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Jay Bhattacharya: The Case Against Lockdowns

Episode 2542022-01-04English

Guests: Jay Bhattacharya

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§01Transcript · 00:00–09:04

00:00The following is a conversation with Jay Bhattacharya,

00:02Professor of Medicine, Health Policy and Economics

00:06at Stanford University.

00:08Please allow me to say a few words about lockdowns

00:11and the blinding, destructive effects of arrogance

00:14on leadership, especially in the space of policy and politics.

00:19Jay Bhattacharya is the coauthor

00:21of the now famous Great Barrington Declaration,

00:24a one page document that in October 2020

00:27made a case against the effectiveness of lockdowns.

00:32Most of this podcast conversation

00:33is about the ideas related to this document.

00:36And so let me say a few things here about what troubles me.

00:41Those who advocate for lockdowns as a policy

00:44often ignore the quiet suffering of millions

00:47that it results in, which includes economic pain,

00:50loss of jobs that give meaning and pride

00:52in the face of uncertainty, the increase in suicide

00:55and suicidal ideation, and in general,

00:58the fear and anger that arises from the powerlessness

01:02forced onto the populace

01:04by the self proclaimed elites and experts.

01:08Many folks whose job is unaffected by the lockdowns

01:11talk down to the masses about which path forward

01:14is right and which is wrong.

01:16What troubles me most is this very lack of empathy

01:20among the policymakers for the common man

01:22and in general for people unlike themselves.

01:26The landscape of suffering is vast

01:28and must be fully considered

01:30in calculating the response to the pandemic

01:33with humility and with rigorous,

01:36open minded scientific debate.

01:39Jay and I talk about the email from Francis Collins

01:42to Anthony Fauci that called Jay and his two coauthors

01:46fringe epidemiologists and also called

01:49for a devastating published take down of their ideas.

01:53These words from Francis broke my heart.

01:57I understand them, I can even steel man them,

02:00but nevertheless, on balance,

02:02they show to me a failure of leadership.

02:06Leadership in a pandemic is hard,

02:09which is why great leaders are remembered by history.

02:12They are rare, they stand out and they give me hope.

02:17Also, this whole mess inspires me

02:21on my small individual level to do the right thing

02:24in the face of conformity, despite the long odds.

02:29I talked to Francis Collins,

02:31I talked to Albert Burla, Pfizer CEO.

02:34I also talked and will continue to talk

02:36with people like Jay and other dissenting voices

02:39that challenge the mainstream narratives

02:42and those in the seats of power.

02:43I hope to highlight both the strengths and weaknesses

02:46in their ideas with respect and empathy,

02:49but also with guts and skill.

02:53The skill part, I hope to improve on over time.

02:56And I do believe that conversation

02:59and an open mind is the way out of this.

03:03And finally, as I've said in the past,

03:06I value love and integrity far, far above money,

03:10fame and power.

03:12Those latter three are all ephemeral.

03:15They slip through the fingers of anyone

03:17who tries to hold on and leave behind

03:19an empty shell of a human being.

03:23I prefer to die a man who lived by principles

03:26that nobody could shake and a man

03:28who added a bit of love to the world.

03:31This is the Lex Friedman podcast.

03:33To support it, please check out our sponsors

03:36in the description.

03:37And now, here's my conversation with Jay Bhattacharya.

03:43To our best understanding today, how deadly is COVID?

03:48Do we have a good measure for this very question?

03:52So the best evidence for COVID, the deadliness of COVID,

03:56comes from a whole series of seroprevalence studies.

04:00Seroprevalence studies are these studies

04:01of antibody prevalence in the population at large.

04:04I was part of the very first set of seroprevalence studies,

04:08one in Santa Clara County, one in L.A. County,

04:10and one with Major League Baseball around the U.S.

04:14If I may just pause you for a second.

04:17If people don't know what serology is and seroprevalence,

04:20it does sound like you say zero prevalence.

04:23It's not, it's sero and serology is antibodies.

04:26So it's a survey that counts the number of antibodies.

04:29Specific to COVID, yes.

04:31People that have antibodies specific to COVID,

04:34which perhaps shows an indication

04:37that they likely have had COVID,

04:39and therefore this is a way to study

04:41how many people in the population

04:43have been exposed to or have had COVID.

04:45Exactly, yeah, exactly.

04:46So the idea is that we don't know

04:51exactly the number of people with COVID

04:53just by counting the people

04:54that present themselves with symptoms of COVID.

04:57COVID has, it turns out, a very wide range of symptoms,

05:01ranging from no symptoms at all

05:04to this deadly viral pneumonia

05:05that has killed so many people.

05:07And the problem is, if you just count the number of cases,

05:10the people who have very few symptoms

05:12often don't show up for testing.

05:15They're outside of the can of public health.

05:18And so it's really hard to know the answer to your question

05:21without understanding how many people are infected,

05:24because you can probably tell the number of deaths,

05:26even though there's some controversy over that.

05:28But that, so the numerator is possible,

05:31but the denominator is much harder.

05:33How much controversy is there about the death?

05:35We're gonna go on a million tangents.

05:36Is that, okay, we're gonna, I have a million questions.

05:40So one, I love data so much,

05:43but I'm like almost tuned out

05:45paying attention to COVID data,

05:47because I feel like I'm walking on shaky ground.

05:49I don't know who to trust.

05:52Maybe you can comment on different sources of data,

05:54different kinds of data.

05:55The death one, that seems like a really important one.

05:59Can we trust the reported deaths associated with COVID,

06:03or is it just a giant, messy thing that mixed up?

06:06And then there's this kind of stories about hospitals

06:09being incentivized to report a death as COVID death.

06:14So there's some truth in some of that.

06:16Let me just talk about the incentives.

06:19So in the United States, we passed this CARES Act

06:23that was aimed at making sure hospital systems

06:26didn't go bankrupt in the early days of the pandemic.

06:29The couple of things they did,

06:30one was they provided incentives to treat COVID patients,

06:34tens of thousands of dollars extra per COVID patient.

06:38And the other thing they did is they gave a 20% bump

06:41to Medicare payments for elderly patients

06:43who are treated with COVID.

06:44The idea is that there's more expensive to treat them

06:46at the early days.

06:48So that did provide an incentive

06:49to sort of have a lot of COVID patients in the hospital,

06:52because your financial success of the hospital,

06:55or at least not lack of financial ruin

06:57depended on having many COVID patients.

07:00The other thing on the death certificates

07:02is that reporting of deaths is a separate issue.

07:04I don't know that there's a financial incentive there,

07:06but there is this sort of like complicated,

07:08you know, when you fill out a death certificate

07:11for a patient with a lot of conditions,

07:13like let's say a patient has diabetes,

07:15a patient that, well, that diabetes could lead

07:17to heart failure.

07:20You know, you have a heart attack, heart failure,

07:22your lungs fill up, then you get COVID and you die.

07:26So what do you write on the death certificate?

07:28Was it COVID that killed you?

07:29Was it the lungs filling up?

07:31Was it the heart failure?

07:32Was it the diabetes?

07:34It's really difficult to like disentangle.

07:37And I think a lot of times what's happened

07:40is that people have like erred

07:42on the side of signing it as COVID.

07:44Now, what's the evidence of this?

07:46There's been a couple of audits of death certificates

07:49in places like Santa Clara County,

07:51where I live, in Alameda County, California,

07:54where they carefully went through the death certificate

07:56and said, okay, is this reasonable to say

07:57this was actually COVID or it was COVID incidental?

08:00And they found that about 25%, 20, 25% of the deaths

08:03were more likely incidental than directly due to COVID.

08:08I personally don't get too excited about this.

08:10I mean, it's a philosophical question, right?

08:12Like ultimately, what kills you?

08:16Which is an odd thing to say if you're not in medicine,

08:19but like really, it's almost always multifactorial.

08:23It's not always just the bus hits you.

08:25The bus hits you, you get a brain bleed.

08:27Was it the brain bleed that killed you?

08:28Would it have burst anyway?

08:29I mean, you know, the bus hits you, killed you, right?

08:32The way you die is a philosophical question,

08:34but it's also a sociological and psychological question

08:36because it seems like every single person

08:40who has passed away over the past couple of years,

08:43kind of the first question that comes to mind.

08:44Was it COVID?

08:45Was it COVID?

08:46Not just because you're trying to be political,

08:48but just in your mind.

08:49No, I think there's a psychological reason for this, right?

08:51So, you know, we spent the better part

08:55of at least a half century in the United States

08:57not worried too much about infectious diseases.

09:01The notion was we essentially conquered them.

09:03It was something that happens

§02Transcript · 09:04–18:18

09:04in far away places to other people.

09:07And that's true for much of the developed world.

09:10Life expectancy were going up for decades and decades.

09:13And for the first time in living memory,

09:16we have a disease that can kill us.

09:18I mean, I think we're effectively evolved to fear that,

09:21like the panic centers of our brain,

09:23the lizard part of our brain takes over.

09:26And our central focus has been avoiding this one risk.

09:29And so it's not surprising that people,

09:32when they're filling out death certificates

09:33or thinking about what led to the death,

09:36this most salient thing that's in the front

09:38of everyone's brain would jump to the top.

09:41And we can't ignore this very deep psychological thing

09:46when we consider what people say on the internet,

09:51what people say to each other,

09:52what people write in scientific papers, everything.

09:55It feels like when COVID has been brought onto this world,

10:05everything changed in the way people feel about each other,

10:09just the way they communicate with each other.

10:11I think the level of emotion involved,

10:15I think in many people, it brought out the worst in them.

10:20For sometimes short periods of time

10:22and sometimes it was always therapeutic,

10:24like you were waiting to get out

10:25like the darkest parts of you,

10:27just to say, if you're angry at something in this world,

10:30I'm going to say it now.

10:31And I think that's probably talking

10:34to some deep primal thing that fear we have

10:38for formalities of all different kinds.

10:41And then when that fear is aroused

10:43in all the deepest emotions,

10:46it's like a Freudian psychotherapy session,

10:49but across the world.

10:51It's something that psychologists are going to have

10:53a field day with for a generation trying to understand.

10:56I mean, I think what you say is right,

10:59but piled on top of that is also this sort of,

11:04this impetus to empathy,

11:05the empathized compassion toward others,

11:08essentially militarized, right?

11:11So I'm protecting you by some actions

11:16and those actions, if I don't do them,

11:20if you don't do them,

11:21well, that must mean you hate me.

11:24It's created this like social tension

11:26that I've never seen before.

11:27And we looked at each other

11:30as if we were just simply sources of germs

11:35rather than people to get to know,

11:37people to enjoy, people to get to learn from.

11:41It colored basically almost every human interaction

11:44for every human on the planet.

11:47Yeah, the basic common humanity.

11:49It's like you can wear a mask,

11:50you can stand far away,

11:52but the love you have for each other

11:54when you're looking into each other's eyes,

11:56that was dissipating by region too.

11:59I've experienced having traveled

12:01quite a bit throughout this time.

12:03It was really sad,

12:06even people that are really close together,

12:08just the way they stood,

12:09the way they looked at each other.

12:11And it made me feel for a moment

12:15that the fabric that connects all of us

12:17is more fragile than I thought.

12:20I mean, if you walk down the street,

12:21or if you ever, if you did this during COVID,

12:23I'm sure you had this experience

12:24where you walk down the street,

12:25if you're not wearing a mask,

12:26or even if you are,

12:27people will jump off the sidewalk

12:30that you walked past them,

12:31as if you're poison,

12:33even though the data are that COVID spreads

12:37indifferently outdoors,

12:39or if at all, really, outdoors.

12:41But it's not simply a biological

12:43or infectious disease phenomenon,

12:45or epidemiological phenomenon.

12:46It is a change in the way humans treated each other,

12:50I hope temporary.

12:52I do wanna say on the flip side of that,

12:54so I was mostly in Boston, Massachusetts

12:58when the pandemic broke out.

12:59I think that's where I was, yeah.

13:01And then I came here to Austin, Texas

13:04to visit my now good friend, Joe Rogan,

13:07and he was the first person without pause,

13:11this wasn't a political statement,

13:12this was anything,

13:13just walked toward me and gave me a big hug

13:16and say, it's great to see you.

13:18And I can't tell you how great it felt

13:20because I, in that moment,

13:21realized the absence of that connection back in Boston

13:24over just a couple of months.

13:26And it's, we'll talk about it more,

13:30but it's tragic to think about that distancing,

13:34that dissolution of common humanity at scale,

13:36what kind of impact it has on society.

13:39Just across the board, political division,

13:43and just in the quiet of your own mind,

13:45in the privacy of your own home, the depression,

13:47the sadness, the loneliness that leads to suicide.

13:51And forget suicide, just low key suffering.

13:55Yeah, no, I think that's the suffering,

13:58that isolation, we're not meant to live alone,

14:00we're not meant to live apart from one another.

14:02I mean, that's, of course, the ideology of lockdown

14:04is to make people live apart, alone, isolated,

14:07so that we don't spread diseases to each other, right?

14:10But we're not actually designed as a species

14:12to live that way.

14:14And that, what you're describing, I think,

14:16if everyone's honest with themselves, have felt,

14:19especially in places where lockdowns have been

14:22sort of very militantly enforced,

14:23has felt deep into their core.

14:26Well, if I could just return to the question of deaths.

14:30You said that the data isn't perfect,

14:31because we need these kind of seroprevalence surveys

14:35to understand how many cases there were

14:37to determine the rate of deaths.

14:39And we need to have a strong footing

14:42in the number of deaths.

14:42But if we assume that the number of deaths

14:45is approximately correct, like what's your sense,

14:49what kind of statements can we say about the deadliness

14:52of COVID across different demographics?

14:55Maybe not in a political way or in the current way,

14:58but when history looks back at this moment of time,

15:0350 years from now, 100 years from now,

15:05the way we look at the pandemic 100 years ago,

15:09what will they say about the deadliness of COVID?

15:12I mean, I think the deadliness of COVID depends on

15:14not just the virus itself, but who it infects.

15:18So probably the most important thing about it,

15:20about the deadliness of COVID,

15:21is this steep age gradient in the mortality rate.

15:26So according to these seroprevalence studies

15:28that have been done, now hundreds of them,

15:32mostly from before vaccination,

15:34because vaccination also reduces

15:35the mortality risk of COVID,

15:37the seroprevalence studies suggest that the risk of death,

15:42if you're, say, over the age of 70, is very high.

15:47You know, 5% if you get COVID.

15:50If you're under the age of 70, it's lower, 0.05.

15:54But there's not a single sharp cutoff.

15:56It's more like, I have a rule of thumb that I use.

15:59So if you're 50, say, the infection fatality rate

16:03from COVID is 0.2%, according to the seroprevalence data.

16:07That means 99.8% survival if you're 50.

16:11And for every seven years of age above that, double it.

16:14Every seven years of age below that, halve it.

16:17So a 57 year old would have a 0.4%.

16:20Mortality, a 64 year old would have a 0.8% and so on.

16:24And if you have a severe chronic disease,

16:26like diabetes or if you're morbidly obese,

16:29it's like adding seven years to your life.

16:32And this is for unvaccinated folks?

16:35This is unvaccinated before Delta also.

16:38Are there a lot of people that would be listening to this

16:41with PhDs at the end of their name

16:43that would disagree with the 99.8, would you say?

16:47So I think there's some disagreement over this.

16:49And the disagreement is about the quality

16:52of the seroprevalence studies that were conducted.

16:56So as I said earlier, I was the senior investigator

16:58in three different seroprevalence studies

17:00very early in the epidemic.

17:03I view them as very high quality studies.

17:07In Santa Clara County, what we did is we used a test kit

17:10that we obtained from someone who works

17:16in major league baseball, actually.

17:18He had ordered these test kits very early in March, 2020,

17:21that measures, very accurately measures antibody levels,

17:25antibodies in the bloodstream.

17:28These test kits were eventually were approved by the,

17:31had an EUA by the emergency use authorization by the FDA,

17:35sort of shortly after we did this.

17:37And it had a very low false positive rate,

17:40false positive means if you don't have

17:43these COVID antibodies in your bloodstream,

17:46the kit shows up positive anyways.

17:48That turns out to happen about 0.5% of the time.

17:52And based on studies, a very large number of studies

17:56looking at blood from 2018, you try it against this kit,

18:00and 0.5% of the time, 2018,

18:03there shouldn't be antibodies there to COVID.

18:05So if it turns positive to false positives, 0.5% of the time.

18:08And then like a false negative rate, about 10%, 12%,

18:14something like that, I don't remember the exact number,

18:16but the false positive rate is the important thing there.

§03Transcript · 18:18–27:04

18:18So you have a population in March, 2020 or April, 2020,

18:22with very low fraction of patients

18:25having been exposed to COVID,

18:26you don't know how much, but low,

18:28even a small false positive rate

18:30could end up biasing your study quite a bit.

18:34But there's a formula to adjust for that.

18:36You can adjust for the false positive rate,

18:37false negative rate.

18:38We did that adjustment, and those studies found

18:42in a community population,

18:43so leaving aside people in nursing homes

18:45who have a higher death rate from COVID,

18:48the death rate was 0.2% in Santa Clara County

18:52and in LA County.

18:53Across all age groups in a community,

18:56community meaning just like regular folks.

18:58Yeah, so that's actually a real important question too.

19:00So the Santa Clara study,

19:02we did this Facebook sampling scheme,

19:05which is, I mean, not the ideal thing,

19:08but it was very difficult to get a random sample

19:11and during lockdown,

19:14where we put out an ad on Facebook

19:17soliciting people to volunteer for the study,

19:19randomly selected set of people.

19:22We were hoping to get a random selection of people

19:24from Santa Clara County, but it tended to,

19:26the people who tend to volunteer

19:27were from the richer parts of the county.

19:28Like I had Stanford professors writing,

19:31begging to be in the study

19:32because they wanted to know their antibody levels.

19:34So we did some adjustment for that.

19:36In LA County, we hired a firm

19:38that had a preexisting representative sample of LA County.

19:44But it didn't include nursing homes,

19:46it didn't include people in jail, things like that,

19:48didn't include the homeless populations.

19:49So it's representative of a community dwelling population,

19:53both of those.

19:54And there we found that both in LA County

19:57and Santa Clara County in April, 2020,

20:00something like 40 to 50 times more infections

20:04than cases in both places.

20:06So for every case that had been reported

20:09to the public health authorities,

20:10we found 40 or 50 other infections,

20:15people with antibodies in their blood

20:17that suggested that they'd had COVID and recovered.

20:20So people were not reporting,

20:21or severe, at least in those days, underreporting.

20:25Yeah, I mean, there was testing problem.

20:26I mean, there weren't so many tests available.

20:29People didn't know.

20:30A lot of them, we asked a set of questions

20:32about the symptoms they'd faced,

20:34and most of them said they'd faced no symptoms,

20:36or at the most, 30, 40% of them said

20:38they'd faced no symptoms.

20:40And I mean, even these days,

20:42how many people report that they get COVID

20:44when they get COVID?

20:45Okay, have those numbers, that 0.2%,

20:49has that approximately held up over time?

20:51That is, so Professor John Ioannidis,

20:53who's a colleague of mine at Stanford,

20:55is a world expert in meta now,

20:56so probably the most cited scientist on Earth, I think,

21:00at least living.

21:01He did a meta analysis of now 100 or more

21:04of these seroprevalence studies.

21:08And what he found was that that 0.2%

21:11is roughly the worldwide number.

21:13In fact, I think he cites this lower number, 0.15%,

21:17as the median infection fatality rate worldwide.

21:20So we did these studies,

21:21and it generated an enormous amount of blowback

21:25by people who thought that the infection fatality rate

21:27is much higher.

21:28And there's some controversy over the quality

21:30of some of the other studies that are done.

21:32And so there are some people who look at this

21:34same literature and say, well,

21:36the lower quality studies tend to have lower IFRs.

21:39The higher quality studies.

21:40IFR?

21:41Oh, infection fatality rate, I apologize.

21:43I do this in lectures, too, I apologize.

21:45And I'm going to rudely interrupt you

21:48and ask for the basics sometimes, if it's okay.

21:51No, of course.

21:52So these higher quality studies, they say,

21:55tend to produce higher IFR.

21:56But the problem is that if you want

21:58a global infection fatality rate,

22:00you need to get seroprevalence studies from everywhere,

22:04even in places that don't necessarily

22:05have the infrastructure set up

22:07to produce very, very high quality studies.

22:09And in poor places in the world,

22:14places like Africa,

22:15the infection fatality rate is incredibly low.

22:20And in some richer places, like New York City,

22:23the infection fatality rate is much higher.

22:25There's a range of IFRs, not a single number.

22:30This sometimes surprises people,

22:32because they think, well, it's a virus,

22:34it should have the same properties no matter where it goes.

22:36But the virus kills or infects or hurts

22:42in interaction with the host.

22:44And the properties of both the host and the virus

22:47combine to produce the outcome.

22:50But you also mentioned the environment, too?

22:53Well, I'm thinking mainly just about the person.

22:55Like if I'm gonna think about it,

22:56the most simplest way to think about it is age.

22:58Age is the single most important risk factor.

23:01So older places are going to have a higher IFR

23:05than younger places.

23:07Africa, 3% of Africa is over 65.

23:10So in some sense, it's not surprising

23:12that they have a low infection fatality rate.

23:15So that's one way you would explain

23:16the difference between Africa and New York City

23:18in terms of the fatality rate, is the age, the average age?

23:22Yeah, and especially in the early days of the epidemic

23:24in New York City, the older populations

23:29living in nursing homes were differentially infected

23:33based on, because of policies that were adopted,

23:35to send COVID infected patients back to nursing homes

23:39to keep hospitals empty.

23:40What do you mean by differentially infected?

23:42The policy that you adopt determines who is most exposed.

23:47Right, okay.

23:48So that's what I mean by different.

23:49The policy, it's the person that matters.

23:52I mean, it's not like the virus just kind of doesn't care.

23:56I mean, the policy determines the nature of the interaction.

23:59And there's also, I mean, there is some contribution

24:01from the environment, different regions

24:04have different proximity maybe of people interacting

24:08or the dynamics of the way they interact.

24:10Yeah, like if you have situations

24:12where there's lots of intergenerational interactions,

24:17then you have a very different risk profile

24:19than if you have societies

24:21that are where generations are more separate

24:23from one another.

24:25Okay, so let me just finish real fast about this.

24:27So you have in New York, you have a population

24:32that was infected in the early days

24:34that was very likely going to die,

24:36had a much higher likelihood of dying if infected.

24:40And so New York City had a higher IFR,

24:43especially in the early days than like Africa has had.

24:49The other thing is treatment, right?

24:50So the treatments that we adopted

24:52in the early days of the epidemic,

24:54I think actually may have exacerbated the risk of death.

24:58Which treatments?

25:00Using ventilators, like the over reliance on ventilators

25:03is what I'm primarily thinking of,

25:04but I can think of other things.

25:06But that also we've learned over time

25:09how better to manage patients with the disease.

25:12So you have all those things combined.

25:14So that's where the controversy over this number is.

25:18I mean, New York City also is a central hub

25:23for those who tweet and those who write powerful stories

25:29and narratives in article form.

25:31And I remember those quite dramatic stories

25:34about sort of doctors in the hospitals

25:36and these kinds of things.

25:37I mean, there's very serious, very dramatic,

25:40very tragic deaths going on always in hospitals.

25:44Those stories, loved ones losing each other on a deathbed,

25:50that's always tragic.

25:52And you can always write a hell of a good story about that.

25:55And you should, about the loss of loved ones.

25:58But they were doing it pretty well, I would say,

26:01over this kind of dramatic deaths.

26:04And so in response to that, it's very unpleasant to hear,

26:09even to consider the possibility

26:11that the death rate is not as high as you might feel.

26:17Yeah, I was surprised by the reaction,

26:20both by regular people and also the scientific community

26:23in response to those studies,

26:25those early studies in April of 2020.

26:29To me, they were studies.

26:31I mean, they're the kinds of,

26:33not exactly the kinds of work I've worked on all my life,

26:35but kind of like the kind of, you write a paper

26:39and you get responses from your fellow scientists

26:42and you change the paper to improve it,

26:45you hopefully learn something from it.

26:47Well, but to push back, it's just a study.

26:50But there's some studies, and this is kind of interesting,

26:53because I've received similar pushback on other topics.

26:59There's some studies that, if wrong,

§04Transcript · 27:04–36:34

27:04might have wide ranging detrimental effects on society.

27:09So that's the way they would perceive the studies.

27:12If you say the death rate is lower,

27:13and you end up, as you often do in science,

27:16realizing that, nope, that was a flaw

27:19in the way the study was conducted,

27:21or we're just not representative of a broader population,

27:23and then you realize the death rate is much higher,

27:26that might be very damaging in people's view.

27:29So that's probably where the scientific community

27:33sort of just steel man the kind of response,

27:36is that's where they felt like,

27:40there's some findings where you better be damn sure

27:43before you kind of report them.

27:45Yeah, I mean, we were pretty sure we were right,

27:47and it turns out we were right.

27:48So we released the Santa Clara study

27:54via this open science process

27:56and this server called MedArchive.

27:59It's designed for releasing studies

28:02that have not yet been peer reviewed

28:03in order to garner comment from the scientists

28:06before peer review.

28:08The LA County study,

28:09we went through this traditional peer review process

28:12and got it published in the Journal

28:13of American Medical Association sometime in like July,

28:16I think, I forget the date, of 2020.

28:19The Santa Clara study released in April of 2020

28:22in this sort of working paper archive.

28:25The reason was that we felt we had an obligation,

28:28we had a result that we thought was quite important,

28:31and we wanted to tell the scientific community about it

28:35and also tell the world about it.

28:36And we wanted to get feedback.

28:38I mean, that's part of the purpose

28:39of sending it to these kinds of places.

28:42I think a lot of the problem is that

28:45when people think about published science,

28:47they think of it as automatically true.

28:50And if it goes through peer review,

28:51it's automatically true.

28:52If it hasn't gone through peer review,

28:53it's not automatically true.

28:54And especially in medicine,

28:56when we're not used to having this access

28:59to pre peer reviewed work.

29:03I mean, in economics, actually, that's quite normal.

29:05You takes years to get something published.

29:07So there's a very active debate over

29:10or discussion about papers before they're peer reviewed

29:13in this sort of working paper way,

29:16much less normal or much newer in medicine.

29:20And so I think part of that,

29:21the perception about what process happens in open science

29:26when you release a study, that got people confused.

29:29And you're right, it was a very important result

29:31because we had just locked the world down

29:33in middle of March with, I think, catastrophic results.

29:38And if that study was right, if our study was right,

29:41that meant we'd made a mistake.

29:44And not because the death rate was low,

29:45that's actually not the key thing there.

29:47The key thing is that we had adopted these policies,

29:51these test and trace policies,

29:53these policies, these lockdown policies

29:55aimed at suppressing the virus level to close to zero.

30:00That was essentially the idea.

30:01If we can just get the virus to go away,

30:04we won't have to ever worry about it again.

30:07The main problem with our result

30:09as far as that strategy was concerned wasn't the death rate,

30:11it was the 40 to 50 times more infections than cases.

30:14It was the 2.5% or 3% or 4% prevalence rate

30:19that we identified of the antibodies in the population.

30:23If that number is right, it's too late.

30:25The virus is not going to go to zero.

30:28And no matter how much we test and trace and isolate,

30:30we're not going to get the viral level down to zero.

30:34So we're gonna have to let the virus

30:36go through the entire population in some way or some other?

30:39We can talk about that in a bit.

30:41That's the Great Barrington Declaration.

30:42You don't have to let the virus go through the population.

30:44You can shield preferentially.

30:46The policy we chose was to shield preferentially

30:50the laptop class,

30:52the set of people who could work from home

30:54without losing their job.

30:56And we did a very good job at protecting them.

30:59Well, let me take a small tangent.

31:04We're gonna jump around in time,

31:06which I think will be the best way to tell the story.

31:09So that was the beginning.

31:10Yeah, okay, actually, can I go back one more thing for that?

31:13Because that's really important

31:14and I should have started with this.

31:17What led me to do those studies was a paper

31:22that I had remembered seeing

31:23from the H1N1 flu epidemic in 2009.

31:26This is where I've been much less active

31:28in writing about that.

31:29I had written like a paper or two about that in 2009.

31:34There was actually the same debate over the mortality rate,

31:38except it unfolded over the course of three years,

31:41two or three years.

31:43The early studies of the mortality rate in H1N1

31:47counted the number of cases in the denominator,

31:52counted the number of deaths in the numerator,

31:53cases meaning people identified as having H1N1,

31:56showing up the doctor, tested to have it.

32:00And the earliest estimates of the H1N1 mortality

32:04were like 4%, 3%, really, really high.

32:08Over the course of a couple of more years,

32:11a whole bunch of seroprevalence studies,

32:12seroprevalence studies of H1N1 flu came out.

32:15And it turned out that there were 100 or more times

32:20people infected per case.

32:23And so the mortality rate was actually something like 0.02%

32:27for H1N1, not the three, like 100 fold difference.

32:32So this made you think, okay,

32:34it took us a couple of two or three years

32:36to discover the truth behind the actual infections

32:40for H1N1, and then what's the truth here

32:43and can we get there faster?

32:45Yeah, and it spreads in a similar way as the H1N1 flu did.

32:49I mean, it spreads via solization,

32:51via person to person breathing, kind of contact up.

32:55It may be some by fomites, but it seems less likely now.

32:59In any case, it seemed really important to me

33:01to speed up the process

33:03of having those seroprevalence studies

33:05so that we can better understand who was at risk

33:09and what the right strategy ought to be.

33:12This might be a good place to kind of compare influenza,

33:17the flu, and COVID in the context of the discussion

33:20we just had, which is how deadly is COVID?

33:24So you mentioned COVID is a very particular

33:26kind of steepness, where the X axis is age.

33:32So in that context, could you maybe compare influenza

33:36and COVID, because a lot of people outside the folks

33:41who suggest that the lizards who run the world

33:45have completely fabricated and invented COVID,

33:48outside of those folks, kind of the natural process

33:51by which you dismiss the threat of COVID is, say,

33:54well, it's just like the flu.

33:55The flu is a very serious thing, actually.

33:58So in that comparison, where does COVID stand?

34:03Yeah, the flu is a very serious thing.

34:04It kills 50, 60,000 people a year,

34:07something I found out,

34:08depending on the particular strain that goes around,

34:11that's in the United States.

34:12The primary difference to me,

34:15there's lots of differences,

34:15but one of the most salient differences

34:17is the age gradient and mortality risk for the flu.

34:21So the flu is more deadly to children than COVID is.

34:26There's no controversy about that.

34:29Children, thank God, have much less severe reactions

34:34to COVID infection than they do to flu infections.

34:39And rate of fatalities and stuff like that.

34:41Rate of fatality, all of that.

34:42I think you mentioned,

34:44I mean, it's interesting to maybe also comment on,

34:47I think in another conversation you mentioned

34:48there's a U shape to the flu curve,

34:54so meaning there's actually quite a large number of kids

34:57that die from flu.

34:59Yeah, I mean, the 1918 flu, the H1N1 flu,

35:03the Spanish flu in the US killed millions of younger people.

35:09And that is not the case with COVID.

35:13More than, I'm gonna get the number wrong,

35:16but something like 70, 80% of the deaths

35:19are people over the age of 60.

35:21Well, we've talked about the fear the whole time, really.

35:24But my interaction with folks,

35:27now I wanna have a family, I wanna have kids,

35:30but I don't have that real firsthand experience,

35:32but my interaction with folks is at the core of fear

35:35that folks had is for their children.

35:39Like that somehow I don't wanna get infected

35:46because of the kids.

35:47Because God forbid something happens to the kids.

35:50And I think that obviously that makes a lot of sense

35:54this kind of the kids come first no matter what,

35:57that's number one priority.

35:58But for this particular virus,

36:02that reasoning was not grounded in data, it seems like,

36:05or that emotion and feeling was not grounded in data.

36:09But at the same time, this is way more deadly than the flu

36:12just overall, and especially to older people.

36:15Yes.

36:16Right, so.

36:17The numbers, when the story is all said and done,

36:21COVID would take many more lives.

36:24Yeah, so, I mean, 0.2 sounds like a small number,

36:27but it's not a small number worldwide.

36:29What do you think that number will be

36:31by the, you know, that's not like me,

§05Transcript · 36:34–46:40

36:34but would we cross, I think it's in the United States,

36:37it's the way the deaths are currently reported,

36:40it's like 800,000, something like that.

36:42Do you think we'll cross a million?

36:44Seems likely, yeah.

36:46Do you think it's something that might continue

36:49with different variants, what?

36:50Well, I think, so we can talk about the end state of COVID.

36:53The end state of COVID is it's here forever.

36:56I think that there is good evidence of immunity

37:01after infection, such that you're protected

37:05both against reinfection and also against

37:08severe disease upon reinfection.

37:11So the second time you get it, it's not true for everyone,

37:13but for many people, the second time you get it

37:15will be milder, much milder than the first time you get it.

37:18With the long tail, like that lasts for a long time.

37:22Yeah, so just, there are studies that follow, of course,

37:26people who are infected for a year,

37:28and the reinfection rate is something like

37:30somewhere between 0.3 and 1%.

37:33And like a pretty fantastic study out in Italy

37:36has found that, there's one in Sweden, I think,

37:38there's a few studies that have found similar things.

37:41And the reinfections tend to produce much milder disease,

37:46much less likely to end up in the hospital,

37:48much less likely to die.

37:50So what the end state of COVID is,

37:52it's circulating the population forever

37:54and you get it multiple times.

37:56Yeah, and then there's, I think, studies and discussions

38:00like the best protection would be to get it

38:04and then also to get vaccinated.

38:06And then a lot of people push back against that

38:08for the obvious reasons from both sides,

38:10because somehow the discourse has become

38:13less scientific and more political.

38:14Well, I think you wanna, the first time you meet it

38:18is gonna be the most deadly for you.

38:20And so the first time you meet it,

38:21it's just wise to be vaccinated.

38:22The vaccine reduces severe disease.

38:25Yeah, we'll talk about the vaccine,

38:27because I wanna make sure I address it carefully

38:30and properly and in full context.

38:35But yes, sort of to add to the context,

38:38a lot of the fascinating discussions we're having

38:40is in the early days of COVID

38:43and now for people who are unvaccinated.

38:46That's where the interesting story is.

38:49The policy story, the sociological story and so on.

38:52But let me go to something really fascinating

38:55just because of the people involved,

38:57the human beings involved,

38:59and because of how deeply I care about science

39:03and also kindness, respect and love and human things.

39:07Francis Collins wrote a letter in October 2020

39:12to Anthony Fauci and I think somebody else.

39:15I have the letter, oh, it's not a letter, email, I apologize.

39:20Hi, Tony and Cliff, cgbdeclaration.org.

39:29This proposal, this is the Great Barrington Declaration

39:32that you're a coauthor on.

39:34This proposal from the three fringe epidemiologists

39:38who met with the secretary

39:40seem to be getting a lot of attention

39:42and even a co signature from Nobel Prize winner,

39:45Mike Levitt at Stanford.

39:48There needs to be a quick and devastating

39:51published take down of its premises.

39:54I don't see anything like that online yet.

39:57Is it underway, question mark, Francis.

40:00Francis Collins, director of the NIH,

40:03somebody I talked to on this podcast recently.

40:06Okay, a million questions I wanna ask.

40:09But first, how did that make you feel

40:12when you first saw this email come to light,

40:17when did it come to light?

40:20This week, actually, I think, or last week.

40:22Okay, so this is because of freedom of information.

40:25Yeah.

40:26Which, by the way, sort of maybe,

40:30because I do wanna add positive stuff

40:32on the side of Francis here.

40:36Boy, when I see stuff like that,

40:37I wonder if all my emails leaked, how much embarrassing stuff.

40:43Like, I think I'm a good person,

40:45but I haven't read my old emails.

40:49Maybe, I'm pretty sure sometimes I could be an asshole.

40:53Well, I mean, look, he's a Christian,

40:54and I'm a Christian, I'm supposed to forgive, right?

40:57I mean, I think he was looking at this

41:01Great Barrington Declaration as a political problem

41:03to be solved, as opposed to a serious

41:07alternative approach to the epidemic.

41:09So maybe we'll talk about it in more detail,

41:12but just in case people are not familiar,

41:15Great Barrington Declaration was a document

41:18that you coauthored that basically argues

41:22against this idea of lockdown as a solution to COVID,

41:26and you propose another solution that we'll talk about.

41:29But the point is, it's not that dramatic of a document,

41:34it is just a document that criticizes

41:36one policy solution that was proposed.

41:38But it was the policy solution that had been put forward

41:41by Dr. Collins and by Tony Fauci,

41:44and a few other science, I mean, I think a relatively

41:48small number of scientists and epidemiologists

41:50in charge of the advice given to governments worldwide.

41:56And it was a challenge to that policy

42:00that said that, look, there is an alternate path,

42:02that the path we've chosen, this path of lockdown

42:06with the aim to suppress the virus to zero effectively,

42:09I mean, that was unstated.

42:11Cannot work and is causing catastrophic harm

42:14to large numbers of poor and vulnerable people worldwide.

42:19We put this out in October 4th, I think, of 2020,

42:23and it went viral.

42:25I mean, I've never actually been involved

42:27with anything like this,

42:28where I just put the document on the web,

42:31and tens of thousands of doctors signed on,

42:34hundreds of thousands of regular people signed on.

42:37It really struck a chord of people,

42:40because I think even by October of 2020,

42:41people had this sense that there was something really wrong

42:45with the COVID policy that we've been following.

42:48And they were looking for reasonable people

42:52to give an alternative.

42:52I mean, we're not arguing that COVID isn't a serious thing.

42:56I mean, it is a very serious thing.

42:57This is why we had a policy that aimed at addressing it.

43:03But we were saying that the policy we're following

43:05is not the right one.

43:06So how does a democratic government deal with that challenge?

43:12So to me, that, you asked me how I felt.

43:14I was actually, frankly, just,

43:16I suspected there'd been some email exchanges like that,

43:19not necessarily from Francis Collins,

43:21around the government around this time.

43:24I mean, I felt the full brunt of a propaganda campaign

43:29almost immediately after we published it,

43:31where newspapers mischaracterized it

43:34in the same way over and over and over again,

43:39and sought to characterize me

43:41as sort of a marginal fringe figure or whatnot.

43:45Sunetra Gupta, Martin Kulldorff,

43:47or the tens of thousands of other people that signed it.

43:50I felt the brunt of that all year long.

43:53So to see this in black and white,

43:56in the handwriting, essentially,

43:58I mean, the metaphorical handwriting of Francis Collins

44:01was actually, frankly, a disappointment,

44:02because I've looked up to him for years.

44:05Yeah, I've looked up to him as well.

44:07I mean, I look for the best in people,

44:12and I still look up to him.

44:15What troubles me is several things.

44:19The reason I said about the asshole emails

44:23I send late at night is I can understand this email.

44:28It's fear, it's panic, not being sure.

44:34The fringe, three fringe epidemiologists.

44:37Plus Mike Leavitt, who won a Nobel Prize, I mean.

44:40But using fringe, maybe in my private thoughts,

44:45I have said things like that about others,

44:47like a little bit too unkind.

44:50Like, you don't really mean it.

44:52Now, add to that, he recently, this week,

44:56whatever, doubled down on the fringe.

45:00This is really troubling to me,

45:02that I can excuse this email,

45:04but the arrogance there, Francis, honestly,

45:10I mean, broke my heart a little bit there.

45:12This was an opportunity to, especially at this stage,

45:16to say, just like I told him,

45:20to say I was wrong to use those words in that email.

45:23I was wrong to not be open to ideas.

45:27I still believe that this is not,

45:29like, say, like, actually argue with the proposal,

45:33with the policy, the proposed solution.

45:36Also, the devastating published,

45:41devastating takedown, devastating takedown.

45:45As you say, somebody who's sitting on billions of dollars

45:50that they're giving to scientists,

45:54some of whom are often not their best human beings

45:58because they're fighting with each other over money,

46:00not being cognizant of the fact

46:02that you're challenging the integrity,

46:06you're corrupting the integrity of scientists

46:08by allocating them money,

46:10you're now playing with that

46:13by saying devastating takedown.

46:15Where do you think the published takedown will come from?

46:19It will come from those scientists

46:21to whom you're giving money.

46:23What kind of example would they give

46:25to the academic community that thrives on freedom?

46:28Like, this is, I believe Francis Collins is a great man.

46:34One of the things I was troubled by

46:36is the negative response to him

46:38from people that don't understand

§06Transcript · 46:40–55:57

46:40the positive impact that NIH has had on society,

46:44how many people it's helped.

46:45But this is exactly the, so he's not just a scientist.

46:50He's not just a bureaucrat who distributes money.

46:53He's also a scientific leader

46:55that in difficult times we live in,

46:58is supposed to inspire us with trust,

47:01with love, with the freedom of thought.

47:04He's supposed to, you know those fringe epidemiologists?

47:08Those are the heroes of science.

47:10When you look at the long arc of history,

47:13we love those people.

47:15We love ideas, even when they get proven wrong.

47:18That's what always attracted me to science.

47:20Like somebody, the lone voice saying,

47:23oh no, the moon of Jupiter does move.

47:29But the funny thing is,

47:30Galileo was saying something truly revolutionary.

47:32We were saying that what we proposed

47:34in the Great Barbarian Declaration

47:35was actually just the old pandemic plan.

47:38It wasn't anything really fundamentally novel.

47:42In fact, there were plans like this

47:46that lockdown scientists had written

47:49in late February, early March of 2020.

47:52So we were not saying anything radical.

47:54We were just calling for a debate effectively

47:57over the existing lockdown policy.

48:00And this is a disappointment,

48:02a really, truly a big disappointment

48:04because by doing this, you were absolutely right, Lex.

48:08He sent a signal to so many other scientists

48:12to just stay silent, even if you had reservations.

48:15Yeah, devastating take down that people,

48:18you know how many people wrote to me privately,

48:21like Stanford, MIT,

48:23how amazing the conversation with Francis Collins was?

48:28There's a kind of admiration because,

48:31okay, how do I put it?

48:33A lot of people get into science

48:38because they wanna help the world.

48:40They get excited by the ideas

48:42and they really are working hard to help

48:46in whatever the discipline is.

48:47And then there is sources of funding

48:50which help you do help at a larger scale.

48:53So you admire the people that are distributing the money

48:58because they're often, at least on the surface,

49:01are really also good people.

49:02Oftentimes they're great scientists.

49:04So like, it's amazing.

49:06That's why I'm sort of,

49:10like sometimes people from outside

49:12think academia is broken some kind of way.

49:14No, it's a beautiful thing.

49:16It really is a beautiful thing.

49:17And that's why it's so deeply heartbreaking

49:19where this person is,

49:23I don't think this is malevolence.

49:26I think he's just incompetence of communication twice.

49:31I think there's also arrogance at the bottom of it too.

49:34But all of us have arrogance at the bottom.

49:36There's a particular kind of arrogance.

49:38So here it's of the same kind of arrogance

49:40that you see when Tony Fauci gets on TV

49:43and says that if you criticize me,

49:46you're not simply criticizing a man,

49:48you're criticizing science itself.

49:51That is at the heart also of this email.

49:55The certainty that the policies that they were recommending,

49:59Collins and Fauci were recommending

50:01to the president of the United States were right.

50:03Not just right, but right so far right

50:06that any challenge whatsoever to it is dangerous.

50:11And I think that is really the heart of that email.

50:13It's this idea that my position is unchallengeable.

50:19Now to be completely, to be as charitable as I can be

50:22to this, I believe they thought that.

50:25I believe some of them still think that,

50:27that there was only one true policy possible

50:31in response to COVID.

50:32Every other policy was immoral.

50:36And if you come from that position,

50:37then you write an email like that.

50:39You go on TV, you say effectively la science est moi, right?

50:42I mean, that is what happens

50:44when you have this sort of unchallengeable arrogance

50:47that the policy you're following is correct.

50:50I mean, when we wrote the Great Bank Declaration,

50:52what I was hoping for was a discussion

50:55about how to protect the vulnerable.

50:57I mean, that was the key idea to me in the whole thing

51:00was better protection of the older population

51:02who were really at really serious risk

51:04if infected with COVID.

51:06And we had been doing a very poor job, I thought,

51:08to date in many places in protecting the vulnerable.

51:12And what I wanted was a discussion by local public health

51:16about better methods, better policies

51:18to protect the vulnerable.

51:20So when we were met with instead a series

51:25of essentially propagandist lies about it.

51:27So for instance, I kept hearing from reporters in those days,

51:31why do you want to let the virus rip?

51:33Let it rip, let it rip.

51:34The words let it rip does not appear

51:37in the Great Bank Declaration.

51:40The goal isn't to let the virus rip.

51:42The goal is to protect the vulnerable,

51:45to let society go open schools and do other things

51:49that function as best it can

51:51in the midst of a terrible pandemic, yes,

51:54but not let the virus rip

51:56where the most vulnerable aren't protected.

51:58The goal was to protect the vulnerable.

52:00So why let it rip?

52:01Because it was a propaganda term

52:03to hit the fear centers of people's brains.

52:06Oh, these people are immoral.

52:08They just want to let the virus go through society

52:09and hurt everybody.

52:11That was the idea.

52:12It was a way to preclude a discussion

52:15and preclude a debate about the existing policy.

52:19So this is an app called Clubhouse.

52:23I've gone back on it recently to practice Russian,

52:28unrelated for a few big Russian conversations coming up.

52:32Anyway, it's a great way

52:33to talk to regular people in Russian.

52:35But I also, I was nervous.

52:37I was preparing for a Pfizer CEO conversation

52:40and there was a vaccine room and so I joined it.

52:43And it was a pro science room.

52:49These are like scientists

52:50that were calling each other pro science.

52:52The whole thing was like theater to me.

52:55I mean, I haven't thoroughly researched,

52:57but looking at the resume,

52:58they were like pretty solid researchers and doctors.

53:04And they were mocking everybody who was at all,

53:10I mean, it doesn't matter what they stood for,

53:11but they were just mocking people

53:13and the arrogance was overwhelming.

53:15I had to shut off because I couldn't handle

53:18that human beings can be like this to each other.

53:21And then I went back just to double check,

53:24is this really happening?

53:25How many people are here?

53:26Is this theater?

53:28And then I asked to come on stage on Clubhouse

53:31to make a couple of comments.

53:32And then as I opened my mouth, I said, thank you so much.

53:36This is a great room, sort of the usual civil politeness,

53:39all that kind of stuff.

53:41And I said, I'm worried that the kind of arrogance

53:47with which things are being discussed here

53:51will further divide us, not unite us.

53:55And before I said even the unite us, further divide us,

54:00I was thrown off stage.

54:02Now, this isn't why I mentioned platform,

54:04but like I am like Lex Friedman, MIT,

54:08also, which is something those people seem

54:11to sometimes care about, followers and stuff like that.

54:15Like, did you just do that?

54:18And then they said, enough of that nonsense.

54:21Enough of that nonsense.

54:22They said to me, enough of that nonsense.

54:27Somebody who is obviously interviewed, Francis Collins,

54:31is the Pfizer CEO.

54:35To bring you on, French epidemiologist also, so just.

54:37Yeah, exactly.

54:38But this broke my heart, the arrogance.

54:40And this is, echoes of that arrogance

54:43is something you see in this email.

54:44And I really would love to have a million things

54:47to talk about to try to figure out

54:48how can we find a path forward?

54:50I think a lot of the problems we've seen

54:54in the discussion over COVID,

54:57and especially in the scientific community,

54:59there's two ways to look at science, I think,

55:02that have been competing with each other for a while now.

55:05One way, and this is the way that I view science

55:08and why I've always found it so attractive,

55:10is an invitation to a structured discussion

55:14where the discussion is tempered by evidence,

55:18by data, by reasoning and logic, right?

55:22So it's a dialectical process where if I believe A

55:25and you believe B, well, we talk about it.

55:29We come up with an experiment

55:30that distinguishes between the two.

55:32And while B turns out to be right,

55:34I'm all frustrated, but I buy you dinner

55:37and I say, no, no, no, no, C.

55:38And then we go on from there, right?

55:40That's what science is at its best.

55:43It's this process of using data in discussion.

55:46It's a human activity, right?

55:48To learn, to have the truth unfold itself before us.

55:54On the other hand, there's another way

§07Transcript · 55:57–1:05:00

55:57that people have used science or thought about science

55:59as truth in and of itself, right?

56:03Like if it's science, therefore it's true automatically.

56:07And what does the science say to do?

56:10Well, the science never says to do anything.

56:12The science says, here's what's true.

56:13And then we have to apply our human values to say,

56:17okay, well, if we do this, then this is likely to happen.

56:21That's what the science says.

56:23If we do that, then that is likely to happen.

56:25Well, we'd rather have this than that, right?

56:27But science doesn't tell us

56:29that we'd rather have this than that.

56:30It's our human values that tell us

56:31that we'd rather have this than that.

56:32Science plays a role, but it's not the only thing.

56:36It's not the only role.

56:36It's like, it helps understand the constraints we face,

56:40but it doesn't tell us what to do

56:41in face of those constraints.

56:43But underneath it, at the individual level,

56:45at the institutional level,

56:46it seems like arrogance is really destructive.

56:52So the flip side of that, the productive thing is humility.

56:55So sort of always not being sure that you're right.

57:03This is actually kind of,

57:05Stuart Russell talks about this for AI research.

57:07How do you make sure that AI,

57:09super intelligent AI doesn't destroy us?

57:11You built in a sort of module within it

57:15that it always doubts its actions.

57:18Like, it's not sure.

57:20Like, I know it says I'm supposed to destroy all humans,

57:23but maybe I'm wrong.

57:24And that maybe I'm wrong is essential for progress,

57:27for actually doing in the long arc of history better,

57:30not the perfect thing,

57:31but better and better and better and better.

57:33I mean, the question I have here for you is this,

57:37this email so clearly captures some maybe echo,

57:41but maybe a core to the problem.

57:44Do you put responsibility of this email,

57:47of the shortcomings and failures

57:49on individuals or institutions?

57:52Is this Francis Collins, Anthony?

57:53No, this is an institutional failure, right?

57:55So the NIH, so I've had two decades of NIH funding.

57:59I've sat on NIH review panels.

58:01The purpose of the NIH is what you said earlier, Lex.

58:03The purpose of the NIH is to support the work of scientists.

58:08To some extent, it's also to help scientists,

58:10to direct scientists to work on things

58:12that are very important for public health

58:14or for the health of the public.

58:17So, and the way you do that is you say,

58:18okay, we're gonna put $50 million

58:21on the research in Alzheimer's disease this year

58:24or $70 million on HIV or whatever it is, right?

58:27And that pot of money then scientists compete

58:30with each other for the best ideas to use it

58:33to address that problem.

58:36So it's essentially an endeavor

58:38to support the work of scientists.

58:40It is not in and of itself a policy organ.

58:45It doesn't say what public health policy should be.

58:48For that, you have the CDC and what happened

58:53during the pandemic is that people in the NIH

58:58were called upon to contribute

59:01to public health policymaking.

59:04And that created the conflict of interest

59:06you see in that email, right?

59:09So now you have the head of the NIH in effect saying

59:13to all scientists, you must agree with me

59:17in the policy that I've recommended

59:20or else you're a fringe.

59:23That is a deep conflict of interest.

59:25It's deep because first he's conflicted.

59:27He has this dual role as the head of the NIH,

59:31supporter of scientific funding

59:33and then also inappropriately called

59:35to set or help set pandemic policy.

59:39That should never have happened.

59:40There should be a bright line between those two roles.

59:44Let me ask you about just Francis Collins.

59:47I had a chance to talk to him on a podcast.

59:49I don't know if you maybe by chance

59:51gotten a chance to hear a few words.

59:52I heard some of it, yeah.

59:54Well, I have kind of a question to that

59:56because a lot of people wrote to me quite negative things

60:01about Francis Collins and like I said,

60:03I still believe he's a great man and a great scientist.

60:09One of the things when I talked to him off mic

60:13about the vaccine,

60:16the excitement he had about when we were recollecting

60:21when they first gotten an inkling

60:23that it's actually going to be possible to get a vaccine,

60:26just he wasn't messaging,

60:28just in the private or of our own conversation,

60:31he was really excited and why was he excited?

60:34Because he gets to help a lot of people.

60:36This is a man that really wants to help people

60:40and there could be some institutional self delusion,

60:43the arrogance, all those kinds of things

60:45that lead to this kind of email.

60:47But ultimately the goal is this,

60:49I don't think people quite realize this.

60:51The reason he would call you a fringe epidemiologist,

60:55the reason there needs to be a devastating published

60:58take down, he, I believe really believes

61:01that it could be very dangerous

61:05and it's a lot of burden to carry on his shoulders

61:09because like you said, in his role

61:11where he defines some of the public policy,

61:16depending on how he thinks about the world,

61:19millions of people could die

61:20because of one decision he make.

61:22And that's a lot of burden to walk with.

61:24Yeah, no, I think that's right.

61:25I don't think that he has bad intentions.

61:29I think that he was basically put,

61:31was put or maybe put himself in a position

61:34where this kind of conflict of interest

61:38was going to create this kind of reaction, right?

61:42The kind of humility that you're calling for

61:44is almost impossible when you have that dual role

61:48that you shouldn't have as funder of science

61:51and also setter of scientific policy.

61:53I agree with everything you just said,

61:54except the last part.

61:55The humility is almost impossible.

62:00Humility is always difficult.

62:01I think there's a huge incentive

62:04for humility in that position.

62:06Now look at history.

62:08Great leaders that have humility are popular as hell.

62:14So if you like being popular,

62:16if you like having impact, legacy,

62:19these descendants of ape seem to care about legacy,

62:22especially as they get older in these high positions.

62:25I think the incentive for humility is pretty high.

62:28Well, the thing is there's a lot

62:30that he has to be proud of in his career.

62:32I mean, the Human Genome Project

62:34wouldn't have happened without him.

62:36And he is a great man and a great scientist.

62:39So it is tragic to me that his career

62:41has ended in this particular way.

62:44Can I ask you a question

62:46about my podcast conversation with him?

62:50By way of advice or maybe criticism,

62:54there's a lot of people that wrote to me

62:56kind words of support and a lot of people

63:00that wrote to me respectful, constructive criticism.

63:03How would you suggest to have conversations

63:06with folks like that?

63:07And maybe, I mean,

63:11because I have other conversations like this,

63:12including I was debating whether to talk to Anthony Fauci.

63:17He wanted to talk.

63:19And so what kind of conversation do you have?

63:22And sorry to take us on a tangent,

63:24but almost from an interview perspective

63:27of how to inspire humility and inspire trust in science

63:31or maybe give hope that we know what the heck we're doing

63:34and we're gonna figure this out?

63:35I mean, I think you're,

63:38I've had been now interviewed by many people.

63:41I think the style you have really works well, Lex.

63:44You have to,

63:45because I don't think you're gonna be ever an attack dog

63:48trying to go after somebody and force them to like,

63:53sort of admit that they were wrong or whatever about,

63:55I mean, I also actually find that form of journalism

63:58and podcasting really off putting.

64:00It's hard to watch.

64:02Also, it's a whole other tangent.

64:04Is that actually effective?

64:05I don't think so.

64:06Do you wanna ask Hitler,

64:09and I think about this a lot, actually interviewing Hitler.

64:11I've been studying a lot about the rise and fall

64:13of the Third Reich.

64:15I think about interviewing Stalin.

64:16Like I put myself in that mindset,

64:18like how do you have conversations with people

64:22to understand who they are so that,

64:24not so you can sit there and yell at them,

64:28but to understand who they are

64:29so that you can inspire a very large number of people

64:32to be the best version of themselves

64:33and to avoid the mistakes of the past.

64:36I believe that everyone that's involved in this debate

64:39has good intentions.

64:41They're coming at it from their points of view.

64:44They have their weaknesses.

64:48And if you can paint a picture in your questioning

64:50by sympathetic questioning of those strengths and weaknesses

64:55and their point of view, you've done a service.

64:57That's really all I personally like to see

§08Transcript · 1:05:00–1:14:27

65:00in those kinds of interviews.

65:02I don't think a gotcha moment is really the key thing there.

65:06The key thing is understanding where they're coming from,

65:09understanding their thinking,

65:10understanding the constraints they faced

65:12and how did they manage them.

65:14That's gonna provide a much,

65:15I mean, to me, that's what I look for

65:17when I listen to podcasts like yours,

65:19is an understanding of that person and the moment

65:24and how they dealt with it.

65:26I mean, I guess the hope is to discover in a sympathetic way

65:30a flaw in a person's thinking together.

65:33Like as opposed to discovering the positive thing together,

65:37you discover the thing, well,

65:39I didn't really think about that.

65:40Yeah, I mean, that's how science is, right?

65:42That's why we find it so attractive is this,

65:46I like it when a student shows me I'm thinking incorrectly.

65:51Right, I'm really grateful to that student

65:53because now I have an opportunity to change my mind about it

65:57and then start thinking even more correctly.

65:58I mean, and there are moments when,

66:02I mean, like this is probably a good time to say

66:05like what I think I got wrong during the pandemic, right?

66:07So like for instance, you said Francis Collins had a moment

66:10when he learned that there was quite possible

66:14to get a vaccine going.

66:16He must've learned that quite early.

66:19And I didn't learn that early.

66:21I mean, I didn't know, in March of 2020,

66:25in my experience with vaccine development,

66:28it would've take, I thought it would take a decade or more

66:30to get a vaccine.

66:33That was wrong, right?

66:34I didn't, and I was so happy

66:38when I started to see the preliminary numbers

66:40in the Pfizer trial that strongly suggested

66:43it was going to work.

66:46And I was, I mean, like very few times in my life

66:49I'm so happy to be wrong.

66:50And it changes kind of, I think I've heard you mention

66:55that a lockdown is still a bad idea

66:58unless the vaccine comes out in like tomorrow.

67:01There's still like suffering and economic pain,

67:05all kinds of pain can still happen

67:07in even just a scale of weeks versus months.

67:13Yeah.

67:14Well, let's talk about the vaccine.

67:16What are your thoughts on the safety and efficacy

67:18of COVID vaccines at the individual and the societal level?

67:22So for the vaccine safety data,

67:26it's actually challenging to convey to the public

67:30how this is normally done.

67:31Like normally you would do this in the context of the trial,

67:34you'd have a long trial with large numbers,

67:37relatively large numbers of people,

67:38you'd follow them over a long time

67:40and the trial will give you some indication

67:42of the safety of the vaccine.

67:43And it did, I mean, but the trial,

67:47the way it was constructed, when it came out

67:51that it was protective against COVID,

67:52it was no longer ethical to have a placebo arm.

67:56And so that placebo arm was vaccinated, large part of it.

68:00And so that meant that from the trial,

68:02you were not going to be able to get data

68:05on the longterm safety profiles of the vaccine.

68:09And also the other thing about trials,

68:10although there's tens of thousands of people enrolled,

68:13that's still not enough to get

68:14when you deploy a vaccine at population scale,

68:18you're gonna see things that weren't in the trial,

68:21guaranteed, populations of people

68:23that weren't represented well in the trial

68:25are gonna be given the vaccine

68:27and then they're gonna have things that happen to them

68:29that you didn't anticipate.

68:32So I wasn't surprised when people were a little bit

68:35skeptical when the trial was done about the safety profile,

68:38just the way the nature of the thing was gonna make it

68:40so that it was gonna be hard to get a complete picture

68:43from the trials itself.

68:45And the trial showed they were pretty safe

68:47and quite effective at preventing both you

68:51from getting COVID,

68:52like I said, I think the main endpoint of the trial itself

68:54was a symptomatic COVID, right?

68:57So that was like, that was, I mean, it was really to me,

69:03like it was about as amazing achievement as anything,

69:06organizing a trial of that scale and running it so quickly.

69:10And the final results being so surprisingly high.

69:14So good, right?

69:16And so, but the problem then was,

69:20normally it would take a long time,

69:23the FDA would tell Pfizer to go back

69:25and try it in this subgroup,

69:27they'd work more on dosing,

69:28they do all these kinds of things

69:31that kind of didn't, we really didn't have time for

69:33in the middle of the pandemic, right?

69:34So you have a basis for approval that it's less full

69:40than normally you would have for a population scale vaccine.

69:44But the results were good, the results looked really good.

69:47And actually, I should say for the most part,

69:49that's been born out when we've given the vaccine at scale

69:53in terms of protection against severe disease, right?

69:56So people who have got the vaccine

69:59for a very long time after they've had

70:01for the full vaccination have had great protection

70:04against being hospitalized and dying if they get COVID.

70:08Let's separate, because this seems to be,

70:11there's critics of both categories, but different.

70:16Kids and kids, not older people,

70:20like let's say five years old and above or something,

70:24or 13 years old and above.

70:26So for those, it seems like the reduction

70:31of the rate of fatalities and serious illness

70:35seems to be something like 10X.

70:38I mean, for older people, it is a godsend, this vaccine.

70:42It transforms the problem of focus protection

70:47from something that's quite challenging,

70:49possible, I believe, but quite challenging

70:50to something that's much, much more manageable.

70:53Because the vaccine in and of itself when deployed

70:56in older populations is a form of focus protection.

71:00Yes, by the way, we'll talk about the focus protection

71:03in one segment, because it's such a brilliant idea

71:05for this pandemic or for future pandemics.

71:08I thought the sociological, psychological discussion

71:11about the letter from Francis Collins is,

71:15because it was so recent, it has been so troubling to me,

71:17so I'm glad we talked about that first.

71:20But so there seems to be, the vaccines work

71:24to reduce deaths, and that has especially

71:29the most transformative effects for the older folks.

71:33I've told you one thing that I got wrong in the pandemic.

71:35Let me tell you the second thing I got wrong,

71:36for sure, in the pandemic.

71:38In January of this year, 2021,

71:43I thought that the vaccines would stop infection.

71:48Yes.

71:48Right, it would make it so that you were much less likely

71:51to be infected at all, because the antibodies

71:55that were produced by the vaccines

71:56looked like they were neutralizing antibodies

71:58that would essentially block you from being infected at all.

72:01That turned out to be wrong, right?

72:06So I think, and it became clear as data came out

72:10from Israel, which vaccinated very early,

72:12that they were seeing surges of infection,

72:14even in a very highly vaccinated population,

72:17that the vaccine does not stop infection.

72:21So you're a used car salesman,

72:24and you were selling the vaccine,

72:26and the features you thought a vaccine would have,

72:28I mean, I have a similar kind of sense

72:30when the vaccine came out.

72:31Vaccine would reduce, if you somehow were able to get it,

72:37it would reduce rate of death and all those kinds of things,

72:40but it would also reduce the chance of you getting it,

72:44and if you do get it, the chance of you transmitting it

72:47to somebody else.

72:48And it turns out that those latter two things

72:52are not as definitive, or in fact,

72:55I mean, I don't know to which degree they're not there at all.

72:57I think it's a little complicated,

72:59because I think the first two or three months

73:01after you're fully vaccinated, after the second dose,

73:04you have 60, 70% efficacy peak against infection.

73:10So that, which is pretty good, I mean, right?

73:12But by six, seven, eight months, that drops to 20%.

73:16Some places, some studies, like there's a study

73:19out of Sweden that suggests it might even drop to zero.

73:21But, and then you're also infectious

73:23for some period of time, if you do get it,

73:25even though you're vaccinated.

73:27Correct.

73:27It seems to be lucidated that the period of time

73:30your infectious is shorter.

73:31Is shorter, but the infectivity per day is about as high.

73:36So you still, the point is that the vaccine

73:39might reduce some risk of infecting others,

73:41but it's not a categorical difference.

73:44So, it's not safe to be in the presence

73:49of just vaccinated people.

73:51You can still get infected.

73:53Right, so, I mean, there's a million things

73:56I wanna ask here, but is there in some sense

73:59because the vaccine really helps

74:04on the worst part of this pandemic,

74:06which is killing people.

74:08Yes.

74:09Doesn't that mean, where does the vaccine hesitancy

74:14come from in terms of, it seems like,

74:17obviously a vaccine is a powerful solution

74:20to let us open this thing up.

74:22Yeah, so I wrote a Wall Street Journal op ed

74:24with Sunetra Gupta in December of last year.

74:26Yes.

§09Transcript · 1:14:27–1:23:27

74:27A very night with a very naive title,

74:29which says we can end the lockdowns in a month.

74:32And the idea is very simple.

74:33Vaccinate all vulnerable people

74:39and then open up.

74:40Open up.

74:41Right, and the idea was that the lockdown harms,

74:44this is directly related to the Great Barrington Declaration.

74:47Great Barrington Declaration said the lockdown harms

74:49are devastating to the population at large.

74:53There's this considerable segment of people

74:55that are vulnerable, protect them.

74:58Well, with the vaccine, we have a perfect tool

75:00to protect the vulnerable, which is, I still believe,

75:02I mean, it's true, right?

75:04You vaccinate the vulnerable, the older population,

75:07and as you said, there's a tenfold decrease

75:09in the mortality risk from getting infected,

75:13which is, I mean, amazing.

75:14So that was the strategy we outlined.

75:17What happened is that the vaccine debate got transformed.

75:20So first there's, so you're asking about vaccine hesitancy.

75:22I think first there's the inherent limitations

75:27of how to measure vaccine safety, right?

75:29So we talked about a little bit about the trial,

75:31but also after the trial, there's a mechanism,

75:35and this is the work I've been involved with before COVID,

75:37on tracking and identifying and checking

75:42whether the vaccines actually are safe.

75:43And the central challenge is one of causality.

75:47So you no longer have the randomized trial,

75:50but you wanna know is the vaccine,

75:52when it's deployed at scale, causing adverse events.

75:57Well, you can't just look at people who are vaccinated

76:00and see what adverse events happen,

76:02because you don't know what would have happened

76:03if the person had not been vaccinated.

76:06So you have to have some control group.

76:09Now, what happened is there's several systems

76:12to check this that the CDC uses.

76:14One very commonly known one now is called VAERS,

76:18the Vaccine Adverse Event Reporting System.

76:20There, anyone who has an adverse event,

76:23either a regular person or a doctor can just go report,

76:26look, I had the vaccine and two days later I had a headache

76:28or whatever it is, the person died

76:32a day after I had the vaccine, right?

76:34Now, the vaccine was rolled out to older people first,

76:38and older people die sometimes with or without the vaccine.

76:42So sometimes you'll see someone's vaccinated

76:44and a few days later they die.

76:46Did the vaccine cause it or something else cause it?

76:48Really difficult to tell.

76:50In order to tell, you need a control group.

76:53For that, there are other systems the FDA and CDC have,

76:58like there's one called VSD, Vaccine Safety Datalink.

77:02There's another system called BEST,

77:05I forget what the acronym is,

77:06to essentially to track cohorts of people,

77:11vaccinated versus unvaccinated,

77:13with as careful of matching as you can do.

77:15It's not randomized,

77:17and then see if you have safety signals

77:21that pop up in the vaccinated

77:23relative to the control group unvaccinated.

77:27And so that's, for instance,

77:28how the myocarditis risk was picked up

77:32in especially young men.

77:34It's also how the higher risk of blood clots

77:38in middle age and older women

77:41with the J&J vaccine was picked up.

77:43There, what you have are situations

77:46where the baseline risk of these outcomes are so low

77:50that if you see them in the vaccinated arm at all,

77:54that it's not hard to understand that the vaccine did this.

77:57Young men should not be having myocarditis.

78:00Middle age women should not be having

78:02huge blood clots in the brain.

78:04So when you see that, you can say it's linked.

78:05Now, the rates are low.

78:07So young men, maybe one in 5,000,

78:09one in 10,000 of the vaccine,

78:11vaccine related myocarditis, pericarditis.

78:14Young women, middle age women, I don't know.

78:17I'm not sure what the right number might be,

78:19but like I'd say, it's like one in hundreds of thousands,

78:23something like that.

78:26So these are rare outcomes,

78:27but they are vaccine linked outcomes.

78:30How do you deal with that as a messaging thing?

78:33I think you just tell people.

78:35You tell people here are the risks.

78:36You transparently tell them.

78:37And just, you're not,

78:38so they're not getting into something that they don't know.

78:41And don't treat people like they're children

78:45and need to be told lies

78:47because they won't understand

78:48the full complexity of the truth.

78:50People, I think, are pretty good at,

78:54or actually, people with time are good at understanding data,

78:59but better than anything.

79:01They're better at,

79:04they're extremely good at detecting arrogance and bullshit.

79:08And you give them either one of those.

79:10I mean, I'll give you one

79:11that's where I think it's greatly undermined vaccine,

79:14greatly undermined the demand for the vaccine,

79:16is this weird denial that if you recover from COVID,

79:20you have extremely good immunity,

79:24both against infection and access to disease.

79:27And that denial leads to people distrusting the message

79:31given by like the CDC director, for instance,

79:33in favor of the vaccine, right?

79:35Why would you deny a thing that's such an obvious fact?

79:39Like you can look at the data and it just,

79:42I mean, it just pops out at you

79:43that people that are COVID recovered

79:45are not getting infected again at very high rates,

79:48much lower rates.

79:50After these kinds of conversations,

79:53I'm sure after this very conversation,

79:55I often get a number of messages from Joe, Joe Rogan,

79:59and from Sam Harris, who to me are people I admire,

80:03I think are really intelligent, thoughtful human beings.

80:06They also have a platform.

80:08And I believe, at least in my mind,

80:11about this COVID set of topics,

80:14they represent a group of people.

80:19Each group has smart, thoughtful,

80:25well intentioned human beings.

80:27And I don't know who is right,

80:30but I do know that they're kind of tribal a little bit,

80:36those groups.

80:37And so the question I wanna ask is like,

80:41what do you think about these two groups

80:45and this kind of tension over the vaccine

80:49that sometimes it just keeps finding different topics

80:54on which to focus on,

80:55like whether kids should get vaccinated or not,

80:57whether there should be vaccine mandates or not,

81:00which seem to be often very kind of specific policy

81:03kinds of questions that miss the bigger picture.

81:06I think it's a symptom of the distrust

81:08that people have in public health.

81:10I think this kind of schism over the vaccine

81:13does not happen in places

81:15where the public health authorities

81:16have been much more trustworthy, right?

81:18So you don't see this vaccine

81:20hasn't seen Sweden, for instance.

81:23What's happened in the United States

81:25is that the vaccine has become first because of politics,

81:30but then also because of the scientific arrogance,

81:33this sort of touchstone issue,

81:35and people line up on both sides of it,

81:37and the different language you're hearing

81:39is structured around that.

81:40So before the election, for instance,

81:42I did a testimony in the House

81:46on measurement of vaccine safety.

81:49And I was invited by the Republicans.

81:52There were, I think, four other experts

81:54invited by the Democrats,

81:55or three other experts invited by Democrats,

81:57each of whom had a lot of experience

81:59in measuring vaccine safety.

82:00I was really surprised to hear them each doubt

82:04whether the FDA would do a reasonable job

82:06in assessing vaccine safety,

82:08including by people who have long records

82:11of working with the FDA.

82:12I mean, these are professionals, great scientists,

82:17whose main sort of goal in life

82:19is to make sure that unsafe vaccines

82:22don't get released into the world.

82:24And if they are, they get pulled.

82:26And they're casting down on the vaccine

82:28the ability to track vaccine safety before the election.

82:32And then after the election,

82:34the rhetoric switched on a dime, right?

82:38All of a sudden, it's Republicans that are cast

82:40as if they're vaccine hesitant.

82:42That kind of political shift, the public notices.

82:46If all it takes is an election to change

82:49how people talk about the safety of the vaccine,

82:51well, we're not talking science anymore,

82:53many people think, right?

82:54I think that created its hesitancy.

82:58The other thing I think,

82:59I think the hesitancy,

83:04some politicians viewed it as a political,

83:07as sort of like a political opportunity

83:10to sort of demonize people who are hesitant.

83:14And that itself fueled hesitancy, right?

83:16Like if you're telling me I'm a rube

83:18that just doesn't want the vaccine

83:19because I want everyone to die,

83:20well, I'm gonna react really negatively.

83:25And if you're talking down to me

§10Transcript · 1:23:27–1:32:50

83:27about my legitimate sort of concerns

83:32about whether this vaccine is safe to take,

83:34I mean, I've heard from women

83:36who were thinking about getting pregnant,

83:37should I take the vaccine?

83:38I don't know.

83:39I mean, there are all kinds of questions,

83:41legitimate questions that I think

83:44should have good data to answer

83:45that we don't necessarily have good data to answer.

83:47So what do you do in the face of that?

83:50Well, one reaction is to pretend

83:52like we know for a fact that it's safe

83:55when we don't have the data to know for a fact

83:57in that particular group

83:58with that particular set of clinical circumstances you know.

84:01And that I think breeds hesitancy.

84:03People can detect that bullshit.

84:06Whereas if you just tell people, you know, I don't know.

84:09Yeah, leave with humility.

84:10Yeah, you will end up with a better result.

84:14Let me ask you about,

84:15I've recently had a conversation with the Pfizer CEO.

84:19This is part therapy session, part advice,

84:24because again, I really want us to get through this together

84:29and it feels like the division is a thing

84:31that prevents us from getting through this together.

84:35And once again, just like with Francis Collins,

84:38a lot of people wrote to me words of support

84:43and a lot of people wrote to me words of criticism.

84:48I'm trying to understand the nature of the criticism.

84:53So some of the criticism had to do with against the vaccine

84:57and those kinds of things.

84:58That I have a better understanding of.

85:02But some kind of deep distrust of Pfizer.

85:07So actually looking at Big Pharma broadly,

85:13I'm trying to understand am I so naive

85:19that I just don't see it?

85:21Because yes, there's corrupt people and they're greedy,

85:26they're flawed in all walks of life.

85:29But companies do quite an incredible job

85:35of taking a good idea at the scale

85:37and making some money with that idea.

85:39But they are the ones that achieve scale on a good idea.

85:43I don't know, it's not obvious to me.

85:46I don't see where the manipulation is.

85:49So the fear that people have and I talked to Joe

85:53about this quite a bit.

85:55I think this is a legitimate fear

85:57and a fear you should often have

86:00that money has influenced,

86:01this proportional influence, especially in politics.

86:04So the fear is that the policy of the vaccine

86:10was connected to the fact that lots of money

86:13could be made by manufacturing the vaccine.

86:17And I understand that.

86:19And it's actually quite a heck of a difficult task

86:22to alleviate that concern.

86:24Like you really have to be a great man or woman or a leader

86:27to convince people that you're not full of shit,

86:30that you're not just playing a game on them.

86:32I don't know, it's a difficult task.

86:35But at the same time, I really don't like

86:38the natural distrust every billionaire,

86:41distrust everybody who's trying to make money

86:44because it feels like under a capitalistic system at least,

86:47the way to do a lot of good,

86:50like to do good at scale in the world

86:53is by being at least in part motivated by profit.

86:57I mean, I share your ambivalence, right?

86:59So on the one hand, you have a fantastic achievement.

87:02The discovery of the vaccine

87:06and then the manufacturing at scale

87:08so that billions of people can take the vaccine

87:12in a relatively short time.

87:14That is a remarkable achievement

87:15that could not have happened without companies like Pfizer.

87:20And on the other hand,

87:21there is this sort of corrupting influence of that money.

87:25Just to give you one example,

87:27there's an enormous controversy over whether

87:30relatively inexpensive repurposed drugs

87:32can be used to treat the disease.

87:38None of, no company like Pfizer

87:40has any interest whatsoever in evaluating it.

87:43Even Merck, I think it was Merck,

87:45that had the patent on ivermectin now expired,

87:50has no interest at all in checking to see if it works.

87:54Not only do they not have interest,

87:57they have a way of talking about people

88:01who might have a little bit of interest

88:04that's again.

88:06Fringe.

88:07Full of arrogance.

88:09Yeah.

88:10And that is what troubles me.

88:12Is there not a, it's back to the play of science.

88:15It's not, they're not a bit of curiosity.

88:17One, okay, one, the natural curiosity of a human being

88:20that should always be there and an open mind is.

88:23And second, in the case of ivermectin

88:25and other things like that,

88:27you have to acknowledge

88:28that there's a very large number of people

88:31who care about this topic.

88:33And this is a way to inspire them

88:36to also play in the space of science,

88:38to inspire them with science.

88:39You can't just like dismiss everybody

88:42that you can't just dismiss people, period.

88:45Yeah.

88:46Well, I mean, I think here, take ivermectin, right?

88:48There's actually a study funded by the NIH,

88:51by Tony Fauci's NIAID and the NIH

88:56called ACTIV6 that's a randomized trial of ivermectin.

89:02It's due to be completed in March, 2023.

89:07So normally when you have private actors

89:10like these big drug companies that have no interest

89:13in conducting some kind of scientific experiment

89:16that would have some public benefit,

89:18it's the job of the government,

89:20and in this case, the NIH to fund that kind of work.

89:24The NIH has been incredibly slow

89:29in its evaluations of these repurposed drugs.

89:32And it's been left to lots of other private activities

89:37of uneven quality.

89:39And hence, that's why you have these big fights.

89:42Because the data are not solid,

89:44you're gonna have these big fights.

89:45Yeah, but also, okay, forget the process of science here,

89:50the studies, not enough effort being put into the studies,

89:53just the way it's being communicated about.

89:55Yeah, no, like to horse paste, I mean, come on.

89:57The FDA put a tweet out telling people who are like,

90:01they're taking ivermectin

90:02because they've heard good things about it

90:04and they're sick and they're desperate.

90:06And to call it horse paste, that was terrible.

90:09That was deeply irresponsible.

90:10My hope is grounded in the fact

90:13that young people see the bullshit of this,

90:16young PhD students, graduate students,

90:18young students in college,

90:20they see the less than stellar way

90:25that our scientific leaders

90:27and our political leaders are behaving,

90:29and then the new generation

90:30will not repeat the mistakes of the past.

90:33That is my hope, because that's the cool thing I see

90:36about young people is they're good at detecting bullshit

90:40and they don't want to be part of that.

90:43That's my hope in the space of science.

90:46Let me return to this idea

90:48of the Great Barrington Declaration,

90:50return to the beginning.

90:52So what are the basics?

90:54Can you describe what the Great Barrington Declaration is?

90:57What are some of the ideas in it?

90:58You mentioned focused protection.

91:01What are your concerns about lockdowns?

91:04Just paint the picture of this early proposal.

91:07Sure, so the Great Barrington Declaration,

91:09first, why is it called Great Barrington Declaration?

91:11It's such a great name.

91:14I mean, it's such an epic name,

91:16but the reason why it's called that is way less than epic.

91:20It was because the conference,

91:23which is organized by Martin Kulldorff,

91:25who was a professor at Harvard University,

91:27by a statistician, he actually designed the safety system,

91:33the statistical system that the FDA uses

91:36for tracking vaccine safety.

91:38He and I had met previously just the summer before,

91:43that summer, and he invited me

91:45to come to this small conference

91:47where he was inviting me and Sunetra Gupta,

91:50who is a professor of theoretical epidemiology at Harvard,

91:53sorry, at Oxford University.

91:54And I mean, I jumped at the chance

91:57because I knew that Martin and Sunetra

92:00were both smarter than me,

92:02and it would be fun to talk about

92:04what the right strategy would be.

92:07On the drive in, I didn't know what the name of the town was

92:10and I asked, they said it was Great Barrington,

92:13and I had it in the back of my head.

92:16Martin and I arrived a little early

92:17and we were writing an op ed about some of the ideas,

92:20I hope we'll get to talk about very soon,

92:22about focused protection and the right strategy.

92:25And when Sunetra arrived,

92:27we realized we'd actually come basically to the same place

92:30about the right way to deal with the epidemic.

92:34And I thought, well, why don't we write something

92:37like the Port Huron Statement,

92:39is what I had in the back of my head.

92:41And I'm like, well, what's the name of this town again?

92:43It was Great Barrington.

92:44Yeah, so it's not Barrington, it's Great Barrington.

92:47Which is fantastic, right?

§11Transcript · 1:32:50–1:42:51

92:50It's so over the top that it's perfect.

92:53It's literally like the Big Bang.

92:55There's something about these over the top fun titles

92:58that just really delivered the power.

93:01That's my main contribution was the title,

93:03the name Great Barrington Decorate.

93:05But yeah, so it was kind of a,

93:07so the idea is actually, well, the title is great.

93:12And I think that it was written in a very stylish way.

93:14It's less than a page, you can go look online and read it.

93:18It's written for, not for scientists,

93:21but for the general public

93:23so that people can understand the ideas really simply.

93:26But it is not actually a radical set of ideas.

93:29It actually represents the old pandemic plans

93:32that we've used for a century

93:35dealing with other similar pandemics.

93:38And it's twofold.

93:41First, let me talk about the science it rests on,

93:43and then I'll talk about the plan.

93:45The science actually, some of it we already talked about.

93:47There's this massive age gradient

93:49in the risk of COVID infection.

93:51Older people face much higher risk than younger people.

93:55The second bit of science is all,

93:57that's not controversial, right?

93:58Even if you think the IFR is 0.7 or 0.2,

94:01no matter what, everyone thinks,

94:03everyone agrees on this age gradient.

94:06The second bit of science is also not controversial.

94:09The lockdown focused policies that we've followed

94:13have absolutely devastating consequences

94:16on the health of the population.

94:20Let me just give you some examples.

94:21And this was known in October of 2020 when we wrote it.

94:24So the UN was sounding alarms

94:28that there would be tens of millions of people

94:31who would starve as a consequence

94:34of the economic dislocation caused by the lockdowns.

94:37And that's come to pass.

94:38Hundreds of thousands of children

94:40in places like South Asia dead from starvation

94:43as a consequence of lockdowns.

94:47The priorities like the treatment of patients

94:53with tuberculosis in poor countries stopped

94:57because of lockdowns.

95:00Childhood vaccinations of measles, mumps, rubella,

95:04DPT, diphtheria, so on, pertussis, tetanus,

95:07all those standard vaccination campaigns stopped.

95:11Tens of millions of children skipping these doses

95:15for diseases that are actually deadly for them.

95:19Is there, just on a small tangent,

95:22is it well understood to you what are the mechanisms

95:26that stop all those things because of lockdowns?

95:28Is it some aspect of supply chain?

95:30Is it just literally because hospital doors are closed?

95:34Is it because there's a disincentive to go outside

95:37by people even when they deeply need help?

95:40It's all of the above.

95:42But a lot of those efforts,

95:43especially those vaccination efforts are funded

95:46and run by Western efforts.

95:49Like Gavi is a, I think it's a Gates funded thing actually

95:53that provides vaccines for millions of kids worldwide.

95:57And those efforts were scaled back.

96:00Malaria prevention efforts.

96:02So in the developing world,

96:04it was a devastating effect, these lockdowns.

96:07There was also direct effects.

96:08Like in India, the lockdowns, when they first instituted,

96:13there was an order that 10 million migrant workers

96:16who live in big cities and they live hand to mouth,

96:19they buy coconuts, they sell the coconuts with the money,

96:23they buy food for themselves and coconuts

96:25for the next day to sell,

96:27walk back to their villages

96:29or go back to their villages overnight.

96:33So 10 million people walking back to their villages

96:35or taking a train back, 1,000 died on route.

96:39Overcrowded trains dying essentially on the side of the road.

96:42I mean, it was absolutely inhumane policy.

96:46And the lockdowns there,

96:50it's kind of like what's happened in the West as well,

96:53but it was so severe.

96:55There was a seroprevalence study done in Mumbai

96:58by a friend of mine at the University of Chicago.

97:00What he found was that in the slums of Mumbai,

97:03there were 70% seroprevalence in July or August of 2020,

97:08whereas in the rest of Mumbai, it was 20%, right?

97:12So it was incredibly unequal.

97:14The lockdowns protected the relatively well off

97:17and spread the disease among the poor.

97:22So that's in the developing world.

97:25In the developed world, the health effects of lockdowns

97:27were also quite bad, right?

97:31So we've talked already about isolation and depression.

97:34There was a study done in July of 2020

97:37that found that one in four young adults

97:41seriously considered suicide.

97:43Now, suicide rates haven't spiked up so much,

97:47but the depths of despair that would lead somebody

97:51to seriously consider suicide itself

97:53should be a source of great concern in public health.

97:57Yeah, this is one of the troubling things about measuring

98:01well being is we're okay at measuring death and suicide.

98:06We're not so good at measuring suffering.

98:08It's like people talk about maybe even Holodomor

98:14under Stalin or the concentration camps with Hitler.

98:19We talk about deaths, but we don't talk about the suffering

98:23over periods of years by people living in fear,

98:27by people starving, psychological trauma

98:30that lasts a lifetime, all of those things.

98:33I mean, and just to get back to that point,

98:36we closed schools, especially in blue states,

98:38we closed schools.

98:40Now, richer parents could send their kids

98:42to private schools, many of which stayed open

98:44even in the blue states.

98:45They could get pods, they could get tutors,

98:47but that's not true for poor and middle class parents.

98:51And as a result, what we did is we took away

98:54life opportunities for kids.

98:56We tried to teach five year olds to read via Zoom

98:59in kindergarten, right?

99:02And the consequence actually, you think, okay,

99:05we can just make it up, but it's really difficult

99:07to make that up.

99:08There's a literature in health economics that shows

99:12that even relatively small disruptions in schooling

99:18can have lifelong consequences, negative consequences

99:21for kids, right?

99:22So they end up growing up poorer, they lead shorter lives

99:27and less healthy lives as a consequence.

99:30And that's what the literature now shows is likely to happen

99:32with the interruptions of schooling that we had

99:35in the United States.

99:36Many European countries actually managed to avoid this.

99:39There were in the early days of the epidemic

99:40great indications that children first were not

99:43very severely at risk from COVID itself,

99:46nor are they super spreaders.

99:49Schools were not the source of community spread,

99:51communities spread the disease to schools,

99:54not the other way around.

99:57And we can talk about the scientific base of that

99:59if you'd like, but that was pretty well known

100:01even in October.

100:04We closed hospitals in order to keep them

100:07available to COVID patients, but as a result,

100:10women skipped breast cancer screening.

100:14As a result, they are showing up with late stage

100:16breast cancer that should have been picked up last year.

100:19Men and women skipped colon cancer screening,

100:21again, with later stage disease that should have been

100:24picked up last year with earlier stage.

100:26For patients with diabetes, it's very important

100:29to have regular screening for blood sugar levels

100:33and sort of counseling for lifestyle improvement.

100:36And we skipped that.

100:38People stayed home with heart attacks

100:39and died at home with heart attacks.

100:43So you had this like sort of wide range of medical

100:47and psychological harms that were being utterly ignored

100:51as a result of the lockdowns.

100:53Plus there's the economic pain.

100:57So like you said, whatever is a good term

101:00for the non laptop class, people would lose their jobs.

101:05Yes, there might be in the Western world support

101:07for them financially, but the big loss there

101:11that is perhaps correlated with depression and suicide

101:14is loss of meaning, loss of hope for the future,

101:19loss of kind of a sense of stability,

101:23all the pride you have in being able to make money

101:30that allows you to pave your own way in the world.

101:32And yes, just having less money than you're used to

101:35so your family, your kids are suffering,

101:37all those kinds of things.

101:38And there's, again, an economics literature on this,

101:41on deaths of despair it was called.

101:432009, there was the great recession.

101:45It led to an enormous uptake in overdose from drugs,

101:50suicidality, depression, as a result of the job losses

101:55that happened during the great recession.

101:57Well, that's happening again,

101:59like an enormous increase in drug overdoses.

102:03That's not an accident, that's a lockdown harm, right?

102:07Same thing with the job losses.

102:10The job losses, by the way, are like, it's so interesting

102:12because the states that stayed open

102:15have had much, much lower unemployment

102:18than the states that stayed closed.

102:20The labor force participation rates declined by 3%.

102:23It's women that separated

102:25because they stayed home with their kids.

102:28We've reversed a generation of women,

102:33improving women's participation in the labor force.

102:37Do you think it has to do with the institutions

102:41that we mentioned that there was so much priority given

102:44or so much power given to maybe NIH

102:48versus other civilian leaders?

§12Transcript · 1:42:51–1:51:47

102:51Or do people just not care about the economic pain?

102:54The leaders, I mean, because to me it was obvious.

102:59I mean, probably it's just studying history.

103:03Whenever I listen to people on Twitter

103:06or on mainstream news or just anything,

103:09I realize that's the very kind of top.

103:14The people that have a voice

103:17represent a tiny selection of people.

103:19And so whenever there's hard times,

103:21I always kind of think about the quiet, the voiceless,

103:27the quiet suffering of the tens of millions,

103:30of the hundreds of millions.

103:33Do the political leaders not just give a damn?

103:36I mean, I think it was actually a very odd ethical thing

103:39at the beginning of the pandemic

103:41where if you brought up economic harms at all,

103:44you were seen as callous.

103:47So I had a reporter call me up

103:50almost at the very beginning of the epidemic

103:51asking me about a very particular phenomenon.

103:56So he was anticipating a rise in child abuse

104:00because children were gonna be staying at home.

104:02Child abuse is generally picked up at school.

104:04And that actually happened.

104:06So the reported child abuse dropped,

104:08but actual child abuse increased

104:11because normally you pick up the child abuse at school

104:14and that you have the intervention, right?

104:16So yeah, so I was talking about like,

104:17well, there's gonna be some economic harms

104:19and they're gonna have health consequences,

104:20but the economic harms matter.

104:21But he counseled me.

104:24And I think he had my best interest at heart.

104:27Like if you were to put that in the story,

104:29I would be, I'd essentially be canceled.

104:31Because what the narrative that arose in March of 2020

104:36is if you care about money at all,

104:39you're evil and crass, you must only care about lives.

104:43The problem with that narrative is that that money,

104:46which we're talking about,

104:47is actually lives of poor people, right?

104:51When you throw 100 million people around the world

104:54into poverty, you're going to see enormous harm

104:58to their health, enormous increases in their mortality.

105:01It is not immoral to think about that and worry about that

105:04in the context of this pandemic response.

105:07Our mind focused so much on COVID that it forgot

105:11that there are so many other public health priorities as well

105:13that need our attention desperately.

105:16And this is the thing I sensed about San Francisco

105:21when I visited, I was thinking of moving there for a startup.

105:24This is the thing I'm really afraid of,

105:26especially if I have any effect on the world

105:30through a startup, is losing touch in this kind of way.

105:34That you mentioned the laptop class,

105:38living in this world where you're only concerned

105:40about this particular class of people.

105:44And also, perhaps early on in the pandemic,

105:48amongst the laptop class,

105:50there was a legitimate concern for health,

105:51like you're not sure how deadly this virus is.

105:55You're not sure who to listen to, so there's a real concern.

105:58And then at a certain point when the data starts coming in,

106:02you start becoming more and more detached from the data.

106:05You don't start caring less and less,

106:07and you start just swimming in the space of narratives,

106:10like existing in the space of narratives,

106:12and you have this narrative in San Francisco

106:15in the laptop class that you just are very proud

106:19that you know the truth,

106:21you're the sole possessors of the truth,

106:22you congratulate yourself on it,

106:25and you don't care what actually gigantic detrimental effect

106:28that has on society, because you're mostly fine.

106:34I'm so terrified of that.

106:36Well, actually, I think the antidote to that

106:38is just to remember.

106:39You remember.

106:40Yeah. Yeah.

106:41I don't think, you know, remember where you came from

106:44and remember who you're doing this for.

106:46At the back of your head should always be,

106:48what's the purpose?

106:49Like, why am I here?

106:50What's the purpose of this?

106:51And if the purpose is simply self aggrandizement,

106:56then you should rethink,

106:57because it'll just end up being a hollow life.

107:01All of us will be forgotten in the end.

107:04Focused protection, the idea, the policy,

107:08what is focused protection?

107:09Right, so I was saying that there's two scientific bases,

107:12right, so one is this steep age gradient,

107:15and the second is the existence of locked arms.

107:17Again, I think there's very little disagreement

107:19in the scientific community on both of those facts.

107:22If you put those facts together,

107:24the obvious policy is to protect the people

107:27who are at the most severe risk from the disease itself.

107:31And that's the idea of focused protection.

107:33That's the general principle of it.

107:35The actual implementation of it

107:37depends on the living circumstances

107:39of the people that are at risk,

107:41the resources that are available in the community,

107:44the technology that's available to do this.

107:49And so it's almost always going to be,

107:51in fact, it'll always be a local thing,

107:54because it'll depend on all of those things

107:58which are all local in nature.

108:00Right, so one very, very obvious thing,

108:02in a country like ours,

108:04where so many older people live in institutionalized settings

108:08and nursing home settings,

108:10and that's where older, really vulnerable,

108:13chronically ill patients often live,

108:16and you know this disease affects that group,

108:18most commonly, it is absolutely vital

108:21to protect that group.

108:23We should have known that in February 2020,

108:26just from the Chinese data.

108:30And we should have thought about that group

108:33as the key constraint in our policymaking.

108:38Instead, we thought about, in February and March 2020,

108:41as hospital beds as the key constraint.

108:44Hospital beds and ventilator shortages,

108:46and so we ran around trying to address

108:49that constraint, like a linear programming problem,

108:53you figure out which constraint's binding

108:55and you address that one thing

108:56and then you go on to the next one, right?

108:58If that one constraint,

109:00we said, okay, the constraint is hospital beds.

109:04That led to the decision in many of the Northeast states

109:08to send COVID infected patients who were on the verge

109:12or looked like they were about to recover

109:14back to nursing homes,

109:17who then spread the disease all through there,

109:19because they wanted to preserve the hospital beds.

109:21Well, for somebody who loves numerical optimization,

109:25I love the way you frame this.

109:27But those are kind of connected, right?

109:30If you actually focus on protecting the vulnerable,

109:33you will also have the effect

109:36of not hitting the ceiling of the available hospital beds.

109:40That's the irony.

109:41If we protected the vulnerable,

109:44the vulnerable are the most likely to be hospitalized,

109:47and so by protecting the hospital,

109:48by protecting the vulnerable,

109:49we will also have addressed the shortage of hospital beds

109:53more effectively.

109:53So that little shift in priority

109:55would have had a big impact.

109:57Okay, but specifically, the idea is to,

110:01and we could talk about different ideas

110:03of how to actually do this,

110:04but you basically do a lockdown or something like that

110:10on a very small set of people.

110:12You may have to do that

110:13if community spread is very high,

110:14but generally, I think it would depend on, again,

110:18the living circumstances and the,

110:20so for instance, if you are in a,

110:23if you have a, here's a very simple idea

110:25that doesn't require a lockdown forced on them.

110:28I don't actually generally,

110:29I'm not in favor of that kind of forced lockdown

110:31because you just won't get cooperation.

110:33But what you could do is provide resources

110:36to that group of people.

110:38So imagine you live next door to somebody, an older couple,

110:43and there's high community spread.

110:46Well, they have to go grocery shopping.

110:48We did like, some communities did these

110:50like senior only grocery hour, right?

110:53But they have to still have to go out

110:55and they might get exposed

110:56when they're shopping amongst other seniors.

110:59Well, why not organized home delivery of groceries to them?

111:03We did that for the laptop class, right?

111:06Or you can even just use a volunteer effort.

111:09The older people living next door,

111:10just call them up and say,

111:11can I help you go out and go shopping for you?

111:13And so you would have potentially federal support

111:16of that kind of thing.

111:17So these kinds of efforts.

111:19Identify where the vulnerable people live.

111:22It's really challenging in multigenerational homes.

111:24In LA County, for instance,

111:25there's a lot of older people living together

111:28with younger people in relatively crowded,

111:31there it's really quite a challenge.

111:34But there again, you can use resources.

111:35So if grandma is worried that grandson has come home,

111:40but is potentially been exposed,

111:42grandson calls grandma says, I mean,

111:43I might've been at a party where COVID was.

§13Transcript · 1:51:47–2:00:53

111:47Grandma calls public health, public health,

111:49and says, okay, you can have this hotel room

111:50for a couple of days until you check to turn negative.

111:54In case it wasn't clear,

111:56the idea of focused protection

111:58is the people that are vulnerable, protect them.

112:03And everybody else goes on with their lives,

112:06open up the economy, just do as it was before.

112:09There was still fear abroad.

112:10So there still would be some restrictions

112:12that people would pose on themselves.

112:14They probably would go to parties less.

112:15The grandsons probably wouldn't go so many parties, right?

112:19There would be less participation in big gatherings.

112:23And you may even say like big gatherings

112:25in order to restrict community spread again.

112:27I'm not against any of that,

112:29but you shouldn't be closing businesses.

112:31You shouldn't be closing churches and synagogues.

112:34You shouldn't be forcing people to not go to school.

112:38You should not be shuttering businesses.

112:41You should just allow society to go on.

112:44Some disease will spread, but as we've seen,

112:46the lockdown didn't stop the disease from spreading anyways.

112:50Right.

112:50So what do you make of the criticism that this idea,

112:54like all good ideas cannot actually be implemented

112:59in a heterogeneous society

113:01where there's a lot of people intermixing?

113:03And once you open it up,

113:06people like the younger people will just forget

113:09that this is even existing.

113:11And they'll stop caring about the older people

113:13and mess up the whole thing.

113:14And the government will not want to fund

113:16any kind of the great efforts you're talking about

113:18about food delivery and then the food delivery services

113:21be like, why the heck am I helping out on this anyway?

113:24Because like, it's not making me much money.

113:26And so therefore like all good ideas, it will collapse.

113:30That might be true.

113:31I mean, I think it's always a risk with policy thing,

113:34but I think if you think back to the moment,

113:37but we actually felt like we were in this together

113:39to some extent.

113:39Yes.

113:40Right, I think that that empathy that we had

113:44that was used to like tell people to stay in

113:48and like happily, not go in happily,

113:51but like stay in to like wear a mask

113:55or to do all these things that we thought

113:57would help other people could have been redirected

113:59to actually helping the people who most needed to be helped.

114:02Especially, I do remember March.

114:08So this is even way before Barrington,

114:10all that kind of stuff.

114:12March, April, May, there was a feeling like

114:16if we all just work together, we'll solve this.

114:20And that maybe started to, when did that start breaking down?

114:24I mean, unfortunately the election is mixed into this.

114:28That it became politicized.

114:30But I think it lasted quite a long time.

114:32I think into the summer,

114:33I think there was some of that sense.

114:36I don't know, it obviously varied among different people.

114:39But I think that it's true it would have been challenging.

114:42It's also true that it's heterogeneous,

114:44exactly the way you said.

114:46But what that means is you need a local response,

114:49a response, so like my vision of a public health officer

114:53is someone that understands their community,

114:56not necessarily the nation at large, but their community,

114:59and then works within their community

115:01to figure out how to deploy the resources

115:03that they have available

115:05to do the kind of protection policies we're talking about.

115:08That's what should have happened.

115:10Instead, they spent a huge amount of efforts

115:12closing, making sure businesses stayed closed.

115:15Businesses that, I mean,

115:17they're like hardware stores that closed.

115:20What good did closing a hardware store do

115:23for the spread of COVID?

115:24If it had an effect on COVID spread,

115:26I mean, it's gonna be March.

115:28Checking to make sure that plexiglass

115:30was put up everywhere,

115:31which now in retrospect turns out

115:32to have probably made the disease worse.

115:37Masking enforcement, so shaming around masks,

115:40I mean, a huge amount of effort on things

115:42that were only tangentially related to focus protection.

115:47What if we turned our energy,

115:49that enormous energy put into that,

115:52instead into focus protection of the vulnerable?

115:54That's essentially the conversation I was calling for.

115:57And it wasn't, I mean, I didn't think of it

115:59as we had every single idea.

116:01I mean, we gave some concrete proposals,

116:03but the criticism we got was that

116:05those concrete proposals weren't enough.

116:08And the answer to that is that's true.

116:10They weren't enough.

116:11I wasn't thinking of them as enough.

116:12I was thinking that I wanted to involve

116:15an enormous number of people in local public health

116:17to help think about how to do focus protection

116:20in their communities.

116:22The question that's interesting here is about the future too.

116:29So COVID has very specific characteristics,

116:32like you mentioned, about the curve of the death rate

116:36based on the, like it seems like with COVID,

116:39it's a little bit easier to actually identify

116:42a group of people that you need to protect.

116:45So other viruses may not be this way.

116:47So might lockdown be a good idea, like hardcore lockdown

116:53for a future virus that's 10 times deadlier,

116:57but spreads at the same rate as COVID?

116:59Or maybe another way to ask that is imagine a virus

117:02that's 10 times deadlier, what's the right response?

117:06I mean, I think it's always gonna be focus protection,

117:08but the group that needs the focus protection may change

117:12depending on the biology of the virus, right?

117:14So the polio epidemic in the 40s and 50s in the US,

117:18the great, the people at most risk were children.

117:23We didn't know really at the beginning

117:24there was this fecal oral spread.

117:27And so we did all kinds of crazy things,

117:30including like spraying DDT in communities,

117:33which somehow was supposed to get rid of polio.

117:37But the focus was on whenever there was an outbreak,

117:40they would close the school down.

117:42And that was the right thing to do

117:43because that group that needed protection was children.

117:48And the disease was spread, we thought in schools.

117:53I don't think there's a single formula that works,

117:56but there's a single principle that works, right?

117:59No matter, it's hard to imagine a disease

118:02that's uniformly deadly across every group

118:05in every single person.

118:07There's always gonna be some group

118:09that's differentially harmed.

118:13There's always gonna be some group

118:14that's differentially protected.

118:16And that may change over time, right?

118:17So like in this disease, in this epidemic,

118:23as people got infected and recovered,

118:25we now had a class of people

118:27that were pretty well protected against the disease.

118:30They should be, like instead of ostracizing them

118:34because they don't want a vaccine,

118:36we should be allowing them to work.

118:37I mean, we're having staffing shortages in hospitals now

118:41because we forgot that principle.

118:43Is quite a bit of this a technology problem?

118:46So being able to,

118:49how much of it is a sociological problem?

118:53How much of it is a technology problem?

118:56Like where do you put the blame

118:59sort of on why this didn't go so great

119:01and how it can go great in the beginning?

119:04I mean, think about lockdowns.

119:05Like if we didn't have Zoom,

119:06we wouldn't have lockdowns.

119:08There's a reason in 2009 we didn't lock down.

119:11I mean, we didn't have the technology to replace work

119:13with this remote technology.

119:17So we had good lockdown technology in Zoom.

119:21We didn't have good focus protection technology.

119:25Yeah, I mean, focus protection

119:26is always gonna be complicated,

119:27especially for something like this that spreads so easily,

119:29it's gonna be complicated.

119:30And I'm the last person to say it would have been perfect.

119:34There would have been people that would have gotten sick,

119:37but they got sick anyways.

119:39The hope was that if we suppress community spread

119:41low enough, we can protect the vulnerable.

119:44That was the hope by lockdown.

119:47The reality was that only a certain class of people

119:50were able to benefit from lockdown.

119:51The rest of society, we call them essential workers,

119:53had to keep working and they got sick.

119:56And the disease kept spreading.

119:58It didn't actually have a substantial effect

120:00on community spread in non laptop class populations.

120:05And also we should probably expand the class of people

120:08we call vulnerable to those who would suffer,

120:12who have the capacity to suffer,

120:15given the policies you're weighing.

120:19It's very disingenuous to call the vulnerable

120:22just the people, obviously we had the very specific meaning,

120:26but broadly speaking, vulnerable should include anybody

120:31who can suffer based on the policies you take

120:34in response to a virus.

120:36That principle you just said is completely agree with

120:39is something I think has been lost.

120:42And unfortunately lost, right?

120:44So the policies themselves, if they have harm,

120:49those are real and we shouldn't pretend like they're not.

§14Transcript · 2:00:53–2:10:27

120:53And essentially demonize the people that suffer them.

120:58Or pretend, I mean like a lot of times like the depression

121:01that we've been talking about,

121:02that's thought of as like not so important,

121:06but it is important.

121:08And especially the harm to the people in poor countries,

121:12it's like been out of sight, out of mind

121:14in much of the rich parts of the world.

121:16Once again, I've hoped that we seeing this,

121:20learning lessons of history with the communication tools

121:22who have now will learn this.

121:24It's like going to another country

121:26and bombing targeted terrorist locations,

121:29and there's going to be some civilians who die,

121:32pretending that the child who watches their dad die

121:37is not going to grow up, first of all, traumatized,

121:40but second of all, potentially bring more hate to the world

121:43than the hate that you were allegedly fighting

121:46in the first place.

121:47That's another sort of considering only one kind of harm

121:52and not the full range of harms

121:54that are being caused by your policies.

121:55You know, like the good return to focus protection,

121:59we still should be following the policy now for COVID

122:01and we're not, right?

122:03So the vaccines, there's a great shortage of vaccines.

122:06You wouldn't know it in the United States

122:08and the rich parts of the world,

122:09but there's a great shortage of vaccines.

122:11We're not going to be able to vaccinate the most of the,

122:15like the entire set of elderly at least,

122:17and or larger groups until late 2022.

122:20Huge numbers of older people around the world

122:24in poor countries that have not COVID recovered yet,

122:27so they're still quite vulnerable, have not had the vaccine.

122:30And yet we're talking about vaccinating five year olds

122:34who benefit, if at all, from the vaccines

122:37of just a very little bit

122:38because they face such a low risk of harm from COVID.

122:43Well, something that's a little bit near and dear

122:45to our specific, the two of our hearts.

122:49So you're at Stanford.

122:51So Stanford recently announced

122:53that they're going back to virtual,

122:55at least for some period of time in response to the,

122:59maybe you can clarify, but I think it's in response

123:01to the escalated, how would they phrase it?

123:05It's related to Omicron.

123:07And a few other universities are kind of like

123:12considering back and forth.

123:13In my perspective, as somebody who loves

123:16in person lectures, who sees the value of that

123:23to students, to young minds, also looking at the data,

123:28seems the risk aversion in university policies

123:36around this, given how healthy the student population is,

123:40seems not well calibrated.

123:44Let's put it this way.

123:44Also, pathological is one way to put it.

123:48Given that, I believe, depending on the university,

123:50but I think many universities require

123:53that the student body is vaccinated at this point.

123:57So I think it's a big mistake by Stanford to do this.

124:01And I'd like to say that because I just hope MIT doesn't.

124:07But what are your thoughts about Stanford?

124:09Is there a student?

124:10I completely agree with you.

124:11I think we have failed in our mission

124:14to educate our students by this decision.

124:18And I think, frankly, just more broadly,

124:20I think we failed generally over the course

124:22of the last year and a half in living up

124:24to our educational mission.

124:27In person teaching is vital.

124:31Now, I can understand, if you have older faculty,

124:35the principle of focus protection says,

124:37provide some alternative teaching arrangements for them.

124:40That makes sense to me.

124:42From the kid's point of view,

124:44they're more harmed by not getting the education

124:46we promised them than by COVID.

124:51So applying this principle of this focus protection,

124:54let young professors teach in person.

124:58This is before the vaccine.

124:59After the vaccine, let everyone teach in person.

125:01Yeah, this is the part,

125:02I don't understand the discussion we're even having

125:04because, okay, let's leave focus protection aside here

125:09because that's a brilliant policy for,

125:12perhaps for the future when there's no vaccine.

125:15Now with the vaccine, I'm misunderstanding something here

125:20because we're now in a space that's psychological.

125:24It's no longer about biology

125:27because with the booster shots,

125:30which I believe MIT is now requiring before January,

125:34with the booster shots, the data shows,

125:37no matter how old you are, the risks are very low

125:41for ending up in a hospital

125:44relative to all the other risks you face when you're older.

125:49I don't understand.

125:51Can you explain the policy around closing a university

125:57but also just a policy about just being so scared still

126:04in the university setting?

126:06I think the great universities have done great harm

126:09by modeling this kind of behavior.

126:12Yes, to me, sorry to keep interrupting,

126:15but to me, the university should be the beacon

126:17of great behavior, not the beacon of scared, conservative,

126:24let's not mess up.

126:26Pathological.

126:27Let's not make it pathological.

126:27Let's not make anybody angry.

126:31It should be a place to play in the space of ideas.

126:33Yes, so I think the central problem is,

126:37actually related to the central problem

126:39of COVID policy more generally,

126:41the goal seems to be to stop the disease from spreading

126:46rather than to reduce the harm from the disease.

126:51If the goal is to stop the disease from spreading,

126:54the sad fact is we have no technology to accomplish that.

126:59At this point.

127:00Yes.

127:01Like it's already deeply integrated into human civilization.

127:05Well, I mean, it's here forever, right?

127:07There's a zero survey of white tail deer in the US.

127:11It turns out 80% of white tail deer in the US

127:13have COVID antibodies.

127:15Dogs get it, cats get it.

127:18There's almost certainly human animal transmission of it.

127:22I mean, presumably, I mean, I've heard bats get it,

127:24apparently, so you have a situation

127:28where you have this disease that's here to stay.

127:30Yeah.

127:31And the vaccines don't stop the spread of it,

127:33the lockdowns don't stop the spread of it.

127:34We have no technology to stop the spread of it.

127:38And so we're burning the earth trying to stop,

127:41do something that's impossible

127:42rather than working on what's possible.

127:47And so like letting regular college happen,

127:51that's a great good.

127:53Universities are a wonderful invention

127:56and it's contributed so much to society.

127:58Just decide to shut it down.

128:00The universities should be fighting tooth and nail

128:03to not be shut down, not the other way around.

128:07Whatever the mechanisms that results

128:09in the universities doing that,

128:10that's probably, this is me talking,

128:12it probably has to do with certain incentives

128:14for the administration, probably has to do with lawyers

128:16and legal kinds of things to avoid legal trouble.

128:21But once again, it's when the administration

128:24has too much power and too much definition

128:27of what the policy is for the university,

128:29that's when you get into trouble.

128:30The beauty, the power of the university

128:33should be about the faculty and the students.

128:36Administration just gets in the way, get out of the way.

128:41I mean, they can help organize things.

128:43They play some important role, but they certainly do.

128:45But they need to remember what the mission is.

128:47The mission is not safety.

128:50The mission, actually, universities should be

128:52dangerous places for ideas and whatnot.

128:55What is the role of fear in a pandemic?

128:59We've been dancing around it.

129:00Is it useful?

129:01Is it destructive?

129:03Or is there sort of a complicated story here?

129:05Because they're taking us back into January 2020.

129:10There was so much uncertainty.

129:11This could have been a pandemic that is Black Death,

129:16the bubonic plague.

129:17It could have killed hundreds of millions of people.

129:21We don't know that.

129:22We're very new to this.

129:24It's been a while.

129:25We're rusty.

129:26So there is some value to fear

129:29so that you don't do the stupid thing.

129:31You don't just go on living.

129:33I guess where I come from,

129:34I think it's almost entirely counterproductive.

129:36I think fear should never be used as a tactic

129:39to manipulate human behavior by public health.

129:44So the fear on the individual level,

129:47that feeling of fear,

129:48you should be very hesitant about that feeling

129:51because it could be easily manipulated by the powerful.

129:53Exactly.

129:54I think that fear is natural.

129:57And it's not something that you have to stoke to get

130:03when the facts on the ground suggest it, right?

130:07In fact, the tendency for humans

130:09in the face of threats from infectious disease

130:12is to exaggerate the fear in their own minds

130:16of being contaminated by the environment and by others.

130:19That's just natural to humans.

130:21And the role of public health

130:24is not necessarily to eradicate the fear,

§15Transcript · 2:10:27–2:19:54

130:27but obviously technological advances

130:28can help eradicate the fear,

130:29but it's really to help manage that fear

130:32and help people put the sort of incentives

130:38that come out of that to useful things

130:40as opposed to harmful things.

130:43What's happened in this pandemic

130:45is that there's been a deliberate policy to stoke the fear,

130:49to help make people think that the disease

130:51is worse than it actually is.

130:53In survey after survey, you see this.

130:56And that's been incredibly damaging.

130:58So young people have readily given away

131:02their willingness to participate in regular life

131:04because A, they fear COVID more than they ought,

131:09and B, they fear that they're gonna harm the vulnerable

131:13in their lives.

131:14You put those two together

131:15and you get this powerful demand for lockdowns.

131:18You see this all over the world.

131:20Broadly speaking, you have a powerful demand

131:23for irrational policies, irrational policies,

131:26because I would like to mention the flip side of that.

131:29I've been saddened to see how much money

131:32there is to be made by the martyrs,

131:37the people, the conspiracy theorists

131:40that tell you you should be afraid of the government.

131:46You should be afraid of the man.

131:49It feels like fear is the problem.

131:51I think there's some guy that once said something

131:53about we should fear fear itself.

131:58He was a president or something.

131:59I vaguely remember that.

132:01So I'm worried about both sides here, that.

132:06Well, I think the general principle

132:07is that should not be a tool of public policy, right?

132:11The public policy should attempt,

132:13and public health policy in particular,

132:15should attempt to address that fear.

132:16It's not that you should tell people lies, of course not.

132:22Tell people accurately what the risk is.

132:26Give people tools that have evidence

132:29that they can address their risk with

132:32and level with people when we don't know.

132:36I think that is the right adult way

132:38to deal with this pandemic from a public health point of view.

132:41And that is not the policy we have followed.

132:44Instead, public health is intentionally stoked the fear

132:47in order to gain compliance with its edicts.

132:50And I think the consequence of that

132:53is people distrust public health.

132:56What you're talking about, the distrust of government,

132:58I think is partly a consequence of that.

133:00That movement, which is much smaller once upon a time,

133:03is much larger now because of essentially

133:06people look at what public health has done

133:09and said they've lied to me a whole bunch of times

133:12and a whole bunch of things is the general sense.

133:15And there are consequences to that.

133:17We're gonna have to work in public health for a long time

133:20to try to regain the trust of the public.

133:22Throughout all of this, you've been inspiring to me,

133:26to a lot of people.

133:27So you've been fearless, bold,

133:32in these kind of challenging the policies

133:35and not in a martyr kind of way

133:38because you're walking the line gracefully

133:42and beautifully, I would say.

133:44And looking at that, I think you're an inspiration

133:49to a lot of young people.

133:50So I have to ask, what advice would you give them

133:53if they're thinking of going into science,

133:56if they're thinking of having an impact in the world,

133:59what advice would you give them about their career

134:03and maybe about their life?

134:05Thinking about somebody in high school,

134:07maybe in undergraduate college.

134:09I'd say a few things.

134:10One is, this is a wonderful profession.

134:13You have an opportunity to improve the lives of so many

134:17and do it by having fun,

134:19the kind of play we're talking about.

134:20It's an absolute privilege to be able to work

134:24in this kind of area.

134:27And to young people looking to say,

134:28that have some gifts or desire for this area,

134:32I say, please, go for it.

134:35So this area of science broadly.

134:37Yeah, I mean, it could be,

134:39I mean, I don't have any gifts in AI,

134:41but like, it could be your buddy,

134:43or in health or in medicine or whatever,

134:46whatever your gifts lie, develop them,

134:48work hard and develop them,

134:49because it's worth it.

134:50It's worth it, not just because you get some status,

134:54but because the journey is fun.

134:56And the result is improvements in the lives of so many.

135:00So I think that is the encouragement I give.

135:03I'd also say, if you're looking at this ugliness

135:06of this debate that's happened over the pandemic,

135:09I'd say to young people,

135:10we need you to come in and help transform it.

135:13Many of the people you see in this debate

135:15that behave poorly, I ask you forgive them.

135:18I've done my best to try,

135:21because many of them are acting out of their own sense

135:25that they need to do good,

135:27but the mistake they've made is in this arrogance

135:31and this power.

135:32So when you come in, remember that example

135:34as a negative example.

135:35And so that when you join the debate,

135:38you'll join it in a spirit of humility

135:40and a spirit of trying to learn

135:42while keeping that love that led you

135:45to enter the field in the first place.

135:48And yeah, choose forgiveness versus like derision.

135:54Like the people that you know have messed up,

135:57like give them a pass,

135:59because it feels like that's how improvement starts.

136:03Funny, I've been thinking this is like,

136:05I told you I'm Christian, right?

136:06So like God has given me many opportunities

136:10to forgive people, learned to practice how to do that.

136:12Gave you a gift.

136:13It's a very humbling thing, I guess.

136:15Is there a memory from when you were young

136:19that was very formative to you?

136:22So you just gave advice to some young people.

136:24Is there something that stands out to you

136:26that a decision you made, an event that happened

136:32that made you the man you are today?

136:35I actually grew up in a relatively poor environment.

136:38Like I was born in India and we moved when I was four.

136:42My dad had eight brothers and sisters

136:46and my mom had four brothers and sisters.

136:48She grew up in the slum in Calcutta.

136:52My dad, his dad died when he was young

136:54and he supported his family, his brothers and sisters

136:57with university scholarship money.

136:59Came to the US and my dad worked in a McDonald's,

137:02even though he's an electrical engineer,

137:04couldn't find a job in 1971.

137:06And so he worked at McDonald's.

137:09We lived in a, like this, basically the housing port

137:14like development in Cambridge,

137:16this like this middle building on the 17th floor,

137:19this like housing development.

137:20I mean, I think that was transformative for me.

137:25Like I didn't realize so much at the time

137:27how that experience of being essentially like poor,

137:32lower middle class, what effect it had on my outlook.

137:36You mentioned to me offline

137:37that you listened to the conversation

137:38that I had with my dad.

137:40What impact did your dad have on your life?

137:42What memories do you have about him?

137:44He was a rocket scientist actually.

137:46He helped design rocket guidance systems.

137:51He died when I was 20 and I still miss him to this day.

137:55And I think that experience of seeing him

137:58sacrifice himself for his family, brilliant man,

138:05but in many ways frustrated with like his opportunities

138:08in the world, which is probably what led him

138:10to come to the US in the first place.

138:12That's transformed, that's had a transformative effect on me

138:16and I wish I could tell him that looking back.

138:21Do you think about your own mortality?

138:25Do you think about your death?

138:26Your dad is no longer with us.

138:29You're the old wise sage that represents.

138:35I've only worried about death once in this pandemic.

138:39Although I've had two, my cousin was 73

138:43and my uncle who's 74 died in India during the pandemic.

138:47And I grieve them both from COVID.

138:52Like the fear of COVID really has only hit me

138:55only really once during this and it wasn't for me.

138:58And I recognize it's irrational.

139:01So on the eve of the Santa Clara County seroprevalence study,

139:06it was a really interesting thing

139:07because so many people volunteered to help.

139:10And my daughter who's 20, I guess she was 19 at the time

139:16and my wife also volunteered to help

139:18with like various aspects of the study.

139:21And so the eve of the study,

139:22they were going to go out in public

139:24and I didn't know what the death rate was

139:25because we hadn't done the study.

139:27And I suspected it was lower than people were saying

139:30but I didn't know.

139:31I knew about the age gradient

139:33because I'd seen the Chinese data and my daughter's young

139:37but my wife is my age and I didn't know the death rate.

139:40And I couldn't sleep the night before.

139:43Like what if I'm putting my family,

139:45my daughter and my wife at risk

139:48because of some activity that I'm doing.

139:52It was kind of, I don't know.

139:53I mean, it was.

§16Transcript · 2:19:54–2:22:02

139:54So it's worried about the wellbeing of others.

139:58Yeah.

139:59When you look in the mirror.

140:00If I die, I die.

140:01I mean, like I just, it's not, again, I'm Christian.

140:04So I don't, death is not the end for me, I believe.

140:07And so I don't particularly worried about my own death

140:10but I do, I mean, I just, I think we can't help

140:14but we worry about the wellbeing of our loved ones.

140:17So from the perspective of God, then let me ask you,

140:23what do you think is the meaning

140:24of this whole journey we're on?

140:25What do you think is the meaning of life?

140:28You know, it's very simple.

140:29Love one another.

140:30Treat your neighbor as yourself.

140:32It's love, as simple as that.

140:35Well, I'd love to see a little bit more of that

140:38in this pandemic.

140:39It's an opportunity for the best of our nature to shine.

140:44It's, I've seen some of the worst

140:47but I think some of that is just good therapy.

140:49And I'm hoping in the end, what we have here is love.

140:54At the very least, make your dad proud

140:57with some incredible rockets that we're launching.

141:01I think you'd get along well with my dad, Lex.

141:04I definitely would.

141:05Thank you so much.

141:06This is an incredible honor to talk to you, Jay.

141:08You've been an inspiration to so many people

141:11and keep fighting the good fight.

141:13Thank you so much for spending your valuable time

141:15with me today.

141:16Thank you for having me here, appreciate it.

141:18Thanks for listening to this conversation

141:20with Jay Bhattacharya.

141:21To support this podcast,

141:22please check out our sponsors in the description.

141:26And now let me leave you some words from Alice Walker.

141:29The most common way people give up their power

141:33is by thinking they don't have any.

141:35Thank you for listening and hope to see you next time.

— A LITTLE MORE TO THINK ABOUT. —