector vaccine works again?

01:41:03 So we have, we take a virus that will infect humans

01:41:09 but will not make you sick.

01:41:11 In the case of adenovirus,

01:41:13 the years and years of people studying it

01:41:16 has told us what genes you could cut out

01:41:18 and allow the virus to infect the cell

01:41:20 but not cause any disease.

01:41:22 So instead of doing selection on it,

01:41:24 you actually genetically modify it.

01:41:27 Yes, you modify the vector, yeah.

01:41:29 So you’re much more precise about it.

01:41:30 You’re very precise

01:41:31 and then you splice in the gene for the spike

01:41:34 and then you use that to deliver the gene

01:41:37 and it becomes produced as protein

01:41:39 and then you make an immune response.

01:41:40 And vector is the term for this modified.

01:41:43 Right, so we’re now using viruses at our bidding.

01:41:47 We’re using them as vectors, not just for vaccines.

01:41:50 We can cure monogenic diseases.

01:41:52 That is if you have, if you’re born with a genetic disease,

01:41:55 you have a deletion or a mutation in a gene,

01:41:57 single gene, we can give you the regular gene back

01:42:01 using a virus vector.

01:42:03 So cancers too, we can cure cancers with vectors.

01:42:07 Wow, really?

01:42:09 Interesting. Yeah.

01:42:10 I think in 10 to 15 years,

01:42:12 most cancers will be treatable with viruses, yeah.

01:42:15 Wow.

01:42:16 And not only can we put things in the vector

01:42:19 to kill the tumor,

01:42:21 we can target the vector to the tumor specifically

01:42:25 in a number of ways.

01:42:26 And that makes it less toxic, right?

01:42:28 It doesn’t infect all your other cells.

01:42:31 But it takes time to develop a vector for a particular thing

01:42:34 because it requires a deep understanding.

01:42:37 Yeah, in fact, we have about a dozen different virus vectors

01:42:40 that have been studied for 20 years.

01:42:42 And those are the set of vaccine vectors that we’re using.

01:42:46 So it includes adenovirus, vesicular stomatitis virus,

01:42:50 which is a cousin of rabies, but doesn’t make people sick.

01:42:54 Influenza virus is being used as a vector

01:42:57 and even measles virus.

01:43:00 So we’re familiar with how to modify those to be vectors

01:43:04 and those are being used for COVID vaccines.

01:43:07 And then of course we have the newest,

01:43:10 which is the nucleic acid vaccines.

01:43:12 So years ago, people said,

01:43:15 why can’t we just inject DNA into people?

01:43:18 Take the spike and put it in a DNA and inject it.

01:43:22 So people tried many, many different vaccines.

01:43:25 And in fact, there are no human licensed vaccines

01:43:28 that are DNA vaccines.

01:43:29 Although there is a West Nile vaccine for horses

01:43:33 that’s a DNA based vaccine.

01:43:35 So if you have a horse, you can give it this vaccine,

01:43:38 but no human.

01:43:38 Can you clarify, does a DNA vaccine

01:43:42 only work for DNA viruses?

01:43:44 No, it can work for DNA or RNA.

01:43:46 Because remember, for an RNA virus,

01:43:48 we can make a DNA copy of it.

01:43:50 And it will still, when you put that DNA in a cell,

01:43:53 it goes into the nucleus.

01:43:55 Okay, right.

01:43:56 So it’s, you’re just skipping a step.

01:43:58 You get proteins.

01:43:59 For RNA vaccines, you’re giving, okay, I got it.

01:44:02 So those didn’t work for human vaccines.

01:44:04 And there were many HIV AIDS vaccine trials

01:44:07 that used DNA vaccines, didn’t work.

01:44:10 And then a number of years ago,

01:44:13 people started thinking, how about RNA, RNA vaccines?

01:44:17 And I first heard this, I thought, what?

01:44:20 I’ve worked with RNA my whole career.

01:44:22 It’s so fragile.

01:44:24 If you look at it the wrong way, it breaks.

01:44:27 I mean, that’s being facetious, right?

01:44:29 But you have to be very careful

01:44:31 because your hands are full of enzymes

01:44:34 that will degrade RNA.

01:44:37 So I thought, how could this possibly work,

01:44:38 injecting it into someone’s?

01:44:40 It’s an example of I was skeptical and I was wrong.

01:44:43 It turns out that if you modify the RNA properly

01:44:47 and protect it in a lipid capsule,

01:44:50 it actually works as a vaccine.

01:44:52 And people were working on this years

01:44:54 before COVID came around.

01:44:57 They were doing experimental mRNA vaccines

01:45:00 and there were a couple of companies

01:45:01 that were working on it.

01:45:02 And so at the beginning of 2020, they said, let’s try it.

01:45:07 And I was skeptical, frankly,

01:45:09 because I just thought RNA would be too labile,

01:45:12 but I was wrong.

01:45:13 So this is, as we’re saying offline, one of the great things

01:45:17 about you is you’re able to say when you’re wrong

01:45:20 about intuitions you’ve had in the past,

01:45:22 which is a beautiful thing for a scientist.

01:45:25 But I still think it’s very surprising

01:45:28 that something like that works, right?

01:45:30 Yeah, I am surprised.

01:45:31 So you’re just launching RNA in a protective membrane.

01:45:36 And then now one thing is surprising

01:45:39 that the RNA sort of lasts long enough in its structure.

01:45:45 But then the other thing is why does it work

01:45:50 that that’s a good training ground for the immune system?

01:45:56 Is that obvious that that should work?

01:45:59 I don’t think it’s obvious to most people

01:46:01 and it’s worth going into it

01:46:03 because it’s really interesting.

01:46:04 I mean, first of all, they wrap the RNA in fats,

01:46:09 in lipid membranes, right?

01:46:10 And the particular formulation they test for years

01:46:14 to make sure it’s stable,

01:46:16 it lasts a long time after it’s injected.

01:46:17 And the two companies that make the current COVID vaccines,

01:46:22 right, Moderna and Pfizer,

01:46:23 they have different lipid formulations to get to the same.

01:46:26 So that’s a real part of it.

01:46:29 And it’s not simple.

01:46:30 There are quite a few different lipids

01:46:31 that they put into this coding.

01:46:34 And they test to see how long they protect the RNA

01:46:37 after it’s injected, say, into a mouse,

01:46:39 how long does it last?

01:46:40 And the way it works is these,

01:46:43 apparently these lipid nanoparticles,

01:46:46 they get injected into your muscle,

01:46:48 they bump into cells and they get taken up.

01:46:52 So lipid fat is sticky.

01:46:56 It’s greasy, we like to say.

01:46:59 And so your cells are covered with a greasy membrane also.

01:47:03 So when these lipid nanoparticles bump into them,

01:47:06 they stick and they eventually get taken up.

01:47:08 And they figured this out right at the beginning.

01:47:11 If we put RNA in a lipid nanoparticle,

01:47:13 will it get taken up into a cell?

01:47:15 And the answer was yes, it was just let’s try it.

01:47:17 And it worked.

01:47:18 So it’s basically experiment.

01:47:20 It’s not like some deep understanding of biology.

01:47:22 It’s experimentally speaking, it just seems to work.

01:47:25 Yeah, well, they had some idea

01:47:26 that lipids would target this to a cell membrane.

01:47:30 And remember, there’s no receptor involved.

01:47:33 Like the virus has a specific protein

01:47:36 that attaches to a receptor.

01:47:39 It’s not efficient enough to just bump around

01:47:41 and get into a cell.

01:47:43 That’s what these things are doing.

01:47:44 And they probably optimize the lipids

01:47:47 to get more efficient uptake.

01:47:49 But it’s not as efficient as a virus would be

01:47:51 to get into a cell.

01:47:52 Right, so you have no specific,

01:47:54 I mean, which is why it’s surprising

01:47:57 that you can crack into the safe with a hammer.

01:48:02 Or with some fat.

01:48:06 I mean, that’s kind of surprising.

01:48:08 It’s kind of amazing that it works.

01:48:11 But so maybe let’s try to talk about this.

01:48:17 So one of the hesitancies around vaccines

01:48:22 or basically around any new technology

01:48:24 is the fact that mRNA is a new idea.

01:48:28 And it’s an idea that was shrouded in some skepticism,

01:48:32 as you said, by the scientific community.

01:48:35 Because it’s a cool new technology.

01:48:40 Surprising that it works.

01:48:42 What’s your intuition?

01:48:44 I think one nice way to approach this

01:48:46 is try to play devil’s advocate and say both sides.

01:48:53 One side is why your intuition says

01:48:56 that it’s safe for humans.

01:48:59 And what arguments can you see if you could steal man

01:49:03 and argument why it’s unsafe for humans.

01:49:06 Or not unsafe for humans,

01:49:09 but the hesitancy to take an mRNA vaccine is justified.

01:49:15 So many people are afraid because it’s new technology

01:49:19 and they feel it hasn’t been tested.

01:49:22 I mean, in theory, what could go wrong?

01:49:25 This is the nice thing about mRNA

01:49:29 is that it doesn’t last forever.

01:49:32 As opposed to DNA, which doesn’t last forever,

01:49:35 but it can last a lot longer.

01:49:38 And it could even go into your DNA, right?

01:49:41 So mRNA has a shorter lifetime,

01:49:44 maybe days after it’s injected into your arm,

01:49:47 then it’s gone.

01:49:48 So that’s a good thing

01:49:49 because it’s not gonna be around forever.

01:49:53 So that would say, okay, so it’s sticking around

01:49:56 for your lifetime is not happening.

01:49:58 But what else could happen?

01:50:00 Well, let’s see the protein that’s made,

01:50:03 could that be an issue?

01:50:05 And again, proteins don’t last forever.

01:50:08 They have a finite longevity in the body.

01:50:12 And this one also lasts perhaps at the best a few weeks.

01:50:17 Now this is a protein that’s made

01:50:18 after the RNA gets into the cell.

01:50:22 Yeah, so the lipid nanoparticles taken up into a cell

01:50:25 and the mRNA is translated and you get protein made.

01:50:27 And there’s also a question, I’m sorry to interrupt,

01:50:30 where in the body, so because it’s not well targeted,

01:50:35 or I don’t know if it’s supposed to be targeted,

01:50:38 but it can go throughout the body,

01:50:39 that’s one of the concerns.

01:50:40 Right, so it’s injected deep into your deltoid muscle,

01:50:43 right here, shoulder.

01:50:46 And the idea is not to put it in a blood vessel,

01:50:49 otherwise it would then for sure circulate everywhere.

01:50:52 So they go deep in a blood vessel and it’s locally injected.

01:50:57 And they did, before this even went into people,

01:51:00 they did experiments in mice

01:51:01 where they gave them a thousand times higher concentrations

01:51:05 than they would ever give to people.

01:51:06 And then when you do that, it can go everywhere basically.

01:51:09 You can find these nanoparticles

01:51:11 in every tissue of the mouse.

01:51:14 But that’s at a thousand fold higher concentration, right?

01:51:17 So I think at the levels that we’re using in people,

01:51:21 most of it’s staying in the muscle,

01:51:22 but sure, small amounts go elsewhere.

01:51:25 Could there be a lot of harm caused if it goes elsewhere?

01:51:30 Like let’s say ridiculously high quantities.

01:51:33 I’m trying to understand what is the damage

01:51:35 that could be done from an RNA just floating about.

01:51:39 So the RNA itself is not gonna be a problem,

01:51:41 it’s the protein that is encoded in it, right?

01:51:43 This is a viral RNA which has no sequence in us,

01:51:48 so there’s nothing that it could do.

01:51:50 It’s the protein that I would say you could ask,

01:51:54 what is that gonna do?

01:51:56 And the one property we know about the spike

01:52:01 is that it can cause fusion of cells, right?

01:52:06 That’s how the virus gets in in the beginning.

01:52:09 The spike attaches to the cell by this H2 receptor

01:52:14 and it causes the virus and the cell to fuse.

01:52:19 And that’s how the RNA gets out of the particle.

01:52:21 But so wait, I’m a bit confused.

01:52:24 So with this mRNA vaccine with the lipids and the RNA,

01:52:28 there’s no spike, right?

01:52:30 The mRNA codes for the spike.

01:52:33 Oh, the mRNA codes, so it creates the spike.

01:52:35 Creates a spike.

01:52:36 And so that spike could cause fusion of cells.

01:52:39 Yes, except they modified the spike so it wouldn’t.

01:52:44 Got it.

01:52:45 They made two amino acid changes in the spike

01:52:46 so it would not fuse.

01:52:47 So they understand enough which amino acids

01:52:49 are responsible for the fusion.

01:52:51 That’s right.

01:52:51 Interesting.

01:52:52 This is so cool.

01:52:53 So they could modify it.

01:52:54 So now it’s not gonna cause fusion, so that’s not an issue.

01:52:57 It’s called the prefusion stabilized spike.

01:53:00 Cool.

01:53:01 So the spike, when it binds ACE2,

01:53:04 that top falls off and the part of the spike

01:53:07 that causes fusion is now exposed.

01:53:09 And that doesn’t happen in this mRNA vaccine.

01:53:11 So those are the things that could have happened,

01:53:14 but I think they’re ruled out by what we’ve just said.

01:53:18 But there’s no better test

01:53:19 than putting it into people, right?

01:53:22 And doing phase one, phase two, and phase three,

01:53:25 and increasing numbers of people and asking,

01:53:27 what do we see?

01:53:28 Do we have any concerns?

01:53:30 And so now it’s been in many millions of people

01:53:35 and we don’t see most of the effects you see in a vaccine,

01:53:40 you see in the first couple of months.

01:53:43 Things like the myocarditis with some of the vaccines,

01:53:46 the clotting issues with the AstraZeneca vaccine,

01:53:49 Guillain Barre, you see those relatively quickly.

01:53:54 And we’ve seen small numbers of those occur,

01:53:58 but other things we haven’t seen,

01:54:01 and you never say never, right?

01:54:04 Right, so I mean, this is fascinating, right?

01:54:07 It’s like I drink, I put Splenda in my coffee

01:54:12 and it has supposedly no calories,

01:54:20 but it tastes really good.

01:54:22 And despite what like rumors and blogs and so on,

01:54:26 I have not seen good medical evidence

01:54:28 that is harmful to you, but it’s like, it tastes too good.

01:54:33 So I’m thinking like,

01:54:35 there’s gotta be longterm consequences,

01:54:37 but it’s very difficult to understand

01:54:40 what the longterm consequences are.

01:54:43 And there’s this kind of like distant fear

01:54:47 or anxiety about it.

01:54:49 Like this thing tastes too good, it’s too good to be true.

01:54:53 There’s gotta be, there’s no free lunch in this world.

01:54:55 This is the kind of feeling that people have

01:54:57 about the longterm effects of the vaccine,

01:55:01 that you mentioned that there’s some intuition

01:55:04 about near term effects that you want to remove,

01:55:09 like the diffusion of cells and all those kinds of things,

01:55:11 but they think, okay,

01:55:12 this travels to other cells in the body,

01:55:14 this travels to neurons or that kind of stuff.

01:55:18 And then what kind of effect does that have longterm

01:55:20 that’s yet to be discovered?

01:55:22 What do you make me for this vaccine,

01:55:25 but in general in science about making statements

01:55:28 about longterm negative effects?

01:55:32 Is that something that weighs heavy on you?

01:55:34 Is that something we can kind of escape

01:55:36 through just large scale experimentation

01:55:39 with animals and humans?

01:55:41 Well, if you’re really, if you’re concerned about longterm,

01:55:44 then you have to do a longterm experiment, right?

01:55:46 And maybe you don’t see something for 50, 60 years.

01:55:50 So if someone says to you,

01:55:53 there are no longterm effects of the COVID vaccines,

01:55:56 they can’t say that

01:55:57 because they haven’t done the long experiment, right?

01:56:00 There’s always the possibility, but you have to weigh it.

01:56:02 It’s always, there’s no free lunch, right?

01:56:06 There’s always a risk benefit calculation you have to make.

01:56:10 You can have the study, it goes 50 years and then decide,

01:56:14 but I guess what you’re doing is just like we said,

01:56:19 I forget which one, with polio, with rabies, I forget,

01:56:22 but you’re weighing the side effects.

01:56:25 Yeah, polio, right.

01:56:26 The vaccine versus the effects of the virus.

01:56:31 And like both of them, you don’t know longterm effects,

01:56:34 but you’re building up intuition as you study,

01:56:38 which what are the longterm effects?

01:56:41 Like there’s a huge number of people,

01:56:46 like that have like, I don’t want to say experts

01:56:51 because I don’t like the word,

01:56:52 but people have studied it long enough

01:56:54 to where they build up intuition.

01:56:56 They don’t know for sure.

01:56:57 There’s basic science being done, there’s basic studies.

01:57:00 But you start to build up an intuition of what might be

01:57:05 a problem down the line and what is not,

01:57:08 biologically speaking.

01:57:09 And so given that map, then considering the virus,

01:57:14 there seems to be a lot of evidence for COVID

01:57:16 having negative effects on all aspects of the body,

01:57:21 not just even respiratory, which is kind of interesting.

01:57:24 So the cognitive stuff is terrifying.

01:57:27 All kinds of systems evolve, yes.

01:57:28 And then you look at the same thing with the vaccine

01:57:32 and there seems to be less of that.

01:57:34 But of course you don’t know

01:57:36 if it’s some kind of dormant thing that’s just going to.

01:57:39 You won’t know.

01:57:40 You have to make a judgment.

01:57:42 And for a lot of people they can’t, right?

01:57:44 Because they don’t have the tools to make the judgment.

01:57:47 I totally understand that.

01:57:49 And we have let people down a few times in medicine, right?

01:57:54 And I know two very specific examples.

01:57:57 The first polio vaccine ever made,

01:58:00 the Salk vaccine was released in 1955.

01:58:04 Immediately within months,

01:58:06 a few hundred cases of paralysis in kids who got it

01:58:09 because it was not properly inactivated.

01:58:14 Now you have to understand,

01:58:15 parents were dying for a polio vaccine

01:58:17 because kids were getting paralyzed every summer,

01:58:20 30,000 kids a year.

01:58:22 And so they went and took it.

01:58:24 They took the word of the medical establishment

01:58:27 that it was safe and it wasn’t.

01:58:29 Big letdown, never going to forget something.

01:58:31 Although I think a lot of people today aren’t aware of that.

01:58:36 I think that was a big problem that’s everlasting.

01:58:38 Then the attenuated vaccine that we talked about,

01:58:42 the infectious causing polio.

01:58:45 Yet parents continued to bring their kids to be vaccinated

01:58:49 because they were said,

01:58:50 this is the right thing to do.

01:58:52 And I have to say,

01:58:53 I was involved in several lawsuits

01:58:55 where parents of a kid who got paralyzed

01:58:58 from the polio vaccine decided to sue the manufacturer

01:59:01 and get some money for their kid.

01:59:04 And so they got mad.

01:59:07 And I think you could not…

01:59:11 The first issue could have been prevented,

01:59:15 could have been prevented by inactivating it properly.

01:59:18 I think the company just did the wrong thing.

01:59:21 The second we had evidence for,

01:59:23 and we should probably have not used that vaccine any longer,

01:59:25 but I think that destroys public confidence.

01:59:28 But those aren’t…

01:59:29 They’re not long term.

01:59:30 That’s a minority of cases.

01:59:30 This is a minority.

01:59:31 This is a very rare event, yeah.

01:59:32 But nevertheless,

01:59:33 science as an institution didn’t make corrections

01:59:38 in that case.

01:59:39 No, they didn’t.

01:59:40 And so what do you make of that?

01:59:44 I mean, it’s very unfortunate

01:59:45 that those few things can destroy trust.

01:59:49 But I don’t think that lasts till today.

01:59:51 I think today is a different era, right?

01:59:53 And most people don’t know about those stories.

01:59:55 I tell them to you because that’s what could happen.

01:59:58 I think it could happen today.

02:00:01 If you look at the history of the polio vaccine,

02:00:06 the US Public Health Service wanted kids to be vaccinated.

02:00:10 So they did things that probably weren’t correct

02:00:13 to get the vaccine back online.

02:00:15 Right?

02:00:16 But they did it and they pushed it through.

02:00:20 So the question is, what do we do today?

02:00:23 So I can look at, as we just said,

02:00:27 I can look at what might happen

02:00:29 and I can make reasonable decisions

02:00:33 about the likelihood of them happening.

02:00:35 And I can also say, I don’t wanna get COVID of any kind

02:00:38 because I’ve seen how nasty it can be.

02:00:41 And I decide I’m taking the risk,

02:00:44 whatever small of a long term effect,

02:00:46 I’m gonna take the risk.

02:00:47 My family took the risk and many other people did.

02:00:49 Of a vaccine.

02:00:50 Of getting vaccinated.

02:00:52 Because I think it’s very small.

02:00:53 But I understand where people can’t make that decision.

02:00:56 And that begs the question,

02:00:58 what would they need to make a decision?

02:01:01 So if you’re concerned about an effect in 40 years,

02:01:06 we’re not gonna know for 40 years.

02:01:09 Yeah, so I think if I were to speak,

02:01:11 because I talked to, like I mentioned offline to Joe Rogan

02:01:14 and his podcast yesterday,

02:01:15 I talked to him all the time about this.

02:01:18 I think the concern is less about the long term effects

02:01:27 like on paper.

02:01:28 It’s more about the, like people like Anthony Fauci

02:01:34 and people at the top are simply misrepresenting the data

02:01:39 or like are not accurately being transparent.

02:01:42 Not collecting the data properly.

02:01:45 Not reporting on the data properly.

02:01:46 Not being transparent.

02:01:48 Not representing the uncertainties.

02:01:50 Not openly saying they were wrong two months ago.

02:01:55 Like in a way that’s not like dramatic,

02:01:58 but revealing the basic process of science

02:02:00 when you have to do your best under uncertainty.

02:02:03 Just also just being inauthentic.

02:02:06 There’s a sense, especially with like a younger generation

02:02:09 now, there’s a certain way on the internet.

02:02:11 Like the internet can smell bullshit

02:02:14 much better than previous generations could.

02:02:16 And so they see there’s a kind of inauthenticity

02:02:21 that comes with being like representing authority.

02:02:26 Like I am a scientist.

02:02:27 I’m an expert.

02:02:29 I have a PhD.

02:02:30 I have four decades of work.

02:02:31 Therefore everyone should listen to me.

02:02:34 And somehow that maps to this feeling of,

02:02:38 well, what are they hiding?

02:02:40 If they’re speaking from authority like this,

02:02:43 if everyone is in agreement like this,

02:02:45 that means they all have emails between each other.

02:02:48 They said, we’re gonna tell this.

02:02:49 This is the message we’re gonna tell the public.

02:02:51 Then what is the truth, the actual truth?

02:02:54 Maybe there’s a much bigger uncertainty.

02:02:57 Maybe there’s dead people in the basement

02:02:59 that they’re hiding from bad mRNA vaccine experiments.

02:03:03 Maybe they’re, and then the conspiracy theory

02:03:06 starts to grow naturally

02:03:09 when there’s this kind of mistrust of that.

02:03:11 So it’s less about kind of like a deep concern

02:03:17 about longterm effects.

02:03:18 It’s a concern about longterm effects

02:03:24 if we find out that there’s some secret stuff

02:03:27 that we’re not being told.

02:03:28 It all lands on that.

02:03:30 So what the heck, I mean, so I put the blame

02:03:32 not on the data, but basically on the leaders

02:03:35 and the communicators of the science at the top.

02:03:39 Well, to that I would say all the data,

02:03:43 as far as I know, are made public.

02:03:47 So you can dive into it.

02:03:48 And I know a lot of people ask me questions

02:03:51 and I just say, it’s right here in the data.

02:03:54 And I know a lot of people can’t do that.

02:03:55 They can’t dive into it.

02:03:57 But that’s one solution for people who are able.

02:04:00 Now you could argue, well,

02:04:01 maybe they’ve left data out.

02:04:03 Well, then not even I can help

02:04:05 because then they’re hiding it from me too.

02:04:07 And I think that’s highly unlikely.

02:04:08 I think for the most part,

02:04:09 the FDA requires the release

02:04:11 of all the clinical trial data, right?

02:04:14 So, okay, so this clinical trial data, that’s one thing.

02:04:17 So that’s the data that we should be focusing on, right?

02:04:20 So there’s a lot of different data sets here.

02:04:24 So there’s preclinical data,

02:04:25 which is everything that was done in the lab

02:04:28 before this vaccine ever went into a human arm.

02:04:30 It’s all the cell culture work

02:04:32 that we talked about a little, experiments in animals.

02:04:35 All of that is publicly accessible.

02:04:38 Most of it gets published.

02:04:39 And then there’s the initial drug filing,

02:04:42 which is huge, the books of,

02:04:45 you can get that and look at it, right?

02:04:46 This is me sort of asking sort of difficult questions here.

02:04:49 It’s okay.

02:04:51 So there’s a lot of money to be made by makers of the vaccine.

02:04:56 So for these companies, and obviously there’s a distrust

02:05:00 of those folks too.

02:05:02 They’ve done a lot of really good things in this world,

02:05:04 but the incentives are such

02:05:07 that you wanna sweep stuff under the rug

02:05:09 if you’re not 100% pure in your ethics.

02:05:15 And how hard is it for that data to be fabricated,

02:05:21 manipulated, like what’s your intuition

02:05:24 for the pre trial stuff?

02:05:26 I think when you start fabricating,

02:05:29 then you get inconsistencies,

02:05:31 which are pretty easy to pick up.

02:05:34 When you’re talking about some large scale things

02:05:36 of this nature.

02:05:38 Because then you can look through the data very,

02:05:40 you’re gonna, I mean, we require looking very carefully,

02:05:43 but you will see inconsistencies from one trial to another.

02:05:46 And that might ring a bell that something’s been done.

02:05:50 Yeah, it’s like the moon landing thing.

02:05:55 Sometimes like going to the moon is easier than faking it.

02:05:58 Right.

02:06:00 In the sense it might be easier to do a large scale trial

02:06:03 and get an effective vaccine versus faking it.

02:06:05 But when you brought up the for profit issue,

02:06:08 I think that is always been an issue.

02:06:11 I’ve always felt that having your health depend

02:06:15 on for profit industry may not be the best solution.

02:06:20 And I don’t know how else to do it.

02:06:23 People tell me I’m a dreamer that thinking that,

02:06:26 all medicines could be nonprofit.

02:06:28 But I also think that the world should have one health

02:06:30 system that takes care of everyone, right?

02:06:32 Because there’s some countries that can’t

02:06:34 and other countries have an excess like us.

02:06:37 So I wish we could do that.

02:06:40 Well, the argument is the speed of which the vaccines

02:06:44 for COVID were produced would never happen

02:06:47 in a nonprofit system,

02:06:49 would never happen in a non capitalist system.

02:06:51 Oh, I could set up a vaccine production institute

02:06:56 in the US that would get the vaccines done

02:06:58 because you just need to put money into it.

02:07:00 That’s what made these vaccines get done money.

02:07:03 They poured billions of dollars and they got it done quickly.

02:07:06 But if I set up a nonprofit institutes of vaccines

02:07:09 throughout the US staffed with really talented people,

02:07:12 pay them well, keep them motivated,

02:07:15 you’ll get your vaccine.

02:07:15 No, but that’s the thing with capitalism is that

02:07:19 the selection of who to hire a good,

02:07:22 when you say good people,

02:07:24 capitalism has a machine that fires people

02:07:28 who are not good and selects people that are good.

02:07:30 Coming from the Soviet Union,

02:07:32 the dream of communism is similar

02:07:35 to what you’re saying broadly defined.

02:07:37 It certainly doesn’t work in the broads.

02:07:40 The question of whether it works in the healthcare space,

02:07:45 there is some aspect to the machine of capitalism

02:07:49 being the most effective way to select for good people

02:07:53 and to effectively produce the thing.

02:07:56 But then of course, a lot of people would argue

02:07:58 the current, even the current healthcare is not

02:08:01 with like regulations, there’s some weird mix

02:08:03 where there’s a lot of opportunities for inefficiencies.

02:08:07 There’s a lot of opportunities for bureaucracy.

02:08:09 So you have like the worst of all worlds.

02:08:11 Can’t there be some intermediate that works

02:08:13 because I mean, the other issue that we haven’t mentioned

02:08:17 is that politics gets thrown into this

02:08:19 and that really messes up

02:08:21 and it should never be mixed with healthcare,

02:08:22 but it is because a lot of funding comes from the government

02:08:26 so that’s another confounding factor.

02:08:29 But I really think I could make a vaccine institute

02:08:33 that if someone didn’t do well, I’d fire them.

02:08:36 No, you’re not gonna stay if you can’t do your job

02:08:39 and do it well, you don’t give them incentives,

02:08:41 but it doesn’t have to be the two extremes I think.

02:08:44 There has to be a solution that people don’t have

02:08:47 this mistrust for a company making huge profits

02:08:51 off of a drug.

02:08:52 But you know what, it’s funny,

02:08:55 it seems that vaccines and antivirals bear the brunt

02:08:58 of this criticism yet there are many other pharmaceuticals

02:09:01 that people rely on of all sorts.

02:09:04 They don’t seem to question and have issues

02:09:06 with those and they have far more side effects than vaccines.

02:09:09 It’s a very strange how we’re picking that way,

02:09:11 but I should also say that if you have one big

02:09:17 vaccine institute, one of the other sets

02:09:22 of vaccine conspiracies, I mean, I would say they’re

02:09:28 a little farther out into the wild side of ideas,

02:09:32 but there’s one way to control the populace

02:09:37 is by injecting substances into them, right?

02:09:41 People, I mean, part of that, funny enough,

02:09:44 it probably has to do with needles

02:09:46 versus something you put in your mouth,

02:09:48 but there’s something about the government,

02:09:50 especially when it’s government mandated injection

02:09:53 of a substance into you.

02:09:54 I don’t care what the science says,

02:09:57 if it’s 100% effective, 100% safe,

02:10:00 there’s a natural distrust of what,

02:10:03 like even if this is effective and safe,

02:10:08 giving the government power to do this,

02:10:11 aren’t they gonna start getting ideas down the line for,

02:10:15 you know.

02:10:17 I think that they can barely govern.

02:10:20 I don’t think they’re gonna do that,

02:10:22 but you don’t have to take, unless you’re a federal employee,

02:10:25 you don’t have to take a COVID vaccine.

02:10:27 Yeah, but that largely has to do, not largely,

02:10:32 but there is an individualistic spirit

02:10:39 to the American people.

02:10:41 There’s this, like, you’re not gonna take my gun away

02:10:44 from me, you’re not going, and I think that,

02:10:52 that’s something that makes America what it is.

02:10:56 Just coming from the Soviet Union,

02:10:57 there’s a power to sort of resisting

02:10:59 the overreach of government.

02:11:01 That’s quite interesting, because I’m a believer,

02:11:04 I hope that it’s possible to have,

02:11:08 to strive towards a government that works extremely well.

02:11:11 I think at its best, a government represents the people

02:11:14 and functions in the similar way that you’re mentioning,

02:11:17 but that, like, pushback,

02:11:20 even if it turns into conspiracy theory sometimes,

02:11:22 I think is actually healthy in the long arc of history.

02:11:25 It can be frustrating sometimes,

02:11:28 but that mechanism of pushing back against power,

02:11:30 against authority, can be healthy.

02:11:32 I agree, I think it’s fine to question the vaccines.

02:11:36 What I have issue with is that many people

02:11:40 put out incorrect information,

02:11:43 and I’m not sure what their motivations are,

02:11:45 and it’s very hard to fight that,

02:11:47 because then it’s my word versus theirs,

02:11:50 and I’m happy to talk with people

02:11:52 about any of their concerns,

02:11:54 but if you start getting into the stuff

02:11:56 that just isn’t true, then we have a problem.

02:11:59 The thing I struggle with is conspiracy theories,

02:12:03 whatever language you want to use,

02:12:04 but sort of ideas that challenge

02:12:09 the mainstream quote unquote narrative,

02:12:13 given our current social media and internet,

02:12:16 like the way it operates,

02:12:17 they can become viral much easier.

02:12:20 There’s something much more compelling about them.

02:12:22 Like I have a secret about the way things really work.

02:12:27 That becomes viral, and that’s very frustrating,

02:12:30 because then you’re not having

02:12:31 a conversation on level ground.

02:12:36 When you’re trying to present scientific ideas,

02:12:38 and then there’s conspiracy theories,

02:12:39 the conspiracy theories become viral much faster,

02:12:42 and then you’re not just having a discussion

02:12:44 on level ground.

02:12:47 That’s the frustrating part,

02:12:49 that it’s not an even discussion.

02:12:51 Can I just say one more thing?

02:12:53 I mean, the internet is here to stay,

02:12:54 so we’re gonna have to figure out

02:12:56 how to deal with it, right?

02:12:57 But from my perspective,

02:12:59 I was skeptical that any COVID vaccine

02:13:03 would be ready within a year.

02:13:05 That’s amazing.

02:13:07 Plus, the way I look at the mRNA vaccine as a scientist,

02:13:12 it’s gee whiz to me.

02:13:13 It’s amazing that it worked,

02:13:15 and I think the data are great, so I want it.

02:13:19 As a scientist, I want it.

02:13:21 One of the really sad things, again,

02:13:23 with me, too, as a scientist or as an admirer of science,

02:13:29 I don’t know if it’s politics,

02:13:31 but one of the sad things to me about the previous year

02:13:34 is that I wasn’t free to celebrate

02:13:38 the incredible accomplishment of science with the vaccines.

02:13:42 I was very skeptical that it’s possible

02:13:44 to develop a vaccine so quickly.

02:13:47 So it’s unfortunate that we can’t celebrate

02:13:50 how amazing humans are to come up with this vaccine.

02:13:54 Now, this vaccine might have long term effects.

02:13:57 That doesn’t mean this is not incredible.

02:14:00 Why couldn’t you celebrate?

02:14:06 Because I would love to inspire the world

02:14:08 with the amazing things science can do.

02:14:11 And when you say something about the vaccines,

02:14:14 they’re not listening to the science.

02:14:15 A lot of people are not listening to the science.

02:14:17 What they hear is, oh, you’re a Republican

02:14:22 or you’re a Democrat, and you’re social signaling,

02:14:25 doing some kind of signaling.

02:14:26 No, I think that the vaccine,

02:14:27 you’re talking about injecting something into you,

02:14:30 and maybe you’re right that the rhetoric is like,

02:14:33 you better take this or you’re dumb.

02:14:37 It’s not the right approach.

02:14:38 I’ve seen, actually, it’s kind of interesting.

02:14:40 I’ve seen both sides kind of imply that.

02:14:42 So the people who are against the vaccine

02:14:48 are dumb for not trusting science,

02:14:52 and the people who are for the vaccine

02:14:55 are called dumb for trusting science,

02:14:59 the scientific institution.

02:15:00 And nobody wins, yeah.

02:15:01 And they both kind of have a point.

02:15:03 Like, because you can always,

02:15:07 it’s like, is the glass half full or half empty?

02:15:10 Because you can always look at, like, science

02:15:15 from a perspective of certain individuals

02:15:18 that don’t represent, perhaps, the not greatest leaders,

02:15:23 almost like political leaders.

02:15:25 There’s a lot of, you know,

02:15:27 yesterday I went on a whole rant against,

02:15:31 I said a lot of positive things about Anthony Fauci

02:15:34 before I went on a rant against him.

02:15:36 Because ultimately, you know,

02:15:40 I think he failed as a leader,

02:15:41 and I know it’s very difficult to be a leader,

02:15:44 but I still wanted to hold him accountable for that

02:15:47 as a great communicator of science and as a great leader.

02:15:50 What do you think he didn’t do right?

02:15:52 I’m curious.

02:15:55 So the core of the problem is the several characteristics

02:16:00 of the way he was communicating to the public.

02:16:06 So one is the general inauthenticity.

02:16:10 Two is a thing that, it’s very hard to put into words,

02:16:14 but there’s certain ways of speaking to people

02:16:18 that sounds like you’re hiding something from them.

02:16:21 That sounds like you’re full of shit.

02:16:23 That’s the authenticity piece.

02:16:25 Like, it sounds like you’re not really speaking

02:16:30 to the full truth of what you know

02:16:34 and that you did some shady shit in your past

02:16:38 that you’re trying to hide.

02:16:40 So that’s a way of communicating

02:16:42 that I think the internet and people in general

02:16:45 are becoming much better at detecting.

02:16:46 Yeah, it’s like you said, they’re good BS detectors.

02:16:48 Yeah, good BS detectors.

02:16:51 But contributing to that is speaking from authority,

02:16:55 speaking with authority and confidence

02:17:01 where neither is deserved.

02:17:04 So first of all, nobody’s an authority on this new virus.

02:17:10 We’re facing a deadly pandemic,

02:17:12 and especially in the early stages,

02:17:15 it was unclear how deadly it would be.

02:17:17 It was unclear, probably still unclear,

02:17:19 fully how it’s transmitted.

02:17:22 The full dynamics of the virus,

02:17:24 the full understanding of which solutions work and not,

02:17:28 how well masks of different kinds work,

02:17:31 how easy or difficult it is to create tests,

02:17:34 how many months or years it’s gonna take

02:17:36 to create a vaccine,

02:17:38 how well in history or currently do quarantine methods

02:17:43 or lockdown methods work,

02:17:45 what are the different data mechanisms

02:17:48 that are data collection mechanisms

02:17:50 that are being implemented,

02:17:52 what are the clear plans that need to happen,

02:17:55 what the epidemiology that’s happening,

02:17:58 what is the uncertainty around that?

02:18:02 Then there’s the geopolitical stuff with China.

02:18:09 I personally believe there should have been

02:18:11 much more openness about the origins of the virus,

02:18:15 whether they’re leaked from a lab or not.

02:18:17 I think communicating that you’re open to these ideas

02:18:21 is actually the way to get people to trust you,

02:18:25 that you are legitimately open to ideas

02:18:28 that are very unpleasant, that go against the mainstream.

02:18:32 Showing that openness is going to get people to trust you

02:18:35 when you finally decrease the variance in your uncertainty,

02:18:40 like decrease uncertainty and have,

02:18:42 we still have a lot of uncertainty,

02:18:44 but this is the best course of action.

02:18:46 Vaccines still have a lot of uncertainty around them.

02:18:49 mRNA is a new technology,

02:18:51 but we have increasing amounts of data,

02:18:53 and here’s the data sources,

02:18:54 and laying them out in a very clear way

02:18:58 of this is the best course of action that we have now.

02:19:01 We don’t know if it’s the perfect course of action,

02:19:04 but it’s by far the best course of action.

02:19:06 And that would come from a leader

02:19:09 that has earned the capital of trust from people.

02:19:13 I mean, I think in recent history,

02:19:15 the worst pandemic is 1918 flu, right?

02:19:19 But that’s mainly because we didn’t know what to do.

02:19:22 We didn’t have many tools at our disposal.

02:19:24 And that was tied up with World War I.

02:19:26 That’s right, that’s right.

02:19:27 So the leadership there, I mean.

02:19:30 But I don’t know what is a lot of deaths, right?

02:19:32 And any one person is someone’s family,

02:19:35 so to them it’s a lot, right?

02:19:37 But that logic, we don’t apply that logic generally,

02:19:41 because there’s a lot of people suffering

02:19:43 and dying throughout the world,

02:19:44 and we turn the other way all the time.

02:19:47 And that’s the story of history.

02:19:49 So saying you all of a sudden.

02:19:51 What bothers me though, I mean, personally,

02:19:53 I don’t like anyone dying anywhere,

02:19:56 but, and especially considering what technology

02:20:00 we’re able to muster, yet we still kill each other.

02:20:02 It’s just a dichotomy to me.

02:20:04 Yeah, but I mean, this is the, what is it, Paul Farmer?

02:20:08 There’s these great stories.

02:20:10 I mean, that’s the,

02:20:11 that’s the burden of being in healthcare,

02:20:17 being a doctor, is you have to help.

02:20:23 You can’t help but help a person in front of you

02:20:25 who’s hurting, but you also are burdened

02:20:28 by the knowledge that you helping them,

02:20:31 you spending money and effort and time on them,

02:20:34 means you’re not going to help others,

02:20:36 and you cannot possibly allocate

02:20:38 that amount of time to everybody.

02:20:40 So you’re choosing which person lives and which person dies.

02:20:44 And you’re doing so,

02:20:45 the reason you’re helping the person in front of you

02:20:47 is because they’re in front of you.

02:20:49 And so the reason right now we care a lot about COVID

02:20:53 is because the eye of the world has turned to COVID,

02:20:56 but we’re not seeing all the other atrocities

02:20:59 going on in the world.

02:21:00 They’re not necessarily related to deaths,

02:21:02 they’re related to suffering, human suffering,

02:21:05 which you could argue is worse than death,

02:21:07 prolonged suffering.

02:21:08 So there’s all of these questions.

02:21:11 And the fundamental question here is,

02:21:15 are we overreacting to COVID in our policies?

02:21:19 So this is the, when we turn our eye

02:21:23 and care about this particular thing and not other things,

02:21:26 are we dismissing the pain that business owners

02:21:29 who’ve lost their businesses are going to feel?

02:21:31 And then the long, talking about long COVID,

02:21:35 the long term effects, economic effects on the millions

02:21:39 of people that will suffer, that suffer financially,

02:21:42 but also suffer from their dreams

02:21:44 being completely collapsed.

02:21:46 So a lot of people seek gain meaning from work.

02:21:50 And if you take away that work,

02:21:52 there’s anger that can be born, there’s pain.

02:21:55 And so what does that lead to?

02:21:57 That can lead to the rising up of charismatic leaders

02:22:01 that channel that anger towards destructive things.

02:22:05 That’s been done throughout history.

02:22:06 So you have to balance that with the policies

02:22:10 that you have in COVID.

02:22:12 And then, I mean, very much my main opposition

02:22:16 to Fauci is not on the details, but the final result,

02:22:20 which is I just observe that there’s a significant decrease

02:22:25 in trust in science as a, not the institution,

02:22:30 but the very sort of mechanisms of science.

02:22:32 I think science is both beautiful and powerful.

02:22:35 And the reason why we have so many amazing things

02:22:38 and such a high quality of life.

02:22:40 And distrust in that, that the thing we need now

02:22:44 to get out of all the troubles we’re in,

02:22:46 continue getting out of the troubles we’re in is science,

02:22:49 the scientific process, broadly defined like innovation,

02:22:53 technological innovation, scientific innovation,

02:22:55 all of that, distrust in that is totally

02:23:00 the wrong thing we need.

02:23:02 And so anybody who gets in,

02:23:04 who causes a distrust in science to me,

02:23:12 carries the responsibility of that

02:23:14 and should be in, because the response,

02:23:16 I mean, should be fired, should be,

02:23:20 or at least openly have to carry the burden of that,

02:23:24 of having caused of that kind of level of mistrust.

02:23:27 Now, it’s maybe unfair to place it on any one individual,

02:23:30 but you have to, I think in your pocket said,

02:23:34 the buck stops at the top, like the leaders have to.

02:23:37 No, no, there’s a clear leader here, yes, absolutely.

02:23:40 So even if it’s not directly his fault,

02:23:44 he has to carry the price of that.

02:23:48 Do you think we should at this point say,

02:23:50 okay, we have vaccines,

02:23:53 you can decide whether you take them or not,

02:23:55 let’s move forward?

02:23:57 Maybe you can help me understand this,

02:23:59 because it seems like, why is that not the right solution?

02:24:04 Completely open society, the vaccines,

02:24:07 at least in the United States,

02:24:09 as I understand are widely available.

02:24:14 So this is the American way, you have the decision to make.

02:24:18 If you have conditions that make you worried to get COVID

02:24:23 and go to the hospital, then you should get vaccinated

02:24:26 because here’s the data that shows

02:24:27 that it’s much less likely for you to die

02:24:31 if you get vaccinated,

02:24:34 if you don’t want to get vaccinated

02:24:35 because you’re worried about longterm effects of vaccine

02:24:39 that you don’t have to,

02:24:40 but then you suffer the consequences of that,

02:24:43 and that’s it.

02:24:44 So here’s what I think is driving,

02:24:47 I think it’s all about kids,

02:24:50 because they’re gonna go back to school in the fall

02:24:51 and many of them can’t be vaccinated.

02:24:53 So if they get infected, they do have less frequency

02:24:59 of disease, but it’s not zero.

02:25:01 They do get sick and they can have longterm consequences.

02:25:04 And at that age, it would be a shame, right?

02:25:09 And not even their choice,

02:25:10 they can’t decide to get vaccinated or not

02:25:13 because they can’t have access to it.

02:25:15 So I think that’s what would drive my efforts

02:25:19 to try and get more people, at least in schools, vaccinated,

02:25:22 but I might be wrong, it may not be that.

02:25:24 So can you kind of dig into that a little bit?

02:25:26 So there’s,

02:25:30 so you’re saying that there should be an effort

02:25:33 for increased vaccinations of kids going to school,

02:25:37 just not for societal benefit,

02:25:39 but for the benefit of each individual kid, right?

02:25:42 So right now, kids under 12, right,

02:25:46 are not yet vaccinated, is that correct?

02:25:48 Yeah, I think so.

02:25:49 And it’s not gonna be in time for school opening

02:25:53 that they get vaccinated.

02:25:56 And then, I suppose the teachers

02:25:59 are all gonna be vaccinated,

02:26:01 makes sense for them to do that,

02:26:02 but I’m just worried the kids

02:26:04 are gonna be transmitting it amongst them

02:26:05 and many states don’t allow mask mandate in school.

02:26:08 So I think that’s what’s driving the larger narrative

02:26:14 in the US to protect kids.

02:26:16 It’s kind of what I hear from Daniel Griffin,

02:26:18 because increasing numbers of kids

02:26:21 are being admitted to hospitals now,

02:26:23 because they’re becoming the major unvaccinated population.

02:26:28 They’re hanging out over the summer

02:26:29 and that’s just gonna get worse in the fall.

02:26:32 And so you could have a lot of kids with long COVID

02:26:35 and disabled their entire lives, right, so.

02:26:38 And of course, hearing from people who are vaccine hesitant,

02:26:42 I hear exactly the kids statement,

02:26:44 but they’re saying they don’t want

02:26:47 the long term effects of the vaccine to affect the kids.

02:26:53 That’s of this new vaccine.

02:26:56 Which I would say is, as I said before,

02:26:58 you can’t say never,

02:27:00 but we do know that long COVID exists.

02:27:05 We don’t know for how long,

02:27:06 because we’ve only looked out six or eight months.

02:27:09 We know that exists and the frequency is increasing.

02:27:12 It certainly exists in young kids

02:27:14 and we have no idea about long vaccine effects.

02:27:16 So I think they have to make their decision based on that.

02:27:22 But yeah.

02:27:24 But your question is why don’t we just open up society,

02:27:28 say here we have these vaccines

02:27:29 if you wanna protect yourself.

02:27:30 I think it’s mainly the school

02:27:32 that’s driving the whole narrative, that’s my opinion.

02:27:35 In which direction, not to open up or?

02:27:37 No, to open up, but to try and get their efforts

02:27:41 at the federal level to get people vaccinated, right?

02:27:43 But see, how high are the risks for kids?

02:27:45 I mean, my understanding was it’s,

02:27:48 I mean, yes, it’s nonzero, but it’s very low.

02:27:52 But what is the numbers?

02:27:53 Now, 70,000 hospitalizations so far

02:27:57 in kids as of last week.

02:27:59 So yes, it’s low, but polio was low.

02:28:05 Polio was 20, 30,000 kids a year paralyzed.

02:28:08 And well, many people have actually argued

02:28:11 that that vaccine wasn’t necessary.

02:28:13 Now, that wasn’t a substantial enough health problem.

02:28:17 But paralyzed is different than hospital.

02:28:18 So what does hospitalized mean?

02:28:20 Long COVID.

02:28:21 But this is the long COVID question.

02:28:23 I mean, this is the open question.

02:28:24 It was long COVID in kids.

02:28:26 What is that?

02:28:27 Well, a lot of the same issues,

02:28:30 cognitive issues, motor issues,

02:28:34 respiratory, GI dysfunction.

02:28:37 How long?

02:28:39 We don’t know.

02:28:41 I mean, it could end in a year.

02:28:43 As you know, there are other post acute infectious sequelae

02:28:47 that we know about.

02:28:48 Chronic fatigue, ME, CFS is thought

02:28:51 to be a post infectious sequelae,

02:28:53 which has gone for many decades now

02:28:55 in many millions of people.

02:28:56 This could be another one of those.

02:28:58 So I’m just saying it might be worth erring

02:29:02 on the side of not letting the kids get infected.

02:29:05 Yeah, well, I’m trying to keep an open mind here

02:29:09 and I appreciate you doing the same.

02:29:12 Of course, I lean on definitely not requiring people

02:29:18 to get vaccinated,

02:29:19 but I do think getting vaccinated

02:29:21 is just the wiser choice,

02:29:24 looking at all the different trajectories before us.

02:29:28 Getting vaccinated seems like from the data,

02:29:33 it seems like the obvious choice, frankly.

02:29:35 But I’m also trying to keep an open mind

02:29:38 because some things in the past that seemed obvious

02:29:40 would turn out to be completely wrong.

02:29:42 So I’m trying to keep an open mind here.

02:29:44 So for example, one of the things,

02:29:48 I’d love to get your thoughts on this is antiviral ideas.

02:29:52 So ideas outside of the vaccine.

02:29:56 So ivermectin, something that Brett Weinstein

02:30:00 and a few others have been talking about.

02:30:02 There’s been a few studies.

02:30:03 Some of them have been shown not to be very good studies,

02:30:07 but nevertheless, there seems to be some promise.

02:30:11 And I wanted to talk to Brett

02:30:14 about this particular topic for two reasons.

02:30:17 One, I was really bothered by censorship of this.

02:30:19 That’s a whole nother topic.

02:30:22 I just, I’m bothered by censorship.

02:30:25 There’s a gray area, of course,

02:30:28 but it just feels like that should not have been censored

02:30:32 from YouTube, like discussions of ivermectin.

02:30:34 We can set that aside.

02:30:36 The other thing I was bothered by

02:30:39 the lack of open mindedness

02:30:42 on exploring things like ivermectin in the early days,

02:30:46 especially when at least I thought

02:30:49 the vaccine would take a long time.

02:30:51 I mean, it’s not just ivermectin.

02:30:53 It’s really seriously at a large scale,

02:30:57 rigorously exploring the effectiveness of masks.

02:31:01 And the big one for me is testing.

02:31:03 Like the fact that that wasn’t explored aggressively

02:31:07 to lead to mass manufacturing like May, 2020 is absurd.

02:31:11 Anyway, so I was bothered by these solutions

02:31:14 not being explored and not by now

02:31:16 having really good ivermectin studies.

02:31:19 Can I talk about ivermectin?

02:31:20 Yeah, I would love that, yeah.

02:31:21 Sure, so full disclosure,

02:31:23 my wife worked on ivermectin at Merck for 20 years.

02:31:26 Okay, so they just want people to know,

02:31:30 but I don’t talk to her all the time about it.

02:31:34 And anyway, she hasn’t been at Merck for a long time.

02:31:37 As you know, ivermectin is a very safe drug

02:31:39 used to treat certain parasitic infections, right?

02:31:43 And it is approved, it’s amazing.

02:31:47 You can take one dose a year

02:31:48 and be protected against river blindness in Africa

02:31:51 and certain parts of Africa.

02:31:52 It’s remarkably effective.

02:31:54 And so it’s quite a safe drug

02:31:57 at the doses that are approved.

02:32:01 Now, early last year, a study was done,

02:32:04 I believe in Australia, which showed in cells in the lab,

02:32:07 if you infect with SARS CoV2 and then put ivermectin in,

02:32:11 it would inhibit the virus production substantially.

02:32:13 It was quite clear, right?

02:32:16 But the concentrations they were using were rather high

02:32:19 and could not be achieved by the approved dosing.

02:32:24 So you would need to do a dosing study

02:32:27 to make sure it’s safe.

02:32:28 And the reason is that ivermectin binds to receptors

02:32:32 in your brain and it can have high doses.

02:32:34 So some people take high doses inappropriately

02:32:37 and they have neurological consequences.

02:32:39 So if you needed 10 times more ivermectin,

02:32:42 you’d have to make sure it would be safe in people.

02:32:44 So this is a question of safety too.

02:32:46 Right, so I think it has always been the case

02:32:51 that it should have been properly studied, but it wasn’t.

02:32:54 There were lots of trials here and there,

02:32:56 lots of improperly controlled trials

02:32:58 where someone would just treat some patients

02:33:00 and say, hey, they all did fine, but have no control arm.

02:33:03 And there were some controlled trials,

02:33:05 but they were very small.

02:33:06 So right now, a 4,000 person trial is enrolling

02:33:12 to test in a randomly controlled trial setting,

02:33:16 whether it works or not.

02:33:17 There’s still plenty of cases that you can do that.

02:33:20 So you can ask whether there are any side effects.

02:33:23 I think that’s completely fine.

02:33:25 And if it says it works, then we should use it.

02:33:28 In the meantime, I always tell people,

02:33:31 if you wanna use ivermectin, you can do it off label.

02:33:33 It’s FDA approved.

02:33:35 And if your physician says,

02:33:36 I’m gonna give you this off label,

02:33:38 I don’t have any objection,

02:33:41 but I don’t know if it’s gonna work.

02:33:43 Now, a friend of ours last week in New Jersey got COVID.

02:33:49 He went to his local hospital

02:33:50 and their regimen was remdesivir, dexamethasone, ivermectin.

02:33:56 It’s written, that’s what they do for every COVID patient.

02:33:59 They just give it to them automatically.

02:34:01 And so he recovered.

02:34:04 So who’s to say it was or was not ivermectin, right?

02:34:08 So I don’t have any strong ideological opposition.

02:34:12 I just think it should be tested

02:34:14 for what you wanna use it for.

02:34:16 And that’s being done, and I think that’s fine.

02:34:19 Is it strange to you that ivermectin

02:34:23 or other things like it

02:34:24 weren’t tested aggressively in the beginning?

02:34:27 From a broad scientific community aspect,

02:34:33 I can be a little bit conspiratorial,

02:34:35 and this is what people talk about with ivermectin,

02:34:39 is with the vaccines,

02:34:40 there’s quite a lot of money to be made.

02:34:42 With ivermectin, there’s not as much money to be made.

02:34:45 Is that too conspiratorial?

02:34:48 Like why didn’t we try more solutions in the beginning?

02:34:51 Well, all the money was put into vaccines, right?

02:34:55 Very little was put into antivirals,

02:34:57 because the decision was made at a very high level,

02:34:59 probably involving Dr. Fauci.

02:35:01 We’re gonna put 24 billion into vaccines, right?

02:35:06 And I think part of the reasoning is

02:35:08 they give you years worth of protection,

02:35:10 whereas an antiviral works

02:35:11 and you have to keep dosing and so forth.

02:35:13 But ivermectin is not trivial in this.

02:35:16 I agree, it should have been tested early on,

02:35:18 but we had a really bad experience with hydroxychloroquine,

02:35:21 which we can talk about too.

02:35:25 Ivermectin is very hard to synthesize.

02:35:28 Most drugs, you synthesize chemically.

02:35:31 You devise a formulation and a synthesis,

02:35:34 and they do it, they scale it up, and it’s fine.

02:35:36 Ivermectin is really hard.

02:35:38 And so what they do instead is they take the culture

02:35:41 of the bacterium that makes it,

02:35:43 and they grow it up, and they ferment it,

02:35:45 and then they purify it.

02:35:47 And Merck owns the bacteria.

02:35:51 A number of years ago, two employees of Merck stole it

02:35:55 and left the company and tried to market it,

02:35:58 and they were arrested and they got put in jail.

02:35:59 So they protect it very carefully.

02:36:02 So you can’t just make it.

02:36:05 If you do, it’s incredibly expensive.

02:36:07 And now India, it’s very cheap apparently.

02:36:10 They use it quite liberally there,

02:36:12 and I don’t know how they’re making it.

02:36:14 Maybe they’ve licensed it from Merck and so forth.

02:36:16 But that’s why it hasn’t been tested more widely, I think.

02:36:21 There’s complexities in terms of getting a lot of it

02:36:24 and manufacturing a lot of it.

02:36:25 Yes. Okay.

02:36:26 So what was the hydroxychloroquine?

02:36:28 So hydroxychloroquine was also shown early on

02:36:32 to inhibit virus in cell culture.

02:36:36 And that’s not surprising.

02:36:37 Hydroxychloroquine, of course, is used for malaria.

02:36:41 And what it does, when your cell takes up things

02:36:46 from the plasma membrane, including viruses,

02:36:49 it goes through a pathway called the endocytic pathway,

02:36:52 which involves a vesicle moving through the cell.

02:36:54 And as it moves through the cell, its pH drops.

02:36:57 And that lets a lot of viruses out actually.

02:37:00 And hydroxychloroquine blocks that.

02:37:01 So it blocks infection with a lot of viruses.

02:37:06 So the problem with those early studies that were published

02:37:10 is that they were done in kidney cells and culture,

02:37:14 where the only way the virus can get in

02:37:16 is through the endosome.

02:37:18 And hydroxychloroquine inhibits that,

02:37:20 and that’s why it inhibits in kidney cells and culture.

02:37:24 But lung cells and respiratory cells of humans

02:37:28 where the virus reproduces can get in two different ways.

02:37:31 It can get in from this endocytic pathway,

02:37:34 which is inhibited by hydroxychloroquine,

02:37:37 or it can get in at the cell surface,

02:37:40 which is not inhibited by hydroxychloroquine.

02:37:43 So when you treat patients, it has no effect in the lung

02:37:46 because the virus can just bypass it.

02:37:50 And all the usage initially were based on

02:37:54 the studies done in kidney cells and culture.

02:37:57 So that was just wrong, scientifically incorrect,

02:38:00 yet it drove a lot of, and today many people

02:38:02 still think they should be taking it, but.

02:38:04 So that not panning out kind of resulted

02:38:09 in a loss of optimism about other similar things panning out.

02:38:14 Well, that and many other repurposed drugs were tried,

02:38:17 and a lot of HIV antivirals were tried.

02:38:20 I think the problem with hydroxychloroquine

02:38:23 influenced the ivermectin narrative.

02:38:26 People thought that the data was being hidden

02:38:29 about hydroxychloroquine, so they said,

02:38:30 well, they must be doing the same thing with ivermectin,

02:38:33 but with hydroxychloroquine, it just scientifically

02:38:36 could not work as an antiviral.

02:38:39 The other problem that is more broad

02:38:42 that is important to point out is that

02:38:45 when you have COVID and you need an antiviral,

02:38:49 it’s usually because you can’t breathe

02:38:50 and you go in a hospital.

02:38:52 Because if you’re mildly ill,

02:38:53 you’re never gonna go to your doctor

02:38:55 and ask for an antiviral.

02:38:56 And the problem is when you can’t breathe,

02:38:58 it’s no longer a viral issue.

02:39:00 It is now an inflammatory issue,

02:39:02 and no antiviral in the world is gonna help you.

02:39:05 So that’s why remdesivir doesn’t work very well,

02:39:08 because it’s mainly given intravenously

02:39:10 to people who go in a hospital.

02:39:13 If you get ivermectin in the hospital,

02:39:16 it’s not gonna do anything for reducing virus,

02:39:18 because by that time, you have very little virus

02:39:20 to begin with.

02:39:21 You have an inflammatory problem

02:39:23 that you need to treat in other ways.

02:39:24 So this is why a lot of the antivirals failed,

02:39:28 because they’re used too late.

02:39:30 What you need is a pill you take

02:39:32 on that first positive test,

02:39:34 when you have a scratchy throat.

02:39:36 You get a PCR in 15 minutes, I’m positive,

02:39:39 take a pill, boom, that’s gonna inhibit it.

02:39:42 If you wait till you can’t breathe,

02:39:44 and that’s why the monoclonals even don’t work

02:39:47 if you’re in hospital that well,

02:39:49 because it’s too late.

02:39:50 And the approach now is if you’re in a high risk group,

02:39:54 if you’re over 65, if you are obese or have diabetes

02:39:58 or any other comorbidities,

02:40:00 your first sign of a scratchy throat positive,

02:40:03 you get monoclonals, then they might help you.

02:40:07 But if you wait till you go in a hospital, it’s too late,

02:40:09 because the viral curve drops.

02:40:12 After that first symptom, within three days,

02:40:15 you’re no longer shedding enough virus to transmit.

02:40:19 Drops really quickly.

02:40:20 So that’s the reason a lot of these antivirals failed,

02:40:23 because they were tested in hospitalized patients.

02:40:25 And we have nothing but remdesivir now, unfortunately.

02:40:29 So it was the wrong approach.

02:40:30 We should have been giving it to people

02:40:33 who just tested positive from the start.

02:40:35 Or just even for preventative and see.

02:40:38 You could do that too.

02:40:39 But I have to say, the other issue is,

02:40:42 this molnupiravir is a drug in phase three now,

02:40:45 it’s an oral antiviral, it looks good.

02:40:48 If we go ahead with just one,

02:40:51 we’re gonna get resistance within a few months,

02:40:53 and it will be useless.

02:40:54 We need to have at least two or three drugs

02:40:56 that we can give in combinations.

02:40:58 And we know that, because that’s what took care of HIV,

02:41:01 that’s what took care of HCV, hepatitis C virus.

02:41:05 It really reduces the emergence of resistance.

02:41:08 Joe Rogan got quite a bit of heat recently

02:41:11 about mentioning a paper and a broader idea,

02:41:16 which I don’t think is that controversial,

02:41:19 but maybe we can expand on it.

02:41:22 And the idea is that vaccines

02:41:26 create selective pressure for a virus to mutate

02:41:32 and for variants to form.

02:41:37 First of all, from a biological perspective,

02:41:40 can you explain this process?

02:41:42 And from a societal perspective,

02:41:45 what are we supposed to do about that?

02:41:47 So let’s get the terminology right.

02:41:49 So as we talked about earlier,

02:41:51 viruses are always mutating.

02:41:54 So no vaccine or no drug makes a virus mutate.

02:41:57 Right, that’s the wrong perspective

02:41:59 in which to look at it, got it.

02:42:01 What the immune response is putting pressure,

02:42:04 selection pressure on the virus.

02:42:07 And if there’s one particle with the right mutation

02:42:11 that can escape the antibody, that will emerge, right?

02:42:15 So that’s what happens with influenza virus, right?

02:42:17 We vaccinate every year,

02:42:20 and there are not a lot of people that get infected,

02:42:22 so they get natural immunity.

02:42:24 And then the virus is incredibly varied.

02:42:28 It mutates like crazy.

02:42:30 And in some person somewhere,

02:42:32 there’s one variant that escapes the antibody,

02:42:34 which has been induced either by infection or vaccination.

02:42:37 It can be both.

02:42:38 And that drives the emergence of the new variants,

02:42:41 so the next year we need to change the vaccine.

02:42:43 So I would say both natural infection and vaccination,

02:42:48 sure, select for variants.

02:42:51 Absolutely, there’s no question,

02:42:53 because they’re inducing immunity.

02:42:55 Now, what happened last year was at the beginning of 2020,

02:43:00 very few people in the world were immune

02:43:02 as the virus first started spreading.

02:43:05 But you can see in the sequences of those isolates

02:43:09 from the beginning of 2020,

02:43:11 you can see all of the changes that are now present

02:43:14 in the variants of concern at very, very low frequencies.

02:43:17 They were already there,

02:43:18 but there was no selection for them to emerge.

02:43:21 Until November, when we now had many millions of people

02:43:25 who had mostly been infected, but also some vaccinated,

02:43:29 then we saw the alpha variant emerge in England,

02:43:33 probably because of immune selection.

02:43:35 Now, the virus that had the change

02:43:38 that evaded the antibody had an advantage,

02:43:41 and that virus drove through the population.

02:43:44 So that’s what we’re seeing.

02:43:45 All these variants are simply antigenic selection.

02:43:47 So the variants, the mutations

02:43:50 that are at the core of these, quote unquote, variants,

02:43:55 they were always there all along the vaccine,

02:43:58 or the infections did not create them.

02:44:00 No, the infections don’t create them, they’re selected.

02:44:02 It’s like the vaccine wipe out a lot of the variants,

02:44:09 and then by making your body immune to them,

02:44:13 but some of them survive.

02:44:15 Yeah, exactly.

02:44:16 And then there’s another tree that’s built,

02:44:19 and it’s unclear what that tree leads to.

02:44:23 I mean, it could make things much worse or much better,

02:44:26 and we don’t know.

02:44:28 Well, with flu, we see year after year the virus changes,

02:44:31 we change the vaccine, we deal with it,

02:44:33 we change it again, there’s an unending series.

02:44:35 But see, that’s a very different story.

02:44:37 If, do you think COVID will be with some likelihood,

02:44:42 like the flu, where it’s basically variants,

02:44:47 we’ll never be able to eradicate it?

02:44:52 It will never eradicate it in any case, ever.

02:44:57 Well, come up with a vaccine

02:44:59 that makes you immune to enough variants

02:45:03 where there’s not enough evolutionary room.

02:45:07 Well, if you cut down the number of infections,

02:45:09 then you reduce the diversity, sure, right?

02:45:12 The problem is if, let’s say you’re a cynic

02:45:15 and you say, well, vaccination is just selecting

02:45:18 for variants, so let’s stop it.

02:45:20 But then you’re gonna have infection,

02:45:21 and that’s gonna select for variants.

02:45:23 And there, you’re more likely to get very sick

02:45:26 because we know the vaccines are really good

02:45:28 at preventing you from dying.

02:45:30 So that’s why it still makes sense to use vaccines

02:45:34 because they prevent you from dying.

02:45:36 That’s the bottom line.

02:45:38 But can we ever make a vaccine that deals with all variants?

02:45:44 Absolutely.

02:45:45 And the reason I say that is because people

02:45:49 who get naturally infected with SARS COVID,

02:45:53 they develop COVID, they recover.

02:45:56 If you give them one vaccine dose,

02:45:59 they make an immune response

02:46:01 that handles all the variants that are around right now.

02:46:05 All of them.

02:46:06 Much better than people who’ve gotten two doses of vaccine.

02:46:10 For some reason, their immune response is suddenly broadened

02:46:14 after the infection vaccination,

02:46:16 and they can handle all the variants that we know of so far.

02:46:19 So that tells me we can devise a strategy

02:46:22 to do the same thing with a vaccine

02:46:24 that makes a really broad vaccine

02:46:26 that’ll handle all the variants.

02:46:27 Well, you actually, on the virology blog,

02:46:30 I don’t know if you’re the author of that, but.

02:46:32 I am, I am, yes.

02:46:33 Oh, the blog, yes, but there’s a particular post

02:46:36 that’s talking about reporting on a paper

02:46:39 that a mix and match strategy.

02:46:40 Oh, yes, that’s one of my co writers, Trudy Ray, yeah.

02:46:44 Yeah, it’s an interesting idea

02:46:46 that there’s some early evidence now

02:46:49 that mixing and matching vaccines,

02:46:52 like one shot of Pfizer and one of like Moderna or something,

02:46:56 that creates a much better immunity

02:47:00 than does two shots of Pfizer.

02:47:02 I think that’s worth exploring, absolutely.

02:47:05 And this is relevant, what we’re doing with influenza,

02:47:09 you know, instead of having to vaccinate people every year,

02:47:11 why can’t we devise a vaccine

02:47:12 which you’d get once in your lifetime

02:47:14 or maybe once every 10 years, okay?

02:47:17 So the spike of influenza, it’s a long protein,

02:47:22 kind of like the spike of SARS CoV2,

02:47:24 it’s stuck in the virus membrane,

02:47:26 and the very tip, that’s the part that changes every year.

02:47:31 This is where the antibodies bind.

02:47:33 But the stem doesn’t change.

02:47:37 And if you make antibodies to the stem,

02:47:39 they can also prevent infection.

02:47:41 It’s just that when people are infected

02:47:44 or with the current vaccines,

02:47:45 they don’t make many antibodies to that stem part,

02:47:48 but we’re trying to figure out how to make those

02:47:51 and we think they would be broadly protective

02:47:53 and you’d never be able to,

02:47:55 or more rarely be able to have a variant emerge

02:47:59 that escaped it.

02:48:00 And I think we can do the same thing

02:48:02 with coronavirus too, for sure.

02:48:06 Can I ask you about testing?

02:48:08 Sure, sure.

02:48:10 You mentioned PCR, what kind of tests are there?

02:48:13 The antigen test, what are your thoughts on each?

02:48:18 Maybe this is a good place to also mention like viral load

02:48:22 and the history of the virus as it passes through your body

02:48:27 in terms of what’s being tested for

02:48:31 and all those kinds of things.

02:48:33 So the first tests that were developed were PCR,

02:48:39 polymerase chain reaction.

02:48:40 They’re basically nucleic acid amplification tests.

02:48:43 And they were very first ones.

02:48:44 They stuck the swab all the way up into your brain almost.

02:48:49 I had that done a couple of weeks ago.

02:48:50 Oh my gosh, it’s really nasty.

02:48:53 But now they do an anterior Nares swab.

02:48:56 They get a little, they get a bunch of cells

02:48:58 and some mucus which has virus and parts of virus,

02:49:02 stick it in a test tube and then they run a reaction

02:49:05 which by the way involves reverse transcriptase

02:49:09 because it converts the viral RNA to DNA

02:49:11 and then you amplify it.

02:49:14 And you can specify what part of the viral RNA

02:49:18 you wanna amplify and then a machine will detect it

02:49:22 and it can be done in 15 minutes.

02:49:25 But you’re detecting pieces of RNA, not infectious virus.

02:49:29 So we’re measuring viral RNA loads, right?

02:49:32 And a common mistake that many people

02:49:36 who should know better, physicians and scientists

02:49:38 of all kinds, they think that indicates

02:49:41 how much virus you have.

02:49:43 It doesn’t.

02:49:45 It’s a diagnostic of whether you have bits of RNA in you

02:49:48 and it probably means you’re infected.

02:49:51 But you can’t use it to shed light on what’s going on

02:49:55 and I’ll tell you why in a bit.

02:49:56 But first we have to explain some other things.

02:50:01 So until you get to about a million copies of RNA,

02:50:06 so you can measure the copy number in this test,

02:50:08 this PCR test.

02:50:10 It’s a number called CT or cycle threshold.

02:50:13 The test, the way the machine works, it goes through cycles

02:50:16 and every cycle it amplifies what you put in

02:50:19 and the more cycles you need to see something,

02:50:23 that means there’s not a lot of RNA there.

02:50:26 So if you do a test and you have a cycle threshold of 35,

02:50:31 you have very little RNA in you.

02:50:33 Contrary, if you have a cycle threshold of 10,

02:50:36 you have a ton of RNA and it only took 10 cycles

02:50:38 to detect it.

02:50:40 And you can extrapolate from that number,

02:50:42 the number of copies you have per sample, say per swab.

02:50:46 And if you don’t have a million, you’re not infectious.

02:50:49 You’re not gonna infect anyone.

02:50:50 So in the early days, no matter what CT,

02:50:53 what PCR result you had, they would quarantine you.

02:50:56 And that was wrong because you’re not shedding.

02:50:58 You don’t need to be quarantined,

02:51:00 but wasn’t thought through properly, right?

02:51:02 And that’s where you had like 14 days

02:51:04 or something like that.

02:51:05 14 days, which is now we know is too long

02:51:07 because you don’t shed for that long in a normal infection.

02:51:11 Now it’s 10 days should be fine.

02:51:14 So what happens is you get infected,

02:51:16 you don’t know it of course.

02:51:17 The virus starts to grow very quickly.

02:51:19 And within four or five days,

02:51:21 you reach a peak of shedding.

02:51:24 You’re making a lot of RNA and you may be asymptomatic.

02:51:28 You’re shedding, you can infect others.

02:51:30 And then you may or may not have your symptom onset.

02:51:33 So you shed for a couple of days before symptom onset.

02:51:36 And then within three days, four days,

02:51:38 the viral RNA crashes and you’re no longer shedding,

02:51:41 you’re no longer transmitting.

02:51:42 So that’s the one kind of test we have.

02:51:44 It can tell you if you’re infected at the moment,

02:51:47 but it won’t tell you

02:51:49 if you’re gonna be infected tomorrow, right?

02:51:51 Cause if you’re negative today,

02:51:52 you could be positive tomorrow.

02:51:54 You just might be in a different part

02:51:56 of the incubation period, right?

02:51:58 So that’s one test been used the most.

02:52:01 You can now get 15 minute versions of them

02:52:05 in a walk in or whatever fine.

02:52:06 Then there are antigen tests,

02:52:08 which look for the proteins that the virus is making.

02:52:11 So as it’s reproducing in your nose,

02:52:13 it’s not only making genomes, it’s making proteins.

02:52:16 And so these you can buy in the drug store.

02:52:18 And these would have been great if they had,

02:52:22 Michael Minna last year had the idea

02:52:24 that if we could make a little stick,

02:52:26 a little piece of paper that you would suck on

02:52:28 and it would tell you if you’re infected or not,

02:52:30 if this could cost less than a buck,

02:52:32 everybody could test themselves.

02:52:33 Which they can cost less than a buck, by the way.

02:52:37 Yeah, but they were never made, right?

02:52:38 Right, they’re never mass manufactured.

02:52:42 So his idea is to do like daily tests.

02:52:44 Yeah, daily and then the kid’s going to school,

02:52:47 he’s positive or she’s positive.

02:52:49 Well, if it’s cheap enough, you just take another test

02:52:51 because they have a certain error frequency.

02:52:53 If it’s positive twice, you stay home

02:52:55 and the next day you try again.

02:52:57 And I think this would have revolutionized

02:52:59 because the PCR tests are more expensive at the time

02:53:02 and they take longer to do and so forth.

02:53:05 But that never happened.

02:53:07 But now we do have $20 Binax now

02:53:09 and others that you can buy and people buy them.

02:53:12 But that can still happen, right?

02:53:13 And this is the very frustrating thing to me

02:53:16 because I’m worried about variants,

02:53:18 but I’m also worried about future,

02:53:20 much more deadly pandemics.

02:53:23 Like I know we kind of said, yes, COVID, lots of deaths,

02:53:28 but like it could be a lot worse too.

02:53:31 And so I’m thinking what is going to be the right response

02:53:35 for the future pandemic of its kind?

02:53:38 And what’s the right response

02:53:39 for continued number of variants

02:53:41 and some of the variants might be deadlier

02:53:44 or more transmissible?

02:53:45 Well, we can, the antigen tests

02:53:49 will pick up the variants.

02:53:51 That’s not a question.

02:53:52 The PCR may be influenced by changes,

02:53:55 but you can quickly adapt the primers that you use.

02:53:58 So that’s what I mean.

02:53:59 Like to me, all of these discussions

02:54:00 about vaccines and so on.

02:54:03 Vaccines, we got very lucky that they took so little time.

02:54:08 And you have to be aware no matter what

02:54:10 that there’s hesitancy with the vaccines

02:54:12 in this country before.

02:54:13 I mean, yeah, that’s a reality.

02:54:15 You can’t just be like magically saying

02:54:17 that you’re going to overcome that.

02:54:20 And I don’t think there’s any hesitancy

02:54:22 and cheap tests at home.

02:54:24 I agree.

02:54:24 I think if someone, so the question is

02:54:27 if someone tested positive, would they stay home?

02:54:29 That’s the question.

02:54:30 What if their job depends on them going in?

02:54:32 I mean, that’s.

02:54:33 Well, you have to look at sort of aggregate,

02:54:36 how many people would decide.

02:54:38 And I think, again, a lot of that is in leadership,

02:54:43 but I think a lot of them,

02:54:45 I would say most people would stay home.

02:54:47 I think that Mina had the idea

02:54:49 and it would have changed the whole situation for sure.

02:54:53 If it could have been made when we talked to him last spring,

02:54:56 I think, or summer, we would have gotten around

02:54:59 a lot of the issues that we’re in today

02:55:01 because I think people would have stayed home

02:55:03 and not transmitted.

02:55:04 And I think it’s still valuable to this day.

02:55:06 In the fall, if we don’t have vaccine uptake,

02:55:09 we could just test kids every day

02:55:12 and keep them home when they’re infected.

02:55:14 It cuts, and we don’t have it.

02:55:17 But I think, and I’m not privy to what was going on,

02:55:20 but I don’t think a lot of emphasis

02:55:22 was put on testing early on.

02:55:25 The CDC developed the first one, it was flawed.

02:55:27 They had to recall the kits.

02:55:29 I mean, that’s a fiasco.

02:55:30 They should have had 100 companies

02:55:32 making the tests initially, right?

02:55:34 So for the future, I think what we have learned

02:55:37 is we need to have a rapid antigen test right off the bat.

02:55:42 It’s doable.

02:55:43 You can’t do it in a day like you can for PCR

02:55:46 because you need to make antibodies

02:55:49 to the protein that you’re looking for

02:55:51 and you need to do those in animals.

02:55:52 But you can do it in weeks and we should be ready for that.

02:55:57 Yeah, because I mean, to me, that’s obvious.

02:56:00 That’s obviously the best solution.

02:56:02 Second to that, if we understood how well masks work.

02:56:08 Like, maybe let me ask you this question.

02:56:11 Let’s put masks aside.

02:56:14 How well do we understand how COVID is transmitted?

02:56:18 There’s droplets of different sizes,

02:56:22 aerosols, tiny, tiny droplets.

02:56:26 It seems like that’s a very difficult thing

02:56:28 to understand thoroughly.

02:56:29 So it seems like it’s transmitted both ways.

02:56:33 It’s unclear how exactly.

02:56:35 So how much do we understand

02:56:38 and why is it so difficult to understand fully?

02:56:40 Well, I think it’s clear that it’s transmitted

02:56:43 through the air mostly.

02:56:44 It’s not touching.

02:56:46 We thought initially it would be a lot of touch,

02:56:47 but very little of that.

02:56:50 It’s through the air and when you talk,

02:56:53 mainly when you talk, you expel a lot of droplets, right?

02:56:56 Even the plosives that your foam thing here

02:56:59 are meant to pee, right?

02:57:01 That you send out little sprays

02:57:03 and those have viruses in them.

02:57:05 And the big drops fall to the ground

02:57:08 and the little ones can go 100 feet or more, right?

02:57:11 But the little ones also have less virus in them.

02:57:15 So I’m not sure, well, we certainly do not know

02:57:18 how much virus you need to be infected.

02:57:21 But it’s probably at least several thousand particles,

02:57:24 if not more.

02:57:26 And it could be that for most people,

02:57:30 the tiny droplets don’t have enough virus

02:57:32 to infect someone else.

02:57:34 But there’s one observation about this virus

02:57:37 that’s really interesting.

02:57:38 And that is that 80% of transmissions

02:57:42 are done by 20% of the people, of the infected people.

02:57:46 Not every infected person transmits.

02:57:49 That’s been borne out in multiple studies.

02:57:51 And in fact, there’s a study at University of Colorado

02:57:55 where they quantified the viral RNA loads

02:57:58 in all the swabs that had been done of students

02:58:01 for like a six month period.

02:58:03 And most of the infectious virus,

02:58:07 most of the RNA copies were found

02:58:10 in 15 to 20% of the people.

02:58:14 The rest had really low

02:58:15 and that’s probably why they don’t transmit.

02:58:18 So those are the ones that might get enough virus

02:58:22 in the tiny droplets to be able to infect

02:58:24 someone at a distance.

02:58:26 And I think that’s entirely possible.

02:58:28 Why is it hard to study?

02:58:31 You can’t do it in real life

02:58:32 because you don’t know who’s infected.

02:58:35 And if you do, there’s not a controlled environment

02:58:37 to measure droplets and so forth.

02:58:39 You’d have to do it in a laboratory situation.

02:58:42 If you use an animal, you just don’t know

02:58:44 what the relevance of that is to people.

02:58:46 You’d have to use human and do challenge experiments.

02:58:50 And we don’t do that at this point,

02:58:51 at least not for this virus.

02:58:53 So that’s why it’s hard to know what’s going on.

02:58:55 So we have to make inferences

02:58:58 from epidemiological associations

02:59:01 where you’re studying, say transmission in a household

02:59:03 where people are stuck in the same rooms together

02:59:06 and you can get an idea of what kind of droplets

02:59:09 were involved.

02:59:10 So that makes it much harder too.

02:59:11 If you’re leaning on epidemiological stuff

02:59:14 as opposed to like biophysics

02:59:15 or something like the mechanic.

02:59:17 Very hard.

02:59:18 So that makes it really hard to then develop solutions

02:59:23 like masks, to ask the question, how well do masks work?

02:59:26 Because then to answer that question,

02:59:28 you can lean on epidemiological stuff again,

02:59:32 like looking at populations that wear masks

02:59:34 versus don’t wear masks.

02:59:36 As opposed to actually saying,

02:59:40 like from an engineering perspective,

02:59:41 like what kind of material and what kind of tightness

02:59:46 by which amount decreases the viral load

02:59:50 that’s received on the other end.

02:59:52 But some experiments have been done with masks

02:59:55 and just droplets with no virus in them, right?

02:59:58 And you can measure the efficiency

03:00:01 of different mask materials at keeping those in.

03:00:04 So if I say that this mask stops 70%

03:00:09 of this or larger size droplet,

03:00:13 that leads to this percent decreased transmission.

03:00:18 And also on both the generation

03:00:23 and the receiving end and the giving end.

03:00:27 Sure.

03:00:28 So how well do masks protect you from others?

03:00:30 How well do you do mask protect others from you?

03:00:34 Like all of those things seem like

03:00:36 they could be more rigorously studied.

03:00:40 There’s no doubt about it.

03:00:41 And now is the time because once this is over,

03:00:46 nobody’s gonna do it.

03:00:47 Nobody’s gonna care.

03:00:48 No. Right.

03:00:49 But it seems like to me, so tests is one thing,

03:00:52 but masks, like the good mask,

03:00:57 whatever the good means, whatever that means,

03:00:59 like some level of quality of material on your face,

03:01:04 if it’s shown to actually like thoroughly shown to work well,

03:01:08 that seems like an obvious solution

03:01:12 to reopen society with.

03:01:14 If you have a good understanding of how well they work.

03:01:17 Because if you don’t have a good understanding,

03:01:20 if there’s a lot of uncertainty,

03:01:21 that’s when you get,

03:01:23 and you have people speaking from authority,

03:01:24 that’s when you start getting the politicization

03:01:27 of the solution.

03:01:28 Of course, of course.

03:01:29 No, the data, there are some data,

03:01:33 most, they’re mostly epidemiological

03:01:36 and they show some effect in some countries, right?

03:01:39 But they could be way better.

03:01:40 Yeah.

03:01:41 And, but the fact that they’re not perfect,

03:01:44 then people take advantage of and say,

03:01:46 well, look, they don’t work that well,

03:01:48 so I’m not gonna wear it.

03:01:49 I think, as you said, people can use it as an excuse.

03:01:53 But even if it works, so Daniel always says,

03:01:56 a mask will cut down transmission by 50 to 60%,

03:02:00 and then distance will do another 30%.

03:02:03 Yeah, those numbers are made up though.

03:02:05 I mean, they’re not made up, but they’re estimates.

03:02:08 Absolutely.

03:02:09 And many of them are made based on models, right?

03:02:12 Yeah.

03:02:13 We make this model,

03:02:14 and let’s say the mask cuts down this much,

03:02:16 what will be the effect on it?

03:02:17 I mean, yeah, they’re models,

03:02:19 and it’s for the same reason.

03:02:20 I don’t believe the transmission of the variants

03:02:25 because it’s all based on statistical models as well,

03:02:27 not biological experiments done in a lab.

03:02:29 So in that sense, vaccine data is much better

03:02:32 than mask data.

03:02:33 For sure, for sure.

03:02:34 So my problem with the mask data,

03:02:37 which I always thought was fascinating,

03:02:38 I stopped talking about it.

03:02:39 I was in a paper about masks.

03:02:41 I stopped talking about it

03:02:42 because what started happening

03:02:45 is masks created assholes on both sides.

03:02:48 The people that were like in Silicon Valley,

03:02:50 the friends of mine that were wearing masks,

03:02:52 the way they look at others who don’t is like…

03:02:56 Well, that’s a whole nother issue, right?

03:02:58 Yeah, I understand.

03:02:59 That happens when you don’t have solid science.

03:03:02 Understood.

03:03:03 They now start judging you like you’re a lesser human being.

03:03:07 You’re not only dumb, but you’re almost like evil.

03:03:11 You’re doing bad for society by not wearing a mask.

03:03:14 And then the people looking in the other way

03:03:17 are seeing you for the asshole that you’re being

03:03:19 for judging them unrightly.

03:03:22 So they almost wanna say F you by not wearing the mask.

03:03:24 And there’s this division that’s created

03:03:26 that was heartbreaking to me because masks like testing

03:03:30 is a solution that was available early on.

03:03:33 And if understood well, it could be deployed

03:03:35 in a mass scale, and it seems like there’s

03:03:37 some historical evidence for other viruses

03:03:40 where it does very well.

03:03:41 That’s correct.

03:03:42 And so like the fact that this was politicized,

03:03:47 yeah, it was a little bit heartbreaking.

03:03:48 You can find in the literature studies,

03:03:51 mostly of healthcare workers and influenza,

03:03:54 where you can actually,

03:03:56 because you see the people every day that can sample them,

03:03:58 you can actually see what masking does.

03:04:00 And some of them show an effect and others do not,

03:04:04 then that’s the problem.

03:04:05 Like any trial, sometimes if it’s not big enough

03:04:08 and then people latch onto that, see,

03:04:10 it doesn’t really work.

03:04:11 But I think the main issue is that in January,

03:04:15 both CDC and WHO said masks don’t work, don’t use them.

03:04:20 That was the kiss of death for masks

03:04:22 because when they then changed their mind,

03:04:25 they didn’t say we screwed up.

03:04:28 They just said wear masks.

03:04:29 If they had said we made a mistake, we were wrong,

03:04:33 I think more people would have worn masks.

03:04:35 But they didn’t.

03:04:36 And like you said, admitting you’re wrong

03:04:39 is like a real big part of it.

03:04:41 And I also think almost the better way

03:04:43 is not just saying you’re wrong,

03:04:46 but in January saying,

03:04:49 like revealing the uncertainty under which we operate.

03:04:52 Like actually, like reveal what was done

03:04:56 with the Spanish flu at the beginning

03:04:58 of the previous century,

03:05:01 because there’s a lot of mass controversy then too.

03:05:03 It went back and forth.

03:05:04 And that was actually the source of a lot of distrust

03:05:05 there too.

03:05:06 So, and then look at influenza,

03:05:09 like how is it effective with that?

03:05:11 And just reveal this, we don’t know,

03:05:13 but like with some probability,

03:05:17 this is the best option we got currently.

03:05:20 And then in a month or two, adjust it,

03:05:23 saying that, you know what,

03:05:25 our like uncertainty decreased a little bit.

03:05:27 We have a better idea.

03:05:29 Like that was an incorrect estimate,

03:05:32 but reveal that you’re struggling.

03:05:34 It’s not like this weird binary clock

03:05:36 that goes one direction or the other.

03:05:38 You’re struggling with uncertainty.

03:05:41 And like trusting,

03:05:43 people maybe criticize me sometimes for this,

03:05:45 but I think most people are actually intelligent.

03:05:48 Like trusting the public to be intelligent

03:05:51 with if you give them, if you have transparent

03:05:54 and give them information in a real authentic way,

03:05:57 like don’t look like you’re hiding something.

03:05:59 I think they’re intelligent enough to use that data

03:06:01 to make decisions.

03:06:03 It’s the same thing as with the testing,

03:06:05 is if you put that power in the people’s hands

03:06:07 to know if they’re sick or not,

03:06:08 they’re gonna make unmasked the right decision, I think.

03:06:14 The masks and the testing has been a bit heartbreaking.

03:06:18 I think that’s a good point though,

03:06:19 that most people don’t seem to have an objection

03:06:21 to testing.

03:06:23 It’s a good point.

03:06:23 Yes. Yeah.

03:06:24 And then obviously Macamina makes that point brilliantly.

03:06:27 And still there’s very little excitement around that.

03:06:33 But he said he was going to do it.

03:06:35 I don’t understand.

03:06:35 I mean, I haven’t spoken to him since then.

03:06:37 So I don’t know why.

03:06:38 He’s pushing it.

03:06:39 Well, I mean, but he can’t do it alone.

03:06:41 He has to get, so one of the resistances,

03:06:44 FDA doesn’t like cheap things.

03:06:48 Yeah.

03:06:49 They don’t wanna approve it.

03:06:50 So they makes the mass manufacture

03:06:52 like with the emergency exceptions,

03:06:55 all those kinds of things very difficult.

03:06:57 And then there’s not much money to be made on it

03:06:59 without that.

03:07:00 I don’t know.

03:07:01 I think there’s just economic pressures against it.

03:07:04 And because so much investment was placed on the vaccines

03:07:10 and obviously there’s an incentive mechanism there

03:07:13 where the companies, lobbyists and all those,

03:07:17 there’s this machine that says arguing for tests

03:07:21 is difficult because the thing that’s worked

03:07:23 for most severe viruses in the past is vaccines.

03:07:27 Now we have vaccines.

03:07:28 Why the hell would you need tests?

03:07:30 At that time, like why the hell do you need tests

03:07:34 when we can be working on vaccines?

03:07:36 It seems like the obvious thing to be working

03:07:37 is the vaccines from their perspective,

03:07:40 but it’s not obvious at all to me.

03:07:43 I think you should have both.

03:07:44 I think have vaccines and good testing

03:07:46 and that covers you really well

03:07:48 because you’re always gonna have people

03:07:50 who don’t get vaccinated.

03:07:52 I don’t know if you’ve been paying attention to this.

03:07:54 There’s a guy named Brett Weinstein.

03:07:55 There’s a guy named Sam Harris.

03:07:57 They have good representation.

03:08:00 I would say of two sides of a perspective on the vaccine.

03:08:06 So from Sam Harris’s perspective,

03:08:09 it’s obvious that everybody should get vaccinated

03:08:13 and it’s irresponsible to not get vaccinated.

03:08:18 I think he represents a lot of people’s belief in that.

03:08:22 And then Brett talks a lot about ivermectin,

03:08:28 but also talks about hesitancy towards the vaccine

03:08:32 for people who are healthy,

03:08:35 for people who are younger, that kind of thing,

03:08:38 and saying we should consider longterm effects

03:08:40 of the vaccine in making this calculation.

03:08:45 What do you make about this conversation?

03:08:47 Some of it happens on Twitter.

03:08:49 Some of it happens in the space of podcasts.

03:08:54 Do you pay attention to this kind of thing?

03:08:56 What’s your role in this?

03:08:58 What do you hope is the way to resolve this conversation?

03:09:02 Do you think it’s healthy?

03:09:04 Well, a conversation is always healthy,

03:09:05 but to make definitive statements is not

03:09:09 because it suggests you have information that you don’t have.

03:09:12 So we talked about longterm effects.

03:09:16 I think you need to balance those versus longterm effects

03:09:20 of the disease and you can make your decision.

03:09:22 I don’t think you need to tell everybody to get vaccinated.

03:09:26 I think you need to present the case.

03:09:28 You say, here, we made good vaccines.

03:09:30 Here are the safety profile.

03:09:32 Here’s the risk benefit balance.

03:09:34 And you should decide.

03:09:35 You’re a smart person.

03:09:36 You should decide.

03:09:37 Now, companies are gonna do differently, right?

03:09:41 Companies may say you have to be vaccinated to work here.

03:09:43 My employer, Columbia, said we have to be vaccinated

03:09:46 to work in the fall.

03:09:47 And if you wanna be a student, you have to be vaccinated.

03:09:49 So you decide whether you wanna go or not.

03:09:52 But the idea that you should make a decision

03:09:58 based on longterm effects, there is no evidence, right?

03:10:02 So how can you make a decision

03:10:03 when we don’t have evidence,

03:10:05 whereas we do have evidence

03:10:06 that there are longterm effects of getting COVID?

03:10:08 So I don’t think that’s a fair argument

03:10:10 and it just makes people scared to say that.

03:10:13 But on the other hand, for someone to say

03:10:15 it’s a no brainer and to denigrate people

03:10:18 for not being vaccinated, that’s not the approach either

03:10:20 because they’re gonna dig in and say,

03:10:23 I’m not doing this because you tell me to, right?

03:10:25 I think the middle ground is to say,

03:10:28 take a bit of both and say, here are the potential issues

03:10:33 and here are the benefits and this is what I would do.

03:10:37 And you have to just decide on your own.

03:10:38 I’d leave it to them.

03:10:39 I say, you decide.

03:10:40 And if you don’t want to, it’s up to you.

03:10:42 You don’t have to get vaccinated.

03:10:44 And you’ll probably get infected at some point

03:10:46 and maybe you’ll be okay.

03:10:50 But here’s the best available data

03:10:51 and it looks like the vaccines are pretty damn smart solution.

03:10:56 They seem to work.

03:10:57 I think you tell people what you did

03:11:00 and present both sides calmly.

03:11:01 And I think digging in, like in a debate,

03:11:04 I don’t think that’s terribly useful.

03:11:06 So that’s my view.

03:11:08 I mean, people come to me all the time and ask me,

03:11:11 I’m worried, what should I do?

03:11:14 And I say, what are you worried about?

03:11:16 Let’s talk about it and go through it calmly.

03:11:18 And if they want to still take ivermectin,

03:11:20 I say, it’s fine, it’s your choice.

03:11:22 And I have a problem with that.

03:11:23 I love that.

03:11:24 I love that’s the way you think.

03:11:26 People should definitely listen to This Week in Virology

03:11:32 and follow your work, it’s brilliant.

03:11:33 I’ve been really enjoying it lately.

03:11:35 It’s like, it’s my favorite way to stay in touch

03:11:38 with the happenings of COVID.

03:11:42 Obviously you put in a lot of other stuff in there, but.

03:11:45 We used to do other viruses before COVID.

03:11:47 It was quite interesting.

03:11:50 And I’m trying to slip other viruses in

03:11:52 because I think they’re informative in many ways.

03:11:56 And we’re gonna do more and more of that.

03:11:57 But I have to say I canceled,

03:11:58 usually I record on Tuesday and Friday

03:12:00 and I canceled today so I could be with you.

03:12:02 It’s a huge honor, I appreciate that.

03:12:05 No, no, it’s fine.

03:12:06 I think a couple of other people were gonna be away anyway.

03:12:10 So I do a lot of different pods.

03:12:12 They’re all on YouTube, but I also do a live stream

03:12:15 on Wednesday nights on YouTube, which you can find.

03:12:18 And that’s where people can come and ask questions.

03:12:21 We don’t have an agenda.

03:12:22 We just start and by 30 minutes in,

03:12:25 there’s 700 people with questions

03:12:27 that I can’t even get through

03:12:28 because there’s so many of them.

03:12:29 And I’m actually astounded

03:12:31 that so many people have really good questions.

03:12:35 Most of them are reasonable and they come back every week.

03:12:38 So it’s turning into a great forum

03:12:41 to have a nice discussion.

03:12:44 And the YouTube channel is called what?

03:12:46 So you could search for my name,

03:12:48 which is Vincent Racaniello, it’ll turn up.

03:12:51 Or my handle on YouTube is ProfVRR, P R O F V R R.

03:13:00 Have you read The Plague by Camus by any chance?

03:13:03 Years ago, years ago.

03:13:05 I have to read it again.

03:13:07 That’s really relevant.

03:13:08 Let me sort of ask you a question about it.

03:13:10 It describes a town that’s overtaken by a plague

03:13:14 and it’s blocked off from the rest of the world.

03:13:16 And it kind of reveals the best, the worst of human nature.

03:13:19 That’s like how people respond to that.

03:13:21 Sort of the encroaching, their own mortality,

03:13:25 their own death on the horizon.

03:13:27 I think one of the messages in the book

03:13:28 that ultimately like love for others.

03:13:34 So like a lot of people want to become isolated

03:13:36 and they hide from each other,

03:13:38 but ultimately the thing that saves you is love,

03:13:42 which is one of the things of just watching this pandemic,

03:13:46 with the distance, with the masks, that’s all fine.

03:13:50 But there’s a distancing from people of that tension,

03:13:55 the breaking of the common humanity between people.

03:13:59 That’s one of the reasons when I came to Austin

03:14:02 earlier this year just to visit,

03:14:05 I fell in love with the city

03:14:06 because even with the masks and the distance,

03:14:09 there was still a camaraderie, like, I don’t know,

03:14:14 just a love for each other,

03:14:15 just a kindness towards each other.

03:14:18 And that’s why I took away from The Plague.

03:14:20 Mostly it’s told to the story of the doctor

03:14:23 who basically gives in

03:14:27 and just gives himself as a service to others.

03:14:30 And that love is the thing that liberates him

03:14:33 from his own conception of mortality,

03:14:34 the fact that he’s here, he’s going to die.

03:14:37 What do you think about the effect of the virus?

03:14:41 We talked a lot about biology,

03:14:43 but the effect of the virus

03:14:45 on the fabric of the common humanity that connects us.

03:14:50 Well, that’s what a pandemic does.

03:14:54 It really cuts that, right?

03:14:56 Because small outbreaks, they’re local,

03:14:58 they don’t have global effects.

03:15:00 But when you have something this big

03:15:03 where pretty much nobody escapes,

03:15:07 and not just making people sick,

03:15:10 it changes your life, right?

03:15:12 People lose jobs, they change jobs,

03:15:14 they move somewhere else.

03:15:17 They have all kinds of disruptions.

03:15:20 You know, kids can’t go to school.

03:15:22 It really shows you.

03:15:23 I mean, I always like to say,

03:15:25 a tiny virus can bring Earth to its knees.

03:15:30 A tiny virus that you can’t even see them,

03:15:31 that most people don’t even think about most of the time.

03:15:35 And the real effect is not just sickness,

03:15:37 it’s what it does to people.

03:15:39 Because in the end, we are animals,

03:15:42 and most animals like each other, and they interact,

03:15:46 they have great social structures,

03:15:47 and that makes them do well.

03:15:49 And I guess the exception is people in AI, right?

03:15:53 They could be on their own.

03:15:56 Well, that’s why you build robots,

03:15:57 that you fall in love with.

03:15:58 That’s right.

03:15:59 And so I think when a,

03:16:02 the real story is what it does to society, for sure.

03:16:06 Which has ramifications way beyond

03:16:08 the number of people dying,

03:16:10 and the vaccines, and the tests, and all of that.

03:16:12 And this one has really made a big rupture.

03:16:15 And you could tell, not now so much,

03:16:17 I think being out and about now,

03:16:18 things look pretty normal,

03:16:21 except for some people wearing masks.

03:16:23 You would never know.

03:16:25 I mean, the airport this morning was completely jammed.

03:16:28 People going, and they’re all on vacation,

03:16:29 they’re all wearing shorts, right?

03:16:31 So they’re back to normal.

03:16:32 It’s August.

03:16:34 But last year is really different.

03:16:36 In New York, where you’re used

03:16:38 to lots of people on the street, it was eerie.

03:16:41 It was just quiet.

03:16:43 But under it all, people are still,

03:16:46 most people help each other when they have to, right?

03:16:50 Most people are willing to,

03:16:52 if something happens to someone,

03:16:53 to reach out and help them.

03:16:56 There are always exceptions where people are mean,

03:16:58 and that’s just the way animals are.

03:17:01 We’re not the only ones that can be mean to our own species.

03:17:05 But I think most of the motivation

03:17:08 for everything that was done is to help other people.

03:17:12 I mean, I do think that the vaccine manufacturers,

03:17:15 maybe not the leaders, but the people working in the labs

03:17:18 really wanted to get this out quickly

03:17:20 and help people, right?

03:17:22 I think at every level, people who are contributing

03:17:26 really wanted to help other people

03:17:27 and feel proud that they’re able to do that.

03:17:30 So I view it as we’re never gonna be 100% good

03:17:35 because animals are not.

03:17:37 Evolution made us, I mean, we’re lucky.

03:17:40 We somehow rose above by having incredible brain

03:17:43 and so forth, but a lot of our base instincts

03:17:45 are animals, and they chase each other

03:17:47 and have alpha males and all that stuff,

03:17:51 and we always have a little bit of that in us.

03:17:53 But we do have some humanity

03:17:56 that this really ripped up, it really did.

03:18:00 And I think for me, someone who studied viruses

03:18:05 for over 40 years, it’s just amazing

03:18:07 that an invisible thing can do that, right?

03:18:11 It goes back to the thing you found fascinating,

03:18:13 which is a virus affecting human behavior.

03:18:15 Yes.

03:18:16 Or behavior of the organism.

03:18:18 Yes, so humans can make weapons and do harm

03:18:22 and you can see that, but this you can’t even see.

03:18:25 Yeah.

03:18:26 You can’t, and look what it has done.

03:18:27 And it’ll do it again, there’ll be more.

03:18:29 I just, I wish we would be more prepared

03:18:32 because we know what to do.

03:18:34 We know we should be making antivirals vaccines,

03:18:38 masks, testing masks, making test modalities

03:18:42 that we can really quickly redesign.

03:18:46 But after SARS one, all that went out the door.

03:18:49 People didn’t do anything,

03:18:50 and that’s why we’re in this situation.

03:18:51 So people ask me this all the time,

03:18:54 are we gonna be ready for the next one?

03:18:57 And I always say, we should be.

03:18:59 We have all the information we need to know what to do.

03:19:03 But somehow I think people forget.

03:19:05 That said, sometimes we really step up

03:19:12 when the tragedies run in front of us.

03:19:14 We do.

03:19:15 When the catastrophe.

03:19:16 So I don’t know, somehow humans have still survived.

03:19:18 The fact that we had nuclear weapons for so many decades

03:19:21 and we still have not blown each other up,

03:19:23 whether by terrorists or by nation is quite surprising.

03:19:27 That’s always, after reading the Pentagon Papers,

03:19:30 it’s even more amazing, right?

03:19:32 So I don’t know how we do it.

03:19:34 I tend to believe there’s that at the surface,

03:19:40 you notice the greed, the corruption, the evil,

03:19:43 but the core of human nature, the human spirit

03:19:46 is one in the scientific realm is curiosity,

03:19:50 and more deeply is kindness, compassion,

03:19:54 and wanting to do good for the world.

03:19:56 I believe that desire to do good outpowers

03:20:00 all the other stuff by a large amount.

03:20:03 And that’s why we have not yet destroyed ourselves.

03:20:06 There’s a lot of bickering.

03:20:08 There’s a lot of wars on the surface,

03:20:10 but underneath it all,

03:20:11 there’s this ocean of love for each other.

03:20:16 I mean, I think there’s an evolutionary advantage to that.

03:20:21 And it would be a good explanation

03:20:23 why we still haven’t destroyed ourselves.

03:20:25 God, we had so many opportunities.

03:20:27 If you look at all the wars in history, so many.

03:20:29 I was just, my son was telling me

03:20:33 about the Ottoman Empire, right?

03:20:35 I mean, it’s just war after war,

03:20:39 and then other countries splitting up countries

03:20:42 with no regard to who’s living where, right?

03:20:46 It’s just, how can these people do this?

03:20:49 Yeah, it’s fascinating.

03:20:50 Human history is fascinating,

03:20:52 and we’re still young as a species.

03:20:54 We have a lot more time to go,

03:20:57 and a lot more ways to destroy ourselves.

03:21:00 Do you have advice?

03:21:01 Like you said, you have many decades of research

03:21:03 and an incredible career and life.

03:21:06 Do you have advice for young people about career,

03:21:09 about life, people in high school, people in college,

03:21:13 of how to live a life they can be proud of?

03:21:17 So what I like to do is tell people,

03:21:20 don’t plan it, because I didn’t plan anything.

03:21:22 Everything I did was one step at a time.

03:21:25 You don’t have to plan.

03:21:26 I just found things that were interesting to me.

03:21:30 And so my father was a doctor,

03:21:33 and he wanted me to be a doctor,

03:21:35 but I was not interested in taking care of people.

03:21:39 I learned that, but I couldn’t say no to him.

03:21:43 So I was a biology major in college,

03:21:46 and I graduated, and I didn’t have anything to do.

03:21:51 So I liked science, so I got a job in a lab.

03:21:54 And it was very exciting,

03:21:57 and that led to everything else

03:22:00 that I’ve done one step at a time.

03:22:02 And I think the most important thing you can do,

03:22:05 well, there are two important things.

03:22:06 You can be really curious all the time.

03:22:08 You mentioned curiosity.

03:22:10 I think curiosity is essential.

03:22:12 You have to be curious about everything.

03:22:15 And if you are, you’re never gonna be bored.

03:22:19 And so people who say they’re bored,

03:22:20 I say, you are not curious.

03:22:22 You should just think about things

03:22:24 and say, look at something and say, how does that work?

03:22:27 Or what is it doing, and how do they get there?

03:22:29 And you’ll never be bored.

03:22:30 And the other thing is when you find something,

03:22:32 which may take time, it’s fine.

03:22:36 You have to be passionate about it.

03:22:38 You have to put everything into it.

03:22:40 And that’s what I did with viruses.

03:22:42 So I think they’re amazing.

03:22:46 And I tell my classes, I love viruses.

03:22:51 They’re amazing, and people think I’m morbid

03:22:53 because obviously they kill people,

03:22:55 and I shouldn’t love something.

03:22:56 But that’s not the point.

03:22:57 That’s not what I mean.

03:22:58 I love them in the way they have emerged

03:23:00 and how they work and so forth

03:23:03 and all that we don’t know about them.

03:23:04 So you need to be curious and passionate,

03:23:06 and don’t plan too much.

03:23:07 And just find something that you don’t call a job.

03:23:12 As someone said on the livestream last week,

03:23:14 I wish I had a job I liked as much as you.

03:23:17 I said, it’s not a job.

03:23:18 I never looked at it as a job.

03:23:20 It’s my vocation, it’s my passion.

03:23:23 If it’s a job, then you’re not gonna like it.

03:23:25 Yeah, something that doesn’t feel like a job.

03:23:28 So you said viruses are kind of passive,

03:23:33 nonliving, you could say, or even cells are passive.

03:23:38 And humans are kind of active.

03:23:39 We seem to be making our own decisions.

03:23:42 So let me ask you the why question.

03:23:44 What do you think is the meaning of this life of ours?

03:23:47 Oh, there’s no meaning.

03:23:49 It just happened.

03:23:51 It’s an accident.

03:23:53 I think there’s no life elsewhere

03:23:55 because this is just a rare accident

03:23:56 that happened in the right conditions.

03:23:58 I mean, people all think I’m wrong

03:24:00 because there are billions and billions

03:24:01 of stars out there, right?

03:24:02 So there’s a lot of opportunity.

03:24:05 There’s no meaning.

03:24:06 It’s just, what do they call it?

03:24:10 A perfect storm of events

03:24:12 that led to molecules being formed.

03:24:14 And eventually, I mean, it took a long time

03:24:17 for life to evolve, right?

03:24:19 But it’s just driven by conditions.

03:24:23 If something emerged that worked,

03:24:25 it would then go on to the next step.

03:24:26 There’s no meaning other than that.

03:24:29 The only difference is that we,

03:24:32 and I think many other animals can probably,

03:24:34 we have the ability, we’re sentient, right?

03:24:36 We can influence what happens to us.

03:24:39 We can take medicines, right?

03:24:41 We can alter what would normally happen to us.

03:24:44 So we can remove some of the selection pressure.

03:24:48 But I think everything else on the planet

03:24:50 just goes, looks for food and give a lot of offspring

03:24:55 so you can perpetuate.

03:24:56 It’s just a natural biological function.

03:24:58 Yeah, they’re much more directly concerned with survival.

03:25:01 I think humans are able to contemplate their mortality.

03:25:04 We can see that even if we’re okay today,

03:25:08 we’re eventually going to die

03:25:10 and we really don’t like that.

03:25:13 So we try to come up with ways to push that deadline

03:25:16 farther and farther away.

03:25:17 Well, we have really, I mean,

03:25:18 we used to die in our 30s, right?

03:25:20 Now it’s 70s, 80s.

03:25:22 Well, most of us used to die in the first few weeks.

03:25:26 That’s true.

03:25:27 Yeah, infant death.

03:25:29 I always tell people the only thing that’s 100% is death.

03:25:34 It’s the only thing in the world that’s 100%.

03:25:36 Do you think about your own mortality?

03:25:37 No, I never think about it.

03:25:39 I’m just enjoying day to day and I don’t think about it.

03:25:42 Really?

03:25:43 You work on viruses.

03:25:44 You don’t contemplate your own mortality

03:25:47 given the deadliness of the viruses around us?

03:25:51 I never thought COVID would kill me.

03:25:53 No, I never was afraid of that.

03:25:55 Not at all.

03:25:56 I mostly feared for other people getting sick,

03:26:00 especially people who could die of it.

03:26:02 I didn’t want that to happen to them.

03:26:03 But I always thought that it’s obviously

03:26:06 not a realistic viewpoint not to be worried

03:26:10 because many people are.

03:26:13 But I’ve been relatively healthy.

03:26:17 They should sequence my genome because it works really well

03:26:19 and I have a good immune system.

03:26:21 Maybe you’d be the first immortal person.

03:26:24 There’s gotta be a first.

03:26:25 I don’t think so.

03:26:27 I think that biologically you just can’t,

03:26:31 the ends of our chromosomes keep getting

03:26:32 shorter and shorter and that’s eventually what kills us.

03:26:37 So you just can’t keep going on.

03:26:39 But that’s fine, I don’t need to.

03:26:42 I understand from the vampires

03:26:43 that it’s not good to live forever.

03:26:47 I guess make the most of the time you got.

03:26:50 That’s the, bacteria live a much shorter time

03:26:53 so we got that on bacteria.

03:26:55 Bacteria are just little bags of chemicals that split.

03:27:00 So they have no stake in the matter at all.

03:27:05 It doesn’t bother.

03:27:06 I think that you have to go a long ways

03:27:08 before you get into some kind of consciousness.

03:27:12 Yeah, it’s weird that this bag of chemicals

03:27:15 has a stake in the matter.

03:27:17 Like our human body, consciousness is a weird thing.

03:27:21 Not just in us, but they make half of the oxygen

03:27:23 on the planet.

03:27:24 20% of the oxygen comes from bacteria.

03:27:27 And they made, in the beginning of Earth,

03:27:29 they made enough oxygen to start oxygenation going,

03:27:34 life going.

03:27:34 I mean, they have an incredible role.

03:27:36 It’s all an accident, just happened.

03:27:40 Well, Vincent, like I told you, I’m a huge fan.

03:27:44 It’s a big honor that you would talk to me today.

03:27:47 Thank you so much for coming down.

03:27:48 Thank you for spending so much time with me.

03:27:51 And thank you for everything you do

03:27:53 in terms of educating about viruses,

03:27:54 about biology, microbiology, and everything else.

03:27:57 I can’t wait.

03:27:58 Everybody should check out Vincent’s YouTube,

03:28:00 watch his lectures, listen to the podcast.

03:28:03 It’s truly incredible.

03:28:05 Thank you so much for talking to me, Vincent.

03:28:06 My pleasure.

03:28:08 Thanks for listening to this conversation

03:28:10 with Vincent Racaniello.

03:28:12 To support this podcast,

03:28:13 please check out our sponsors in the description.

03:28:16 And now, let me leave you with some words

03:28:18 from Isaac Asimov.

03:28:20 The saddest aspect of life right now

03:28:23 is that science gathers knowledge

03:28:25 faster than society gathers wisdom.

03:28:27 Thank you for listening and hope to see you next time.