WEBVTT - Michael Lewis saw this coming

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<v Speaker 1>Hi everyone, I'm Katie Kuric and this is next question.

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<v Speaker 1>Best Selling author Michael Lewis has a real knack for

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<v Speaker 1>extracting page turning drama out of otherwise mundane and complicated

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<v Speaker 1>subjects like the housing bubble, bond sales, and baseball stats.

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<v Speaker 1>Several of those nonfiction books have been turned into award winning,

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<v Speaker 1>celebrity packed films like The Big Short, mortgage backed securities,

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<v Speaker 1>sub prime loans, tranches. It's pretty confusing, right, does it

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<v Speaker 1>make you feel bored? We're stupid? Well, it's supposed to

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<v Speaker 1>add moneyball John Be's on base percentage with four seven,

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<v Speaker 1>Damon's on base and I'll made this with Add that

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<v Speaker 1>up and you get divided by three. That's what we're

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<v Speaker 1>looking for. Three ball players, three ball players. Who's is now?

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<v Speaker 1>Michael Lewis is taking a crack at our pandemic reality,

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<v Speaker 1>which is still unfolding. His new book is called The

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<v Speaker 1>Premonition of Pandemic Story through the lens of three really

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<v Speaker 1>remarkable scientists. Michael tries to unravel the government's gross mismanagement

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<v Speaker 1>of the COVID response that's led to nearly six hundred

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<v Speaker 1>thousand deaths, which is among the World's Worst Outcomes. You'll

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<v Speaker 1>get to hear from one of the main characters in

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<v Speaker 1>the book later in this episode, but for now, let's

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<v Speaker 1>start with Michael Lewis. So, Michael Lewis, first of all,

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<v Speaker 1>so great to have you again on the podcast. And

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<v Speaker 1>how crazy is it that your last book, The Fifth Risk,

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<v Speaker 1>was all about, quote, what happens when the people in

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<v Speaker 1>charge of managing risks have no interest in them and

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<v Speaker 1>boom the pandemic hits were you basically proves your thesis.

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<v Speaker 1>You know, I don't want to gloat about this. It's

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<v Speaker 1>not an attractive it's not an attractive way to go

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<v Speaker 1>through life, but I did. The point of The Fifth

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<v Speaker 1>Risk was you don't know what's gonna happen. Right. We

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<v Speaker 1>have this instrument called the government that is uniquely suited

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<v Speaker 1>to deal with certain kinds of problems, and there's no

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<v Speaker 1>other instrument to deal with them, and pandemic disease is

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<v Speaker 1>one of them. And the fact that kind of like

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<v Speaker 1>then the Trump people rolled in and didn't pay much

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<v Speaker 1>attention to the government and said it was basically the

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<v Speaker 1>problem and didn't get the transition briefings and all that.

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<v Speaker 1>I did have this terror like what's gonna happen? How

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<v Speaker 1>is it gonna kill me? And and I didn't have

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<v Speaker 1>I didn't have any specific sense of like what was

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<v Speaker 1>gonna happen next, But I thought one of these risks

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<v Speaker 1>is gonna become reality and then you're gonna see what

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<v Speaker 1>happens when you when you just abdicate the responsibility. So

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<v Speaker 1>that's what's got me interested in the in writing in

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<v Speaker 1>the book in the first place was just like, well,

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<v Speaker 1>it happened, what happens next? You might be the only writer, author,

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<v Speaker 1>reporter Michael who doesn't point a finger squarely in Trump's direction.

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<v Speaker 1>And in fact, one of the people you profile in

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<v Speaker 1>your book says, basically, Trump is a comorbidity of a

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<v Speaker 1>larger disease. Can you explain what he meant by that? Yeah.

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<v Speaker 1>All of the characters in the book, the three main characters,

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<v Speaker 1>had been engaged pretty intensely with the question of what

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<v Speaker 1>happens if a pathogen lands in America and it starts

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<v Speaker 1>to spread well before Trump, and they had all seen

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<v Speaker 1>that the tools we had to deal with it were inadequate.

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<v Speaker 1>They had all seen that, particularly the CDC was not

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<v Speaker 1>really up to controlling disease. It was more like we're

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<v Speaker 1>like an academic institution, and that they could all see

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<v Speaker 1>that we didn't have a system of public health, like

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<v Speaker 1>it just didn't exist. What we have is these people

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<v Speaker 1>who were in this extraordinary role of being local public

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<v Speaker 1>health officers, and that they they're kind of tasked with

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<v Speaker 1>battlefield command on the ground, but they aren't real source.

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<v Speaker 1>They've been starved or resources for a generation. And the

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<v Speaker 1>focus oddly had not been for a long time on

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<v Speaker 1>like pandemics, it had been on bio terrorism, if it

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<v Speaker 1>had been on other things. So these people could see that,

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<v Speaker 1>all right, it doesn't matter who's president. We we have

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<v Speaker 1>a problem, like we have a problem that we don't

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<v Speaker 1>have the tool to deal with this. So when they

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<v Speaker 1>would not say that Trump helped, they would say something like,

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<v Speaker 1>we once had this machine. It worked pretty well. We

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<v Speaker 1>allowed it to rust and decay and it was still

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<v Speaker 1>sort of creaking down the highway, and then came a

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<v Speaker 1>president who took a sledge hander to it. But it

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<v Speaker 1>was it was the machine was not it was not

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<v Speaker 1>in good shape when he was elected. So so that

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<v Speaker 1>they weren't they they think of him as more symptom

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<v Speaker 1>than cause it's sort of like the same spirit that

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<v Speaker 1>elected him led to the corrosion of the machine in

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<v Speaker 1>the first place. But you also write that George W.

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<v Speaker 1>Bush actually set things in motion for pandemic preparedness after

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<v Speaker 1>reading The Great Influenza by John M. Berry, and that

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<v Speaker 1>was about the nineteen eighteen pandemic. Uh and he read

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<v Speaker 1>it when he was on vacation, and he decided something

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<v Speaker 1>needs to be done about this. So does George W.

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<v Speaker 1>Bush deserve a little more credit than he is getting

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<v Speaker 1>in terms of at least seen that this was a

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<v Speaker 1>potential threat to the country in the world. He deserves

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<v Speaker 1>huge credit. I mean, I'm a little surprised to find

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<v Speaker 1>myself saying that, but he deserves huge credit. And he

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<v Speaker 1>he was freaked out, in a freaked out state of

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<v Speaker 1>mind when he read it, because not only did he

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<v Speaker 1>have nine eleven in the rear view mirror, but he

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<v Speaker 1>had Katrina basically on his desk, and it was like,

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<v Speaker 1>what else could go wrong? And he reads this book

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<v Speaker 1>about nineteen eight and he turns to someone in the

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<v Speaker 1>White House and he says, what's our pandemic plan? And

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<v Speaker 1>the person says, we don't. We don't have one. And

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<v Speaker 1>it was it was a really interesting case of how

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<v Speaker 1>fast the government can move when the president's piste off,

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<v Speaker 1>it was, you know, a couple of weeks from that

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<v Speaker 1>moment to him using a rapidly sketched out plan by

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<v Speaker 1>a doctor who was in the White House name region

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<v Speaker 1>kaya you know, just a few pages to ask for

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<v Speaker 1>seven billion dollars from Congress, could go about planning for

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<v Speaker 1>a pandemic. And you can trace back to that moment

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<v Speaker 1>not only my main couple of my main characters, but

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<v Speaker 1>the whole plan to have a vaccine that that was

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<v Speaker 1>not based on using chicken eggs. I mean that the

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<v Speaker 1>reason we have vaccines so fast now is stuff they

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<v Speaker 1>did back then. So that was an example that's sort

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<v Speaker 1>of a shiny bright spot, like an example of the

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<v Speaker 1>government taking on a problem figuring out how to deal

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<v Speaker 1>with it. The problem is the strategy they cooked up

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<v Speaker 1>for how to limit death and disease before the vaccine arrives,

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<v Speaker 1>which is wholly original. All the social distancing that came

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<v Speaker 1>out of their plan. It was swallowed and understood hook

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<v Speaker 1>line and sinker bout foreign countries who the CDC explained

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<v Speaker 1>it to, and we never really got minds around it.

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<v Speaker 1>We were never prepared to do the things that you

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<v Speaker 1>needed to do to contain a virus. Well, if George W.

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<v Speaker 1>Bush deserves credit, conversely, does Barack Obama deserves some of

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<v Speaker 1>the blame for letting this apparatus rust, as you said,

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<v Speaker 1>to a point where it had been corroded so significantly

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<v Speaker 1>that Trump just had to put a sledgehammer to it

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<v Speaker 1>and destroy it. No, it's more complicated than that. So

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<v Speaker 1>that if you'd ask those guys in the Bush white House,

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<v Speaker 1>who's one of them stayed on into the Obama White

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<v Speaker 1>House and brought his fellows back to help deal with

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<v Speaker 1>the pandemic that didn't happen, the two thousand nine swine

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<v Speaker 1>flu pandemic, they would say it was a decade long

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<v Speaker 1>anyway process to implementing this plan, and that they'd say

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<v Speaker 1>a couple of things. They'd say, One that Obama made

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<v Speaker 1>the same mistake every other president made in the very beginning,

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<v Speaker 1>but then corrected. And the mistake was to kind of

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<v Speaker 1>shove to one side pandemic risk, meaning it wasn't it

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<v Speaker 1>wasn't immediately on the National Security Council as a thing

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<v Speaker 1>that responsibility. Bush has sort of elevated it for I

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<v Speaker 1>don't know about months. Obama kind of put it to

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<v Speaker 1>one side, but then brought it back quickly. And the

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<v Speaker 1>Obama administration actually did a really good job of trying

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<v Speaker 1>to institutionalize pandemic response in the White House. The Trump

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<v Speaker 1>administration got rid of that, and uh, and that that

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<v Speaker 1>was a problem. The other problem, I think and is

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<v Speaker 1>it's bigger than Obama. It's generational. It's sort of like

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<v Speaker 1>if it's a sin, I don't think of it as

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<v Speaker 1>a sin. It's like a cinemomission. In the case of

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<v Speaker 1>that administration, is that there is this argument that the

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<v Speaker 1>only way we're going to deal with these problems really

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<v Speaker 1>well is is pretty serious government reform, and it means

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<v Speaker 1>actually reforming institutions like the CDC. I think the characters

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<v Speaker 1>in the Bush administration who cooked up our pandemic plan

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<v Speaker 1>made one big mistake. They overestimated the ability of the

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<v Speaker 1>CDC to execute it. So they they thought, we embedded

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<v Speaker 1>in the CDC and we're done. It's good. The CDC

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<v Speaker 1>will run this thing like a like a war general.

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<v Speaker 1>And they overestimated the kind of the willingness, the bravery,

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<v Speaker 1>the capacities of the CDC, because all along the CDC

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<v Speaker 1>had been becoming for you know, it's been on a

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<v Speaker 1>steady drift for decades to becoming this kind of highly

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<v Speaker 1>politicized academic institution. You know, that was so shocking to me.

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<v Speaker 1>I mean, the CDC, as you point out in your book,

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<v Speaker 1>is so dysfunctional, and I guess the downward slide began

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<v Speaker 1>in the late seventies. I mean, basically, what happened to

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<v Speaker 1>the CDC. It lost its independence, as you say, it

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<v Speaker 1>became politicized, and the White House in essence had too

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<v Speaker 1>much control over it, and it became less and less

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<v Speaker 1>and less independent. Is that a fairer yes? Synopsis. Yeah,

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<v Speaker 1>it's a very curious thing, the relationship between the White

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<v Speaker 1>House and the CDC. But you go, what happened was

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<v Speaker 1>there was a there was a mistake the CDC made

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<v Speaker 1>back way back in the seven when it took charge

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<v Speaker 1>of what looked like a dead lea virus coming to America.

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<v Speaker 1>It looked like there was gonna be a swine flu outbreak.

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<v Speaker 1>There had been one, a little one in New Jersey

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<v Speaker 1>in the spring. They advocated rushing to vaccinate all Americans.

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<v Speaker 1>Some people died, not many, but anful people died from

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<v Speaker 1>the vaccine. And then they stopped vaccinating people in the

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<v Speaker 1>and the pandemic never happened. After that, the CDC director

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<v Speaker 1>ceases to be a career official who's got the protection

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<v Speaker 1>of a permanent public servant who the president just can't fire,

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<v Speaker 1>and who as also who runs the place for like

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<v Speaker 1>a decade or more and has a very long term

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<v Speaker 1>view of the institution. It's changed to a presidential appointing

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<v Speaker 1>to a political appointing, which means that almost implicitly that

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<v Speaker 1>the guy whoever, whoever is running the place is gonna

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<v Speaker 1>be running for eighteen months or two years. They're gonna

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<v Speaker 1>be on a much shorter leased with the White House.

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<v Speaker 1>They're gonna be of the political party of the president

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<v Speaker 1>most likely, they're gonna be and they're view they're gonna

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<v Speaker 1>your renter instead of a home right. They're gonna be

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<v Speaker 1>thinking of like, just avoid whatever the problems catastrophes of

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<v Speaker 1>the next eighteen months or two years are, rather than

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<v Speaker 1>build this institution for the moment it's going to be

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<v Speaker 1>most needed, which is in probably in the distant future.

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<v Speaker 1>To me, the story was so rich because this isn't

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<v Speaker 1>just the CDC. This has happened to a lot of

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<v Speaker 1>institutions in Washington. We have four thousand and something presidential

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<v Speaker 1>political appointees who come in and purport to run these places.

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<v Speaker 1>And it's just impossible. If you're if what you are

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<v Speaker 1>is an eighteen month visitors some vast institution, how are

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<v Speaker 1>you going to lead that place? And you really are

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<v Speaker 1>going to leave that place. You're gonna be better or

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<v Speaker 1>worse than the person who came before you. But no

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<v Speaker 1>company would do this right. You would never say I

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<v Speaker 1>got to change your CEO every eighteen months, and they've

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<v Speaker 1>got to be of a particular political affiliation. Were you

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<v Speaker 1>shocked by that? Were you shocked? I mean, you wouldn't

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<v Speaker 1>have been shocked but because of the fifth risk. But

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<v Speaker 1>when it came to the c d C, was that

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<v Speaker 1>shocking to you? There was a combination of shock and

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<v Speaker 1>miss read because to me, the CDC had this, you know,

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<v Speaker 1>golden reputation. It was one of those bright spots in

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<v Speaker 1>the government. I would have thought it earned that reputation,

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<v Speaker 1>but it earned it like a long time ago, the fifties,

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<v Speaker 1>the sixties, the seventies, and then then things start to

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<v Speaker 1>get murkier. So yes, I was shocked by their behavior

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<v Speaker 1>in the pandemic. It's incredible that they're like preventing people

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<v Speaker 1>from being tested for COVID who come back from wulan

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<v Speaker 1>because their test doesn't work, or because they don't want

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<v Speaker 1>to find it because if they find it, they have

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<v Speaker 1>a problem with Trump because Trump doesn't want to find it.

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<v Speaker 1>That's that It shocked me that they issued all this

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<v Speaker 1>guidance that was wrong. All that stuff was shocking, But

0:12:38.800 --> 0:12:41.360
<v Speaker 1>there was this mystery attached to the shock. How did

0:12:41.400 --> 0:12:44.160
<v Speaker 1>it happen? Like, how did this place? It's not filled

0:12:44.160 --> 0:12:46.880
<v Speaker 1>with evil people, It's filled with probably really good people

0:12:46.960 --> 0:12:49.280
<v Speaker 1>who were just in a bad system. Like how did

0:12:49.360 --> 0:12:52.320
<v Speaker 1>it get so systematically wrong? That was the thing that

0:12:52.400 --> 0:12:55.040
<v Speaker 1>was the mystery to me and for my characters. You know,

0:12:55.200 --> 0:12:57.160
<v Speaker 1>Charity Dean, who was the main character of the book,

0:12:57.200 --> 0:13:00.760
<v Speaker 1>who's this local, this dynamic local public health office who's

0:13:00.840 --> 0:13:04.280
<v Speaker 1>fighting disease, you know, in hand to hand combat before

0:13:04.400 --> 0:13:09.079
<v Speaker 1>COVID finds that the CDC so interferes with her ability

0:13:09.120 --> 0:13:11.840
<v Speaker 1>to stop people from getting sick and dying that she

0:13:11.880 --> 0:13:15.160
<v Speaker 1>has to ban them from her investigations. I mean, she

0:13:15.160 --> 0:13:17.000
<v Speaker 1>she knew what was going to happen if they were

0:13:17.040 --> 0:13:19.560
<v Speaker 1>when there was a pandemic. It shocked me that it

0:13:19.600 --> 0:13:22.920
<v Speaker 1>had gotten that bad, that that it had gotten gotten

0:13:22.960 --> 0:13:25.840
<v Speaker 1>so un incapable of doing the thing it was supposed

0:13:25.880 --> 0:13:29.480
<v Speaker 1>to do. I'm thinking about the hippocratic oath, you know,

0:13:29.600 --> 0:13:32.280
<v Speaker 1>first do no harm, And it sounds like they were

0:13:32.320 --> 0:13:38.400
<v Speaker 1>actually proactively harmy, not just they weren't just inefficient and ineffectual.

0:13:38.920 --> 0:13:43.760
<v Speaker 1>They were actually hindering science, which is crazy. Well, they're

0:13:43.800 --> 0:13:47.559
<v Speaker 1>hindering response right in their minds. Probably rightly, they were

0:13:47.640 --> 0:13:50.880
<v Speaker 1>doing science like you wait till all the data is

0:13:50.920 --> 0:13:53.840
<v Speaker 1>in before you allow any decisions to be made. You

0:13:53.880 --> 0:13:56.360
<v Speaker 1>make sure you have complete certainty so you don't make

0:13:56.400 --> 0:13:59.640
<v Speaker 1>any mistakes. You focus on like the you know, writing

0:13:59.640 --> 0:14:03.520
<v Speaker 1>the paper, rather than fighting the disease. And the problem

0:14:03.520 --> 0:14:06.680
<v Speaker 1>with disease war with with this kind of combat is

0:14:06.920 --> 0:14:10.040
<v Speaker 1>its battlefield you're making. You have to make decisions in

0:14:10.360 --> 0:14:13.760
<v Speaker 1>conditions of uncertainty because by the time you have certainty

0:14:13.840 --> 0:14:17.560
<v Speaker 1>is too late. By the time you have certainty, you

0:14:17.600 --> 0:14:20.600
<v Speaker 1>don't have four cases of COVID in America, you have fifty.

0:14:24.360 --> 0:14:26.960
<v Speaker 1>Up next, one of the real life doctors featured in

0:14:27.000 --> 0:14:30.400
<v Speaker 1>Michael's book, a member of a secret group of scientists

0:14:30.480 --> 0:14:44.080
<v Speaker 1>trying to save the country. That's right after this let's

0:14:44.080 --> 0:14:49.640
<v Speaker 1>talk about the Wolverines. So you find these three incredible

0:14:50.200 --> 0:14:53.840
<v Speaker 1>badass scientists. First of all, how did you find them?

0:14:53.880 --> 0:14:56.480
<v Speaker 1>How did you track them down? And what was your process?

0:14:56.520 --> 0:15:00.480
<v Speaker 1>Michael um, the three main care This came to me

0:15:00.520 --> 0:15:02.480
<v Speaker 1>in three different ways. So the fifth risk had a

0:15:02.560 --> 0:15:05.480
<v Speaker 1>jungle guy named Max Styre who runs something called the

0:15:05.520 --> 0:15:08.760
<v Speaker 1>Partnership for Public Service, who it's seeking to kind of

0:15:08.880 --> 0:15:11.800
<v Speaker 1>fix government. He said to me early on, you got

0:15:11.800 --> 0:15:14.600
<v Speaker 1>to talk to my uncle, who was the former US

0:15:14.840 --> 0:15:17.320
<v Speaker 1>Navy secretary, who said to me, if you're going to

0:15:17.400 --> 0:15:19.680
<v Speaker 1>write anything about this, you need to meet the Wolverines.

0:15:20.360 --> 0:15:22.560
<v Speaker 1>And I said, who the hell are the Wolverines And

0:15:22.600 --> 0:15:25.640
<v Speaker 1>he said, basically, they're kind of the secret group of

0:15:25.720 --> 0:15:28.680
<v Speaker 1>doctors who meet whenever there is like a had a

0:15:28.720 --> 0:15:31.480
<v Speaker 1>fear of disease, pandemic kind of problems, and they go

0:15:31.560 --> 0:15:33.720
<v Speaker 1>back and they're kind of the people who are responsible

0:15:33.760 --> 0:15:38.480
<v Speaker 1>for the invention of pandemic planning. So I was moving

0:15:38.520 --> 0:15:43.240
<v Speaker 1>through the world last March, and the Wolverine say, you've

0:15:43.240 --> 0:15:45.440
<v Speaker 1>got to meet this woman named Charity Dean, who's number

0:15:45.440 --> 0:15:48.200
<v Speaker 1>two in the Health Department California. If anybody's gonna save

0:15:48.240 --> 0:15:52.200
<v Speaker 1>if us, it's her and another character I wrote about

0:15:52.200 --> 0:15:55.920
<v Speaker 1>in the Fifth Risk, who was Obama's chief data scientist

0:15:56.400 --> 0:15:59.720
<v Speaker 1>named d J. Patel, called me up and said, I've

0:15:59.760 --> 0:16:01.680
<v Speaker 1>just I'm from trying to help the state of California,

0:16:01.680 --> 0:16:03.440
<v Speaker 1>and You've got to meet this woman named Charity Dean.

0:16:04.280 --> 0:16:07.080
<v Speaker 1>And so I wrote a note finally to the Governor

0:16:07.120 --> 0:16:09.200
<v Speaker 1>of California. To the government of California, said I want

0:16:09.200 --> 0:16:10.920
<v Speaker 1>to meet this woman named Charity Dean, and they said, no,

0:16:11.000 --> 0:16:13.000
<v Speaker 1>you can't. She didn't want to talk to you. So

0:16:13.240 --> 0:16:15.320
<v Speaker 1>it took me about four weeks to get her private

0:16:15.320 --> 0:16:19.880
<v Speaker 1>cell number, and she said they're they're lying and and

0:16:19.880 --> 0:16:22.800
<v Speaker 1>and to figure out that, yeah, she's She kind of

0:16:22.880 --> 0:16:25.000
<v Speaker 1>unifies the story and she's the character I want to

0:16:25.000 --> 0:16:28.600
<v Speaker 1>build the book around. And the wolverine who ends up

0:16:28.600 --> 0:16:32.640
<v Speaker 1>being the main character from the tribe is Carter Measure,

0:16:33.080 --> 0:16:36.720
<v Speaker 1>and he is this savant but what was so interesting

0:16:36.760 --> 0:16:38.640
<v Speaker 1>to me about him is at heart, what he was

0:16:39.080 --> 0:16:41.640
<v Speaker 1>is a a critical care doctor who, as he said,

0:16:41.640 --> 0:16:43.040
<v Speaker 1>he has a d h D or a d D

0:16:43.200 --> 0:16:46.000
<v Speaker 1>or something exampled. I can't focus unless he has a

0:16:46.080 --> 0:16:48.760
<v Speaker 1>kind of life or death problem. And he discovered his

0:16:48.800 --> 0:16:51.880
<v Speaker 1>calling in the I c U, where people were living

0:16:51.920 --> 0:16:56.160
<v Speaker 1>and dying based on his, you know, decisions, and he

0:16:56.200 --> 0:16:58.560
<v Speaker 1>had hyper focus in the I c U. And he

0:16:58.640 --> 0:17:02.720
<v Speaker 1>was just really gifted at at and through kind of

0:17:02.720 --> 0:17:05.800
<v Speaker 1>a series of accidents, he keeps being pulled up by

0:17:05.840 --> 0:17:10.520
<v Speaker 1>the society by a string to deal with versions of

0:17:11.200 --> 0:17:14.920
<v Speaker 1>like crises life or death crisis, but at the institutional level.

0:17:15.200 --> 0:17:18.720
<v Speaker 1>First he's asked to run a giant VA hospital that's

0:17:18.720 --> 0:17:22.000
<v Speaker 1>in a total state of crisis because he's obviously really competent,

0:17:22.040 --> 0:17:24.879
<v Speaker 1>they think, and he frames it is like, the patient

0:17:24.960 --> 0:17:27.159
<v Speaker 1>is now my hospital. Then he gets pulled up to

0:17:27.240 --> 0:17:29.840
<v Speaker 1>run a whole chain of hospitals and the patient is

0:17:29.880 --> 0:17:33.080
<v Speaker 1>the is this all these hospitals And I've got to

0:17:33.080 --> 0:17:35.240
<v Speaker 1>prevent them from making the mistakes that end up causing

0:17:35.320 --> 0:17:38.320
<v Speaker 1>us all this these problems, And kind of by accident,

0:17:38.560 --> 0:17:41.040
<v Speaker 1>he's pulled into the Bush White House to figure out

0:17:41.040 --> 0:17:44.119
<v Speaker 1>how to save the society from a pandemic. And he

0:17:44.720 --> 0:17:48.040
<v Speaker 1>had this this incredible ability to come at a problem

0:17:48.040 --> 0:17:50.680
<v Speaker 1>in a really weird way and think about a new

0:17:50.800 --> 0:17:54.879
<v Speaker 1>kind of solution. And then Joe Ici, who is this

0:17:54.960 --> 0:17:58.480
<v Speaker 1>biochemist at UCSF who is the most badass virus enter

0:17:58.520 --> 0:18:01.080
<v Speaker 1>on the planet, and he's serving like in the James

0:18:01.119 --> 0:18:05.040
<v Speaker 1>Bond movie. He's cute. He creates all the gadgets he

0:18:05.160 --> 0:18:08.119
<v Speaker 1>used to go kill the bad guys. I do identify

0:18:08.280 --> 0:18:11.840
<v Speaker 1>with Q, but I'd like to put it towards infectious

0:18:11.880 --> 0:18:14.920
<v Speaker 1>disease rather than you know, hiding machine guns and cars.

0:18:16.240 --> 0:18:19.240
<v Speaker 1>My name is Joseph Desi. I'm a professor in biochemistry

0:18:19.280 --> 0:18:22.480
<v Speaker 1>and biophysics at the University of California, San Francisco, and

0:18:22.600 --> 0:18:24.960
<v Speaker 1>I'm the co president of the chan Zuckerberg bio Hub.

0:18:26.240 --> 0:18:30.120
<v Speaker 1>I first met Michael Lewis in two thousand and sixteen.

0:18:30.760 --> 0:18:33.320
<v Speaker 1>Five years ago, I published a book called flash Boys.

0:18:33.880 --> 0:18:36.359
<v Speaker 1>I was a big Michael Lewis fan, having read a

0:18:36.440 --> 0:18:39.560
<v Speaker 1>number of his books. I think Flashboys is probably one

0:18:39.560 --> 0:18:42.399
<v Speaker 1>of my favorites. A money manager in San Francisco who

0:18:42.480 --> 0:18:44.399
<v Speaker 1>liked the book wanted to go to dinner, and I

0:18:44.480 --> 0:18:46.920
<v Speaker 1>said sure. It turns out the reason he wants to

0:18:46.960 --> 0:18:49.159
<v Speaker 1>go to dinner is to say I have the character

0:18:49.240 --> 0:18:52.960
<v Speaker 1>for your next book. His name is Joe Esi. I thought,

0:18:53.280 --> 0:18:55.960
<v Speaker 1>all right, I'll go have a lunch with JODORESI. I

0:18:56.080 --> 0:18:58.320
<v Speaker 1>invited him over to the Chance Like Work bio Hub,

0:18:58.359 --> 0:19:02.160
<v Speaker 1>which is a nonprofit research institute affiliated with UC Staff, Stanford,

0:19:02.200 --> 0:19:04.960
<v Speaker 1>and Berkeley. It was like sort of indifferent to whether

0:19:05.119 --> 0:19:06.480
<v Speaker 1>he was a character in one of my books. He

0:19:06.600 --> 0:19:08.919
<v Speaker 1>just like that, that's cool, I'll meet this off. Um.

0:19:09.520 --> 0:19:13.000
<v Speaker 1>He was electrical, I mean electric. I've kind of pitched

0:19:13.040 --> 0:19:16.600
<v Speaker 1>this idea of of talking about infectious disease work and

0:19:16.720 --> 0:19:20.680
<v Speaker 1>things like that, and he seemed mildly interested, but you know,

0:19:20.920 --> 0:19:23.760
<v Speaker 1>not really that. I thought, God, I wish I knew

0:19:23.800 --> 0:19:26.280
<v Speaker 1>something about science. I wish I didn't get a d

0:19:26.480 --> 0:19:30.160
<v Speaker 1>in biology myself more year in high school, because someone

0:19:30.200 --> 0:19:32.679
<v Speaker 1>should write a book about this. Gaw. I mean, he's unbelievable.

0:19:32.960 --> 0:19:36.040
<v Speaker 1>He was like doing things like hunting down pandemics and snakes,

0:19:36.520 --> 0:19:39.399
<v Speaker 1>like find finding a virus that was wiping out parents.

0:19:39.800 --> 0:19:42.520
<v Speaker 1>He was. He was finding rare bugs that were killing

0:19:42.600 --> 0:19:46.040
<v Speaker 1>people in mysterious ways. He was, And I just thought, yeah,

0:19:46.240 --> 0:19:48.440
<v Speaker 1>I want to know more about this, but I didn't.

0:19:48.440 --> 0:19:50.360
<v Speaker 1>I felt that I didn't have a reason to write

0:19:50.359 --> 0:19:53.520
<v Speaker 1>about him until this happened. That was the last I

0:19:53.600 --> 0:19:56.760
<v Speaker 1>saw of him until you know, the pandemic hit and

0:19:56.840 --> 0:19:59.680
<v Speaker 1>then suddenly he got a lot more interested in infectious

0:19:59.720 --> 0:20:01.879
<v Speaker 1>disease easy and then I called him and he was

0:20:01.960 --> 0:20:03.760
<v Speaker 1>turned out shirt off. He's smack in the middle of it.

0:20:05.560 --> 0:20:08.720
<v Speaker 1>The Chance Luckerberg biohob as I mentioned, is a nonprofit

0:20:08.840 --> 0:20:11.919
<v Speaker 1>research institute of five ones. The three affiliate with UCSF

0:20:12.000 --> 0:20:15.600
<v Speaker 1>Stanford and Berkeley, and we're a research institute that is

0:20:15.680 --> 0:20:19.240
<v Speaker 1>dedicated to some basic science and the study of infectious

0:20:19.280 --> 0:20:23.400
<v Speaker 1>diseases in particular. And so for example, we were working

0:20:23.640 --> 0:20:28.199
<v Speaker 1>on a system for early detection of emerging pathogens worldwide,

0:20:28.280 --> 0:20:31.639
<v Speaker 1>especially in low and middle income countries, and we were

0:20:31.720 --> 0:20:36.000
<v Speaker 1>working on spinning up a number of these pathogen monitoring

0:20:36.119 --> 0:20:40.960
<v Speaker 1>sites in numerous countries like Bangladesh and Cambodia and Nepal,

0:20:41.520 --> 0:20:44.720
<v Speaker 1>Pakistan and many other places, with the idea that we

0:20:44.920 --> 0:20:49.760
<v Speaker 1>needed an early warning radar and early detection network that

0:20:49.880 --> 0:20:54.200
<v Speaker 1>would help us know when something new is coming our way.

0:20:55.000 --> 0:20:58.760
<v Speaker 1>So I was helping Cambodia get set up in January.

0:21:00.160 --> 0:21:04.159
<v Speaker 1>On my trip back from Cambodia through China, compared to

0:21:04.320 --> 0:21:07.879
<v Speaker 1>when I came through China into Cambodia only about ten

0:21:08.000 --> 0:21:11.840
<v Speaker 1>days prior, there was a much heightened level of security,

0:21:12.640 --> 0:21:15.239
<v Speaker 1>and not the security of you know, um X ray

0:21:15.359 --> 0:21:18.200
<v Speaker 1>machines looking for you know, things in luggage. It was

0:21:18.280 --> 0:21:21.680
<v Speaker 1>security around people. So they were big, these big, you know,

0:21:22.040 --> 0:21:24.359
<v Speaker 1>glass and acrylic boxes that you stood in and it

0:21:24.520 --> 0:21:27.440
<v Speaker 1>monitored your fever. It was a temperature sensor with a

0:21:27.520 --> 0:21:29.800
<v Speaker 1>video monitor, and there was a lot of security personnel

0:21:30.359 --> 0:21:31.879
<v Speaker 1>and everybody had to go in there and kind of

0:21:31.960 --> 0:21:34.359
<v Speaker 1>stand one at a time, and it was, you know,

0:21:34.720 --> 0:21:37.320
<v Speaker 1>a level, a heightened level that just wasn't there ten

0:21:37.400 --> 0:21:43.840
<v Speaker 1>days earlier. And that different said to me, Okay, something's

0:21:43.880 --> 0:21:46.920
<v Speaker 1>going on. It's probably a bigger deal than we thought.

0:21:47.720 --> 0:21:50.119
<v Speaker 1>But did we have much more information than that, No,

0:21:50.520 --> 0:21:53.000
<v Speaker 1>we didn't really know. Alls I could tell is that

0:21:53.119 --> 0:21:57.119
<v Speaker 1>the feeling inside the airport, the security level and the

0:21:57.320 --> 0:22:03.880
<v Speaker 1>tenseness there, it was just something you could feel. February

0:22:03.880 --> 0:22:06.000
<v Speaker 1>of the first cases really came in here. And then,

0:22:06.440 --> 0:22:09.840
<v Speaker 1>you know, the thing that really became apparent to us

0:22:10.160 --> 0:22:17.000
<v Speaker 1>was in early March, it became completely obvious that are

0:22:17.119 --> 0:22:21.760
<v Speaker 1>testing capacity in the United States and the commercial providers

0:22:21.800 --> 0:22:25.640
<v Speaker 1>and big labs were ill suited to carry the load

0:22:25.720 --> 0:22:29.440
<v Speaker 1>that was coming. There was a tidal wave coming and

0:22:31.200 --> 0:22:36.840
<v Speaker 1>nobody had the higher ground. Everybody was going to be flooded,

0:22:40.040 --> 0:22:43.080
<v Speaker 1>and when tests were being sent out to commercial providers,

0:22:43.160 --> 0:22:46.240
<v Speaker 1>they weren't coming back for ten or fourteen days, which

0:22:46.320 --> 0:22:49.560
<v Speaker 1>is unacceptable because the window is, you know, now you

0:22:49.680 --> 0:22:52.120
<v Speaker 1>need to have an answer in less than twenty four hours.

0:22:52.240 --> 0:22:54.440
<v Speaker 1>These days, we want an answer in fifteen minutes, not

0:22:54.560 --> 0:22:57.479
<v Speaker 1>twenty four hours. At that time, I would have been

0:22:57.520 --> 0:23:01.160
<v Speaker 1>throwed with twenty four hours. And so you know, at

0:23:01.359 --> 0:23:04.000
<v Speaker 1>at the chance, like bio Hub, we have this ability

0:23:04.080 --> 0:23:06.760
<v Speaker 1>to be nimble, to change what we're doing and turn

0:23:06.800 --> 0:23:09.760
<v Speaker 1>on a dime, and we really felt that it was

0:23:09.800 --> 0:23:12.480
<v Speaker 1>going to be necessary to get into the game. We're

0:23:12.480 --> 0:23:15.960
<v Speaker 1>a bunch of molecular biologists were study infectious disease. If

0:23:16.040 --> 0:23:19.440
<v Speaker 1>we can't participate in this fight, what fight can we fight? In?

0:23:21.240 --> 0:23:23.600
<v Speaker 1>This goal of setting up a clinical lab as fast

0:23:23.680 --> 0:23:25.960
<v Speaker 1>as we could, it really took everything that we had.

0:23:27.040 --> 0:23:29.920
<v Speaker 1>We begged and borrowed every piece of equipment we could

0:23:29.920 --> 0:23:32.920
<v Speaker 1>get across the research campus. And luckily here at you CSF,

0:23:33.040 --> 0:23:38.119
<v Speaker 1>we have a tremendous workforce of incredibly trained pH d

0:23:38.359 --> 0:23:42.480
<v Speaker 1>s in virology and molecular biology and infectious disease, and

0:23:42.640 --> 0:23:44.840
<v Speaker 1>so I was able to draw on over a hundred

0:23:44.880 --> 0:23:48.280
<v Speaker 1>and seventy five volunteers. There were you know that are

0:23:48.320 --> 0:23:51.959
<v Speaker 1>all PhD level volunteers. To show up and put their

0:23:52.040 --> 0:23:55.280
<v Speaker 1>skills to use. Everybody wanted to get into the fight,

0:23:56.200 --> 0:23:59.000
<v Speaker 1>and so they brought their skills, They brought their re agents,

0:23:59.080 --> 0:24:01.920
<v Speaker 1>they brought their rope oots, they brought their time. We

0:24:02.040 --> 0:24:07.320
<v Speaker 1>built a clinical testing lab starting on March twelve, and

0:24:07.800 --> 0:24:09.879
<v Speaker 1>we had it up and running returned our first clinical

0:24:09.960 --> 0:24:12.240
<v Speaker 1>result on March twentieth. So it took us eight days

0:24:12.320 --> 0:24:15.080
<v Speaker 1>to set up the entire lab and get clinical testing

0:24:15.160 --> 0:24:18.400
<v Speaker 1>for COVID down. And then we just rolled it out

0:24:18.520 --> 0:24:23.800
<v Speaker 1>to essentially all the counties in California. And so when

0:24:23.840 --> 0:24:27.480
<v Speaker 1>we initially did outreach and sort of hey, local counties,

0:24:27.840 --> 0:24:29.760
<v Speaker 1>we know you're not getting your test back for seven

0:24:29.880 --> 0:24:32.280
<v Speaker 1>or ten days, we could do it way faster and

0:24:32.760 --> 0:24:36.080
<v Speaker 1>by the way, we'll do it for free. Uh. And

0:24:36.520 --> 0:24:38.560
<v Speaker 1>we didn't really get that much of a response, and

0:24:38.640 --> 0:24:42.000
<v Speaker 1>we didn't really understand why. And I think Priscilla put

0:24:42.080 --> 0:24:45.359
<v Speaker 1>it really well. Actually, she said, you know, a lot

0:24:45.440 --> 0:24:48.520
<v Speaker 1>of departments of public health don't know how to ask

0:24:48.680 --> 0:24:52.760
<v Speaker 1>for something because they've never been given anything. And it's true.

0:24:52.880 --> 0:24:56.280
<v Speaker 1>When we worked with our our local county department and

0:24:56.359 --> 0:24:59.400
<v Speaker 1>health offices, you know, in different counties around the Bay Area,

0:24:59.520 --> 0:25:02.720
<v Speaker 1>we found owned that there's a great disparity in different

0:25:03.119 --> 0:25:07.200
<v Speaker 1>public offices. Some had some decent resources, others had almost nothing.

0:25:07.720 --> 0:25:11.040
<v Speaker 1>And it's from years of neglect of our public health system. Frankly,

0:25:11.640 --> 0:25:14.720
<v Speaker 1>and I think the pandemic has taught us that we

0:25:14.840 --> 0:25:19.800
<v Speaker 1>need to reinforce and rebuild those public health institutions so

0:25:19.960 --> 0:25:24.480
<v Speaker 1>that this doesn't happen again. Uh and um, I hope

0:25:24.840 --> 0:25:28.160
<v Speaker 1>that this crisis spurs us to actions so that does

0:25:28.240 --> 0:25:32.000
<v Speaker 1>occur now. Luckily, we were able to reach out to

0:25:32.280 --> 0:25:37.320
<v Speaker 1>our public health directors across the state. Actually, Priscilla Chant

0:25:37.320 --> 0:25:40.320
<v Speaker 1>actually had a conference call and she invited everybody onto

0:25:40.359 --> 0:25:42.800
<v Speaker 1>the call from all the different counties and said, hey,

0:25:42.880 --> 0:25:45.440
<v Speaker 1>what's not to like about free testing? And they got it,

0:25:45.600 --> 0:25:47.879
<v Speaker 1>and they finally got it. It sticks some talking to you,

0:25:48.200 --> 0:25:50.200
<v Speaker 1>and then it took off, and of course we did it,

0:25:50.320 --> 0:25:53.000
<v Speaker 1>you know more, we did, you know, thousands and thousands

0:25:53.040 --> 0:25:55.440
<v Speaker 1>and thousands of tests until the state was able to

0:25:55.520 --> 0:25:58.800
<v Speaker 1>bring up its own mass testing sort of systems, and

0:25:59.119 --> 0:26:02.880
<v Speaker 1>direct Emagine to testing also came online, which also made

0:26:02.920 --> 0:26:06.320
<v Speaker 1>things much faster and easier. And so once those came online,

0:26:06.560 --> 0:26:09.560
<v Speaker 1>we're able to sort of ramp down the clinical testing.

0:26:09.960 --> 0:26:14.639
<v Speaker 1>But simultaneously, we were always ramping up the sequencing, and

0:26:14.800 --> 0:26:17.840
<v Speaker 1>of course variance and sequencing only got super popular in

0:26:17.960 --> 0:26:22.440
<v Speaker 1>round December. But we've been sequencing since April, not just

0:26:22.560 --> 0:26:25.919
<v Speaker 1>for variance, but for using the data for actionable intervention

0:26:26.000 --> 0:26:29.200
<v Speaker 1>at the public health level. And the way that works

0:26:29.280 --> 0:26:33.000
<v Speaker 1>is this, we can sequence the positive samples and we

0:26:33.080 --> 0:26:37.560
<v Speaker 1>can understand which genomes are related. Since the virus makes

0:26:37.680 --> 0:26:41.000
<v Speaker 1>mistakes in itself as it copies itself and transmits from

0:26:41.040 --> 0:26:43.920
<v Speaker 1>one person to the other, it creates basically a little

0:26:44.000 --> 0:26:49.160
<v Speaker 1>breadcrumb trail in which you can track back which infections

0:26:49.200 --> 0:26:53.159
<v Speaker 1>were related to who. When we were working with some

0:26:53.280 --> 0:26:57.160
<v Speaker 1>of our public health officials and counties, UM I remember

0:26:57.760 --> 0:27:02.879
<v Speaker 1>um one reporter asking the the official, Hey, if you

0:27:02.920 --> 0:27:05.720
<v Speaker 1>can have anything today right now, you know what would

0:27:05.720 --> 0:27:09.159
<v Speaker 1>it be? A shiny new testing machine? Uh? You know,

0:27:09.240 --> 0:27:10.960
<v Speaker 1>a mobile van? Wan? What what do we what do

0:27:11.000 --> 0:27:12.639
<v Speaker 1>you need right now? What could it be? And the

0:27:12.840 --> 0:27:18.680
<v Speaker 1>Department of Health official said information that's more valuable than anything.

0:27:19.320 --> 0:27:22.159
<v Speaker 1>Where is the virus coming in? Are there new introductions

0:27:22.200 --> 0:27:25.800
<v Speaker 1>to my city or is there continuing forward spread among

0:27:25.880 --> 0:27:29.879
<v Speaker 1>a certain community? Where can I cut the transmission change short?

0:27:30.280 --> 0:27:33.040
<v Speaker 1>What is my next action that it's going to save lives,

0:27:34.520 --> 0:27:37.080
<v Speaker 1>and that's how we can put genomic epidemiology to work.

0:27:40.359 --> 0:27:43.240
<v Speaker 1>It's been a wild roller coaster ride. It's been very

0:27:43.320 --> 0:27:47.160
<v Speaker 1>tense and very exciting, but also stressful at the same time.

0:27:47.960 --> 0:27:52.960
<v Speaker 1>I learned lessons about how how our public health system works.

0:27:53.000 --> 0:27:56.959
<v Speaker 1>I learned lessons about disease transmission that I didn't fully appreciate,

0:27:57.480 --> 0:28:03.440
<v Speaker 1>and the potential for pandemic spread in asymptomatic individuals. The

0:28:03.560 --> 0:28:06.400
<v Speaker 1>basic biology of this virus will be studying for decades

0:28:06.520 --> 0:28:09.680
<v Speaker 1>to come. We still don't fundamentally understand the biology of that.

0:28:10.320 --> 0:28:13.160
<v Speaker 1>It has been wonderful to see the miracle the MR

0:28:13.200 --> 0:28:16.720
<v Speaker 1>and A vaccines from both Visor Maderna in particular. Those

0:28:16.840 --> 0:28:21.520
<v Speaker 1>have been incredible innovations that I was initially skeptical of,

0:28:21.760 --> 0:28:25.399
<v Speaker 1>but it has done really well and I think we

0:28:25.440 --> 0:28:26.840
<v Speaker 1>can all see the light at the end of the

0:28:26.880 --> 0:28:30.000
<v Speaker 1>tunnel now. So you know, the other thing that I

0:28:30.160 --> 0:28:35.040
<v Speaker 1>learned is that in these situations, there's no points for hesitation.

0:28:35.480 --> 0:28:37.960
<v Speaker 1>You have to act and act quickly, and sometimes it's

0:28:38.000 --> 0:28:41.280
<v Speaker 1>not going to be the right move, but the inaction,

0:28:41.400 --> 0:28:45.240
<v Speaker 1>the waiting for more data, is potentially more damaging over

0:28:45.280 --> 0:28:50.480
<v Speaker 1>the long run than not doing something. We're going to

0:28:50.560 --> 0:28:52.720
<v Speaker 1>take a short break, but when we come back. Michael

0:28:52.800 --> 0:28:56.320
<v Speaker 1>Lewis on how to handle what some experts are calling

0:28:56.800 --> 0:29:08.200
<v Speaker 1>the age of pandemics. Talk about the notion, Michael, of premonition,

0:29:08.400 --> 0:29:11.840
<v Speaker 1>the fact that these folks have this essential trait that

0:29:12.080 --> 0:29:17.080
<v Speaker 1>enabled them to sense that something catastrophic was was on

0:29:17.240 --> 0:29:20.000
<v Speaker 1>the horizon and to act on the impulse. I mean,

0:29:20.120 --> 0:29:22.959
<v Speaker 1>what did these three people have in common? What did

0:29:23.040 --> 0:29:26.320
<v Speaker 1>you learn from them? Well, all three of them. Once

0:29:26.360 --> 0:29:29.960
<v Speaker 1>you're living in the world of you know, biochemical events.

0:29:30.000 --> 0:29:32.080
<v Speaker 1>Once you're once you're spending a lot of time thinking

0:29:32.080 --> 0:29:36.360
<v Speaker 1>about how various viruses mutate, might change, and how broken

0:29:36.400 --> 0:29:39.440
<v Speaker 1>our relationship with nature is so that things are leaping

0:29:39.480 --> 0:29:42.600
<v Speaker 1>from animals to people more often. When you're really looking

0:29:42.640 --> 0:29:44.280
<v Speaker 1>at that close. It really isn't a matter of if

0:29:44.360 --> 0:29:48.760
<v Speaker 1>the wind right that that they they became all of them,

0:29:48.800 --> 0:29:51.120
<v Speaker 1>And there are different ways and for different reasons became

0:29:51.160 --> 0:29:54.240
<v Speaker 1>convinced that the risk of pandemic was higher than say,

0:29:54.320 --> 0:29:57.240
<v Speaker 1>what I thought it was. But the whole premonition notion

0:29:57.360 --> 0:30:00.800
<v Speaker 1>is is an interesting one because car a measure was

0:30:01.640 --> 0:30:05.200
<v Speaker 1>among his gifts was his ability to figure out very

0:30:05.360 --> 0:30:08.360
<v Speaker 1>very quickly what's happening in the beginning of a pandemic,

0:30:08.880 --> 0:30:12.880
<v Speaker 1>and so he's January twenty. He has a very accurate

0:30:12.960 --> 0:30:17.560
<v Speaker 1>read on the lethality and transmissibility of the virus in Wuhan,

0:30:17.880 --> 0:30:20.200
<v Speaker 1>and he knows it's coming here. So if he had

0:30:20.240 --> 0:30:22.600
<v Speaker 1>been in charge, as there's every possibility he would have

0:30:22.600 --> 0:30:25.360
<v Speaker 1>been in charge, just wasn't um, we would have started acting,

0:30:25.560 --> 0:30:27.760
<v Speaker 1>you know, two months before we did, and he would

0:30:27.800 --> 0:30:30.320
<v Speaker 1>tell you, you've got to get it. You've got to

0:30:30.400 --> 0:30:34.640
<v Speaker 1>have this sort of like clairvoyance because by the time

0:30:34.720 --> 0:30:38.320
<v Speaker 1>you see the virus, you know in action. By the

0:30:38.400 --> 0:30:41.160
<v Speaker 1>time you see the first death, you're looking at the

0:30:41.240 --> 0:30:44.160
<v Speaker 1>equivalent of starlight. You're looking at something an infection that

0:30:44.280 --> 0:30:47.200
<v Speaker 1>took place maybe five weeks ago, and in those five

0:30:47.280 --> 0:30:51.320
<v Speaker 1>weeks that virus has multiplied exponentially. So if you wait

0:30:51.440 --> 0:30:54.280
<v Speaker 1>till the death, you've got so many cases in your community.

0:30:54.400 --> 0:30:57.680
<v Speaker 1>You can't you can't manage it. You need to anticipate it.

0:30:58.280 --> 0:31:01.160
<v Speaker 1>Charity is the one who got a mystical on me

0:31:01.240 --> 0:31:04.480
<v Speaker 1>about this, and that Charity Dean, she was the only

0:31:04.520 --> 0:31:08.000
<v Speaker 1>one who's actually stopping disease on the ground, and she

0:31:08.240 --> 0:31:10.080
<v Speaker 1>found that she had to kind of use that she

0:31:10.160 --> 0:31:11.840
<v Speaker 1>had to smell it. I mean it was like it

0:31:11.960 --> 0:31:15.239
<v Speaker 1>was like jungle instincts with her, and she I'll tell

0:31:15.280 --> 0:31:17.840
<v Speaker 1>a story that sent a chilled down my spot. It

0:31:18.000 --> 0:31:20.320
<v Speaker 1>was not not long after I met her. I had

0:31:20.360 --> 0:31:22.880
<v Speaker 1>been interviewing her something and she mentioned to me, I

0:31:22.960 --> 0:31:24.880
<v Speaker 1>don't know why that every year she made her New

0:31:24.960 --> 0:31:27.120
<v Speaker 1>Year's resolutions, but she made them on her birthday, which

0:31:27.160 --> 0:31:30.160
<v Speaker 1>was December twenty, and she scribbled them down on the

0:31:30.240 --> 0:31:34.040
<v Speaker 1>back of her grandmother's photograph, her dead grandmother who she adored.

0:31:34.720 --> 0:31:38.000
<v Speaker 1>And one day, sometime after we had met, I said,

0:31:38.480 --> 0:31:40.520
<v Speaker 1>I think to get to know you better, it would

0:31:40.560 --> 0:31:42.240
<v Speaker 1>really help me if you just let me wander around

0:31:42.280 --> 0:31:43.680
<v Speaker 1>your house a bit, because there were a lot of

0:31:43.800 --> 0:31:46.640
<v Speaker 1>like very personal touches in the house. And she went

0:31:46.720 --> 0:31:48.240
<v Speaker 1>out back with her kids and she left me to

0:31:48.320 --> 0:31:51.480
<v Speaker 1>wander the house. I get to her bedroom and her

0:31:51.600 --> 0:31:55.000
<v Speaker 1>grandmother's photograph is beside her bed, and I think she said,

0:31:55.000 --> 0:31:56.600
<v Speaker 1>I could look at anything, So I pull it off

0:31:56.640 --> 0:31:59.400
<v Speaker 1>the wall and it's got all her New Year's resolutions,

0:31:59.440 --> 0:32:02.920
<v Speaker 1>her birthday resolutions going back for like twelve years. They

0:32:02.960 --> 0:32:06.440
<v Speaker 1>are all of the sort that I make, like learn Spanish,

0:32:06.880 --> 0:32:10.040
<v Speaker 1>or or like go to Africa, or they're all resident,

0:32:10.040 --> 0:32:12.440
<v Speaker 1>they're all kind of like what you're gonna do? Until

0:32:12.520 --> 0:32:17.120
<v Speaker 1>two thousand and nineteen, and in December two thousand and nineteen,

0:32:17.480 --> 0:32:20.800
<v Speaker 1>her first resolution is something very personal, and number two

0:32:21.000 --> 0:32:25.360
<v Speaker 1>it says it has started. And now this is this,

0:32:25.480 --> 0:32:27.960
<v Speaker 1>This is before anybody would have known that there was

0:32:28.520 --> 0:32:31.800
<v Speaker 1>a virus in Upan. And this is a woman who's

0:32:31.840 --> 0:32:34.280
<v Speaker 1>been waiting her whole life for the pandemic. There's nothing

0:32:34.440 --> 0:32:37.320
<v Speaker 1>like that on anywhere on this And I call her

0:32:37.400 --> 0:32:39.240
<v Speaker 1>up I said, I said, like, what is this? And

0:32:39.320 --> 0:32:41.760
<v Speaker 1>she said, yeah, yeah. I had this vision in my

0:32:41.880 --> 0:32:45.600
<v Speaker 1>head of this giant tsunami washing over America and I thought,

0:32:45.960 --> 0:32:48.600
<v Speaker 1>something's coming. Now I don't know what it is. I'm

0:32:48.640 --> 0:32:51.920
<v Speaker 1>on red alert. And she'd written this down and I thought,

0:32:52.800 --> 0:32:55.600
<v Speaker 1>you know, I can't explain it. She couldn't explain it.

0:32:56.040 --> 0:32:58.200
<v Speaker 1>She didn't make a big deal of it. But it

0:32:58.320 --> 0:33:00.760
<v Speaker 1>was sort of like you sometimes when you're an expert

0:33:00.800 --> 0:33:03.880
<v Speaker 1>in something, when you do something so often you don't

0:33:03.960 --> 0:33:06.680
<v Speaker 1>know why you know what you know. And something had

0:33:06.760 --> 0:33:09.400
<v Speaker 1>bothered her and it was that instinct. She says she

0:33:09.440 --> 0:33:11.640
<v Speaker 1>had learned to trust because if she didn't trust it.

0:33:11.720 --> 0:33:14.240
<v Speaker 1>She didn't have a tool for dealing with disease because

0:33:14.280 --> 0:33:18.040
<v Speaker 1>you need that instinct that is freaky but maybe not

0:33:18.320 --> 0:33:21.840
<v Speaker 1>as freaky but also freaky. Is an interview that you

0:33:22.000 --> 0:33:26.120
<v Speaker 1>gave to The Guardian in December of two thousand nineteen, Michael,

0:33:26.280 --> 0:33:29.320
<v Speaker 1>and you say, for people to suddenly start to value

0:33:29.400 --> 0:33:31.760
<v Speaker 1>what good government does, I think there will have to

0:33:31.840 --> 0:33:34.240
<v Speaker 1>be something that threatens a lot of people at once.

0:33:34.760 --> 0:33:37.800
<v Speaker 1>The problem with a wildfire in California or a hurricane

0:33:37.840 --> 0:33:40.280
<v Speaker 1>in Florida is that for most people it is happening

0:33:40.360 --> 0:33:43.400
<v Speaker 1>to someone else. I think a pandemic might do it.

0:33:43.680 --> 0:33:47.520
<v Speaker 1>Something that could affect millions of people indiscriminately and from

0:33:47.560 --> 0:33:50.920
<v Speaker 1>which you could not insulate yourself even if you were rich.

0:33:51.480 --> 0:33:54.720
<v Speaker 1>I think that might do it. Okay, do doo doo

0:33:54.760 --> 0:33:58.000
<v Speaker 1>doo doo doo doo doo. That wasn't December of two

0:33:58.080 --> 0:34:01.360
<v Speaker 1>thousand nineteen. Yeah, but I didn't know anything. So it's

0:34:01.520 --> 0:34:06.400
<v Speaker 1>it's um. Charity's performance is more impressive than mine, I

0:34:06.440 --> 0:34:08.960
<v Speaker 1>would say, but I would say this in my I

0:34:09.280 --> 0:34:13.400
<v Speaker 1>want to like par settlement because here's what I was thinking,

0:34:13.760 --> 0:34:16.560
<v Speaker 1>and how different it is from what happened. It wasn't

0:34:17.120 --> 0:34:19.279
<v Speaker 1>It's not true that you couldn't insulate yourself from this.

0:34:19.880 --> 0:34:22.200
<v Speaker 1>Rich people have been able to insulate themselves from this.

0:34:22.320 --> 0:34:25.839
<v Speaker 1>There's been a few exceptions, but the price has fallen vary.

0:34:25.960 --> 0:34:29.440
<v Speaker 1>The cost has fallen very unevenly on the society, so

0:34:29.680 --> 0:34:33.080
<v Speaker 1>that my pandemic is very different from the pandemic of

0:34:33.239 --> 0:34:38.640
<v Speaker 1>a migrant worker in California and or some someone who

0:34:38.719 --> 0:34:42.279
<v Speaker 1>can't afford not to work from home. And so the

0:34:42.520 --> 0:34:44.640
<v Speaker 1>politics of it weren't what I thought it was going

0:34:44.719 --> 0:34:48.440
<v Speaker 1>to be because enough people could escape and tell a

0:34:48.560 --> 0:34:52.520
<v Speaker 1>story about how it's a hoax, it's not really that serious,

0:34:52.760 --> 0:34:56.920
<v Speaker 1>all that stuff. As six hundred thousand Americans die, the

0:34:57.280 --> 0:35:00.400
<v Speaker 1>biff that it gave to the society wasn't quite as

0:35:00.480 --> 0:35:03.960
<v Speaker 1>direct as I imagined it would be. However, I do

0:35:04.120 --> 0:35:07.480
<v Speaker 1>think that is what's happening. I think that the bidens

0:35:07.560 --> 0:35:09.120
<v Speaker 1>being able to get it, will get away with stuff.

0:35:09.360 --> 0:35:13.480
<v Speaker 1>There's more full throated like defense of government going on

0:35:13.640 --> 0:35:17.200
<v Speaker 1>now than than than ever happened in the Obama administration.

0:35:17.760 --> 0:35:20.320
<v Speaker 1>And because you I think that there's there's more of

0:35:20.360 --> 0:35:23.200
<v Speaker 1>a market for the for the idea like, yeah, we

0:35:23.360 --> 0:35:26.200
<v Speaker 1>screwed up, We screwed up because our government was screwed

0:35:26.280 --> 0:35:29.600
<v Speaker 1>up enough people would see that that it's it's had

0:35:29.719 --> 0:35:33.120
<v Speaker 1>some effects. So I was wrong that a pandemic was

0:35:33.160 --> 0:35:35.960
<v Speaker 1>completely going to completely fix this. A pandemic had a

0:35:36.000 --> 0:35:39.080
<v Speaker 1>slightly different effect than I thought. But in that direction,

0:35:40.040 --> 0:35:42.800
<v Speaker 1>did any of these scientists try to cut through the

0:35:42.880 --> 0:35:47.160
<v Speaker 1>government bureaucracy and sound the alarm since they're the people

0:35:47.320 --> 0:35:50.160
<v Speaker 1>you wish were in charge when this all was happening,

0:35:50.280 --> 0:35:53.279
<v Speaker 1>and what happened to them when they tried, Oh my god,

0:35:54.200 --> 0:35:57.279
<v Speaker 1>well let's start a car mession. Since he wrote the

0:35:57.320 --> 0:36:01.680
<v Speaker 1>pandemic plan, the White House neglected. So at the beginning

0:36:01.680 --> 0:36:04.640
<v Speaker 1>of the Trump administration, there were some characters you would

0:36:04.640 --> 0:36:07.520
<v Speaker 1>not have expected to be there because they had associations

0:36:07.560 --> 0:36:10.040
<v Speaker 1>with previous administrations. I guess there were so many jobs

0:36:10.080 --> 0:36:12.640
<v Speaker 1>to feel that some people slipt through, And one of

0:36:12.719 --> 0:36:15.319
<v Speaker 1>them was Tom Bosster, who had been on the been

0:36:15.360 --> 0:36:18.440
<v Speaker 1>on the National security in the Bush administration, and he

0:36:18.520 --> 0:36:21.560
<v Speaker 1>had watched Carter Measure and his partner in crime, Richard Hatchett,

0:36:21.600 --> 0:36:23.600
<v Speaker 1>cook up this plan and was so in awe of

0:36:23.680 --> 0:36:27.640
<v Speaker 1>him that when he got there in two thousand and seventeen,

0:36:28.280 --> 0:36:29.960
<v Speaker 1>one of his first calls was to them and say,

0:36:29.960 --> 0:36:32.120
<v Speaker 1>I want to badge you into the White House right now,

0:36:32.480 --> 0:36:34.560
<v Speaker 1>because if there's a pandemic, you guys are coming to

0:36:34.680 --> 0:36:37.719
<v Speaker 1>run it now. When John Bolton was brought into the

0:36:37.760 --> 0:36:40.960
<v Speaker 1>Trump White House, he fired Boston and at that moment

0:36:41.080 --> 0:36:45.880
<v Speaker 1>the actual link with past knowledge was severed. However, everybody,

0:36:46.239 --> 0:36:48.480
<v Speaker 1>the people there are people in the know, like Tony Fauci,

0:36:48.920 --> 0:36:53.360
<v Speaker 1>know who Carter Measure is. And Carter started writing these emails,

0:36:53.640 --> 0:36:57.120
<v Speaker 1>they called him the Red Dawn emails that had a

0:36:57.239 --> 0:37:00.440
<v Speaker 1>bigger and bigger following, and it was read. I mean,

0:37:00.560 --> 0:37:02.360
<v Speaker 1>you know, it was read by the Surgeon General, it

0:37:02.480 --> 0:37:04.440
<v Speaker 1>was read by people in the f d A, it

0:37:04.520 --> 0:37:06.800
<v Speaker 1>was read by people in the CDC. And he knew that.

0:37:07.040 --> 0:37:09.280
<v Speaker 1>And so he was trying with that, use that bullhorn

0:37:09.400 --> 0:37:12.720
<v Speaker 1>to get them to do stuff. So but we're crazy

0:37:12.840 --> 0:37:14.759
<v Speaker 1>doing it. I mean, he couldn't believe. Carter is a

0:37:14.840 --> 0:37:18.440
<v Speaker 1>hard person to upset. He couldn't believe how long it

0:37:18.560 --> 0:37:21.080
<v Speaker 1>took for them to acknowledge there was any kind of threat.

0:37:21.640 --> 0:37:25.800
<v Speaker 1>But so yes, he tried. He got the CDC itself,

0:37:25.880 --> 0:37:27.640
<v Speaker 1>even though he lives in Atlanta. Didn't want to see

0:37:27.719 --> 0:37:33.440
<v Speaker 1>him in the flesh Um the second person charity Deane

0:37:33.880 --> 0:37:37.480
<v Speaker 1>number two in the state of California. She sees with

0:37:37.640 --> 0:37:41.120
<v Speaker 1>Carter sees bid January this thing, but she's primed. It

0:37:41.200 --> 0:37:44.520
<v Speaker 1>has started. Uh that this thing in Wuhan is um.

0:37:44.800 --> 0:37:47.440
<v Speaker 1>This is serious. You don't well people inside their homes

0:37:47.480 --> 0:37:49.960
<v Speaker 1>to die if you're if you've got a mild outbreak

0:37:50.600 --> 0:37:54.280
<v Speaker 1>and um. And she started to try to sound the alarm.

0:37:55.520 --> 0:37:59.239
<v Speaker 1>Her boss, uh Redder, the riot at, said you're not

0:37:59.280 --> 0:38:02.080
<v Speaker 1>allowed to use the word pandemic. You're scaring people. You're

0:38:02.120 --> 0:38:04.480
<v Speaker 1>not allowed to do that exponential math on the whiteboard

0:38:04.520 --> 0:38:06.920
<v Speaker 1>showing the twenty million in California are gonna get infected

0:38:06.960 --> 0:38:09.840
<v Speaker 1>unless we mitigate this thing. She was shut down. She

0:38:10.000 --> 0:38:13.319
<v Speaker 1>was told go in your box and stay there. You're

0:38:13.360 --> 0:38:16.759
<v Speaker 1>not welcome at any meetings on the subject uh for

0:38:16.960 --> 0:38:22.120
<v Speaker 1>two and something months. So she got shut down. Joe

0:38:22.200 --> 0:38:24.840
<v Speaker 1>Does is in a slightly different position. He's at a nonprofit.

0:38:24.920 --> 0:38:27.320
<v Speaker 1>He's running the Chance Zuckerberg bio Hub, which is a

0:38:27.400 --> 0:38:30.560
<v Speaker 1>couple of enterprise that was funded with Mark Zuckerberg's money.

0:38:30.680 --> 0:38:33.400
<v Speaker 1>But when his wife's his wife is a pediatrician, it

0:38:33.520 --> 0:38:36.800
<v Speaker 1>was her interest to try to eliminate disease by the

0:38:36.880 --> 0:38:40.560
<v Speaker 1>end of the twenty one century. He's got resources. He,

0:38:41.880 --> 0:38:44.719
<v Speaker 1>to his shock, realizes that, my god, we're not even

0:38:44.760 --> 0:38:47.200
<v Speaker 1>have a test to do in the in the United States.

0:38:47.520 --> 0:38:50.320
<v Speaker 1>He turns the bio hub into it into the fastest,

0:38:50.400 --> 0:38:54.440
<v Speaker 1>biggest COVID testing lab in this area, maybe in the

0:38:54.480 --> 0:38:57.520
<v Speaker 1>country at one point, and starts to try to give

0:38:57.560 --> 0:39:02.600
<v Speaker 1>away free, free COVID testing and finds incredibly that as

0:39:02.880 --> 0:39:06.440
<v Speaker 1>starved as we are of COVID testing, that the system

0:39:06.600 --> 0:39:10.359
<v Speaker 1>is not equipped to take free stuff to take his help.

0:39:10.920 --> 0:39:14.919
<v Speaker 1>So local public health officers say, we don't have test

0:39:14.960 --> 0:39:17.719
<v Speaker 1>tubes are swabs to administer the test. He provides them

0:39:17.760 --> 0:39:20.800
<v Speaker 1>with that, we don't have fax machines to receive receive

0:39:20.920 --> 0:39:23.279
<v Speaker 1>the results. He provides them with that. I mean that

0:39:23.600 --> 0:39:27.200
<v Speaker 1>over and over. He's got to resource these public institutions

0:39:27.840 --> 0:39:30.960
<v Speaker 1>in order to get sort of receive his help. And Joe,

0:39:31.160 --> 0:39:32.840
<v Speaker 1>who had never heard of the public I mean, he

0:39:32.920 --> 0:39:34.480
<v Speaker 1>heard of it, but he didn't know anything about the

0:39:34.520 --> 0:39:37.239
<v Speaker 1>public health system until he starts to try to help it,

0:39:38.320 --> 0:39:43.640
<v Speaker 1>sees just how ossified, how corroded, how inapt and incapable

0:39:43.840 --> 0:39:45.879
<v Speaker 1>the system is, even though it's filled with like people

0:39:45.920 --> 0:39:49.600
<v Speaker 1>he admires, they just don't have the tools. Um, so

0:39:49.920 --> 0:39:52.239
<v Speaker 1>each of them. I mean, you just add the question

0:39:52.360 --> 0:39:53.839
<v Speaker 1>just asked me got to the heart of the story

0:39:53.880 --> 0:39:56.239
<v Speaker 1>of why. What interested me about the story? I have

0:39:56.440 --> 0:40:01.400
<v Speaker 1>these extraordinary characters trying to having to do extraordinary things

0:40:02.000 --> 0:40:03.960
<v Speaker 1>because the system that should have taken care of it

0:40:04.080 --> 0:40:08.720
<v Speaker 1>was broken, And the way they flounder about and tried

0:40:08.840 --> 0:40:13.239
<v Speaker 1>to try to operate inside the broken system is sort

0:40:13.280 --> 0:40:16.800
<v Speaker 1>of a portrait of the system. And it's the system

0:40:16.920 --> 0:40:20.640
<v Speaker 1>that is the endgame in the story. It's like, we

0:40:20.800 --> 0:40:23.560
<v Speaker 1>can't have this, like we we're not gonna survive if

0:40:23.560 --> 0:40:26.479
<v Speaker 1>our systems look like this, and these people are telling

0:40:26.600 --> 0:40:30.920
<v Speaker 1>us how how it looks, and so what's the solution?

0:40:31.000 --> 0:40:33.319
<v Speaker 1>I know, Dr Fauci told me we're living in an

0:40:33.440 --> 0:40:37.759
<v Speaker 1>age of pandemics, um, And I think you can talk

0:40:37.840 --> 0:40:43.239
<v Speaker 1>about any existential threat, not just a coronavirus, but anything

0:40:43.680 --> 0:40:47.680
<v Speaker 1>that the current systems or structure of government is not

0:40:47.920 --> 0:40:51.839
<v Speaker 1>capable of handling. So do you think there were real

0:40:52.040 --> 0:40:55.680
<v Speaker 1>lessons learned from this? Will things change or are you

0:40:55.880 --> 0:40:59.640
<v Speaker 1>fearful that it will remain as ossified as ever? I

0:40:59.719 --> 0:41:03.520
<v Speaker 1>act seemed prett hopeful. Uh and I'm pretty hopeful because

0:41:03.680 --> 0:41:07.120
<v Speaker 1>even though this country has this bizarre movement to declare

0:41:07.160 --> 0:41:10.040
<v Speaker 1>the whole thing a hoax, enough people's lives have been

0:41:10.080 --> 0:41:13.840
<v Speaker 1>disrupted and touched, and there's enough evidence from outside of

0:41:13.920 --> 0:41:17.120
<v Speaker 1>America just how awful it could be. But doesn't it

0:41:17.200 --> 0:41:21.279
<v Speaker 1>freak you out, Michael, that like Republican men refused to

0:41:21.320 --> 0:41:24.719
<v Speaker 1>be vaccinated. I mean, it's so crazy. You know, we're

0:41:24.920 --> 0:41:28.200
<v Speaker 1>we are, We're a byproduct of a long period of

0:41:28.400 --> 0:41:31.320
<v Speaker 1>basic prosperity and peace that we're we have the luxury

0:41:31.360 --> 0:41:35.160
<v Speaker 1>of being idiots that we won't survive if we're that way,

0:41:35.239 --> 0:41:37.879
<v Speaker 1>And I think that the more more existential the risk,

0:41:38.440 --> 0:41:42.200
<v Speaker 1>the quicker the society will respond and fix itself. I

0:41:42.239 --> 0:41:43.880
<v Speaker 1>think we have, Like I guess, I guess I think

0:41:44.040 --> 0:41:47.360
<v Speaker 1>about the country, it has a bizarre ability to bounce

0:41:47.400 --> 0:41:50.719
<v Speaker 1>in all kinds of directions and change. It's a very

0:41:50.920 --> 0:41:54.359
<v Speaker 1>changeable society. It's a young society in a way, uh,

0:41:54.960 --> 0:41:58.600
<v Speaker 1>and so as much weirdness as there is now, I

0:41:58.680 --> 0:42:01.759
<v Speaker 1>could see it bounce in a complete different direction. Yes,

0:42:01.880 --> 0:42:04.080
<v Speaker 1>we'll have always have some people who won't get vaccinated,

0:42:04.640 --> 0:42:07.600
<v Speaker 1>but I'm not terrified for our future. I actually think

0:42:07.920 --> 0:42:10.239
<v Speaker 1>these people you know this is our field. Here's an

0:42:10.280 --> 0:42:13.759
<v Speaker 1>analogy that that describes how I feel. We had this

0:42:13.880 --> 0:42:16.920
<v Speaker 1>team that just we had a catastrophic season. We had

0:42:16.960 --> 0:42:19.600
<v Speaker 1>all these resources and we just stuck it up. We

0:42:19.760 --> 0:42:22.759
<v Speaker 1>lost all our games. You asked me to go in

0:42:22.880 --> 0:42:25.960
<v Speaker 1>and evaluate the situation. Is maybe a person who might

0:42:26.000 --> 0:42:29.399
<v Speaker 1>be the next coach. If I walked in and I thought, Wow,

0:42:29.600 --> 0:42:32.320
<v Speaker 1>this team does suck. I don't want to be I

0:42:32.360 --> 0:42:34.440
<v Speaker 1>don't want to coach this team. There's a reason they

0:42:34.480 --> 0:42:37.239
<v Speaker 1>lost all these games. You know, I wouldn't take the job.

0:42:37.960 --> 0:42:40.399
<v Speaker 1>But I walk into this team and I write about

0:42:40.480 --> 0:42:43.279
<v Speaker 1>the team, and I see such talent. It's like, this

0:42:43.440 --> 0:42:45.960
<v Speaker 1>is an incredibly talented team. This is like the most

0:42:46.040 --> 0:42:48.960
<v Speaker 1>talented team. It's like giving me the Golden State Warriors

0:42:49.000 --> 0:42:51.400
<v Speaker 1>from three years ago and somehow they used to having

0:42:51.400 --> 0:42:53.839
<v Speaker 1>to lose all these games. Yeah, I'll take this job.

0:42:54.040 --> 0:42:56.320
<v Speaker 1>I can fix this because talent that it's hard to

0:42:56.560 --> 0:42:58.480
<v Speaker 1>you know, you know you got the talent, it just

0:42:58.600 --> 0:43:01.600
<v Speaker 1>needs to be organized. So the fact that we have

0:43:01.880 --> 0:43:04.879
<v Speaker 1>these resources, and I don't mean just material resources, these

0:43:04.920 --> 0:43:10.839
<v Speaker 1>inner resources, I think it's very hopeful. A huge thank

0:43:10.960 --> 0:43:13.920
<v Speaker 1>you to Michael Lewis and to Dr Joe Deresi of

0:43:14.000 --> 0:43:17.960
<v Speaker 1>the University of California's San Francisco and the chan Zuckerberg

0:43:18.080 --> 0:43:21.880
<v Speaker 1>bio Hub. Michael's new book is called The Premonition of

0:43:22.000 --> 0:43:29.120
<v Speaker 1>Pandemic Story and it's out now. Next Question with Katie

0:43:29.160 --> 0:43:31.680
<v Speaker 1>Kurik is a production of I Heart Media and Katie

0:43:31.719 --> 0:43:35.400
<v Speaker 1>Kurk Media. The executive producers are me, Katie Curic, and

0:43:35.600 --> 0:43:40.560
<v Speaker 1>Courtney Litz. The supervising producer is Lauren Hansen. Associate producers

0:43:40.760 --> 0:43:45.200
<v Speaker 1>Derek Clements, Adrianna Fassio, and Emily Pinto. The show is

0:43:45.400 --> 0:43:49.120
<v Speaker 1>edited and mixed by Derrick Clements. For more information about

0:43:49.160 --> 0:43:52.080
<v Speaker 1>today's episode, or to sign up for my morning newsletter,

0:43:52.160 --> 0:43:54.960
<v Speaker 1>wake Up Call, go to Katie Couric dot com. You

0:43:55.040 --> 0:43:57.680
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0:43:57.880 --> 0:44:01.239
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