WEBVTT - When the Robots Take Over… from Cautionary Tales

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<v Speaker 1>Pushkin.

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<v Speaker 2>Hey, it's Jacob. I recently was a guest co host

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<v Speaker 2>on another Pushkin podcast shows called Cautionary Tales. The host

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<v Speaker 2>is Tim Harford, and it was a lot of fun

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<v Speaker 2>and I thought you might enjoy hearing it while What's

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<v Speaker 2>Your Problem is on a break, so we'll be back

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<v Speaker 2>with What's Your Problem in a few weeks. In the meantime,

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<v Speaker 2>I hope you like this episode of Cautionary Tales.

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<v Speaker 1>Let's play around Warders Studios. It sounds very elvin.

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<v Speaker 3>I always think of David Bowie when I think of Wardog.

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<v Speaker 3>In one of his early songs talks about bright light,

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<v Speaker 3>soho wardour Street.

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<v Speaker 1>Bowie himself has an elfin aspect.

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<v Speaker 3>He said he does is breakthrough gig at Aylesbury, my hometown,

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<v Speaker 3>which basically is about the only thing remarkable about Aylesbury

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<v Speaker 3>is well and also.

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<v Speaker 1>Home of Tim Harford. As the plaque.

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<v Speaker 3>Says, yeah, they've got a statue for Bowie, not yet

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<v Speaker 3>for me. I don't why shore we go Okay, let's go, okay,

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<v Speaker 3>I'm ready. Hello and welcome back to another episode of

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<v Speaker 3>Cautionary Questions, our first of twenty twenty four. I am,

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<v Speaker 3>of course Tim Harford. You are our loyal listeners. You've

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<v Speaker 3>been sending in your burning questions on money, technology, economics,

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<v Speaker 3>and problem solving, and thank you so much to everyone

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<v Speaker 3>who's done so. And today is the day I do

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<v Speaker 3>my best to answer them. And thankfully I won't be

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<v Speaker 3>alone in this endeavor. Here to help me out both

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<v Speaker 3>of the questions and I think with some of the

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<v Speaker 3>answers is the brilliant, brilliant Jacob Goldstein, the host of

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<v Speaker 3>Pushkin podcast What's Your Problem, author of the book Money,

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<v Speaker 3>The True Story of a Made Up Thing. Jacob was

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<v Speaker 3>my inaugural Cautionary Questions co host. Jacob's wonderful to.

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<v Speaker 1>Have you back, Tim. It's an honor. Hi.

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<v Speaker 3>So we should just get home with the questions because

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<v Speaker 3>we always have so many and so much to say. So,

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<v Speaker 3>what have you got in real big bag of listener

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<v Speaker 3>questions for me?

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<v Speaker 1>Let's start with a question from Alex in Melbourne, Australia.

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<v Speaker 1>Alex writes, I work with artificial intelligence image generation software

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<v Speaker 1>almost daily now, and I'm quickly seeing how so much

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<v Speaker 1>of my workforce and processes can either be sped up

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<v Speaker 1>or entirely replaced by AI, and this makes me nervous.

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<v Speaker 1>And then he asks about universal basic income, right, this

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<v Speaker 1>idea of a government giving all its citizens' money, and

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<v Speaker 1>he says it seems for the first time that computers

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<v Speaker 1>and software will actually replace jobs in a deeply concerned way,

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<v Speaker 1>which is both exciting and terrifying. What are your thoughts

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<v Speaker 1>on UBI universal basic income as a solution to an

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<v Speaker 1>AI crisis and the widespread philosophical and economic implications of this.

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<v Speaker 3>I love this question. I mean, it's so big, and

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<v Speaker 3>I think the first thing to say is we don't

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<v Speaker 3>really have any idea. If what Alex is thinking about

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<v Speaker 3>comes true, and if most people just have no economic value,

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<v Speaker 3>they have value as human beings, have value as members

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<v Speaker 3>of society, but there's nothing that they could actually sell

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<v Speaker 3>their labor to do, then that's completely uncharted territory. We've

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<v Speaker 3>never been anywhere like that before, so everything we do

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<v Speaker 3>is kind of speculative.

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<v Speaker 1>We've feared it for a long time, right, We've have

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<v Speaker 1>two hundred years of being afraid of technological unemployment. And

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<v Speaker 1>my prior on this is to be somewhat skeptical. Right, Like,

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<v Speaker 1>clearly there can be some large number of people who

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<v Speaker 1>lose their jobs. We should be concerned about that, and

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<v Speaker 1>we should think about how to mitigate that. But the

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<v Speaker 1>idea of more or less everybody losing their jobs I'm

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<v Speaker 1>skeptical of for the simple reason that it hasn't happened

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<v Speaker 1>in two hundred years of incredible technological progress. And right now,

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<v Speaker 1>after decades of extreme technological progress, in the US, unemployment

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<v Speaker 1>is below four percent, the share of working age people

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<v Speaker 1>who are working is near all time highs, And so

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<v Speaker 1>somehow we keep coming up with new things to do

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<v Speaker 1>for money, no matter how many things computers can do.

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<v Speaker 1>And so my first thought is, I don't think we're

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<v Speaker 1>going to have everybody losing their jobs to AI. I

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<v Speaker 1>definitely could be wrong, but that's what I think.

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<v Speaker 3>No, I think that's a good working assumption. If you

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<v Speaker 3>think back a few centuries, basically, almost all the labor

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<v Speaker 3>that people did, they might wash their clothes occasionally, Well,

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<v Speaker 3>that's been outsourced to the washing machines that spend a

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<v Speaker 3>lot of time moving water around, just drinking water, cooking water,

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<v Speaker 3>throwing out human excrement. That's all now handled by automated systems.

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<v Speaker 1>Digging people did a lot of digging, right, pulling a plow.

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<v Speaker 3>Almost everything we used to do is now done by machines,

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<v Speaker 3>but somehow we still all have jobs. Let's at least

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<v Speaker 3>accept the premise that maybe this time it might be

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<v Speaker 3>different because the robots are doing everything. There's still material prosperity.

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<v Speaker 3>There's food out there, in all the services we could

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<v Speaker 3>possibly want. We just have to find some system whereby

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<v Speaker 3>the humans who have no economic value get to enjoy

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<v Speaker 3>all this cool stuff that's being produced by the machines.

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<v Speaker 1>Yeah, and you know, technological prosperity has given us in

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<v Speaker 1>the developed world ubi for old people, right in the US,

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<v Speaker 1>as in every developed country as far as I know,

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<v Speaker 1>once you get to some age, if you are a

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<v Speaker 1>citizen and you have worked, yeah, the government gives you

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<v Speaker 1>money yea every month until you die, right, and so

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<v Speaker 1>you could imagine a kind of creeping extension of that. Certainly,

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<v Speaker 1>right now they're not talking about lowering the retirement age

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<v Speaker 1>in the US. They're about raising it as in many countries.

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<v Speaker 3>Yeah, raising it in the UK as well, But it's

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<v Speaker 3>still a long way away from life expectancies. My recollection

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<v Speaker 3>is that when Bismarck introduced the first pension, which was

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<v Speaker 3>in Germany in the late nineteenth century, I think the

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<v Speaker 3>pension started to be paid at the age sixty seven

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<v Speaker 3>and the life expectancy was sixty three, you.

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<v Speaker 1>Get negative four years in expectation.

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<v Speaker 3>People who survive long enough to claim any pension at

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<v Speaker 3>all are already exceptional. So that would be like having

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<v Speaker 3>a pension today that started at age ninety. Like some

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<v Speaker 3>people will get it by most bad road. But actually

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<v Speaker 3>a lot of people could easily collect thirty years of pension,

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<v Speaker 3>certainly twenty years. So they're living a large proportion of

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<v Speaker 3>their adult life receiving money from the state, and they're

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<v Speaker 3>also receiving money from their own savings, their own investments,

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<v Speaker 3>which might be a replacement for UBI. Maybe we all

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<v Speaker 3>just have shares in the robots instead, we have shares

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<v Speaker 3>in Google or whatever, and that's how we get paid.

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<v Speaker 1>Yes, whether that is mediated by the government or not

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<v Speaker 1>looks somewhat different. Right, Either the government is taxing the

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<v Speaker 1>owners of in Nvidia and Google stock and distributing the money,

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<v Speaker 1>or everybody owns Google and Nvidia stock. There is the

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<v Speaker 1>piece of this which is about the non financial parts

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<v Speaker 1>of work, right, I mean, there's a political economy piece,

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<v Speaker 1>the sort of bridge. How do we get from here

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<v Speaker 1>to there? If that happens and that's complicated and maybe ugly.

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<v Speaker 3>If the robots can do all of the stuff the

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<v Speaker 3>computers can do it, there's no economic reason why humans

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<v Speaker 3>couldn't just receive whatever an allowance they're given ten robots,

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<v Speaker 3>or they're given ten thousand dollars a month to spend

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<v Speaker 3>or whatever they like. There's no economic reason why that

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<v Speaker 3>couldn't happen. But I think what you're getting at is

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<v Speaker 3>what does it do to us if we're in that situation?

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<v Speaker 1>Yeah? Yeah, Like I don't want to not have a job.

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<v Speaker 1>I recognize that I am fortunate to have a job

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<v Speaker 1>that I enjoy, that I derive a part of my

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<v Speaker 1>identity from. I recognize that for many, in fact, probably

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<v Speaker 1>most people, a job is not that it's some unpleasant

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<v Speaker 1>thing they do because they need the money, and if

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<v Speaker 1>they got more money, they would quit their job. Well,

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<v Speaker 1>you probably know the kind of empirical evidence on this

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<v Speaker 1>better than I do. Like, people have looked at lottery winners, right,

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<v Speaker 1>and my sense is it's not great for you to

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<v Speaker 1>win the lottery and quit your job. It doesn't actually

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<v Speaker 1>make you happier.

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<v Speaker 3>Actually, the evidence on lottery winners is a bit mixed,

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<v Speaker 3>and I think slightly we hear all the disaster stories

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<v Speaker 3>of lottery winners.

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<v Speaker 1>Actually, it's great to win the lottery. That's amazing. Is

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<v Speaker 1>that true.

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<v Speaker 3>I think it's fine. Yes, it's just fine to win

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<v Speaker 3>the lottery. Is not really a problem to win the lottery.

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<v Speaker 3>In my vague recollection I wrote about this a couple

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<v Speaker 3>of years ago. But we may not all want a job,

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<v Speaker 3>but we all want something to do. We all want

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<v Speaker 3>to feel useful, we all want a sense of some

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<v Speaker 3>kind of purpose. We all want, I think, that experience

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<v Speaker 3>of mastery, that experience of knowing that you can do

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<v Speaker 3>something that not everybody can do. Those things don't have

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<v Speaker 3>to come from a job, but for a lot of

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<v Speaker 3>people they do come from a job.

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<v Speaker 1>Yeah. For me, in my narrow provincial experience of life,

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<v Speaker 1>it's frankly hard to imagine and getting those things without

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<v Speaker 1>a job. Yeah.

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<v Speaker 3>It comes back to my initial reaction to Alex's terrific question,

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<v Speaker 3>which is this is such unknown territory that we can

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<v Speaker 3>only really speculate. But I think you and I jcub

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<v Speaker 3>are in agreement that the fundamental issue here is not economic.

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<v Speaker 3>It's really to do with our souls. How would we

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<v Speaker 3>react if our desire for master. We our desire for meaning,

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<v Speaker 3>our desire to feel useful if that had to be

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<v Speaker 3>satisfied without having a job, and what would we do

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<v Speaker 3>and could we cope? And I don't know, I.

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<v Speaker 1>Mean, Harford, if the robots come and take our jobs,

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<v Speaker 1>let's just you and me make a podcast for free.

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<v Speaker 1>I'm in. I'll commit right now in the robot Utopia

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<v Speaker 1>apocalypse to making a weekly podcast with you for free.

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<v Speaker 3>Deal.

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<v Speaker 1>Sorry, we have no more time. You might give in

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<v Speaker 1>your robot overlord. Give us another question, Hello, Race Ubinov,

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<v Speaker 1>I would like to ask, with the onset of AI,

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<v Speaker 1>what is the next cautionary tale you anticipate talking about

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<v Speaker 1>in the years to come?

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<v Speaker 3>Hello Ivanough, I have just finished the first draft of

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<v Speaker 3>a script about the coming of AI, and without giving

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<v Speaker 3>too much away, the cautionary note is about what happens

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<v Speaker 3>when automation gets so good that we lose our own skills.

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<v Speaker 3>We hand over controlled the machine, and then how do

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<v Speaker 3>we respond when the machine says, actually, this one's too hard?

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<v Speaker 3>Could you take over again? Suddenly we're back at the

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<v Speaker 3>wheel and we're out of practice.

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<v Speaker 1>Harford, it's not another plane crash, is it. Don't you

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<v Speaker 1>have a moratory. I'm undering plane crashes at this point.

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<v Speaker 1>Because it sounds like that.

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<v Speaker 3>I'm going to say nothing more fair enough. Let's go

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<v Speaker 3>for a break.

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<v Speaker 1>All right, Yeah, we're back.

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<v Speaker 3>I'm talking to Jacob Goldstein, the host of What's Your Problem,

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<v Speaker 3>and we are doing a Cautionary Questions Q and A episode.

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<v Speaker 3>Jacob has the questions. Jacob's also helping with the answers.

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<v Speaker 3>I'm really sepless to requirements here, but I'm doing my best, Jacob.

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<v Speaker 3>What have you got for me?

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<v Speaker 1>Tim? Our next question comes from Adam, who writes, Hi,

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<v Speaker 1>I have a question about investing in cryptocurrency. Oh dear,

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<v Speaker 1>oh dear, come on give it to them. Okay. It's

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<v Speaker 1>an interesting one. Traditionally, when buying shares in a company,

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<v Speaker 1>you would be supporting that company to grow, create a

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<v Speaker 1>new product, or enter a new retail space. This would

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<v Speaker 1>hopefully create jobs and new products. When people invest money

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<v Speaker 1>into cryptocurrency or any currency for that matter, isn't that

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<v Speaker 1>money just sitting around not doing anything until you withdraw it.

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<v Speaker 1>Would investing in crypto be bad for the economy compared

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<v Speaker 1>with investing in businesses?

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<v Speaker 3>This is a deep question. I really like it. It is

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<v Speaker 3>as the author of the wonderful book Money, The True

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<v Speaker 3>Story of a Maid Art Thing. I am sure you

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<v Speaker 3>have thoughts, Jacob. They may have a first crack and

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<v Speaker 3>you can tell me everything I've made.

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<v Speaker 1>Yeah. Yeah.

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<v Speaker 3>So let's say you buy bitcoin or whatever, and then

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<v Speaker 3>the money's just sitting there because bitcoin is not building anything.

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<v Speaker 3>You're not buying investment in, say a road building company,

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<v Speaker 3>or you're not buying an investment in Google, which is

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<v Speaker 3>developing new technology. There's one of two possible things that happens.

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<v Speaker 3>So most likely is whoever you bought the bitcoin from

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<v Speaker 3>now has your money. Well, now it's their money, and

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<v Speaker 3>then they're going to do something with that money. So

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<v Speaker 3>maybe they then buy shares in Google, or they then

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<v Speaker 3>set up a business, or they will then go on

0:12:40.436 --> 0:12:43.196
<v Speaker 3>to do something with that money, or they'll lend it

0:12:43.196 --> 0:12:45.516
<v Speaker 3>to somebody else and that person will do something with it.

0:12:45.556 --> 0:12:49.156
<v Speaker 3>Eventually the money will find its way into some productive investment.

0:12:49.476 --> 0:12:52.196
<v Speaker 3>The fact that you bought bitcoin off somebody does not

0:12:52.436 --> 0:12:55.236
<v Speaker 3>mean that they won't then do something useful with the money.

0:12:55.316 --> 0:12:56.956
<v Speaker 3>But then let's say for some reason they just go,

0:12:57.036 --> 0:12:59.156
<v Speaker 3>you know what, I'm just going to sit on this money.

0:12:59.196 --> 0:13:01.276
<v Speaker 3>It's just dollars. I'm going to stick them under the mattress.

0:13:01.516 --> 0:13:04.916
<v Speaker 3>I guess a bitcoin guy might do that. That would

0:13:05.036 --> 0:13:08.716
<v Speaker 3>reduce inflationary pressures on the economy, which is something we

0:13:08.756 --> 0:13:12.996
<v Speaker 3>want anyway. And if inflationary pressures are reduced too much,

0:13:13.476 --> 0:13:16.116
<v Speaker 3>the Federal Reserve could then go, you know what, guys,

0:13:16.796 --> 0:13:20.796
<v Speaker 3>we should probably print some money or otherwise stimulate the economy. Actually,

0:13:20.796 --> 0:13:23.236
<v Speaker 3>the worst thing that could possibly happen is that the

0:13:23.236 --> 0:13:27.156
<v Speaker 3>money gets invested in buying more computers that could be

0:13:27.156 --> 0:13:28.996
<v Speaker 3>put to better use, but in fact just end up

0:13:29.036 --> 0:13:31.156
<v Speaker 3>doing bitcoin mining. I guess what I'm saying is, as

0:13:31.156 --> 0:13:33.636
<v Speaker 3>long as they don't spend it on bitcoin mining computers,

0:13:33.676 --> 0:13:35.836
<v Speaker 3>it's totally fine. Well what am I missing?

0:13:36.116 --> 0:13:38.236
<v Speaker 1>I went around the same track as you went around.

0:13:38.356 --> 0:13:43.596
<v Speaker 1>And you know, different cryptocurrencies have different methods of regulation, right,

0:13:43.636 --> 0:13:48.516
<v Speaker 1>So Bitcoin by design is this very energy intensive computing

0:13:48.596 --> 0:13:51.636
<v Speaker 1>process in order to mine bitcoin, and that is, in

0:13:51.676 --> 0:13:55.436
<v Speaker 1>my opinion, a bad outcome. Socially, I agree, because you

0:13:55.436 --> 0:13:58.116
<v Speaker 1>could imagine a world where maintaining the bitcoin network was

0:13:58.156 --> 0:14:00.636
<v Speaker 1>socially desirable. In the world as it has evolved, I

0:14:00.636 --> 0:14:03.676
<v Speaker 1>don't find it particularly socially desirable, but at this point,

0:14:03.716 --> 0:14:06.396
<v Speaker 1>I don't think most of the money going into bitcoin

0:14:06.516 --> 0:14:08.876
<v Speaker 1>is going to miners, right, there's a large stock of

0:14:09.236 --> 0:14:11.996
<v Speaker 1>coin that exists in the world. I mean, an interesting

0:14:12.036 --> 0:14:16.436
<v Speaker 1>thing about money is it almost never sleeps. It keeps going,

0:14:16.556 --> 0:14:20.316
<v Speaker 1>and so you can always ask what happens next, you know,

0:14:20.356 --> 0:14:23.036
<v Speaker 1>with the stock market, sometimes people talk about money on

0:14:23.116 --> 0:14:25.356
<v Speaker 1>the sidelines when they're like, well, the stock market can

0:14:25.356 --> 0:14:27.036
<v Speaker 1>go up somewhere because there's a lot of cash on

0:14:27.076 --> 0:14:31.716
<v Speaker 1>the sidelines. And there's this famous billionaire investor, Cliff Asnes.

0:14:31.996 --> 0:14:33.796
<v Speaker 1>He's an interesting guy. You got a PhD from the

0:14:33.876 --> 0:14:37.876
<v Speaker 1>University of Chicago, studied with Gene Fama, famous economist, and

0:14:37.996 --> 0:14:41.116
<v Speaker 1>Cliff Asnes gets driven up the wall when people say

0:14:41.116 --> 0:14:43.796
<v Speaker 1>cash on the sidelines for the same reason you just said, Right,

0:14:43.836 --> 0:14:47.916
<v Speaker 1>Like every time somebody buys a share of stock, someone

0:14:47.916 --> 0:14:50.356
<v Speaker 1>else is selling it, right, So like the money is

0:14:50.956 --> 0:14:54.236
<v Speaker 1>changing hands, the stock is changing hands. But like there

0:14:54.276 --> 0:14:56.036
<v Speaker 1>are no sidelines with money.

0:14:56.116 --> 0:14:59.796
<v Speaker 3>Yeah, and even if someone puts just cash in a

0:14:59.876 --> 0:15:03.076
<v Speaker 3>checking account, well then now the bank has money, and

0:15:03.396 --> 0:15:04.956
<v Speaker 3>you can bet the bank is going to want to

0:15:04.956 --> 0:15:07.876
<v Speaker 3>do something with that money, something productive. And even if

0:15:07.876 --> 0:15:09.836
<v Speaker 3>they doesn't put it in the bank, as I say,

0:15:10.116 --> 0:15:13.756
<v Speaker 3>it's a dramatris. Well, even then, the Federals could always

0:15:13.796 --> 0:15:14.316
<v Speaker 3>put money.

0:15:14.476 --> 0:15:17.116
<v Speaker 1>Yeah, the stock of money is not fixed, right. I

0:15:17.156 --> 0:15:20.956
<v Speaker 1>think there's an assumption in the question I think goes

0:15:21.036 --> 0:15:24.716
<v Speaker 1>back to the pre modern era, the era before the

0:15:24.796 --> 0:15:27.636
<v Speaker 1>nineteen thirties when money was based on gold or silver

0:15:27.756 --> 0:15:30.676
<v Speaker 1>and it was finite. Right, there was a fixed amount

0:15:30.716 --> 0:15:33.196
<v Speaker 1>of gold and silver in the world in those days. Indeed,

0:15:33.316 --> 0:15:36.956
<v Speaker 1>if you sat on money, you were effectively reducing the

0:15:36.996 --> 0:15:39.396
<v Speaker 1>supply of money in the world. But to your point,

0:15:39.396 --> 0:15:41.956
<v Speaker 1>the supply of money in the world is as big

0:15:41.996 --> 0:15:44.196
<v Speaker 1>as the Central Bank wants it to be, and so

0:15:44.556 --> 0:15:47.796
<v Speaker 1>it's not a meaningful constraint on economic growth. So the

0:15:47.876 --> 0:15:50.196
<v Speaker 1>ultimate answer to the question is if you are just

0:15:50.516 --> 0:15:53.156
<v Speaker 1>sitting on money, it's not really going to have an

0:15:53.156 --> 0:15:54.556
<v Speaker 1>effect on the broader economy.

0:15:54.676 --> 0:15:56.476
<v Speaker 3>Well, I think we've come to agreement. Hopefully that makes

0:15:56.516 --> 0:15:59.036
<v Speaker 3>sense to Adam. Next question.

0:16:00.036 --> 0:16:04.396
<v Speaker 1>Our next question comes from doctor Yvonne Couch, who is

0:16:04.996 --> 0:16:11.036
<v Speaker 1>Associate Professor of Neuroimmunology Alzheimer's Research UK Fellow, Associate Research

0:16:11.076 --> 0:16:15.916
<v Speaker 1>Fellow at Saint Hilda's College, Stipendary Lecturer at Somerville College,

0:16:16.636 --> 0:16:17.676
<v Speaker 1>University of Oxford.

0:16:18.076 --> 0:16:20.396
<v Speaker 3>Yeah, University of Oxford. I know, well, one of my

0:16:20.436 --> 0:16:22.156
<v Speaker 3>sisters went to St. Hilda's College and one of my

0:16:22.196 --> 0:16:25.116
<v Speaker 3>sisters went to Somerville College, so this feels very much

0:16:25.116 --> 0:16:27.596
<v Speaker 3>in the family. So what does Dr Couch got to say?

0:16:28.716 --> 0:16:33.116
<v Speaker 1>She writes, my question was vaguely economics based, although probably

0:16:33.156 --> 0:16:38.436
<v Speaker 1>not very is the way we currently fund science feasible

0:16:38.516 --> 0:16:41.996
<v Speaker 1>going forward? Do we just have too many scientists and

0:16:42.076 --> 0:16:47.196
<v Speaker 1>not enough resources? All the best, Yvonne, oh love it.

0:16:47.556 --> 0:16:49.796
<v Speaker 3>Let me throw out a few thoughts. Then I think

0:16:49.836 --> 0:16:53.636
<v Speaker 3>that probably there is a problem with the way we

0:16:53.676 --> 0:16:56.356
<v Speaker 3>fund science, But there's no one way that we fund science.

0:16:56.436 --> 0:16:59.276
<v Speaker 3>You have university research, you have various grands, various sources

0:16:59.276 --> 0:17:03.036
<v Speaker 3>of funding, philanthropy and so on. You also have private

0:17:03.076 --> 0:17:08.196
<v Speaker 3>sector research, which is often incentivized by the patent system.

0:17:08.356 --> 0:17:10.756
<v Speaker 3>And then you have big block grants that are handed

0:17:10.796 --> 0:17:15.196
<v Speaker 3>out by agencies such as the National Institutes for Health.

0:17:15.596 --> 0:17:18.796
<v Speaker 3>So there are lots of different ways that science gets funded.

0:17:19.716 --> 0:17:23.996
<v Speaker 3>A couple of things that worry me is that, first

0:17:24.036 --> 0:17:27.276
<v Speaker 3>of all, there's a big incentive to make really incremental

0:17:27.356 --> 0:17:33.876
<v Speaker 3>improvements rather than to take risks. There's a great economics

0:17:33.876 --> 0:17:37.756
<v Speaker 3>paper studying scientists who are funded by the National Institutes

0:17:37.796 --> 0:17:41.276
<v Speaker 3>for Health, which is a wonderful institution, very important, and

0:17:41.596 --> 0:17:45.076
<v Speaker 3>scientists who on paper seem to be the same that're

0:17:45.076 --> 0:17:48.116
<v Speaker 3>on the same career track, got very similar publication records,

0:17:48.396 --> 0:17:51.756
<v Speaker 3>and they are instead funded by a private foundation called

0:17:51.756 --> 0:17:55.516
<v Speaker 3>the Howard Hughes Medical Institute. Listeners who want to hear

0:17:55.556 --> 0:17:58.556
<v Speaker 3>more about Howard Hughes and the Howard Hughes biography can

0:17:58.676 --> 0:18:00.676
<v Speaker 3>go to the back catalog of caution details. So the

0:18:00.676 --> 0:18:04.916
<v Speaker 3>Howard Hughes Medical Institute basically takes risks. It wants people

0:18:05.076 --> 0:18:08.116
<v Speaker 3>to do something new. It's happy with a high risk

0:18:08.156 --> 0:18:10.316
<v Speaker 3>of failure as long as there's some chance of a

0:18:10.476 --> 0:18:16.996
<v Speaker 3>real breakthrough success. And this particular paper studying the results

0:18:16.996 --> 0:18:20.076
<v Speaker 3>that come from these two funding systems basically finds that

0:18:20.236 --> 0:18:23.196
<v Speaker 3>the grant funders get what they pay for. So the

0:18:23.276 --> 0:18:26.476
<v Speaker 3>National Institutes for Health get a high success rate, but

0:18:26.556 --> 0:18:29.516
<v Speaker 3>it's often quite incremental progress. And the Howard Hughes Medical

0:18:29.556 --> 0:18:32.716
<v Speaker 3>Institute has lots and lots of failures, but when it succeeds,

0:18:32.716 --> 0:18:35.876
<v Speaker 3>it really succeeds. And they these are hugely important papers,

0:18:36.196 --> 0:18:40.756
<v Speaker 3>and I just feel that we're not deliberate enough about saying, well,

0:18:40.796 --> 0:18:46.236
<v Speaker 3>how much of our funding ecosystem should be aiming at

0:18:46.316 --> 0:18:49.436
<v Speaker 3>kind of venture capital style for really big wins, and

0:18:49.476 --> 0:18:51.676
<v Speaker 3>how much should be incremental. I think those are not

0:18:51.796 --> 0:18:54.396
<v Speaker 3>the sorts of questions that get asked, So that's one

0:18:54.396 --> 0:18:56.956
<v Speaker 3>of the things that worries me. What's your take, Jacob.

0:18:57.476 --> 0:18:59.756
<v Speaker 1>One of the things that I have read is that

0:18:59.836 --> 0:19:03.676
<v Speaker 1>over time the average age of grant recipients from the

0:19:03.796 --> 0:19:06.436
<v Speaker 1>NIH has gone up and up and up. So kind

0:19:06.436 --> 0:19:08.796
<v Speaker 1>of you just think of this whole universe as getting

0:19:08.836 --> 0:19:12.476
<v Speaker 1>all and more risk averse and more kind of bureaucratic.

0:19:13.076 --> 0:19:16.516
<v Speaker 1>There is an interesting set of counter pressures I think

0:19:16.636 --> 0:19:19.876
<v Speaker 1>rising up partly out of Silicon Valley. I don't know

0:19:19.876 --> 0:19:23.796
<v Speaker 1>if you've come across the work of Patrick Hollison and

0:19:23.876 --> 0:19:26.836
<v Speaker 1>his brother. They're from Ireland. They found it Striped. They're

0:19:26.996 --> 0:19:30.356
<v Speaker 1>very rich. Stripe is a big company that does basically

0:19:30.396 --> 0:19:33.916
<v Speaker 1>payment stuff online. They have a really interesting set of

0:19:34.436 --> 0:19:39.276
<v Speaker 1>kind of philanthropic endeavors around the idea of progress. You know,

0:19:39.276 --> 0:19:42.356
<v Speaker 1>they're trying to create a kind of field of progress

0:19:42.436 --> 0:19:46.556
<v Speaker 1>studies that is, it's very meta. What are the conditions

0:19:46.676 --> 0:19:51.076
<v Speaker 1>that best foster technological and scientific progress?

0:19:51.516 --> 0:19:54.156
<v Speaker 3>But this question from doctor Couch, he is very massive. Yes,

0:19:54.156 --> 0:19:55.796
<v Speaker 3>it's very much progress studies, isn't it.

0:19:56.236 --> 0:19:56.476
<v Speaker 2>Yes.

0:19:56.716 --> 0:20:00.356
<v Speaker 1>There is this institute in the Bay Area called the

0:20:00.516 --> 0:20:04.676
<v Speaker 1>ARC Institute that hires leading scientists. The basic idea is

0:20:04.996 --> 0:20:10.276
<v Speaker 1>give talented people freedom and money, right and encourage them

0:20:10.316 --> 0:20:13.356
<v Speaker 1>to take big swings. And they are interested, you know,

0:20:13.436 --> 0:20:16.116
<v Speaker 1>not just in outcomes, but in new tools. Right. Again,

0:20:16.396 --> 0:20:19.236
<v Speaker 1>continuing on the nerdy thing, like if you take a

0:20:19.236 --> 0:20:22.156
<v Speaker 1>tool like Crisper. Crisper is an intermediate tool that allows

0:20:22.196 --> 0:20:24.476
<v Speaker 1>people to cut up a genome. Basically, we just had

0:20:24.516 --> 0:20:27.916
<v Speaker 1>the first transplant from an animal into a human a

0:20:27.916 --> 0:20:29.996
<v Speaker 1>few weeks ago because of Crisper. We have the first

0:20:30.396 --> 0:20:33.796
<v Speaker 1>treatments for sickle cell disease because of Crisper. So I

0:20:33.876 --> 0:20:38.596
<v Speaker 1>do think there is a wave of people trying to

0:20:38.716 --> 0:20:43.236
<v Speaker 1>rethink scientific funding. There is a bottom line aspect to

0:20:43.356 --> 0:20:46.836
<v Speaker 1>this question from doctor Couch that I don't feel like

0:20:46.916 --> 0:20:48.636
<v Speaker 1>I know enough to answer, and I'm curious if you do.

0:20:48.676 --> 0:20:51.396
<v Speaker 1>I mean, the question, is the way we currently fund

0:20:51.436 --> 0:20:55.556
<v Speaker 1>science feasible going forward? There is a yes no version

0:20:55.596 --> 0:20:57.796
<v Speaker 1>of the answer. Do you think you know? Is it?

0:20:58.476 --> 0:21:00.836
<v Speaker 3>I don't know the answer, but I guess I don't

0:21:00.876 --> 0:21:04.316
<v Speaker 3>know either. Another thing that concerns me on this, which

0:21:04.516 --> 0:21:08.316
<v Speaker 3>is potentially really existential is the question of how we

0:21:08.396 --> 0:21:13.876
<v Speaker 3>fund new antibiotics. I think this points to a real

0:21:13.916 --> 0:21:17.156
<v Speaker 3>weakness in the ecosystem of research funding. So if you

0:21:17.196 --> 0:21:20.396
<v Speaker 3>think about the basic way we develop drugs, the fundamental

0:21:20.636 --> 0:21:23.916
<v Speaker 3>incentive is the patent. So a drug company spends a

0:21:23.916 --> 0:21:26.876
<v Speaker 3>lot of money, tries to develop drugs. Some of them work,

0:21:26.916 --> 0:21:28.516
<v Speaker 3>some of them fail, a lot of them fail, but

0:21:28.636 --> 0:21:31.316
<v Speaker 3>in the end you have a drug and the deal

0:21:31.476 --> 0:21:34.276
<v Speaker 3>is we give you this artificial monopoly called a patent,

0:21:34.836 --> 0:21:37.556
<v Speaker 3>and it will only last for a certain amount of time,

0:21:37.636 --> 0:21:39.276
<v Speaker 3>which is kind of a problem because it takes so

0:21:39.276 --> 0:21:42.196
<v Speaker 3>long to develop the drugs. Maybe the patent's nearly expired.

0:21:42.596 --> 0:21:45.196
<v Speaker 3>You can charge an incredible amount for these drugs for

0:21:45.236 --> 0:21:47.796
<v Speaker 3>a while, and then your patents will run out, and

0:21:47.836 --> 0:21:49.916
<v Speaker 3>then loads of as people will make the same drug

0:21:49.916 --> 0:21:52.596
<v Speaker 3>and it'll come down in value. For example, Viagra, you

0:21:52.636 --> 0:21:54.516
<v Speaker 3>know you could sell this for a huge amount of money,

0:21:54.516 --> 0:21:57.076
<v Speaker 3>and now Viagra is off patent and anyone can make

0:21:57.076 --> 0:22:00.396
<v Speaker 3>a generic Viagra. So that's the incentive that we're given

0:22:00.436 --> 0:22:03.396
<v Speaker 3>to private companies, that you will have this temporary monopoly.

0:22:04.556 --> 0:22:08.156
<v Speaker 3>So now think about antibiotics. The problem with antibiotics. We

0:22:08.196 --> 0:22:11.636
<v Speaker 3>have lots of antibiotics work really well, except the bacteria

0:22:11.676 --> 0:22:14.236
<v Speaker 3>have figured them out. And why have they figured them out?

0:22:14.356 --> 0:22:18.396
<v Speaker 3>Because we've used them. The bacteria developed resistance. So what

0:22:18.436 --> 0:22:22.636
<v Speaker 3>we really need is new antibiotics that we don't use.

0:22:23.836 --> 0:22:26.356
<v Speaker 3>And now think about how the pattern system deals with that.

0:22:26.436 --> 0:22:30.356
<v Speaker 3>So you basically say, if you develop a new antibiotic,

0:22:30.796 --> 0:22:32.996
<v Speaker 3>we'll give you a tempery monopoly, but we really need

0:22:33.036 --> 0:22:36.516
<v Speaker 3>you to just not sell any don't sell any of.

0:22:36.476 --> 0:22:39.716
<v Speaker 1>This thing except in cases of dire emergency. It's like

0:22:39.756 --> 0:22:42.636
<v Speaker 1>a break glass in case of emergency. I mean, I

0:22:42.636 --> 0:22:46.476
<v Speaker 1>feel like a bounty. Like every econ nerd storyteller loves

0:22:46.476 --> 0:22:50.316
<v Speaker 1>a good bounty. Right, wasn't this done with a malaria vaccine,

0:22:50.316 --> 0:22:52.636
<v Speaker 1>which is actually coming along quite well. You have some

0:22:52.876 --> 0:22:56.196
<v Speaker 1>universe of people say we will pay a billion dollars

0:22:56.276 --> 0:22:59.036
<v Speaker 1>to anyone who comes up with a new antibiotic that

0:22:59.076 --> 0:23:02.396
<v Speaker 1>meets this set of criteria, that treats this set of

0:23:02.516 --> 0:23:06.356
<v Speaker 1>bugs that are resistant to these existing antibiotics, and we'll

0:23:06.396 --> 0:23:07.996
<v Speaker 1>give you the money, and you give it to us,

0:23:07.996 --> 0:23:09.876
<v Speaker 1>and we'll put it on the break glass in case

0:23:09.916 --> 0:23:10.956
<v Speaker 1>of emergency. Shelf.

0:23:11.076 --> 0:23:13.316
<v Speaker 3>You've used the word bounty, but what the term that

0:23:13.436 --> 0:23:16.556
<v Speaker 3>is normally used is an advanced market commitment. These were

0:23:16.716 --> 0:23:19.436
<v Speaker 3>proposed most famously by Michael Kramer, who's a Nobel Prize

0:23:19.436 --> 0:23:23.596
<v Speaker 3>winner in economics. And basically, the way this price, this

0:23:23.636 --> 0:23:26.116
<v Speaker 3>bounty tends to get paid is as a kind of

0:23:26.476 --> 0:23:28.716
<v Speaker 3>extra payment on top of each dose you sell. Ah,

0:23:28.996 --> 0:23:31.996
<v Speaker 3>so we'll give you extra for every kid that gets vaccinated.

0:23:32.756 --> 0:23:35.036
<v Speaker 1>So or back to the same problem in that universe.

0:23:35.196 --> 0:23:36.796
<v Speaker 3>Back to the same problem. But the reason you go, well,

0:23:36.796 --> 0:23:38.196
<v Speaker 3>why does it have to be like that? It doesn't

0:23:38.236 --> 0:23:39.996
<v Speaker 3>have to be like that. But the reason that they

0:23:40.036 --> 0:23:42.076
<v Speaker 3>tend to be structured like that is because you need

0:23:42.116 --> 0:23:45.676
<v Speaker 3>to demonstrate some kind of market demand. Somebody needs to

0:23:45.676 --> 0:23:48.836
<v Speaker 3>be willing to buy your product. If they are, we'll

0:23:48.876 --> 0:23:51.436
<v Speaker 3>give you an extra payment for every product you sell.

0:23:51.876 --> 0:23:54.396
<v Speaker 3>But that wouldn't work for antibiotics. There's so many different

0:23:54.396 --> 0:23:56.716
<v Speaker 3>ways in which science funding could be said to be broken.

0:23:57.156 --> 0:24:00.836
<v Speaker 3>But I think doctor Couch is right to raise the issue.

0:24:01.076 --> 0:24:02.916
<v Speaker 3>We need to do a lot more of this kind

0:24:02.916 --> 0:24:05.356
<v Speaker 3>of meta thinking about progress studies.

0:24:05.756 --> 0:24:08.196
<v Speaker 1>Tim that was a lot of answer. Let's take a break.

0:24:08.436 --> 0:24:19.116
<v Speaker 1>Cautionary to e will be back in a moment Edward Back.

0:24:19.356 --> 0:24:22.316
<v Speaker 1>I'm Jacob Goldstein here with Tim Harford on cautionary tales.

0:24:22.356 --> 0:24:25.236
<v Speaker 3>Hello, Jacob, more questions? What have you got for me?

0:24:25.636 --> 0:24:29.036
<v Speaker 1>All right, Tim, I got another one for you. Comes

0:24:29.036 --> 0:24:35.636
<v Speaker 1>from Graham in Florida. Graham Rights. I'm fascinated by errors

0:24:35.836 --> 0:24:41.116
<v Speaker 1>made by falsely identifying correlation as causation. What examples of

0:24:41.156 --> 0:24:42.556
<v Speaker 1>this error stand out to you?

0:24:43.596 --> 0:24:45.876
<v Speaker 3>I love the question, but I'm going to slightly sidestep

0:24:45.956 --> 0:24:48.516
<v Speaker 3>it because I'm worried by this question. But I think

0:24:48.556 --> 0:24:55.716
<v Speaker 3>that it's generally more complicated than simply some fool sora

0:24:55.836 --> 0:24:57.636
<v Speaker 3>correlation and thought it was causation.

0:24:58.076 --> 0:25:01.556
<v Speaker 1>You don't want to talk about sun spots and crap yields.

0:25:01.236 --> 0:25:03.836
<v Speaker 3>Well, let's talk about stocks and babies briefly, Okay.

0:25:04.236 --> 0:25:06.036
<v Speaker 1>A classic, A classic of the genre.

0:25:06.196 --> 0:25:10.916
<v Speaker 3>Yeah, the most successful book have a public statistics. How

0:25:10.956 --> 0:25:14.156
<v Speaker 3>to Lie with Statistics by Daryl Huff includes this example

0:25:14.156 --> 0:25:17.276
<v Speaker 3>of stalks and babies and shows that there's a correlation

0:25:17.436 --> 0:25:20.076
<v Speaker 3>between the number of storks and the number of babies.

0:25:20.156 --> 0:25:22.716
<v Speaker 3>And there are various ways to demonstrate this correlation. One

0:25:22.756 --> 0:25:25.356
<v Speaker 3>way to do it is you just look at national populations.

0:25:25.596 --> 0:25:27.836
<v Speaker 3>You go, hey, countries with lots of storks also have

0:25:27.876 --> 0:25:30.196
<v Speaker 3>lots of babies, and there's a very very strong correlation.

0:25:30.676 --> 0:25:33.196
<v Speaker 3>But of course the reason is big places like the

0:25:33.276 --> 0:25:35.716
<v Speaker 3>United States have a lot of room for storks and

0:25:35.756 --> 0:25:38.396
<v Speaker 3>a lot of room for babies, and small places like

0:25:38.396 --> 0:25:40.796
<v Speaker 3>in a Luxembourg or the Vatican City don't have a

0:25:40.796 --> 0:25:42.036
<v Speaker 3>lot of room for babies and don't have a lot

0:25:42.036 --> 0:25:43.756
<v Speaker 3>of room for storks. So then you go, oh, that's

0:25:43.796 --> 0:25:47.196
<v Speaker 3>a great example of this mistake. The sting in the

0:25:47.196 --> 0:25:50.196
<v Speaker 3>tale of that story, as I describe in my book

0:25:50.236 --> 0:25:53.076
<v Speaker 3>The Data Detective, is that Daryl Huff, the guy who

0:25:53.356 --> 0:25:56.996
<v Speaker 3>created that story, then went on to tell the same

0:25:57.036 --> 0:26:03.196
<v Speaker 3>story in congressional testimony, saying that there was no compelling

0:26:03.196 --> 0:26:06.756
<v Speaker 3>evidence that smoking cigarettes would give you lung cancer, and

0:26:06.796 --> 0:26:08.556
<v Speaker 3>it was just like stalks and babies, and he was

0:26:08.556 --> 0:26:11.676
<v Speaker 3>actually high by the tobacco lobby. It was just correlation.

0:26:11.756 --> 0:26:15.716
<v Speaker 3>It was just correlational. They seemed about the same. Sure, yeah,

0:26:15.716 --> 0:26:17.716
<v Speaker 3>there are people who smoke, and that people who get cancer,

0:26:17.756 --> 0:26:21.116
<v Speaker 3>but there's no cause of evidence. One theory was cigarettes

0:26:21.156 --> 0:26:24.076
<v Speaker 3>are so soothing, and if you have some early symptoms

0:26:24.076 --> 0:26:26.716
<v Speaker 3>of lung cancer, maybe you soothe that with the soothing

0:26:26.956 --> 0:26:29.676
<v Speaker 3>vapors of cigarettes. I mean, it's completely ridiculous, but this

0:26:29.716 --> 0:26:32.316
<v Speaker 3>sort of rhetoric was deployed. And so one of the

0:26:32.396 --> 0:26:35.196
<v Speaker 3>things I'm very concerned about in my work on statistics

0:26:35.396 --> 0:26:38.916
<v Speaker 3>is that it's great to be skeptical about statistics and

0:26:38.956 --> 0:26:41.836
<v Speaker 3>to point out lots of examples of statistics being misused.

0:26:41.876 --> 0:26:44.516
<v Speaker 3>But if that's all you do, you just get to

0:26:44.596 --> 0:26:49.756
<v Speaker 3>a canihilistic situation where you're just constantly rejecting statistical evidence

0:26:49.796 --> 0:26:52.436
<v Speaker 3>because it's just another of those damn lines and statistics.

0:26:52.556 --> 0:26:55.276
<v Speaker 3>When you look at the real world, I think this

0:26:55.356 --> 0:26:59.116
<v Speaker 3>gets to be incredibly interesting. So a real hot topic

0:26:59.156 --> 0:27:04.116
<v Speaker 3>at the moment is our smartphones destroying a generation. Basically,

0:27:04.316 --> 0:27:06.396
<v Speaker 3>are our kids having their mental health wrecked.

0:27:06.636 --> 0:27:08.716
<v Speaker 1>There's a new book that basically makes that up.

0:27:08.796 --> 0:27:12.476
<v Speaker 3>Yeah Yeah, by a prominent ecademic yea by Jonathan Hyde,

0:27:12.556 --> 0:27:14.356
<v Speaker 3>and there have been others by Gene Twegian. Lots of

0:27:14.356 --> 0:27:18.236
<v Speaker 3>people have said this, and the evidence for it is

0:27:18.876 --> 0:27:22.956
<v Speaker 3>mostly correlational, not completely. There are some experiments, but they're

0:27:22.956 --> 0:27:25.796
<v Speaker 3>not that convincing. None of them are perfect, but there

0:27:25.796 --> 0:27:28.396
<v Speaker 3>are lots of different ways of measuring it. And the

0:27:28.516 --> 0:27:32.676
<v Speaker 3>really interesting evidence basically says look, there appears to be

0:27:32.676 --> 0:27:35.876
<v Speaker 3>a mental health crisis. The kids seem to get really distressed,

0:27:35.876 --> 0:27:40.956
<v Speaker 3>particularly the girls, when children have access to social media

0:27:41.236 --> 0:27:44.436
<v Speaker 3>on their phones, and that happens around sometime between twenty

0:27:44.556 --> 0:27:47.516
<v Speaker 3>ten and twenty fourteen. And at the same time, suddenly

0:27:47.516 --> 0:27:51.636
<v Speaker 3>you've got this outbreak of suicidal ideation and self harm,

0:27:52.156 --> 0:27:55.156
<v Speaker 3>poor mental health and so on. And that's correlational evidence.

0:27:55.476 --> 0:27:58.476
<v Speaker 3>I don't completely believe it, but I don't completely not

0:27:58.516 --> 0:28:00.596
<v Speaker 3>believe it either. I think that's what makes it interesting

0:28:00.636 --> 0:28:03.356
<v Speaker 3>and makes it important to engage with. You have to

0:28:03.356 --> 0:28:05.916
<v Speaker 3>start going, well, what's the alternative explanation? Is there something

0:28:05.916 --> 0:28:09.076
<v Speaker 3>else that has happened sometime about sort of ten, twelve,

0:28:09.276 --> 0:28:12.796
<v Speaker 3>fourteen years ago that might explain this mental health distress?

0:28:12.836 --> 0:28:14.916
<v Speaker 3>So the timing of the Great Financial Crisis probably not

0:28:14.996 --> 0:28:18.476
<v Speaker 3>quite right. Donald Trump, maybe Donald Trump is upsetting the kids.

0:28:18.916 --> 0:28:21.836
<v Speaker 3>Timing doesn't work, so partly it does. The pattern of

0:28:21.876 --> 0:28:26.676
<v Speaker 3>the correlation make enough sense to explain this causal story, which,

0:28:26.716 --> 0:28:30.236
<v Speaker 3>funny enough, is basically exactly what the scientists finding a

0:28:30.236 --> 0:28:33.036
<v Speaker 3>connection between cigarettes and lung cancer were doing. They only

0:28:33.076 --> 0:28:35.476
<v Speaker 3>had correlational evidence for a long time. They weren't running

0:28:35.516 --> 0:28:38.316
<v Speaker 3>randomized trials saying you know, half of you smoke and

0:28:38.356 --> 0:28:40.276
<v Speaker 3>half of you don't smoke. I mean, they couldn't do that.

0:28:40.556 --> 0:28:43.436
<v Speaker 3>They had to look at correlational evidence, and sometimes that's

0:28:43.516 --> 0:28:44.156
<v Speaker 3>what we've got.

0:28:44.596 --> 0:28:48.196
<v Speaker 1>This question got me thinking about the rise in social

0:28:48.276 --> 0:28:52.436
<v Speaker 1>science of what they call natural experiments, right, trying to

0:28:52.556 --> 0:28:56.876
<v Speaker 1>find instances in the real world where you have something

0:28:57.196 --> 0:28:59.476
<v Speaker 1>that obviously is not as good as a randomized trial,

0:28:59.476 --> 0:29:01.716
<v Speaker 1>because you just can't get that with large numbers of

0:29:01.716 --> 0:29:04.796
<v Speaker 1>people in the world, but that gives you some element

0:29:05.036 --> 0:29:09.756
<v Speaker 1>of randomization or pseudorandomization, something that allows you to try

0:29:09.796 --> 0:29:13.436
<v Speaker 1>and make the leap from correlation to causation. And you know,

0:29:13.556 --> 0:29:15.436
<v Speaker 1>this as far as I know, goes back to the

0:29:15.596 --> 0:29:18.316
<v Speaker 1>Vietnam War, right, where in the US there was a

0:29:18.396 --> 0:29:22.876
<v Speaker 1>draft lottery, and there were social scientists after the war

0:29:23.036 --> 0:29:25.516
<v Speaker 1>who looked and said, oh, look, here are people who

0:29:25.516 --> 0:29:28.996
<v Speaker 1>are at an aggregate level very similar on many dimensions

0:29:28.996 --> 0:29:33.516
<v Speaker 1>socioeconomic dimensions. We can look at people who randomly got

0:29:33.596 --> 0:29:37.196
<v Speaker 1>drafted versus those who randomly didn't, and who appear quite

0:29:37.236 --> 0:29:40.196
<v Speaker 1>similar in the aggregate, and see how their outcomes differ.

0:29:40.356 --> 0:29:43.396
<v Speaker 3>And that's a really good example of a natural experiment.

0:29:43.436 --> 0:29:45.516
<v Speaker 3>Because it's actually very close to a really.

0:29:45.396 --> 0:29:48.116
<v Speaker 1>Yeah, when you get a lottery in the real world. Now,

0:29:48.276 --> 0:29:49.876
<v Speaker 1>social scientists flocked to it.

0:29:49.996 --> 0:29:50.156
<v Speaker 3>Right.

0:29:50.236 --> 0:29:55.196
<v Speaker 1>Similarly, there was one in Oregon some years ago with Medicaid,

0:29:55.196 --> 0:29:58.756
<v Speaker 1>which is the healthcare program for low income people in

0:29:58.756 --> 0:30:02.116
<v Speaker 1>the US, and Oregon got some new Medicaid funds and

0:30:02.156 --> 0:30:06.316
<v Speaker 1>they randomly allocated them to a group of people over time, right,

0:30:06.436 --> 0:30:08.796
<v Speaker 1>so that social scientists could say, oh, look, here are

0:30:08.836 --> 0:30:11.316
<v Speaker 1>people all who are basically identical. Some of them got

0:30:11.356 --> 0:30:13.276
<v Speaker 1>this health insurance and some of them didn't. And in

0:30:13.316 --> 0:30:16.556
<v Speaker 1>that case the findings were quite interesting. Medicaid didn't appear

0:30:16.596 --> 0:30:19.636
<v Speaker 1>to be as helpful as I would have thought, as

0:30:19.676 --> 0:30:22.516
<v Speaker 1>the researchers themselves would have thought. According to the one

0:30:22.556 --> 0:30:26.716
<v Speaker 1>I interviewed, lowered mental health problems. People worried less about money,

0:30:26.716 --> 0:30:30.436
<v Speaker 1>but like their basic health outcomes didn't improve, which nobody

0:30:30.476 --> 0:30:33.596
<v Speaker 1>would have guessed. Right. And the evidence is quite robust.

0:30:34.116 --> 0:30:36.796
<v Speaker 1>When you don't have those lotteries. As you say, the

0:30:36.836 --> 0:30:39.556
<v Speaker 1>world is just hard to understand. I mean, even in

0:30:39.596 --> 0:30:43.596
<v Speaker 1>some instances where you do have randomized trials. People are complicated.

0:30:43.636 --> 0:30:47.556
<v Speaker 1>The body is complicated, society is complicated, and so you know,

0:30:47.716 --> 0:30:51.276
<v Speaker 1>correlation in a certain way I think is underrated, Like, yes,

0:30:51.356 --> 0:30:54.276
<v Speaker 1>obviously it doesn't equal causation, but it's a place to

0:30:54.316 --> 0:30:57.116
<v Speaker 1>start looking, right, it's a place to start asking questions.

0:30:57.156 --> 0:31:00.436
<v Speaker 3>I think that's absolutely right, and we need more randomized experiments.

0:31:00.956 --> 0:31:03.756
<v Speaker 3>There are more opportunities to run them than people seem

0:31:03.796 --> 0:31:05.396
<v Speaker 3>to think. For example, one of the things that John

0:31:05.476 --> 0:31:07.596
<v Speaker 3>Hyde in his book is arguing for is, you know,

0:31:07.716 --> 0:31:11.116
<v Speaker 3>shouldn't have smart funds in school Schools should be phone

0:31:11.156 --> 0:31:14.956
<v Speaker 3>free zones. I could completely imagine a state saying we're

0:31:14.956 --> 0:31:17.796
<v Speaker 3>going to introduce a rule whereby in all of the

0:31:17.876 --> 0:31:21.916
<v Speaker 3>schools in the state, no smartphones strictly forbidden. You have

0:31:21.956 --> 0:31:23.436
<v Speaker 3>to put them in a locker when you show up

0:31:23.476 --> 0:31:25.076
<v Speaker 3>and then unlock them at the end of the day.

0:31:25.396 --> 0:31:27.116
<v Speaker 3>You could introduce that rule and just go, well, we

0:31:27.396 --> 0:31:31.756
<v Speaker 3>introduce it for a semester at random in fifty percent

0:31:31.796 --> 0:31:34.076
<v Speaker 3>of the schools, and then we'll introduce it in the

0:31:34.116 --> 0:31:36.876
<v Speaker 3>other fifty percent of the schools in the next semester,

0:31:36.916 --> 0:31:38.916
<v Speaker 3>and we'll just randomize that because we want to know

0:31:38.956 --> 0:31:41.836
<v Speaker 3>whether there's any point in this experiment or not. That's

0:31:41.956 --> 0:31:44.916
<v Speaker 3>not very difficult to do. It would create so much

0:31:44.956 --> 0:31:49.636
<v Speaker 3>information about children's performance in the classroom, their mental health,

0:31:49.956 --> 0:31:51.876
<v Speaker 3>that could inform policy across the world.

0:31:52.196 --> 0:31:54.996
<v Speaker 1>That would be the dream. You know, there is now

0:31:55.036 --> 0:31:59.676
<v Speaker 1>a robust set of methods essentially where social scientists could

0:31:59.716 --> 0:32:02.516
<v Speaker 1>look at that state and compare it to neighboring states

0:32:02.636 --> 0:32:05.476
<v Speaker 1>and see the difference in differences, as they say, see

0:32:05.516 --> 0:32:08.716
<v Speaker 1>the change over time. And that's an instance where it

0:32:08.716 --> 0:32:12.156
<v Speaker 1>wouldn't as elegant as randomizing within a state. But I

0:32:12.156 --> 0:32:14.396
<v Speaker 1>feel like you could start to get pretty good data

0:32:14.476 --> 0:32:17.796
<v Speaker 1>even if you did one state compared to other states.

0:32:18.116 --> 0:32:20.876
<v Speaker 3>Yeah, if you've got no experiments, we should run them.

0:32:21.036 --> 0:32:23.196
<v Speaker 3>If we don't run them, there are still ways of

0:32:23.236 --> 0:32:27.196
<v Speaker 3>making correlation talk. Should we have another question?

0:32:28.236 --> 0:32:30.636
<v Speaker 1>Okay, Tim, we got one more. We had to have

0:32:30.836 --> 0:32:35.316
<v Speaker 1>one game related question for right, Yes, you're welcome. This

0:32:35.356 --> 0:32:40.076
<v Speaker 1>one comes from Yost, who writes, Hi, Tim, diving into

0:32:40.076 --> 0:32:43.916
<v Speaker 1>the board game shaped flank you've now exposed for discussion.

0:32:44.116 --> 0:32:47.916
<v Speaker 1>That is a very gamersh way in what board games

0:32:48.036 --> 0:32:51.556
<v Speaker 1>or board game mechanisms that you enjoy are particularly insightful

0:32:51.636 --> 0:32:55.596
<v Speaker 1>on some aspect of real world economics offer a unique

0:32:55.636 --> 0:32:59.836
<v Speaker 1>angle to look at a maybe niche problem and what

0:33:00.116 --> 0:33:03.516
<v Speaker 1>non D and D games are you particularly enjoying right now?

0:33:04.236 --> 0:33:08.236
<v Speaker 1>Love the show? However, many episodes you produce that is

0:33:08.276 --> 0:33:11.996
<v Speaker 1>a listener? We all yeah, yeah, so kind your.

0:33:12.036 --> 0:33:13.996
<v Speaker 3>There are a couple of mechanisms that I do see

0:33:14.476 --> 0:33:17.676
<v Speaker 3>used quite often that shared important light on economics. So

0:33:17.756 --> 0:33:21.916
<v Speaker 3>one is trading. A lot of games involved trading. Now Monopoly,

0:33:22.036 --> 0:33:25.476
<v Speaker 3>that classic of sadly not a very good game. Oh

0:33:25.476 --> 0:33:27.716
<v Speaker 3>there's a cautionary tell about the history of Monopoly if

0:33:27.716 --> 0:33:31.796
<v Speaker 3>people want to listen. Monopoly in theory involves trading, but

0:33:31.876 --> 0:33:34.636
<v Speaker 3>in practice, not a lot of trading happens. It turns

0:33:34.676 --> 0:33:39.116
<v Speaker 3>out that you need to give people a reason to trade.

0:33:39.316 --> 0:33:42.276
<v Speaker 3>The great modern game Settlers now about thirty years old.

0:33:42.396 --> 0:33:44.836
<v Speaker 1>By the way, Settlers, I assume that Settlers of Catan

0:33:45.076 --> 0:33:47.876
<v Speaker 1>as an outsider, not on a first name basis, with the.

0:33:47.836 --> 0:33:50.916
<v Speaker 3>Game, Settlers of Katan is the game. It's super It's

0:33:50.916 --> 0:33:53.676
<v Speaker 3>the game that Monopoly wishes it was. It's like if

0:33:53.716 --> 0:33:57.276
<v Speaker 3>Monopoly had been designed with a modern eye to be

0:33:57.396 --> 0:34:02.236
<v Speaker 3>super exciting. The people need different resources, and the supply

0:34:02.316 --> 0:34:04.996
<v Speaker 3>of resources fluctuates, so sometimes you've got loads of wood,

0:34:05.076 --> 0:34:07.596
<v Speaker 3>sometimes there's no wood. So there's an active incentive to

0:34:07.636 --> 0:34:09.876
<v Speaker 3>trade all the time. By the way, if you don't trade,

0:34:09.876 --> 0:34:11.836
<v Speaker 3>every now and then the robber Barron comes and take stuff.

0:34:11.956 --> 0:34:14.876
<v Speaker 3>So it's an interesting insight that trading doesn't just happen

0:34:15.356 --> 0:34:18.076
<v Speaker 3>because it's allowed. There needs to be some difference in

0:34:18.196 --> 0:34:20.276
<v Speaker 3>value and perhaps some incentive to get on with it.

0:34:21.156 --> 0:34:25.076
<v Speaker 3>So my personal favorite game is a gricler, a wonderful

0:34:25.116 --> 0:34:27.996
<v Speaker 3>game about developing a farm, which doesn't sound promising, but

0:34:28.036 --> 0:34:30.556
<v Speaker 3>it's really really good. But one of the clever things

0:34:30.596 --> 0:34:33.596
<v Speaker 3>about a grickler is it uses an auction in an

0:34:33.596 --> 0:34:37.356
<v Speaker 3>interesting way. But it's sometimes called a descending clock auction

0:34:37.556 --> 0:34:41.556
<v Speaker 3>or a Dutch auction. The prize gets more and more tempting,

0:34:42.236 --> 0:34:44.476
<v Speaker 3>so in a grickller there's just more and more good

0:34:44.476 --> 0:34:47.876
<v Speaker 3>stuff on the board. In a traditional descending clock auction,

0:34:47.956 --> 0:34:49.796
<v Speaker 3>basically the price is going down and down and down

0:34:49.796 --> 0:34:51.916
<v Speaker 3>and down, and everyone is just sitting there and then

0:34:51.956 --> 0:34:54.396
<v Speaker 3>it's a question of who grabs it first. The longer

0:34:54.436 --> 0:34:57.596
<v Speaker 3>you leave it, the better it gets, but then only

0:34:57.636 --> 0:34:59.796
<v Speaker 3>one person can have it. It's very very elegant. They

0:34:59.796 --> 0:35:03.676
<v Speaker 3>sell flowers at Alsmere in the Netherlands and it's just

0:35:03.716 --> 0:35:07.356
<v Speaker 3>incredibly quick, much much quicker than selling say art. You

0:35:07.356 --> 0:35:09.956
<v Speaker 3>know you're selling a van god price rises and rises

0:35:09.956 --> 0:35:10.316
<v Speaker 3>and rises.

0:35:10.436 --> 0:35:12.876
<v Speaker 1>So auction design is a whole thing, right, Yeah, When

0:35:12.916 --> 0:35:16.636
<v Speaker 1>would you choose the traditional prices going up eBay art

0:35:16.676 --> 0:35:19.396
<v Speaker 1>style auction in the real world, and when would you

0:35:19.476 --> 0:35:22.156
<v Speaker 1>choose a Dutch prices going down auction? What do you

0:35:22.236 --> 0:35:24.396
<v Speaker 1>get in a relative sense out of each one of those.

0:35:24.396 --> 0:35:28.156
<v Speaker 3>There's a couple of differences. One is that in certain

0:35:28.236 --> 0:35:32.316
<v Speaker 3>types of ascending auction you get to see people dropping

0:35:32.316 --> 0:35:34.316
<v Speaker 3>out as the price rises. It depends on the way

0:35:34.316 --> 0:35:37.036
<v Speaker 3>the auction is designed. But you could imagine an ascending

0:35:37.076 --> 0:35:39.316
<v Speaker 3>auction where you just see people going no, I'm out,

0:35:39.356 --> 0:35:40.396
<v Speaker 3>I'm out, I'm out.

0:35:40.716 --> 0:35:43.676
<v Speaker 1>Sort of the classic kind of art auction in a movie.

0:35:43.836 --> 0:35:46.436
<v Speaker 3>Yeah, and so you're learning information as the price rises.

0:35:46.476 --> 0:35:48.156
<v Speaker 3>How many people are still interested? Are there's still ten

0:35:48.196 --> 0:35:51.676
<v Speaker 3>people interested? Is it just two people? So that generates information.

0:35:51.796 --> 0:35:56.276
<v Speaker 3>By generating information, it might raise the final price. Overall.

0:35:56.836 --> 0:36:00.196
<v Speaker 3>The advantage of the descending auction is it's just so quick.

0:36:00.436 --> 0:36:03.996
<v Speaker 3>You can run an auction in ten seconds. It's one

0:36:04.036 --> 0:36:06.436
<v Speaker 3>hundred thousand tulips. Here are the tulips. We're going to

0:36:06.516 --> 0:36:11.836
<v Speaker 3>sell them for whatever, ten thousand years, nine hundred and

0:36:11.836 --> 0:36:14.516
<v Speaker 3>thin thousand, and it's literally a clock. The clock just

0:36:14.996 --> 0:36:17.756
<v Speaker 3>runs around showing what the price is and then someone

0:36:17.796 --> 0:36:21.516
<v Speaker 3>presses the button. Sold, okay, now bringing the roses. So

0:36:21.556 --> 0:36:22.356
<v Speaker 3>it's very fast.

0:36:22.556 --> 0:36:24.436
<v Speaker 1>You would want to have a good idea of the

0:36:24.516 --> 0:36:26.396
<v Speaker 1>market clearing price if you were going to run that

0:36:26.556 --> 0:36:28.396
<v Speaker 1>kind of auction, so that you didn't sell it for

0:36:28.476 --> 0:36:31.236
<v Speaker 1>too cheap. Right, it's fast, but you run the risk

0:36:31.276 --> 0:36:32.796
<v Speaker 1>of selling it for too cheap. But if it's just

0:36:32.876 --> 0:36:36.156
<v Speaker 1>commodity toolips, then you basically know the market clearing price. Anyways.

0:36:36.236 --> 0:36:38.556
<v Speaker 3>Yeah, it's almost like a stock market for tulips. That

0:36:38.716 --> 0:36:40.596
<v Speaker 3>I think is why it works so well. Whereas if

0:36:40.676 --> 0:36:42.876
<v Speaker 3>it's a unique work of art, you need to give

0:36:42.956 --> 0:36:46.276
<v Speaker 3>maximum information, maximum comfort to people, maybe a little bit

0:36:46.316 --> 0:36:48.596
<v Speaker 3>of theater as well. We're not in a hurry to

0:36:48.636 --> 0:36:50.956
<v Speaker 3>run this auction. The cost of the auction itself is

0:36:51.076 --> 0:36:54.396
<v Speaker 3>trivial compared to the value of what's being sold.

0:36:54.996 --> 0:36:57.316
<v Speaker 1>Now we go over to Agricola and have a descending action.

0:36:57.516 --> 0:37:00.796
<v Speaker 1>It feels exciting, and it also feels like you're trying

0:37:00.876 --> 0:37:03.316
<v Speaker 1>to guess what is in your opponent's head, right, because

0:37:03.356 --> 0:37:06.756
<v Speaker 1>they're not revealing it as they would in ascending price auction,

0:37:06.916 --> 0:37:08.876
<v Speaker 1>you have to think, oh, what are they willing.

0:37:08.676 --> 0:37:10.956
<v Speaker 3>To pay for? Absolutely, and it works slightly differently, but

0:37:11.036 --> 0:37:14.516
<v Speaker 3>the functionally what's going on is that every turn you

0:37:14.716 --> 0:37:17.476
<v Speaker 3>take you get to grab some resource on the board,

0:37:17.676 --> 0:37:19.676
<v Speaker 3>and then once you've grabbed the resource on the board,

0:37:19.996 --> 0:37:22.276
<v Speaker 3>no one else is allowed to grab it until the

0:37:22.356 --> 0:37:24.476
<v Speaker 3>next round. And there are several moves you can make

0:37:24.516 --> 0:37:26.156
<v Speaker 3>in each turn, so you might be able to get

0:37:26.196 --> 0:37:28.956
<v Speaker 3>two or three things each turn. And so you go

0:37:29.036 --> 0:37:30.996
<v Speaker 3>backwards and forwards. It's your move and it's my move.

0:37:31.076 --> 0:37:33.436
<v Speaker 3>And each time we want to grab something, and you

0:37:33.516 --> 0:37:34.796
<v Speaker 3>might go, well do I want to grab it now?

0:37:34.876 --> 0:37:37.116
<v Speaker 3>What do I want to wait until next turn where

0:37:37.116 --> 0:37:38.836
<v Speaker 3>it might be better? And you're trying to figure out, like,

0:37:38.916 --> 0:37:41.796
<v Speaker 3>what is the thing that the other person is desperate

0:37:41.876 --> 0:37:45.716
<v Speaker 3>to have? Can I just let this pile get bigger

0:37:46.196 --> 0:37:47.996
<v Speaker 3>because they can't afford to take it because they've got

0:37:48.036 --> 0:37:50.276
<v Speaker 3>to use their move on something else. It's a very

0:37:50.436 --> 0:37:53.436
<v Speaker 3>very clever game. I do enjoy it. You just also

0:37:53.516 --> 0:37:56.956
<v Speaker 3>ask what non D and D games I am enjoying.

0:37:57.436 --> 0:38:00.916
<v Speaker 3>I am enjoying a modified version of Blades in the Dark,

0:38:01.156 --> 0:38:04.676
<v Speaker 3>Whi's a classic role playing game, very fast moving, you

0:38:04.756 --> 0:38:07.596
<v Speaker 3>get to do Ocean's eleven or other kind of heists,

0:38:07.996 --> 0:38:12.556
<v Speaker 3>and it's very modifiable. We're speaking on Monday. Just yesterday

0:38:12.596 --> 0:38:14.996
<v Speaker 3>on Sunday, had a whole bunch of old friends around

0:38:15.156 --> 0:38:18.036
<v Speaker 3>to my house and we just played this game all

0:38:18.116 --> 0:38:20.756
<v Speaker 3>day and we had an absolutely terrific time.

0:38:21.076 --> 0:38:23.636
<v Speaker 1>I feel like you're living the dream, Harfred makes me happy,

0:38:23.796 --> 0:38:24.676
<v Speaker 1>living my best life.

0:38:25.676 --> 0:38:27.676
<v Speaker 3>Jacob, this has been such fun. Thank you so much

0:38:27.716 --> 0:38:28.156
<v Speaker 3>for doing this.

0:38:28.556 --> 0:38:31.116
<v Speaker 1>Ah, it was a delight. I'll come back anytime.

0:38:31.676 --> 0:38:35.036
<v Speaker 3>We would love to have you back. Thank you everybody

0:38:35.036 --> 0:38:36.756
<v Speaker 3>who sent in a question. Sorry, we weren't able to

0:38:36.796 --> 0:38:38.436
<v Speaker 3>answer all the questions, but we are going to be

0:38:38.516 --> 0:38:42.276
<v Speaker 3>back with another Cautionary Questions episode later this year. Please

0:38:42.356 --> 0:38:45.796
<v Speaker 3>do keep your queries coming, send them into tales at

0:38:45.876 --> 0:38:49.036
<v Speaker 3>pushkin dot fm. That's t a l e s at

0:38:49.156 --> 0:38:53.236
<v Speaker 3>Pushkin dot fm and I'll be back with another Cautionary

0:38:53.316 --> 0:38:56.916
<v Speaker 3>Tale in two weeks time. Jacob Goldstein has a wonderful

0:38:56.956 --> 0:39:00.316
<v Speaker 3>podcast called What's Your Problem? Thank You, Jacob, Thanks Jim

0:39:08.436 --> 0:39:11.956
<v Speaker 3>Caul is written by me, Tim Harford with Andrew Wright.

0:39:12.436 --> 0:39:15.716
<v Speaker 3>It's produced by Alice Fines with support from Marilyn Rust.

0:39:16.236 --> 0:39:18.756
<v Speaker 3>The sound design and original music is the work of

0:39:18.836 --> 0:39:23.716
<v Speaker 3>Pascal Wise. Sarah Nix edited the scripts. It features the

0:39:23.796 --> 0:39:27.996
<v Speaker 3>voice talents of Ben Crowe, Melanie Guttridge, Stella Harford, Jemma

0:39:28.036 --> 0:39:31.876
<v Speaker 3>Saunders and rufus Wright. The show also wouldn't have been

0:39:31.956 --> 0:39:36.316
<v Speaker 3>possible without the work of Jacob Weisberg, Ryan Dilly, Gretta Cohne,

0:39:36.836 --> 0:39:42.116
<v Speaker 3>Vital Millard, John Schnaz, Eric's handler, Carrie Brody, and Christina Sullivan.

0:39:42.956 --> 0:39:47.556
<v Speaker 3>Cautionary Tales is a production of Pushkin Industries. It's recorded

0:39:47.596 --> 0:39:51.316
<v Speaker 3>at Wardoor Studios in London by Tom Berry. If you

0:39:51.556 --> 0:39:55.716
<v Speaker 3>like the show, please remember to share, rate and review,

0:39:56.276 --> 0:39:58.396
<v Speaker 3>tell your friends and if you want to hear the

0:39:58.476 --> 0:40:01.916
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0:40:01.996 --> 0:40:06.036
<v Speaker 3>show page in Apple Podcasts or at pushkin dot fm,

0:40:06.436 --> 0:40:07.436
<v Speaker 3>slash plus