WEBVTT - The Coronavirus Isn't Going Away

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<v Speaker 1>Pushkin from Pushkin Industries. This is Deep Background, the show

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<v Speaker 1>where we explore the stories behind the stories in the news.

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<v Speaker 1>I'm Noah Feld. Today we wanted to share with you

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<v Speaker 1>a special episode special because its subject matter just seemed

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<v Speaker 1>so pressing that we didn't think it was appropriate to wait.

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<v Speaker 1>We're going to talk to Mark Lipsch about the coronavirus

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<v Speaker 1>COVID nineteen. Mark isn't just another expert on these topics.

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<v Speaker 1>He's Professor of epidemiology at the Harvard chance School of

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<v Speaker 1>Public Health and director of the Center for Communicable Disease

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<v Speaker 1>Dynamics there. In other words, Mark is someone who has

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<v Speaker 1>spent his entire career trying to understand the behavior of

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<v Speaker 1>viruses and what they do when they spread around the world,

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<v Speaker 1>and he is at the forefront of analyzing what's going

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<v Speaker 1>on with the coronavirus right now in real time. What

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<v Speaker 1>Mark has to say is more than a little bit disturbing. Mark,

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<v Speaker 1>thank you so much for taking time out of your

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<v Speaker 1>busy schedules saving the world to talk to me. I'm

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<v Speaker 1>very very grateful, happy to do it. I want to

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<v Speaker 1>just start by diving into something that you said to

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<v Speaker 1>the Washington Post the other day, and I know because

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<v Speaker 1>I know you, that you said much more than this.

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<v Speaker 1>They quoted you as saying there was a chance, and

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<v Speaker 1>they didn't say how big a chance that forty to

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<v Speaker 1>seventy percent of the world's population could end up infected

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<v Speaker 1>with the coronavirus. And now knowing you, you would never

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<v Speaker 1>have said that unless you assign some probability to that judgment.

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<v Speaker 1>What did you actually say and what would you say

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<v Speaker 1>about that subject? That is a roughly correct quote I

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<v Speaker 1>should have said of the adult population, and I'm trying

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<v Speaker 1>to make amends for that, and I'll explain that in

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<v Speaker 1>a little bit. But I think that there's a very

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<v Speaker 1>good chance that we are in the beginning of a

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<v Speaker 1>pandemic of this novel coronavirus right now, and that pandemic

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<v Speaker 1>spread of that virus, given what we currently understand about

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<v Speaker 1>its epidemiology, is likely to infect something on that order

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<v Speaker 1>of the adult population. The reason for the adult qualification

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<v Speaker 1>is that we don't really understand what's going on with children.

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<v Speaker 1>They are very few known cases in children, and that

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<v Speaker 1>either means that they're not getting infected, or perhaps means

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<v Speaker 1>that they are getting infected, maybe transmitting, but just sufficiently

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<v Speaker 1>mild cases that we aren't detecting them with current surveillance.

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<v Speaker 1>So forty percent infected doesn't mean forty percent get very

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<v Speaker 1>very ill or that forty percent die, but it does

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<v Speaker 1>mean that some proportion of them get symptomatic. And of those,

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<v Speaker 1>the current estimates are that around one or two percent

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<v Speaker 1>may die, with a very much larger risk of dying

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<v Speaker 1>if you're over sixty five. So I really did say

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<v Speaker 1>essentially what they quoted me as saying, and with the

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<v Speaker 1>caveat about the adults, I still mean it. Mark what's

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<v Speaker 1>your confidence level in that forty to seventy percent estimate.

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<v Speaker 1>It's hard to put a number exactly on that sort

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<v Speaker 1>of hyper prior, but I think the justification for it

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<v Speaker 1>is that transmission of novel viruses with contagiousness level, which

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<v Speaker 1>we quantify as a reproductive number similar to this, is

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<v Speaker 1>something we've observed before, and that's influenza during pandemics, and

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<v Speaker 1>in the two largest pandemics of the twentieth century, around

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<v Speaker 1>thirty to almost forty percent of people became symptomatically infected.

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<v Speaker 1>And that's lower than the proportion that got infected because

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<v Speaker 1>some people don't get very sick even with flu. So

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<v Speaker 1>we have an analog which is one reason for that number,

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<v Speaker 1>And we also have mathematical models, which are simplifications of reality,

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<v Speaker 1>and we know that and we don't believe their outputs literally,

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<v Speaker 1>but mathematical models would say that it could be that

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<v Speaker 1>range or higher depending on how much mixing there is

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<v Speaker 1>in the population. So that's the basis for it. The

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<v Speaker 1>ways it could be wrong are if transmission outside of

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<v Speaker 1>China is fundamentally different in some way from transmission in Wohan,

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<v Speaker 1>if there's unexpectedly much benefit from warm or weather, we

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<v Speaker 1>expect that the seasonal changes will modestly reduce transmission, but

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<v Speaker 1>not very much and certainly not enough to stop it.

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<v Speaker 1>Or if interventions are sufficiently intensive as to stop the

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<v Speaker 1>spread or very much slow the spread. That I think

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<v Speaker 1>is a possible scenario, at least in certain play. It's

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<v Speaker 1>challenging because those interventions would have to be in place

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<v Speaker 1>for a very long time and will be very unpleasant

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<v Speaker 1>for many people, are worse than unpleasant. But I think

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<v Speaker 1>probably another qualification that should have gone into that forty

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<v Speaker 1>to seventy percent is in the absence of strong countermeasures.

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<v Speaker 1>Mark when you say interventions, you're picturing quarantines, shelter in place,

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<v Speaker 1>something stronger in terms of lockdown, what's the kind of

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<v Speaker 1>intervention that you're describing. They are kind of two categories.

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<v Speaker 1>The one that I think increasingly we think won't work

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<v Speaker 1>is isolation of cases and quarantine of their contacts and

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<v Speaker 1>then making them isolate. I mean, I think that will

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<v Speaker 1>be a part of it, and obviously people will self

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<v Speaker 1>isolate to protect their family and to protect their contacts

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<v Speaker 1>if they're sick, and because they're sick, they'll isolate to

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<v Speaker 1>some extent. But it looks like those kinds of interventions

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<v Speaker 1>by themselves probably aren't good enough for a virus like this,

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<v Speaker 1>where there seems to be evidence of at least some

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<v Speaker 1>transmission from people who are mildly ill or not yet ill.

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<v Speaker 1>So I think the complement to that and the sort

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<v Speaker 1>of more large scale interventions will be population level interventions

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<v Speaker 1>where they don't depend on knowing who's sick and who's transmitting,

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<v Speaker 1>and those are things like canceling public gatherings, potentially closing schools,

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<v Speaker 1>although the relevance of that is unclear until we understand

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<v Speaker 1>better how children are involved in transmission, and other kinds

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<v Speaker 1>of working from home and other kinds of ways of

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<v Speaker 1>reducing contact between people regardless of whether they're currently showing

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<v Speaker 1>any symptoms. And that's what the Chinese have successfully done,

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<v Speaker 1>among other things, is very much clamped down on letting

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<v Speaker 1>people out on the streets. As I understand it, there's

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<v Speaker 1>a sort of you can go out a certain frequency

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<v Speaker 1>per week, you have to have a pass, you get

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<v Speaker 1>your food and other supplies delivered with electronic payment. Not

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<v Speaker 1>every place can do that, but some places can do

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<v Speaker 1>that to some extent. I think China may be one

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<v Speaker 1>of the most able to do that of anywhere in

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<v Speaker 1>a world. I want to talk about consequences now for

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<v Speaker 1>a moment. In a world where let's say in the

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<v Speaker 1>United States, between forty and seventy percent of the adult

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<v Speaker 1>population is infected on a daily basis, when it reaches

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<v Speaker 1>that depth of penetration, I assume you can't diagnose that

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<v Speaker 1>forty to seventy percent of the people. You can only

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<v Speaker 1>diagnose the symptomatic ones because there's just too many people.

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<v Speaker 1>And so do people more or less go about their

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<v Speaker 1>daily lives, or everyone is expected to more or less

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<v Speaker 1>shelter in place, except for the people who are necessary

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<v Speaker 1>to preserve basic services. We're not going to identify every case,

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<v Speaker 1>as you say, for the reasons you say, it won't

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<v Speaker 1>be forty to seventy percent at the same time. Obviously

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<v Speaker 1>it will take it will go over some period of time.

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<v Speaker 1>And the problem is, even if we could diagnose every

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<v Speaker 1>one of those people, there seems to be some transmission

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<v Speaker 1>at least and maybe a fair amount of transmission from

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<v Speaker 1>people who are not yet diagnosed able. So that's why

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<v Speaker 1>I say there are these two categories of interventions, those

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<v Speaker 1>that depend on cases and those that depend on general

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<v Speaker 1>social distancing and for disinfection. It's looking for now, unless

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<v Speaker 1>our picture of it changes like the second category is

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<v Speaker 1>going to be more important. And unfortunately, as we'll see,

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<v Speaker 1>if China goes back to work as they're talking about doing,

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<v Speaker 1>those interventions only work while they're in place as long

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<v Speaker 1>as there's some virus still circulating. When you let up

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<v Speaker 1>on the interventions to keep people at home, transmission begins again.

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<v Speaker 1>So it's a real challenge. And the ways to get

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<v Speaker 1>to the end of it are either that enough will

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<v Speaker 1>get infected so that transmission can't take off again, and

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<v Speaker 1>given our current estimates, forty or fifty percent would be

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<v Speaker 1>enough to do that. The seventy percent scenario would be

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<v Speaker 1>the sort of tail end of that after the virus

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<v Speaker 1>is starting to go away. But if fifty percent, and

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<v Speaker 1>this is very rough because the numbers are changing about

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<v Speaker 1>how contagious this is every time I have a phone call,

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<v Speaker 1>but if say forty or fifty percent got infected, then

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<v Speaker 1>that would be enough to prevent new outbreaks in that

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<v Speaker 1>population until immunity declines, which it may do. So that's

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<v Speaker 1>one way, and all these control measures will make it

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<v Speaker 1>more likely that that happens, that the minimum number needed

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<v Speaker 1>rather than more than that minimum. And the other way

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<v Speaker 1>is that we delay it long enough to have a vaccine,

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<v Speaker 1>but I think the timescale for that is not realistic

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<v Speaker 1>to do that for most of the world, in most

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<v Speaker 1>of the unless we get extremely lucky with the quality

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<v Speaker 1>and producibility of the vaccines. I think I'm experiencing some

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<v Speaker 1>cognitive denial in listening to you, as I indeed I

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<v Speaker 1>was when I read your initial forty to seventy percent

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<v Speaker 1>estimate it. So I guess I'm wondering if you can

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<v Speaker 1>help me and help listeners in sort of taking on

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<v Speaker 1>board whether we just I'm just being irrational, you know,

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<v Speaker 1>is my denial irrational when I'm saying to myself, I

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<v Speaker 1>just can't picture a world where something like half of

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<v Speaker 1>the US population adult population has coronavirus, where we're sort

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<v Speaker 1>of looking at each other, where you know every other

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<v Speaker 1>person is infected at one point or another, where you know,

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<v Speaker 1>potentially in the United States, that would mean well over

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<v Speaker 1>a million people could die, and globally obviously much much, much,

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<v Speaker 1>much more. I mean, is my reaction just standard denialism,

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<v Speaker 1>or is there some underlying sense where maybe my skepticism

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<v Speaker 1>is warranted in light of the imperfection of statistical projections.

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<v Speaker 1>I think it depends on how on whether you can

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<v Speaker 1>find an reason to think that the pieces of the

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<v Speaker 1>projections are wrong. I mean, all projections could be wrong

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<v Speaker 1>for reasons that we can't imagine. So I'll give you

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<v Speaker 1>ten percent or even twenty percent chance that there's just

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<v Speaker 1>something nobody's thought of that is going to completely invalidate this.

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<v Speaker 1>Beyond that, you know, I've been thinking as hard as

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<v Speaker 1>I can because I don't like the conclusion either. I

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<v Speaker 1>think the data on which we're basing this are not

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<v Speaker 1>very good, So the bounds around what we're trying to

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<v Speaker 1>estimate are very large. But I mean, I think one

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<v Speaker 1>way to think of it is this is not an

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<v Speaker 1>existential threat as the people who think about those things

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<v Speaker 1>define it. This is a really potentially very bad thing

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<v Speaker 1>that could happen, that we'll touch many lives in a

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<v Speaker 1>bad way. But I think that's sort of how I'm

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<v Speaker 1>thinking about it, and it's not fun to think about.

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<v Speaker 1>You wrote a terrific piece in the Scientific American trying

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<v Speaker 1>to explain to the rest of us how we should

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<v Speaker 1>think about what we read any here. I think it

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<v Speaker 1>would be great for listeners if you would share your

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<v Speaker 1>three categories in your analysis, because I found it really helpful. Sure,

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<v Speaker 1>we wrote this because when I've been talking to journalists,

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<v Speaker 1>I find that I'm constantly trying to hedge and say

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<v Speaker 1>this is a fact, this is something I believe but

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<v Speaker 1>isn't yet resolved as true or false. And so the

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<v Speaker 1>three categories that we laid out with Bill Hannage, my colleague,

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<v Speaker 1>were that when scientists talk about this pandemic, they can

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<v Speaker 1>describe facts, they can describe informed inference, where facts are

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<v Speaker 1>at the base of it, but some extrapolation is being

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<v Speaker 1>made based on analogies to other viruses or information. We

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<v Speaker 1>know from different sources that we're putting together in a

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<v Speaker 1>particular way. And then the third category is opinion and

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<v Speaker 1>speculation on topics like other people's motives, which are sort

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<v Speaker 1>of irresolvable as matters of fact. But the first two

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<v Speaker 1>categories I think are interesting in that they're very fluid.

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<v Speaker 1>So matters like whether there was undetected transmission in many

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<v Speaker 1>countries that were matters of speculation informed by some calculations

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<v Speaker 1>and facts are now becoming matters of fact, meaning we

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<v Speaker 1>now know there were a lot of undetected cases in Italy,

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<v Speaker 1>there were a lot of undetected cases in Iran. A

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<v Speaker 1>week ago, there were no detected cases in either place,

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<v Speaker 1>and I wouldn't have picked those as the countries I

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<v Speaker 1>would expect first to pop up. I would have picked

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<v Speaker 1>perhaps Indonesia or some other countries, and I got a

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<v Speaker 1>lot of flak for that. But the fact is now

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<v Speaker 1>we know there are cases in a bunch of countries

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<v Speaker 1>where we were just speculating that because of the low

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<v Speaker 1>amount of testing we couldn't know, and there probably was some.

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<v Speaker 1>So I think in this epidemic, hopefully most topics are

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<v Speaker 1>moving up the list from speculation informed by facts to

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<v Speaker 1>real facts. But the public health surveillance system is not

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<v Speaker 1>set up, unfortunately, to provide factual answers to all these

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<v Speaker 1>questions at once, because we just don't have ways of

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<v Speaker 1>detecting things we've never seen before until we invent them,

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<v Speaker 1>and then those have to be rolled out. And so,

0:14:43.836 --> 0:14:46.916
<v Speaker 1>for example, diagnostic testing is still a very very limiting

0:14:47.436 --> 0:14:51.556
<v Speaker 1>factor in many countries, including the US. So we don't

0:14:51.596 --> 0:14:53.596
<v Speaker 1>know how many cases there are in this country because

0:14:53.636 --> 0:14:57.356
<v Speaker 1>we're testing only people who have contacts with China or

0:14:57.356 --> 0:14:59.996
<v Speaker 1>with known cases. And so if somebody was missed in

0:14:59.996 --> 0:15:03.436
<v Speaker 1>this country coming through the border, then anyone they infected,

0:15:03.436 --> 0:15:07.156
<v Speaker 1>and anyone those people infected and so on is untestable

0:15:07.236 --> 0:15:11.356
<v Speaker 1>under current protocols. That will change eventually, but at the moment,

0:15:11.356 --> 0:15:13.356
<v Speaker 1>we can't see them because we're not looking at them.

0:15:13.556 --> 0:15:15.916
<v Speaker 1>And I take it that in your view, it's overwhelmingly

0:15:15.996 --> 0:15:18.556
<v Speaker 1>probable that there are such people. I mean, you say

0:15:18.596 --> 0:15:21.756
<v Speaker 1>you got flack for expecting more cases in Indonesia, but

0:15:21.796 --> 0:15:23.876
<v Speaker 1>really you should get some credit for saying that there

0:15:23.876 --> 0:15:27.356
<v Speaker 1>were going to be undetected cases, you know, somewhere, and

0:15:27.516 --> 0:15:29.276
<v Speaker 1>sure enough there were, So in that sense, there was

0:15:29.276 --> 0:15:34.556
<v Speaker 1>a validation of your position. Thank you. I agree. I

0:15:34.596 --> 0:15:38.276
<v Speaker 1>think that it's very very likely that there are cases,

0:15:38.956 --> 0:15:41.436
<v Speaker 1>many cases in this country that have not been detected.

0:15:41.436 --> 0:15:45.556
<v Speaker 1>And reading between the lines of statements from CDC officials,

0:15:45.556 --> 0:15:49.236
<v Speaker 1>including the director last week or two weeks ago, it

0:15:49.356 --> 0:15:52.556
<v Speaker 1>seems as if they think that's probably true also in

0:15:52.596 --> 0:15:56.956
<v Speaker 1>that they're saying they expect ongoing transmission. Robert Redfield, the director,

0:15:56.996 --> 0:15:59.516
<v Speaker 1>said that he expected that this would be to come

0:15:59.556 --> 0:16:03.036
<v Speaker 1>the next seasonal virus and which would be just with

0:16:03.116 --> 0:16:07.276
<v Speaker 1>us for the long term. You're forty to seventy percent

0:16:07.916 --> 0:16:10.956
<v Speaker 1>in the adult population, as is that in category two

0:16:10.996 --> 0:16:15.076
<v Speaker 1>for you? That's you know, an inference based on based

0:16:15.116 --> 0:16:19.596
<v Speaker 1>on facts, yes, facts, models and analogies. And do you

0:16:19.676 --> 0:16:21.916
<v Speaker 1>want to just say a word for listeners who might

0:16:21.956 --> 0:16:25.636
<v Speaker 1>be interested about how you build those models. I'm fascinated

0:16:25.636 --> 0:16:28.076
<v Speaker 1>by this. How do you go about doing this the

0:16:28.076 --> 0:16:29.956
<v Speaker 1>rest of the time when you're not you know, all

0:16:29.996 --> 0:16:33.076
<v Speaker 1>the preparation as it were, for when a potential pandemic

0:16:33.116 --> 0:16:35.396
<v Speaker 1>actually does it and suddenly you're, you know, on the

0:16:35.396 --> 0:16:37.596
<v Speaker 1>front page of the newspapers making your predictions. But the

0:16:37.596 --> 0:16:39.796
<v Speaker 1>rest of the time you're building the models and gathering

0:16:39.836 --> 0:16:42.316
<v Speaker 1>the data. How do you go about that at the

0:16:42.396 --> 0:16:45.436
<v Speaker 1>at the broadest level of generality. Yeah, So I think

0:16:45.876 --> 0:16:50.156
<v Speaker 1>the models that we work with are that they're base

0:16:50.316 --> 0:16:53.076
<v Speaker 1>very simple. They they are models in which, in a

0:16:53.076 --> 0:16:57.796
<v Speaker 1>computer or on a mathematical formula, you take one infectious

0:16:57.836 --> 0:17:01.436
<v Speaker 1>individual and one susceptible individual. They bump into each other

0:17:02.276 --> 0:17:06.436
<v Speaker 1>figuratively and create another infectious individual out of the susceptible.

0:17:06.596 --> 0:17:08.836
<v Speaker 1>So it's like a chemical reaction A S plus I

0:17:09.356 --> 0:17:13.796
<v Speaker 1>too I susceptible plus infected equals to infected, and then

0:17:13.876 --> 0:17:18.916
<v Speaker 1>the other chemical reaction is infected yields recovered over some timescale.

0:17:19.516 --> 0:17:23.276
<v Speaker 1>That's at the heart of all of these models. So

0:17:24.076 --> 0:17:26.356
<v Speaker 1>in the very simplest version of this, where we're all

0:17:26.396 --> 0:17:30.596
<v Speaker 1>like little atoms bouncing around in an ideal gas, if

0:17:30.636 --> 0:17:33.076
<v Speaker 1>you build that model and put the parameters in that

0:17:33.236 --> 0:17:38.596
<v Speaker 1>have been measured and estimated for this virus, you run

0:17:38.636 --> 0:17:41.876
<v Speaker 1>it to its end and you end up with about

0:17:42.396 --> 0:17:45.116
<v Speaker 1>eighty to ninety percent of the population infected, depending on

0:17:45.116 --> 0:17:48.676
<v Speaker 1>which numbers you put in. But we know that people

0:17:48.716 --> 0:17:52.476
<v Speaker 1>are not ideal gases, and there's structure in the population,

0:17:52.636 --> 0:17:58.396
<v Speaker 1>and there's seasonal variability, and there's different levels of susceptibility

0:17:58.476 --> 0:18:02.276
<v Speaker 1>and different age groups and things, and so when you're

0:18:02.276 --> 0:18:05.996
<v Speaker 1>building a model for an infection that you know something

0:18:06.036 --> 0:18:09.596
<v Speaker 1>about and where there's already data, you can upbrate all

0:18:09.636 --> 0:18:14.036
<v Speaker 1>of those types of heterogeneity based on measurements from the data,

0:18:14.156 --> 0:18:16.716
<v Speaker 1>sometimes with more certainty and sometimes with less, and then

0:18:16.756 --> 0:18:19.556
<v Speaker 1>you can run the model and see what happens. And

0:18:19.756 --> 0:18:23.476
<v Speaker 1>usually the almost always the ideal gas kind of approximation

0:18:23.596 --> 0:18:27.276
<v Speaker 1>is the worst case, and all the structure tends to

0:18:27.276 --> 0:18:30.476
<v Speaker 1>reduce infection levels, which is one reason I wouldn't have

0:18:30.636 --> 0:18:35.996
<v Speaker 1>put eighty percent out there. So that's kind of the approach,

0:18:36.036 --> 0:18:39.156
<v Speaker 1>and then there are many kind of curly cues you

0:18:39.196 --> 0:18:41.756
<v Speaker 1>can build on top of it that are ways of

0:18:41.876 --> 0:18:46.676
<v Speaker 1>accommodating the particularities of certain infections. Like some infections there's

0:18:46.716 --> 0:18:50.276
<v Speaker 1>a carrier state where you're not sick, but you are transmitting.

0:18:51.236 --> 0:18:54.276
<v Speaker 1>Some infections you become immune and you stay immune. Others

0:18:54.316 --> 0:18:56.636
<v Speaker 1>you become a little more immune, and then a little

0:18:56.636 --> 0:19:00.196
<v Speaker 1>more immune after multiple exposures. So you can elaborate that

0:19:00.236 --> 0:19:06.076
<v Speaker 1>basic structure, but the fundamental idea is that you're catalyzing

0:19:06.076 --> 0:19:09.036
<v Speaker 1>new infections with old infections, and then people are recovering

0:19:10.036 --> 0:19:13.596
<v Speaker 1>and everything else is a variation on that mark, What

0:19:13.636 --> 0:19:17.356
<v Speaker 1>are you doing in your own real life to prepare

0:19:17.396 --> 0:19:20.076
<v Speaker 1>for this? I mean from what you're doing for your

0:19:20.076 --> 0:19:24.116
<v Speaker 1>family to did you cash out your your retirement accounts

0:19:24.156 --> 0:19:26.036
<v Speaker 1>out of the market and go into cash. I mean,

0:19:26.356 --> 0:19:28.956
<v Speaker 1>I just really curious, in practical, real world terms, what

0:19:29.236 --> 0:19:32.716
<v Speaker 1>are you doing? Yeah, I mean, I think at the moment,

0:19:32.716 --> 0:19:35.156
<v Speaker 1>we're all we're all a little in denial because this

0:19:35.196 --> 0:19:40.236
<v Speaker 1>doesn't seem it really doesn't feel real because nothing's happening

0:19:40.476 --> 0:19:46.556
<v Speaker 1>visibly in our country. So it's a process and I

0:19:46.596 --> 0:19:49.436
<v Speaker 1>think we're all kind of coming to the idea that

0:19:49.716 --> 0:19:53.116
<v Speaker 1>if this scenario plays out as it feels like it might,

0:19:53.676 --> 0:19:57.956
<v Speaker 1>then we might be doing a lot of work from home,

0:19:59.116 --> 0:20:01.836
<v Speaker 1>we might have our schools canceled for goodness knows how

0:20:01.876 --> 0:20:05.716
<v Speaker 1>many months, and in the short term, you know, the

0:20:05.756 --> 0:20:11.356
<v Speaker 1>recommendations from the government about getting supplies of essential goods,

0:20:11.396 --> 0:20:16.676
<v Speaker 1>including medications, seem like a good idea to me. Not

0:20:16.836 --> 0:20:19.756
<v Speaker 1>a year's supply, but a ninety days supply is what

0:20:20.036 --> 0:20:23.996
<v Speaker 1>they often recommend, and so we are trying to do that. Obviously,

0:20:24.156 --> 0:20:26.476
<v Speaker 1>the ability to do that is a luxury that not

0:20:26.596 --> 0:20:30.116
<v Speaker 1>everybody has, and that's a problem. I mean, what are

0:20:30.116 --> 0:20:32.796
<v Speaker 1>people anticipated to do about food if they're sheltering in

0:20:32.796 --> 0:20:35.036
<v Speaker 1>place in that way. Well, I think that's a really

0:20:35.076 --> 0:20:37.916
<v Speaker 1>good question. I'm kind of astonished how well it seems

0:20:37.956 --> 0:20:41.876
<v Speaker 1>to have worked from what I hear in China and

0:20:42.236 --> 0:20:46.076
<v Speaker 1>my friends attribute that to the completely electronic economy. That

0:20:46.116 --> 0:20:50.316
<v Speaker 1>everybody uses phones to pay for things with one of

0:20:50.316 --> 0:20:53.276
<v Speaker 1>the two systems that they have there, and so that

0:20:53.636 --> 0:20:56.436
<v Speaker 1>eases things. So everything is basically being delivered. In other words,

0:20:56.476 --> 0:20:59.236
<v Speaker 1>it's all being paid for electronically and delivered. Everything's being delivered,

0:20:59.236 --> 0:21:01.236
<v Speaker 1>but of course there have to be delivery people, and

0:21:01.316 --> 0:21:04.156
<v Speaker 1>those people have to have some contact with one another

0:21:04.196 --> 0:21:08.796
<v Speaker 1>and with the warehouse, etc. And this has been thought

0:21:08.796 --> 0:21:12.636
<v Speaker 1>through bit in this country for just this reason, when

0:21:12.636 --> 0:21:16.316
<v Speaker 1>people were more concerned about bird flu pandemics a decade ago.

0:21:17.156 --> 0:21:20.036
<v Speaker 1>So I think we will have to see, and it's

0:21:20.036 --> 0:21:22.916
<v Speaker 1>not my expertise, but I'm concerned about that as well.

0:21:23.636 --> 0:21:25.956
<v Speaker 1>What am I not asking you that you think is

0:21:25.996 --> 0:21:31.716
<v Speaker 1>important for people to hear in terms of preparing. I

0:21:31.756 --> 0:21:35.156
<v Speaker 1>think the things that I described and just sort of

0:21:35.836 --> 0:21:40.476
<v Speaker 1>mentally getting in the into the idea that there is

0:21:40.836 --> 0:21:44.716
<v Speaker 1>a possibility, a significant possibility of a really disrupted time

0:21:45.596 --> 0:21:50.276
<v Speaker 1>is kind of my major recommendation and making some material

0:21:50.356 --> 0:21:53.476
<v Speaker 1>plans for that, in so far as people can Where

0:21:53.476 --> 0:21:55.796
<v Speaker 1>should people look up guidance on this? If they're not

0:21:55.796 --> 0:21:57.916
<v Speaker 1>sure what are the essential medicines? I'm not sure? I

0:21:57.996 --> 0:21:59.356
<v Speaker 1>know what are the essential medicines I ought to have

0:21:59.356 --> 0:22:02.716
<v Speaker 1>for ninety days? Right? Well, what you have prescribed to you.

0:22:02.956 --> 0:22:06.836
<v Speaker 1>There's not very many essential non prescription medicines, but right

0:22:06.996 --> 0:22:13.356
<v Speaker 1>maybe some painkiller or anti fever medications. And there's a

0:22:13.356 --> 0:22:17.436
<v Speaker 1>good website called ready dot gov slash pandemic which has

0:22:17.716 --> 0:22:21.076
<v Speaker 1>got some of that information on it. You know. Politically,

0:22:21.876 --> 0:22:24.956
<v Speaker 1>I think it would be good if people recognize that

0:22:24.996 --> 0:22:30.236
<v Speaker 1>the administration has just asked for a tiny appropriation of

0:22:30.276 --> 0:22:32.476
<v Speaker 1>two and a half billion dollars to deal with this,

0:22:33.076 --> 0:22:35.996
<v Speaker 1>half of which is supposed to come from Ebola funding

0:22:36.756 --> 0:22:40.156
<v Speaker 1>that was not yet spent. That's not a serious response,

0:22:40.516 --> 0:22:46.316
<v Speaker 1>and I hope that people will recognize that and press

0:22:46.356 --> 0:22:49.956
<v Speaker 1>for more. I hope they will demand better leadership than

0:22:49.996 --> 0:22:54.836
<v Speaker 1>having the President say repeatedly again recently, that this is

0:22:54.876 --> 0:22:57.436
<v Speaker 1>all going to go away the way SARS did. SARS

0:22:57.476 --> 0:23:01.236
<v Speaker 1>didn't go away. SARS was beaten back with very intensive measures,

0:23:01.796 --> 0:23:05.036
<v Speaker 1>and this is much bigger than SARS, so I think

0:23:05.076 --> 0:23:08.956
<v Speaker 1>there's the political dimension to it. I'm concerned also about

0:23:09.196 --> 0:23:13.996
<v Speaker 1>the impact on our elections. If the virus really does

0:23:14.196 --> 0:23:17.276
<v Speaker 1>start to be detected in more places in the United States,

0:23:17.916 --> 0:23:21.116
<v Speaker 1>I think it could lead to people not wanting to

0:23:21.156 --> 0:23:24.476
<v Speaker 1>go vote in the primaries. I think that could be

0:23:25.316 --> 0:23:29.956
<v Speaker 1>used by various sides to try to make mischief over

0:23:29.996 --> 0:23:34.756
<v Speaker 1>the results. You know, I think there are lots of

0:23:35.596 --> 0:23:38.996
<v Speaker 1>downstream consequences that will understand better when we see them,

0:23:39.676 --> 0:23:44.116
<v Speaker 1>But those are some of my concerns. Mark. I'm really

0:23:44.156 --> 0:23:48.236
<v Speaker 1>grateful to you for speaking so clearly and so calmly

0:23:48.436 --> 0:23:51.356
<v Speaker 1>about something that, as you say, doesn't really feel real

0:23:51.476 --> 0:23:55.476
<v Speaker 1>yet and therefore is really susceptible to our powerful instinct

0:23:55.516 --> 0:23:57.556
<v Speaker 1>to deny. But you know, as we all know, denying

0:23:57.596 --> 0:23:59.916
<v Speaker 1>something doesn't mean it's not going to happen. So I

0:23:59.956 --> 0:24:02.236
<v Speaker 1>think we all do need to change our mindset and

0:24:02.276 --> 0:24:05.556
<v Speaker 1>start being a little more realistic about what the probabilities

0:24:05.556 --> 0:24:07.436
<v Speaker 1>are as as you've laid them out. So I just

0:24:07.476 --> 0:24:10.156
<v Speaker 1>want to really thank you for the time to clarify

0:24:10.196 --> 0:24:11.996
<v Speaker 1>this and first saying a little bit about how you

0:24:12.036 --> 0:24:15.156
<v Speaker 1>reach these conclusions. Getting behind the story can also help us.

0:24:15.516 --> 0:24:18.436
<v Speaker 1>I think get to terms with the reality. So really,

0:24:18.476 --> 0:24:21.316
<v Speaker 1>thank you very very much for what you're doing. Thank

0:24:21.356 --> 0:24:30.356
<v Speaker 1>you for having me. Having spoken to Mark, I still

0:24:30.396 --> 0:24:33.436
<v Speaker 1>am having trouble with my sense of unreality. I just

0:24:33.476 --> 0:24:36.356
<v Speaker 1>don't want to believe what he's telling us about the

0:24:36.356 --> 0:24:40.236
<v Speaker 1>forty to seventy percent number of adults around the world

0:24:40.556 --> 0:24:44.196
<v Speaker 1>who can end up infected with the coronavirus. And yet

0:24:44.276 --> 0:24:47.956
<v Speaker 1>at the same time, I know I'm talking to Mark Lipsitch.

0:24:48.236 --> 0:24:53.716
<v Speaker 1>I'm talking to a calm, reasonable, extremely brilliant epidemiologist who's

0:24:53.796 --> 0:24:57.316
<v Speaker 1>made a career of studying the questions that he's working on. Now,

0:24:57.956 --> 0:25:00.996
<v Speaker 1>if he's not the expert to be believed, there is

0:25:01.156 --> 0:25:04.116
<v Speaker 1>no expert to be believed. So I think what I'm

0:25:04.156 --> 0:25:05.876
<v Speaker 1>going to be trying to do going forward, and maybe

0:25:05.876 --> 0:25:08.116
<v Speaker 1>you'll choose to do the same, is to try to

0:25:08.356 --> 0:25:11.476
<v Speaker 1>update my understanding of where we are and where we're

0:25:11.556 --> 0:25:15.956
<v Speaker 1>going on the basis of his data. When I do that,

0:25:16.196 --> 0:25:19.556
<v Speaker 1>I admit it makes me afraid. But Mark also said

0:25:19.796 --> 0:25:22.996
<v Speaker 1>very calmly that this is not an existential threat, or

0:25:22.996 --> 0:25:25.436
<v Speaker 1>at least it's not an existential threat to society as

0:25:25.436 --> 0:25:28.116
<v Speaker 1>a whole. So perhaps we can take a deep breath

0:25:28.596 --> 0:25:32.796
<v Speaker 1>and perhaps take some small solace in that, even as

0:25:32.796 --> 0:25:35.916
<v Speaker 1>we prepare ourselves for what could be a long and

0:25:36.196 --> 0:25:40.556
<v Speaker 1>very difficult ride. Deep Background is brought to you by

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<v Speaker 1>Pushkin Industries. Our producer is Lydia Genecott, with studio recording

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<v Speaker 1>Our showrunner is Sophie mckibbn. Our theme music is composed

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<v Speaker 1>by Luis Garat special thanks to the Pushkin Brass, Malcolm Gladwell,

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<v Speaker 1>Jacob Weisberg, and Mia Lobel. I'm Noah Feldman. You can

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<v Speaker 1>follow me on Twitter at Noah R. Feldman. This is

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