WEBVTT - A Nobel Prize Winner’s Suggestion for Fixing the Economy

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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 Feldman, and we are still talking about coronavirus

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<v Speaker 1>in particular. We're going to talk today about the interaction

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<v Speaker 1>between the virus and the economy. How soon can we

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<v Speaker 1>go back to work? How safe will that be? How

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<v Speaker 1>unsafe will we be if we don't look out for

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<v Speaker 1>the economy. To discuss these very difficult issues, I spoke

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<v Speaker 1>to Paul Romer, a Nobel winning economist at New York University.

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<v Speaker 1>He used to be the chief economist of the World Bank,

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<v Speaker 1>and he's been thinking hard about this subject. Paul, thank

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<v Speaker 1>you very much for joining me. I want to start

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<v Speaker 1>with a very influential essay that you and Alan Garber,

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<v Speaker 1>the provost at Harvard, published in the New York Times,

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<v Speaker 1>where you were the first I would say serious people

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<v Speaker 1>to put in a major public venue the economic concerns

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<v Speaker 1>about what we do about coronavirus on a par with

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<v Speaker 1>the public health concerns, or in relation to the public

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<v Speaker 1>health concerns. Describe to me, if you will, your current

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<v Speaker 1>thinking on that very challenging question. Yeah. I mean to

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<v Speaker 1>be honest, I think there were a lot of people

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<v Speaker 1>who were recognizing the size of the economic cost that

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<v Speaker 1>we were going to bear. I think what was distinctive

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<v Speaker 1>about our op ED was a very specific proposal about

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<v Speaker 1>how to craft a middle ground where we get out

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<v Speaker 1>of this trap where we either have to kill the

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<v Speaker 1>economy or killed lives. So if I can, let me

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<v Speaker 1>just try and explain the basics of the challenge, please do.

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<v Speaker 1>There's this notion of the replication rate. If one person

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<v Speaker 1>is infected, how many new people does that person infect?

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<v Speaker 1>What people call the R not or the R zero

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<v Speaker 1>yep ur zero are not a replication rate. That number

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<v Speaker 1>has to be less than one to keep the pandemic

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<v Speaker 1>in check. If it goes above one, then it just

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<v Speaker 1>grows like wildfire. Social distance is one way to get

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<v Speaker 1>it below one, but of course it's really hurting the economy.

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<v Speaker 1>The way to keep it below one that is guaranteed

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<v Speaker 1>to work is find the people who are infected and

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<v Speaker 1>isolate them. Now, right now, what we're doing is we're

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<v Speaker 1>isolating everybody because we don't know who's infected. So all

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<v Speaker 1>we need to do is switch to a strategy where

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<v Speaker 1>we're testing everybody with regularity. As soon as we find

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<v Speaker 1>somebody who's positive, we have them go into isolation for

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<v Speaker 1>say two weeks, and that's all it takes to get

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<v Speaker 1>on a path where this pandemic is dying out, and

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<v Speaker 1>we can stick with that policy as long as it

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<v Speaker 1>takes to get a vaccine, which is the other way

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<v Speaker 1>to protect ourselves. So all it takes is to figure

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<v Speaker 1>out who it is who's infectious and to isolate them

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<v Speaker 1>without isolating lots of people who could otherwise just go

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<v Speaker 1>back to daily life and work. I am not an epidemiologist,

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<v Speaker 1>and I want to be clear about the caveat to

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<v Speaker 1>that to that effect, but I want to ask a

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<v Speaker 1>question that's informed by my conversations with epidemiologists and what

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<v Speaker 1>I'm reading, and it's this, under circumstances where we already

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<v Speaker 1>have community spread, unless everyone we're tested nearly every day,

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<v Speaker 1>isn't there a substantial risk that even testing every week

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<v Speaker 1>or every ten days, which requires a tremendous number of tasks,

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<v Speaker 1>much greater than I think it seems realistic, at least

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<v Speaker 1>according to what I've read, for us to be able

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<v Speaker 1>to produce in the next few months, would leave open

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<v Speaker 1>the possibility of continued spread. I mean, your key line

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<v Speaker 1>is all we have to do is but the question is,

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<v Speaker 1>you know, is that in fact doable? We don't want

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<v Speaker 1>to be the people in the punchline of an economist

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<v Speaker 1>joke who assumed they can opener. No, I hear you,

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<v Speaker 1>And this is a good way to phrase the question.

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<v Speaker 1>Here's the way I would respond to the epidemiologists. It's

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<v Speaker 1>that you guys are supposed to be the ones who

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<v Speaker 1>take the numbers seriously, so do the numbers here. What

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<v Speaker 1>they're saying is something like, oh, we can't get enough testing,

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<v Speaker 1>so my gosh, you'd have to test people every every day.

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<v Speaker 1>That's just not true. All you have to do is

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<v Speaker 1>do the numbers here. If you tested people on average

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<v Speaker 1>about once every two weeks, and even if your test

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<v Speaker 1>has what they call a false negative rate, you fail

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<v Speaker 1>to catch some people who are actually infectious. Even under

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<v Speaker 1>those circumstances, you can get rzro below one. And I'm

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<v Speaker 1>really disappointed and want to challenge them. Why do they

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<v Speaker 1>switch into this kind of know nothing mode of that

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<v Speaker 1>just won't work? And then they the ones who claim

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<v Speaker 1>they're the ones who do the math, they just stop

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<v Speaker 1>doing the math. Now, let me be clear about what

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<v Speaker 1>it would mean to test people on average about once

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<v Speaker 1>every two weeks. This means running about twenty million tests

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<v Speaker 1>a day. That is a huge expansion in the testing

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<v Speaker 1>capacity that we have, and it's never been the case

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<v Speaker 1>that public health authorities had the kind of resources to

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<v Speaker 1>do that kind of testing. So I understand why they're

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<v Speaker 1>saying it's not possible, but just think about other cases

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<v Speaker 1>where we've done something like this. The TSA screens about

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<v Speaker 1>five million Americans a day, and you know, you could

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<v Speaker 1>have imagined a time before nine to eleven where people

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<v Speaker 1>were saying, oh my god, you could never screen all

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<v Speaker 1>people who get on airplanes. That's just impossible. And you know,

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<v Speaker 1>so we have to stop flying because we might have

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<v Speaker 1>a terrorist attack or something. You know, if we're serious

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<v Speaker 1>about scaling out to millions a day, we've got this

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<v Speaker 1>economy that could produce twenty trillion dollars worth of value.

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<v Speaker 1>We've got sixty million workers. We could organize ourselves to

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<v Speaker 1>administer twenty million tests a day. It's really not that

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<v Speaker 1>big a challenge. It isn't something that was ever available

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<v Speaker 1>to public health authorities before, but we could easily decide

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<v Speaker 1>to do it now. And I really want to just

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<v Speaker 1>insist and I'm going to get aggressive about this. The

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<v Speaker 1>epidemiologists can't just go into know nothing mode and dismiss

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<v Speaker 1>this without actually doing the math and engaging seriously. So

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<v Speaker 1>I think that many epidemiologists that I know at least

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<v Speaker 1>would say, it's not that we're not doing the math

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<v Speaker 1>at all. That they say, you know, we live on

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<v Speaker 1>math and we're not ignoring the math. I think that's

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<v Speaker 1>the first thing they would say. The second thing I

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<v Speaker 1>think they would say is that they have to recognize

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<v Speaker 1>not the normative claim that we ought to or we

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<v Speaker 1>might be able to generate twenty million tests a day,

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<v Speaker 1>but rather the predictive claim, because they engage in minute

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<v Speaker 1>a minute prediction too of whether this particular president, with

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<v Speaker 1>this particular configuration of economic forces facing him, is even

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<v Speaker 1>plausibly capable of doing what you think we normatively ought

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<v Speaker 1>to do. And I think someone would say, we concede

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<v Speaker 1>that it would, we should have twenty million testing. I've

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<v Speaker 1>not heard any of bidemiologists saying, oh, it doesn't matter

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<v Speaker 1>about the test. They all say we need the testing

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<v Speaker 1>we need in a very serious way. But if they

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<v Speaker 1>have a different assessment of the empirical probabilities. Well, yeah,

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<v Speaker 1>let me let me just say, you know, I understand that,

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<v Speaker 1>but I think people have to you know, stick to

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<v Speaker 1>their area of expertise. They understand the math of these models.

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<v Speaker 1>They're not experts in politics, public expenditure, mobilization. I don't

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<v Speaker 1>think they're the ones who should make for everybody the

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<v Speaker 1>judgment about what's politically feasible, and then, worst of all,

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<v Speaker 1>having made that judgment, hide it behind some phony assertion

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<v Speaker 1>like you'd have to test people ever every day. What

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<v Speaker 1>they should say, I think is the same thing I'm saying,

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<v Speaker 1>which is like, look, if you want to be sure

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<v Speaker 1>you're below with R zero below one, at any level

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<v Speaker 1>of prevalenced the United States, you're going to need to

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<v Speaker 1>test something like twenty million people a day. And then

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<v Speaker 1>let's leave it to others to figure out if setting

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<v Speaker 1>ourselves up to do that kind of testing would actually

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<v Speaker 1>be less costly than continuing to do what we're doing

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<v Speaker 1>to the economy. I think some epidemiologists, at least privately

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<v Speaker 1>worry that if they say more or less what you're saying,

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<v Speaker 1>that that's an invitation to the Trump administration to say,

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<v Speaker 1>even without the twenty million tests a day, we can

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<v Speaker 1>return to greater degree of normalcy, and that if that happens,

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<v Speaker 1>it could genuinely lead to a public health disaster. Yeah,

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<v Speaker 1>but let me just jump in, just head on in this,

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<v Speaker 1>because this is exactly the thing I've been saying to economists.

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<v Speaker 1>I would say exactly these things to anybody in science.

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<v Speaker 1>You cannot tell people things that are just factually untrue

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<v Speaker 1>because you think that the political spin is such that

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<v Speaker 1>will get better outcomes that way. And I'll give you

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<v Speaker 1>a very clear example of how this is coming back

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<v Speaker 1>to bite us. The WHO and some supporting authorities said, oh,

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<v Speaker 1>masks don't help, so don't use masks. Now, it's just

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<v Speaker 1>not true. If you've got everybody who goes out in

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<v Speaker 1>New York City, for example, to wear a mask, that

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<v Speaker 1>could reduce our zero The reason they said something that

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<v Speaker 1>wasn't true is because they were worried, quite reasonably, that

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<v Speaker 1>we don't have enough masks. That were worried if people

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<v Speaker 1>ran out to buy masks, we wouldn't have masks for

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<v Speaker 1>the people in the hospitals who need them the most.

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<v Speaker 1>But it was a huge mistake to say something that

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<v Speaker 1>was misleading, bordering on being false. To try and achieve

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<v Speaker 1>a good outcome. What scientists need to do is stick

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<v Speaker 1>to what's true, protect our credibility, and then tell others well,

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<v Speaker 1>given that it's true that masks will protect people, you

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<v Speaker 1>may face a sudden surge in the demand for masks.

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<v Speaker 1>You better move right away to make sure that your

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<v Speaker 1>hospital workers have the masks. They get the first in

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<v Speaker 1>line to get those masks. But we just should have

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<v Speaker 1>stuck to the truth there. And my answer to the

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<v Speaker 1>epidemiologist right now is the same. I don't see any

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<v Speaker 1>danger in saying consistently, if we test on the scale

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<v Speaker 1>of twenty million people a day and we isolate everybody

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<v Speaker 1>who's positive, everybody else can return to work and we

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<v Speaker 1>can contain this pandemic. And if you need to go

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<v Speaker 1>on and say, if we just start sending people to

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<v Speaker 1>work without testing, without any strategy for identifying who's positive

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<v Speaker 1>and isolating them, we will kill hundreds of thousands of people.

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<v Speaker 1>I just don't see why those are hard statements to

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<v Speaker 1>make clearly and directly to the public. We'll be back

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<v Speaker 1>in just a moment. I want to ask you about

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<v Speaker 1>this potential disciplinary gap that you're describing, and maybe I

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<v Speaker 1>should be more aggressive and say maybe there's even a

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<v Speaker 1>disciplinary war that's emerging. And roughly speaking, there are the epidemiologists,

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<v Speaker 1>most of whom also have mds as well as new

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<v Speaker 1>degrees in public health or statistics on the one hand,

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<v Speaker 1>and on the other hand are economists, and each is

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<v Speaker 1>sort of in his or her element, because the public

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<v Speaker 1>health epidemiologists are spending their whole lives studying what happens

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<v Speaker 1>when disease spreads, and disease is greatly dangerous and is spreading,

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<v Speaker 1>and the economists spend their whole careers studying what happens

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<v Speaker 1>in especially to people do macro studying the rise and

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<v Speaker 1>fall of economies, and our economy is now in a

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<v Speaker 1>kind of a free fall. Each says, my disaster is very,

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<v Speaker 1>very bad. It needs to be taken seriously, and there's

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<v Speaker 1>a kind of struggle going on. It sounds like perhaps

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<v Speaker 1>this is hypothesis over which struggle is the greatest, which

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<v Speaker 1>challenges the greatest, where the priorities should lie. And there

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<v Speaker 1>also maybe some epistemological differences, because the epidemiologists are accustomed

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<v Speaker 1>to thinking about avoiding harm, and they don't spend a

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<v Speaker 1>lot of time thinking about costs and benefits, and in contrast,

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<v Speaker 1>the economist's whole undertaking is to think about costs and benefits.

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<v Speaker 1>Does that resonate at all with what you're observing. I

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<v Speaker 1>think there's a lot of truth in what you said there,

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<v Speaker 1>so I don't disagree with that at all. I also

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<v Speaker 1>think that's important to remember that I think everybody, the

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<v Speaker 1>vast majority of people operating in these different camps, are

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<v Speaker 1>doing so with good intentions and in good faith. So

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<v Speaker 1>this isn't a case of bad actors. I think it

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<v Speaker 1>is hard to appreciate the perspectives and the arguments of others,

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<v Speaker 1>But let me just say that, you know, Alan Garber

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<v Speaker 1>is actually an MD and the p HD economist. He's

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<v Speaker 1>not an epidemiologist modeler, but you know he certainly knows

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<v Speaker 1>those guys. So Alan and I were really, in a sense,

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<v Speaker 1>trying to bring these two communities together. And the ironic

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<v Speaker 1>part if you extend that you think about the public

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<v Speaker 1>health people, if you think about what Alan and I

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<v Speaker 1>are saying, we're saying, in effect, those economists who are

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<v Speaker 1>telling you all about stimulus and so forth, we're spending

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<v Speaker 1>way too much on their proposal, and we're not spending

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<v Speaker 1>nearly enough on the kind of thing that you and

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<v Speaker 1>public health have been arguing for for so many years.

0:13:45.356 --> 0:13:47.836
<v Speaker 1>So oddly, you know, on the public health side, we're

0:13:47.836 --> 0:13:49.956
<v Speaker 1>coming in from the outside, but we're saying, actually, you know,

0:13:49.996 --> 0:13:52.436
<v Speaker 1>you guys were right, and we should have been spending

0:13:52.796 --> 0:13:55.596
<v Speaker 1>billions more on you, and so let's just do it

0:13:55.636 --> 0:13:59.316
<v Speaker 1>in a hurry. Now. There's a special dimension that makes

0:13:59.316 --> 0:14:02.676
<v Speaker 1>it a little bit tough in the epidemiological community right now,

0:14:03.036 --> 0:14:07.196
<v Speaker 1>which is that they have been attacked, basically by trolls

0:14:07.716 --> 0:14:10.916
<v Speaker 1>who are trying to say, like this Imperial College study

0:14:11.076 --> 0:14:14.236
<v Speaker 1>with many deaths and some of these other studies were

0:14:14.276 --> 0:14:19.516
<v Speaker 1>politically motivated. So they've been blindsided by suddenly being pulled

0:14:19.556 --> 0:14:23.836
<v Speaker 1>into the world of the trolls and vitriol and lies,

0:14:24.276 --> 0:14:27.476
<v Speaker 1>and they don't quite know how to respond. Some of them,

0:14:27.676 --> 0:14:32.276
<v Speaker 1>understandably are feeling defensive, and you know, at first glance

0:14:32.796 --> 0:14:35.076
<v Speaker 1>they may worry a little bit about, well, how do

0:14:35.116 --> 0:14:38.036
<v Speaker 1>we know that Romer and Garber aren't just you know,

0:14:38.196 --> 0:14:41.396
<v Speaker 1>kind of one more subtle attempt at troll lists and

0:14:41.516 --> 0:14:44.676
<v Speaker 1>undermine our credibility. But here I think what we need

0:14:44.716 --> 0:14:47.796
<v Speaker 1>to do is just engage and engage on the specifics.

0:14:48.156 --> 0:14:51.956
<v Speaker 1>Take each other's arguments seriously, and I think we should

0:14:51.996 --> 0:14:55.316
<v Speaker 1>be able to all come to consensus around some of

0:14:55.356 --> 0:14:59.716
<v Speaker 1>these basics, like even if we don't know things like prevalence,

0:15:00.316 --> 0:15:03.996
<v Speaker 1>if we test at a sufficient scale and then isolate

0:15:04.036 --> 0:15:08.116
<v Speaker 1>the people who test positive, we can get below our zero.

0:15:08.276 --> 0:15:09.956
<v Speaker 1>And then from the on a side, I think we

0:15:09.996 --> 0:15:12.036
<v Speaker 1>can say, and this is a policy we can stick

0:15:12.036 --> 0:15:15.836
<v Speaker 1>with indefinitely. Everybody who tells you, well, I've got this

0:15:15.916 --> 0:15:19.436
<v Speaker 1>policy and I know it's so damaging that we can't

0:15:19.476 --> 0:15:21.316
<v Speaker 1>do it for very long, but let's just do it

0:15:21.356 --> 0:15:25.396
<v Speaker 1>for a little while and then and then they never say, well,

0:15:25.436 --> 0:15:28.636
<v Speaker 1>and then we'll do something else. We should be extremely

0:15:28.636 --> 0:15:30.756
<v Speaker 1>skeptical right now of anybody who says, well, just do

0:15:30.796 --> 0:15:33.716
<v Speaker 1>this really damaging thing and then we'll make it up

0:15:33.756 --> 0:15:36.556
<v Speaker 1>as we go. Do you have a view on whether

0:15:36.836 --> 0:15:40.436
<v Speaker 1>President Trump should be invoking the Defense Production Act in

0:15:40.516 --> 0:15:44.196
<v Speaker 1>order to compel the kinds of investments that you're talking about.

0:15:44.236 --> 0:15:46.276
<v Speaker 1>I mean, the analogy to World War Two and to

0:15:46.356 --> 0:15:49.156
<v Speaker 1>other wars is pretty striking here. What the World War

0:15:49.196 --> 0:15:51.916
<v Speaker 1>Two historians are always telling us is that the build

0:15:51.956 --> 0:15:55.076
<v Speaker 1>up post Pearl Harbor actually really took a while. You

0:15:55.116 --> 0:15:56.596
<v Speaker 1>know that it took a couple of years for the

0:15:56.676 --> 0:15:59.036
<v Speaker 1>United States to generate the kind of They also think

0:15:59.036 --> 0:16:00.676
<v Speaker 1>that the United States won the war because if it's

0:16:00.716 --> 0:16:03.156
<v Speaker 1>capacity to mobilize production. So, don't get me wrong, they're

0:16:03.156 --> 0:16:05.476
<v Speaker 1>in broad agreement with you. But there's a question of temporality.

0:16:07.076 --> 0:16:09.676
<v Speaker 1>There's two ways to respond to a question like that.

0:16:10.156 --> 0:16:15.476
<v Speaker 1>One is yes, indeed, President Trump should or President Trump

0:16:15.556 --> 0:16:19.436
<v Speaker 1>should not. I think we, just as economists, have to

0:16:19.436 --> 0:16:22.476
<v Speaker 1>get out of the mode of thinking that we're philosopher

0:16:22.596 --> 0:16:26.436
<v Speaker 1>kings who can tell somebody else here's what you should do.

0:16:27.036 --> 0:16:29.796
<v Speaker 1>You know, and it takes self control and discipline. Those

0:16:29.796 --> 0:16:32.796
<v Speaker 1>are not the right kind of answers to provide. But

0:16:32.996 --> 0:16:35.436
<v Speaker 1>here's the kind of answer that I think would be helpful.

0:16:35.996 --> 0:16:39.276
<v Speaker 1>Here's why something like the Defense Production Act might help

0:16:39.356 --> 0:16:44.236
<v Speaker 1>us ramp up production very quickly. Think about just masks

0:16:44.476 --> 0:16:48.276
<v Speaker 1>or body suits. We say to a manufacturer, we'd like

0:16:48.356 --> 0:16:51.196
<v Speaker 1>you to increase the output of your equipment by a

0:16:51.196 --> 0:16:53.996
<v Speaker 1>factor of ten so we can get a surge of

0:16:54.036 --> 0:16:56.676
<v Speaker 1>production in the next few weeks and months to then

0:16:56.916 --> 0:17:00.636
<v Speaker 1>meet the sudden demand we're facing. And we want you

0:17:00.676 --> 0:17:03.316
<v Speaker 1>to do it at the same price. Sell your goods

0:17:03.316 --> 0:17:06.316
<v Speaker 1>at the same price you were selling your goods before. Well,

0:17:06.356 --> 0:17:09.276
<v Speaker 1>the manufacturer then says, listen, you're asking me to buy

0:17:09.276 --> 0:17:12.236
<v Speaker 1>all this equipment which will last for like ten years,

0:17:12.836 --> 0:17:16.676
<v Speaker 1>and you're asking me to run this equipment for maybe

0:17:16.956 --> 0:17:20.076
<v Speaker 1>two or three months, six months. The demand might go away,

0:17:20.676 --> 0:17:23.676
<v Speaker 1>and then I've paid for equipment that could have been

0:17:23.716 --> 0:17:26.196
<v Speaker 1>producing for ten years, but I only get to use

0:17:26.196 --> 0:17:29.116
<v Speaker 1>it for six months, and then I'm going to suffer

0:17:29.196 --> 0:17:33.916
<v Speaker 1>huge losses if I operate that way. So if the

0:17:33.956 --> 0:17:37.756
<v Speaker 1>market operated the way we describe it in the textbooks,

0:17:38.196 --> 0:17:40.236
<v Speaker 1>we just say, okay, well, the market price for a

0:17:40.356 --> 0:17:43.556
<v Speaker 1>surge in production of masks is like ten times what

0:17:43.596 --> 0:17:46.876
<v Speaker 1>the market price was before, and that will help you

0:17:47.036 --> 0:17:50.956
<v Speaker 1>give you an incentive, mister manufacturer, miss manufacturer, to take

0:17:50.996 --> 0:17:52.716
<v Speaker 1>a risk that you're going to end up with obsolete

0:17:52.796 --> 0:17:55.996
<v Speaker 1>capital equipment in a few months. But now we have

0:17:56.036 --> 0:17:59.116
<v Speaker 1>this constraint, which is just a fact, which is that

0:17:59.716 --> 0:18:04.236
<v Speaker 1>many people, the vast majority of people, respond moralistically to

0:18:04.276 --> 0:18:08.876
<v Speaker 1>what they see as price gouging or kind of opportunism.

0:18:09.356 --> 0:18:12.716
<v Speaker 1>So the realities, we can't let the market do its

0:18:12.796 --> 0:18:17.396
<v Speaker 1>job with high prices to motivate surge production. So what

0:18:17.596 --> 0:18:19.636
<v Speaker 1>might work in a case like this is for the

0:18:19.676 --> 0:18:23.716
<v Speaker 1>government to say, Okay, we'll buy the equipment for the

0:18:23.916 --> 0:18:26.876
<v Speaker 1>production line. We'll rent it to you on a month

0:18:26.956 --> 0:18:31.156
<v Speaker 1>by month basis. You provide the workers, you do the design,

0:18:31.196 --> 0:18:34.556
<v Speaker 1>the manufacturing, sell the masks is something like the prices

0:18:34.596 --> 0:18:37.716
<v Speaker 1>you sold before, and then if it turns out the

0:18:37.756 --> 0:18:41.196
<v Speaker 1>demand falls off in a few months, you can stop

0:18:41.276 --> 0:18:44.196
<v Speaker 1>paying rent on the machines. We the government eat the

0:18:44.276 --> 0:18:47.676
<v Speaker 1>loss of machines that are now obsolete. I think this

0:18:47.716 --> 0:18:53.396
<v Speaker 1>would be a socially acceptable way to radically scale up production.

0:18:54.236 --> 0:18:58.516
<v Speaker 1>And the trick here is to avoid the moralistic kind

0:18:58.556 --> 0:19:04.156
<v Speaker 1>of analysis and just look pragmatically and say, gee, if

0:19:04.156 --> 0:19:08.036
<v Speaker 1>we're talking about a surge, somebody might bear some costs

0:19:08.076 --> 0:19:11.916
<v Speaker 1>because equipment be obsolete in a few months, and we

0:19:11.996 --> 0:19:15.476
<v Speaker 1>as taxpayers would like our government to bear that cost

0:19:15.636 --> 0:19:18.356
<v Speaker 1>because we really want to get this equipment very quickly.

0:19:18.996 --> 0:19:20.676
<v Speaker 1>And that I think could be done either with or

0:19:20.676 --> 0:19:22.876
<v Speaker 1>without the DPA. The DPA might be an effective way

0:19:22.876 --> 0:19:24.956
<v Speaker 1>of doing it, but I think their statutory room for

0:19:24.956 --> 0:19:27.756
<v Speaker 1>the president to do what you described in a voluntary

0:19:27.796 --> 0:19:31.636
<v Speaker 1>deal with the companies without having to invoke centralized industrial control. Yeah,

0:19:31.876 --> 0:19:34.036
<v Speaker 1>I think, And there's just been some lack of clarity

0:19:34.156 --> 0:19:37.236
<v Speaker 1>like this is also unfamiliar, and we're moving so fast.

0:19:37.756 --> 0:19:41.276
<v Speaker 1>I think some firms are worried that how the DPA

0:19:41.356 --> 0:19:45.596
<v Speaker 1>will be used is that some official will say you

0:19:45.676 --> 0:19:48.916
<v Speaker 1>have to expand your production of masks, you have to

0:19:48.996 --> 0:19:52.156
<v Speaker 1>charge the prices from before. In effect, you have to

0:19:52.196 --> 0:19:55.396
<v Speaker 1>bear the cost of the equipment which may turn out

0:19:55.396 --> 0:19:57.796
<v Speaker 1>to be obsolete very soon. So as long as we

0:19:57.836 --> 0:20:00.196
<v Speaker 1>make it clear that the DPA is really a mechanism

0:20:00.516 --> 0:20:03.676
<v Speaker 1>for just brokering a deal that is the deal that

0:20:03.716 --> 0:20:08.556
<v Speaker 1>we as taxpayers and citizens want, but which for variety

0:20:08.556 --> 0:20:11.876
<v Speaker 1>of reasons, we can't allow through a mechanism where we

0:20:11.916 --> 0:20:14.476
<v Speaker 1>just pay a very high price for production. Right now,

0:20:14.836 --> 0:20:16.796
<v Speaker 1>this is just a mechanism that would let us use

0:20:16.796 --> 0:20:20.156
<v Speaker 1>our government to broker the deal we want, which is fundamentally,

0:20:20.196 --> 0:20:23.476
<v Speaker 1>we just need the masks as fast as possible. Paul,

0:20:23.556 --> 0:20:26.036
<v Speaker 1>let me ask you one more question before you go,

0:20:26.116 --> 0:20:28.116
<v Speaker 1>and this has to do with the relationship between your

0:20:28.156 --> 0:20:31.636
<v Speaker 1>own academic expertise and trajectory and the work that one

0:20:31.676 --> 0:20:35.316
<v Speaker 1>of the Nobel Prize and your views in this particular crisis.

0:20:35.756 --> 0:20:39.196
<v Speaker 1>So at a very gross level of generality, your works

0:20:39.316 --> 0:20:42.796
<v Speaker 1>innovation had a lot to do with taking into account

0:20:42.876 --> 0:20:47.156
<v Speaker 1>in models of macroeconomic growth the way that new ideas, innovations,

0:20:47.396 --> 0:20:52.356
<v Speaker 1>and technological change actually affect trajectories. Do you find that

0:20:52.556 --> 0:20:54.476
<v Speaker 1>when you're thinking about this set of problems and you're

0:20:54.516 --> 0:20:57.196
<v Speaker 1>staking out your own position, that your view maybe in

0:20:57.236 --> 0:20:59.916
<v Speaker 1>some direct way influenced by your sense that, yes, we're

0:20:59.956 --> 0:21:02.716
<v Speaker 1>in this crisis. Yes there's a trajectory that the epidemiologists

0:21:02.756 --> 0:21:05.996
<v Speaker 1>and others are predicting, but they're not taking into account

0:21:06.076 --> 0:21:09.956
<v Speaker 1>the kinds of innovative interventions they could be undertaken of,

0:21:10.076 --> 0:21:13.996
<v Speaker 1>precisely the kind you are talking about. Yeah, I'm one

0:21:14.036 --> 0:21:16.356
<v Speaker 1>thing about using Twitter, as it does force you to

0:21:16.436 --> 0:21:19.356
<v Speaker 1>boil things down. I sent out a tweet where I

0:21:19.396 --> 0:21:21.876
<v Speaker 1>said that I've spent my whole career trying to make

0:21:21.916 --> 0:21:27.156
<v Speaker 1>a single point, which is just because something is unfamiliar,

0:21:27.836 --> 0:21:31.596
<v Speaker 1>it doesn't mean it's impossible. Now, I mean, who can

0:21:31.716 --> 0:21:35.436
<v Speaker 1>argue with that. But it's something which we don't keep

0:21:35.676 --> 0:21:38.596
<v Speaker 1>track of, we don't think about. So when somebody says,

0:21:39.156 --> 0:21:42.676
<v Speaker 1>testing twenty million people, basically I've never seen that. I

0:21:42.756 --> 0:21:45.396
<v Speaker 1>have no experience with that. That's so unfamiliar. Oh that

0:21:45.476 --> 0:21:50.596
<v Speaker 1>must be impossible. No, actually, it's not impossible. And every

0:21:50.636 --> 0:21:52.796
<v Speaker 1>time we go down a path where we try and

0:21:52.876 --> 0:21:55.756
<v Speaker 1>do something new, when we try to estimate, well, how

0:21:55.756 --> 0:21:59.196
<v Speaker 1>hard is this going to be, it's inevitably much less hard,

0:21:59.356 --> 0:22:03.876
<v Speaker 1>much less costly than we think, because we discover ways

0:22:04.116 --> 0:22:05.876
<v Speaker 1>to do it once we start trying to do it.

0:22:05.916 --> 0:22:08.556
<v Speaker 1>We discover ways to do it that we never even

0:22:08.596 --> 0:22:12.116
<v Speaker 1>knew we're possible. So I'm not only confident that we

0:22:12.156 --> 0:22:15.156
<v Speaker 1>could afford to scale out exactly what we're doing right now,

0:22:15.476 --> 0:22:19.156
<v Speaker 1>but absolutely certain that if we start doing that, we're

0:22:19.156 --> 0:22:21.516
<v Speaker 1>going to find ways to do it at much lower

0:22:21.556 --> 0:22:26.636
<v Speaker 1>cost and much more quickly, much less disruption than anybody

0:22:26.956 --> 0:22:29.516
<v Speaker 1>imagines right now. And you know, and you can actually

0:22:29.556 --> 0:22:33.116
<v Speaker 1>go back and look at various episodes like how hard

0:22:33.196 --> 0:22:36.316
<v Speaker 1>is it going to be to reduce sulfur dioxide emissions

0:22:36.436 --> 0:22:39.996
<v Speaker 1>that caused acid rain? Or like how hard is it

0:22:40.036 --> 0:22:43.676
<v Speaker 1>going to be to stop using the chlorofluorocarbons which we're

0:22:43.756 --> 0:22:46.436
<v Speaker 1>destroying the ozone layer. You go back and read that,

0:22:46.716 --> 0:22:49.196
<v Speaker 1>you know, the literature in the debate before it was

0:22:49.276 --> 0:22:50.996
<v Speaker 1>like this is going to be the end of life

0:22:50.996 --> 0:22:53.876
<v Speaker 1>as we know it if we don't have chlorofluorocarbons, but

0:22:53.996 --> 0:22:56.556
<v Speaker 1>you know, we banned them. We found an alternative, we

0:22:56.676 --> 0:22:59.596
<v Speaker 1>stopped using them, and you know as bradiodorant and just

0:22:59.756 --> 0:23:04.396
<v Speaker 1>roll on deodorant. You know, there's an almost unlimited infinite

0:23:04.436 --> 0:23:08.956
<v Speaker 1>number of alternative ways to do things, but because they're unfamiliar,

0:23:09.356 --> 0:23:12.316
<v Speaker 1>we tend to think they're not possible, and we need

0:23:12.356 --> 0:23:16.076
<v Speaker 1>to just lose that kind of fear and commit to

0:23:16.836 --> 0:23:19.876
<v Speaker 1>let's go down this path. We don't know exactly how

0:23:19.916 --> 0:23:21.276
<v Speaker 1>we're going to do it, but we're going to find

0:23:21.276 --> 0:23:23.676
<v Speaker 1>a way to do it, and once we commit, it'll

0:23:23.676 --> 0:23:28.036
<v Speaker 1>turn out fine. Paul, thank you very much for your insights.

0:23:28.076 --> 0:23:30.516
<v Speaker 1>I think your core insight, which you described as spending

0:23:30.556 --> 0:23:34.076
<v Speaker 1>your career on that unfamiliarity is not the same thing

0:23:34.076 --> 0:23:38.156
<v Speaker 1>as impossibility, is tremendously valuable in this particular moment, and

0:23:38.556 --> 0:23:42.036
<v Speaker 1>I want to join you in hoping that we're able

0:23:42.076 --> 0:23:46.356
<v Speaker 1>to scale up testing and other interventions with the kind

0:23:46.396 --> 0:23:49.636
<v Speaker 1>of speed and capacity that it would take on your

0:23:49.636 --> 0:23:52.076
<v Speaker 1>account to make the interventions that you were talking about.

0:23:52.116 --> 0:23:53.636
<v Speaker 1>Thank you very much for your time. Well, thanks for

0:23:53.716 --> 0:23:57.836
<v Speaker 1>being so you know, so patient with my vehemence and

0:23:57.636 --> 0:24:00.316
<v Speaker 1>my arguments, not at all that's that's a sign of

0:24:00.316 --> 0:24:02.756
<v Speaker 1>passion in a moment when we need we need lots

0:24:02.756 --> 0:24:07.276
<v Speaker 1>of that. Talking to Paul Romer was genuinely fascinating for me.

0:24:07.876 --> 0:24:10.556
<v Speaker 1>The passion with which he expressed his point of view

0:24:10.996 --> 0:24:14.636
<v Speaker 1>captures to my mind the intensity of this moment and

0:24:14.716 --> 0:24:17.716
<v Speaker 1>the importance of listening seriously to experts of all kinds

0:24:17.916 --> 0:24:20.596
<v Speaker 1>as we try to chart a course forward. On the

0:24:20.636 --> 0:24:24.316
<v Speaker 1>one hand, I benefited hugely from hearing the core insight

0:24:24.596 --> 0:24:27.196
<v Speaker 1>that Paul described as the primary one of his career

0:24:27.196 --> 0:24:29.596
<v Speaker 1>and for which he won the Nobel Prize, namely that

0:24:29.676 --> 0:24:33.796
<v Speaker 1>the unfamiliarity of a challenge does not translate into the

0:24:33.876 --> 0:24:37.516
<v Speaker 1>impossibility of a new and creative response to it. On

0:24:37.556 --> 0:24:39.676
<v Speaker 1>the other hand, I was a little surprised to discover

0:24:39.796 --> 0:24:44.156
<v Speaker 1>myself defending the epidemiologists in this conversation against a rather

0:24:44.356 --> 0:24:47.956
<v Speaker 1>sharp charge that they're not doing the math properly, or

0:24:47.956 --> 0:24:50.796
<v Speaker 1>that they're failing to take into account the capacity of

0:24:50.836 --> 0:24:54.996
<v Speaker 1>the system to respond and to produce twenty million tests

0:24:55.036 --> 0:24:58.236
<v Speaker 1>a day. In the end, I think a significant part

0:24:58.276 --> 0:25:01.836
<v Speaker 1>of the dispute between Paul and the epidemiologists depends on

0:25:01.876 --> 0:25:06.396
<v Speaker 1>the question of empirical reality. Namely, can we actually do this?

0:25:06.916 --> 0:25:09.116
<v Speaker 1>And on that question, you'd have to be a genuin

0:25:09.236 --> 0:25:12.956
<v Speaker 1>and profit to give a definitive answer. Until I speak

0:25:12.956 --> 0:25:16.236
<v Speaker 1>to you again, Be safe, be careful, and be well.

0:25:20.716 --> 0:25:23.676
<v Speaker 1>Deep Background is brought to you by Pushkin Industries. Our

0:25:23.756 --> 0:25:27.716
<v Speaker 1>producer is Lydia gene Coott, with research help from Zooie Wynn.

0:25:28.156 --> 0:25:31.836
<v Speaker 1>Mastering is by Jason Gambrel and Martin Gonzalez. Our showrunner

0:25:31.876 --> 0:25:34.796
<v Speaker 1>is Sophie mckibbn. Our theme music is composed by Luis

0:25:34.876 --> 0:25:39.276
<v Speaker 1>GERA special thanks to the Pushkin Brass, Malcolm Gladwell, Jacob Weisberg,

0:25:39.316 --> 0:25:42.516
<v Speaker 1>and Mia Lobel. I'm Noah Feldman. I also write a

0:25:42.596 --> 0:25:45.236
<v Speaker 1>regular column for Bloomberg Opinion, which you can find at

0:25:45.236 --> 0:25:49.556
<v Speaker 1>Bloomberg dot com slash Feldman. To discover Bloomberg's original slate

0:25:49.596 --> 0:25:53.876
<v Speaker 1>of podcasts, go to Bloomberg dot com slash Podcasts. You

0:25:53.916 --> 0:25:57.076
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0:25:57.476 --> 0:25:58.476
<v Speaker 1>is Deep Background.