WEBVTT - Best Of Risky Business: Lessons From The River

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<v Speaker 1>Pushkin.

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<v Speaker 2>Hey everyone, we are off for the holidays, so we

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<v Speaker 2>wanted to reshare one of our favorite episodes last year,

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<v Speaker 2>when Nate's book On the Edge came out, I had

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<v Speaker 2>a chance to interview him about it on the podcast,

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<v Speaker 2>and I thought it would be really fun to take

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<v Speaker 2>a look back at that interview where Nate was in

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<v Speaker 2>the interviewee seat. Then I wrote a little review recap

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<v Speaker 2>of the book on my sub stock. If somehow you

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<v Speaker 2>are listening to Risky Business and you have not read

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<v Speaker 2>the book, please read the book. It's wonderful, Nate. You

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<v Speaker 2>did such a great job and I really enjoyed that conversation.

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<v Speaker 3>Yeah, no, look, maybe I should go back and read

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<v Speaker 3>that book is pression. I think it's talking about all

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<v Speaker 3>the kind of topics from you know, prediction markets to

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<v Speaker 3>AI to crypto that are our only you know, to

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<v Speaker 3>gambling scandals right that are only becoming more pertinent today.

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<v Speaker 3>But thank you for that interview, Maria, And yeah, maybe

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<v Speaker 3>I'll take a listen to myself.

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<v Speaker 2>Yeah, so enjoy everyone.

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<v Speaker 1>So, first of all, Nate, congratulations. I know that this

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<v Speaker 1>was a long time coming labor of many many years.

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<v Speaker 3>Yeah no, I spent basically three years of my life

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<v Speaker 3>where I'd say this is my main professional focus, talk

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<v Speaker 3>to two hundred people, and I know, I just I

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<v Speaker 3>would recommend email really smart people and ask to have

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<v Speaker 3>a conversation with them and pretend it's for a book,

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<v Speaker 3>and then don't write the book. That's probably still worth

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<v Speaker 3>it in some sense. But no, I actually went ahead

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<v Speaker 3>and wrote the book.

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<v Speaker 1>And we're very glad you did. So I'm going to

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<v Speaker 1>start with Nate. In the book, you make this distinction

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<v Speaker 1>between two community. You have the village and you have

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<v Speaker 1>the river. Talk me through what exactly those mean.

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<v Speaker 3>Let's start with the village, even though it's not the

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<v Speaker 3>focus of the book, just because it's a little bit

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<v Speaker 3>easier to define in a term that's more conventional. The

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<v Speaker 3>village is basically the kind of liberal, progressive East Coast establishment.

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<v Speaker 3>So it's the New York Times, it's Harvard University, it's

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<v Speaker 3>think tanks and nonprofits, it's you know, government when you

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<v Speaker 3>have a Democrat in office at least, it's kind of

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<v Speaker 3>the expert class, the professional managerial class, that whole cluster

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<v Speaker 3>of attributes. By contrast, the river is kind of the

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<v Speaker 3>world that I suppose I inhabit, or I imagine myself inhabiting.

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<v Speaker 3>It's the world of calculator risk taking, where people are

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<v Speaker 3>some combination of being very analytical and extremely wildly competitive.

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<v Speaker 3>So like poker is an archetypal maybe the archetypal river activity.

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<v Speaker 3>But as I discovered this world in the book, you know,

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<v Speaker 3>I found that the venture capitalist and the effective at

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<v Speaker 3>and the hedge fund people, and the sports betters, even

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<v Speaker 3>the crypto people, they all have a common vocabulary. They

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<v Speaker 3>all talk about things in roughly the same ways, and

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<v Speaker 3>so it's like it's not a place, it's a discrete community.

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<v Speaker 3>I mean, in Las Vegas and Silicon Valley you might

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<v Speaker 3>get closer to an actual network, but like they're just

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<v Speaker 3>these people that I think are often poorly understood by

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<v Speaker 3>the mainstream media and yet are incredibly wealthy and powerful.

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<v Speaker 3>Many of the richest people in the world have some

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<v Speaker 3>of these river tendencies, and like, surprisingly to me, would

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<v Speaker 3>take my emails and my phone calls because they kind

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<v Speaker 3>of recognize like a fellow traveler a little bit. And

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<v Speaker 3>then what I discovered is that the kind of conceit

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<v Speaker 3>of the proposal that actually there's a commonalities in how

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<v Speaker 3>people think more was more literally true than I had thought,

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<v Speaker 3>and that there's more literal crossover poker players who become

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<v Speaker 3>effective altruists, or hedge funders who host poker games, or

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<v Speaker 3>venture capitalists who do sports betting is a metaphor for

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<v Speaker 3>some of these things. So it's a real place of

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<v Speaker 3>a real group of people that I think, Maria are

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<v Speaker 3>in our circles, maybe not the only circle to run in,

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<v Speaker 3>but certainly one common type. And I felt like I

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<v Speaker 3>had the opportunity to tell a really good story about

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<v Speaker 3>these people. I did not. I think I got lucky.

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<v Speaker 3>I think I'm running in my like ninety eighth percentile

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<v Speaker 3>run good for how some of these topics really blew up.

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<v Speaker 3>I mean Ai in particular, although that was a fairly

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<v Speaker 3>incidental thing in the book Effective Altruism and its particularly

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<v Speaker 3>Sam Bakman Free who had talked to first before the

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<v Speaker 3>collapse and then got to talk to you afterwards as well.

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<v Speaker 1>Yeah, so you draw some really interesting parallels between worlds

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<v Speaker 1>that I didn't necessarily connect, like obviously poker sports bedding,

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<v Speaker 1>Like yes, you know, I get why those things are related.

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<v Speaker 1>Then you go into finance, you go into venture capital

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<v Speaker 1>and the hedge world in Silicon Valley you go into

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<v Speaker 1>AI and people who are kind of the AI researchers,

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<v Speaker 1>and I actually love your little side where you have

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<v Speaker 1>the physical risk taker. Yes, where you have the astronauts,

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<v Speaker 1>and I love that you have a female astronaut. By

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<v Speaker 1>the way, did you on purpose, like, did you try

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<v Speaker 1>to have two women or did that just so happen?

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<v Speaker 1>You know, because as you know, like it's something that

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<v Speaker 1>is interesting to me, And when you're talking about risk takers,

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<v Speaker 1>people often assume men, and so I was very curious

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<v Speaker 1>if that was a deliberate choice or if it just

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<v Speaker 1>so happens that these most interesting stories happen to be female.

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<v Speaker 3>No, there there was a deliberate choice made to I mean, look,

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<v Speaker 3>it's a careful balance to strike because it is a

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<v Speaker 3>world that's very male. Also world that is pokers a

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<v Speaker 3>little bit more diverse, but the rest of the river

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<v Speaker 3>is quite white and or Asian and or Asian sometimes.

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<v Speaker 3>So there was a deliberate choice to like not sugarcoat

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<v Speaker 3>this and pretend it's all a fifty fifty like. But

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<v Speaker 3>also the I call them characters. The people I talked to,

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<v Speaker 3>like Katharine Sullivan, this astronaut's amazing, and she has an

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<v Speaker 3>amazing stories and she was studying like oceanography in Nova

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<v Speaker 3>Scotia and beat out like ten thousand other people to

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<v Speaker 3>become an astronaut. I mean, it's an amazing story. Cataline Kaiko,

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<v Speaker 3>I had to learn all the names pronounced correctly for

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<v Speaker 3>the audiobook and no I'd forgotten them. Who was this

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<v Speaker 3>woman who like smuggled money in a Teddy Bear to

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<v Speaker 3>move out of Hungary and then was just shot upon

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<v Speaker 3>in the establishment while she was working on MR and

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<v Speaker 3>A vaccines and eventually joined biointech and won the Nobel Prize.

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<v Speaker 3>Co won the Nobel Prize for her work on MR

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<v Speaker 3>and A vaccines. I mean, they have amazing stories. Or

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<v Speaker 3>someone like our mutual friend but one of the best

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<v Speaker 3>poker players in the world. I think Maria Ho who

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<v Speaker 3>has great stories to tell too so so or Vanessa

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<v Speaker 3>Selps is another person that we know but like it's

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<v Speaker 3>just an amazing person. So yeah, I mean, when you

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<v Speaker 3>find people like that and you want to tell their stories.

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<v Speaker 3>And there was, but there's also sections that directly tackle

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<v Speaker 3>There's one section the poker chapter about why an't there

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<v Speaker 3>more women in poker? And then one section in the

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<v Speaker 3>VC chapter about why are there so few black and

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<v Speaker 3>Hispanic and women founders, and so you have to take

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<v Speaker 3>it on directly without it being a woke book because

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<v Speaker 3>I'm not super woke, but you can't. But there are

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<v Speaker 3>real shortcomings here. I mean the VCS in particular, I think,

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<v Speaker 3>are they claim to want people who have overcome, who

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<v Speaker 3>have grit, who have overcome odds, and who are high variants,

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<v Speaker 3>who are different than the consensus, and yet they have

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<v Speaker 3>this prototype of like the on the spectrum, you know,

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<v Speaker 3>white or Asian twenty something nerd who dropped out of

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<v Speaker 3>Harvard or MIT as a sophomore and Sam mcminfreed played

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<v Speaker 3>into that stereotype, and they're not actually, I think, trying

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<v Speaker 3>to diversify their portfolio, and it just in a purely

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<v Speaker 3>not moral but even like financial sense of wanting like

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<v Speaker 3>high variance founders.

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<v Speaker 1>Yeah. No, I think one of the things that I

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<v Speaker 1>enjoyed about the book is that it's about how to

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<v Speaker 1>take risk well. But you also talk about some of

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<v Speaker 1>the shortcomings of the of the people on the River

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<v Speaker 1>and how they think about risk. But first, let's talk

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<v Speaker 1>about kind of the good elements. So what does the

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<v Speaker 1>river have in common when it comes to evaluating risk.

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<v Speaker 1>What can we take away from them when we're thinking

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<v Speaker 1>about Okay, I am, you know, Maria, everyday person. How

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<v Speaker 1>do I kind of think about risk in my life?

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<v Speaker 1>What do I take from these people who take risks

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<v Speaker 1>professionally so that I can just make better decisions and

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<v Speaker 1>better risk assessments myself.

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<v Speaker 3>So let me take the two axioms that you hear

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<v Speaker 3>over and over and over again in Silicon Valley and

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<v Speaker 3>make it very successful financially despite having all these flaws.

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<v Speaker 3>I mean, some of these guys are difficult people. It

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<v Speaker 3>is mostly guys. It's not very diverse. There are some

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<v Speaker 3>big flaws, right, I think their political instincts are often poor.

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<v Speaker 3>But they do two things, one of which is they

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<v Speaker 3>understand expected value, which is kind of the theme of

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<v Speaker 3>this show. They understand that if you can make a

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<v Speaker 3>bet that has a ten percent chance of one hundred

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<v Speaker 3>act payout, that's an extraordinarily good bet. And then you

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<v Speaker 3>can make a lot of those bits by aggregating different

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<v Speaker 3>companies into a fund, then you're kind of guaranteed to

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<v Speaker 3>make money and maybe make a lot of money. And

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<v Speaker 3>it also applies to things like evaluating nuclear war risk

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<v Speaker 3>or AI risk. Things that might be you know, a

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<v Speaker 3>two percent chance in over some timeframe, or five percent

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<v Speaker 3>chance whatever else, but have like very bad to infinitely

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<v Speaker 3>bad negative payouts. The second thing that Silicon Valley knows

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<v Speaker 3>is that having a longer time horizon is really worth it.

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<v Speaker 3>We're a country that likes to make money, but we're

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<v Speaker 3>a get rich quick country and not to get rich

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<v Speaker 3>slowly country. When you're investing in startups, early stage startups,

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<v Speaker 3>they often have a time horizon. You know, SpaceX took

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<v Speaker 3>thirteen years I think to make a first profit nine

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<v Speaker 3>year would actually even launched a rocket successfully or something

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<v Speaker 3>like that. So I think you almost always benefit from

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<v Speaker 3>having like a longer time horizon than other people. People

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<v Speaker 3>just discount the long term future wait much even in

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<v Speaker 3>their personal lives, I think. And so therefore those I

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<v Speaker 3>think are kind of the two foremost lessons and why

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<v Speaker 3>the book is you know, kind of ambivalently to positive

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<v Speaker 3>on that Silicon Valley ethos, even though the individual characters

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<v Speaker 3>there are are complex.

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<v Speaker 1>So one of the things that you stress over and

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<v Speaker 1>over is that people who evaluate risk correctly and make

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<v Speaker 1>risks that tend to pay out over the long term,

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<v Speaker 1>they not only can understand the upside, but they can

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<v Speaker 1>also protect against the risk of ruin, right, the risk

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<v Speaker 1>of not being able to take these risks going forward.

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<v Speaker 1>So first, I'd love for you to talk a little

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<v Speaker 1>bit about this idea of risk of ruin because you

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<v Speaker 1>talk about people who do it correctly and then people

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<v Speaker 1>who might not, and and also like how do you

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<v Speaker 1>how do you balance that, and how might that be

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<v Speaker 1>different from person to person.

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<v Speaker 3>Yeah, I mean, we have this abstract concept in poker

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<v Speaker 3>of a bank roll, which is and that is, how

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<v Speaker 3>much money can you spend on poker before your kind

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<v Speaker 3>of poker broke or at least you're severely limited in

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<v Speaker 3>the size of the games you might play, and you

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<v Speaker 3>might have to pass up positive evy opportunities. So to

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<v Speaker 3>some extent, this is related to the idea of opportunity cost.

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<v Speaker 3>There's a famous formula from sports betting called the Kelly criterion,

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<v Speaker 3>which tells you how much can you bet to maximize

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<v Speaker 3>your expected value without enduring a very high risk of ruin.

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<v Speaker 3>Now I can get into the technicalities of why that

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<v Speaker 3>formula might make you a little bit more aggressive than

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<v Speaker 3>you should be. In general, though like ninety percent of

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<v Speaker 3>people in the world are I think too risk averse

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<v Speaker 3>about this kind of thing. This goes back to, as

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<v Speaker 3>you'll know, like some of the condoment and diversity work

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<v Speaker 3>on prospect theory, it may have also an evolutionary base

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<v Speaker 3>where we weren't living in the time of abundance that

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<v Speaker 3>we are now and so and so. You know, you

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<v Speaker 3>only got one shot before it made sense to protect

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<v Speaker 3>your household. It made sense to be very cautious about

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<v Speaker 3>if you get an infection, you might die. And I

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<v Speaker 3>think people have not adapted to this world of abundant

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<v Speaker 3>but confusing opportunity that we have very much. Annie Duke

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<v Speaker 3>wrote a book called Quit, and she's in the book too,

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<v Speaker 3>also a former hooker player. Of course, she cites studies

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<v Speaker 3>like by Steve Levitt of fre Economics that when they

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<v Speaker 3>have people flip a coin to make a decision, and

0:12:29.244 --> 0:12:31.604
<v Speaker 3>a major decision, not like am I getting Thai food

0:12:31.644 --> 0:12:33.164
<v Speaker 3>or Indian for dinner tonight, which I do flip a

0:12:33.164 --> 0:12:35.764
<v Speaker 3>coin about sometimes, by the way, but things like should

0:12:35.804 --> 0:12:38.004
<v Speaker 3>I leave my partner, or should I quit my job,

0:12:38.204 --> 0:12:40.164
<v Speaker 3>or should I move across the country to a different

0:12:40.404 --> 0:12:43.044
<v Speaker 3>part of the world. People are happier on average when

0:12:43.084 --> 0:12:46.084
<v Speaker 3>they make a change and so you know, the ninety

0:12:46.084 --> 0:12:48.684
<v Speaker 3>percent of people who are risk averse maybe could take

0:12:48.684 --> 0:12:50.684
<v Speaker 3>some messages from that book. Then, but you also meet

0:12:50.724 --> 0:12:52.564
<v Speaker 3>the sbfs and the Elon Musks of the world.

0:12:54.484 --> 0:12:58.724
<v Speaker 1>And let's actually unwrap that last bit a little bit.

0:12:58.764 --> 0:13:03.124
<v Speaker 1>The sbfs and the Elon Musks because you write about

0:13:03.844 --> 0:13:08.124
<v Speaker 1>the fact that you know, obviously they are people. Wouldn't

0:13:08.884 --> 0:13:12.084
<v Speaker 1>people don't necessarily lump them together, right, because Elon Musk

0:13:12.164 --> 0:13:15.204
<v Speaker 1>is someone who is the richest man in the world,

0:13:15.284 --> 0:13:18.124
<v Speaker 1>and then SBF is going to jail. However, they do

0:13:18.364 --> 0:13:21.924
<v Speaker 1>have this one characteristic in common. So would I would

0:13:21.964 --> 0:13:23.284
<v Speaker 1>love for you to expand on that alone.

0:13:23.364 --> 0:13:25.164
<v Speaker 3>Yeah, and I should be clear, I mean I don't

0:13:25.164 --> 0:13:28.244
<v Speaker 3>mean to I am very and the book is very

0:13:28.324 --> 0:13:32.724
<v Speaker 3>unsympathetic to SBF. I'm not saying I'm sympathetic to Elon.

0:13:32.764 --> 0:13:34.604
<v Speaker 3>But Elon has accomplished a lot of things, and I

0:13:34.604 --> 0:13:38.284
<v Speaker 3>think Elon's a real person whose career wasn't based on

0:13:38.964 --> 0:13:40.644
<v Speaker 3>I mean, I don't think Sam's ull career was based

0:13:40.684 --> 0:13:42.204
<v Speaker 3>on fraud, but he didn't. You know, Elon has not

0:13:42.204 --> 0:13:48.124
<v Speaker 3>committed ten billion dollars worth of stealing people's crypto deposits. Basically, Yeah,

0:13:48.164 --> 0:13:51.524
<v Speaker 3>they are the two people that really, really really go

0:13:52.404 --> 0:13:53.884
<v Speaker 3>Baalse to the wall. I think we can use that

0:13:53.924 --> 0:13:54.884
<v Speaker 3>phrase in terms of risk.

0:13:54.964 --> 0:13:55.444
<v Speaker 1>Absolutely.

0:13:56.364 --> 0:13:58.804
<v Speaker 3>If you read the Walter Isaacson book on Elon Musk,

0:13:59.044 --> 0:14:02.364
<v Speaker 3>his poker strategy is literally going all in every hand

0:14:02.444 --> 0:14:04.404
<v Speaker 3>until he runs out of money or wins it all.

0:14:04.444 --> 0:14:06.404
<v Speaker 1>I didn't know that that was crazy to me.

0:14:07.284 --> 0:14:10.764
<v Speaker 3>It makes sense, so I've I've played in the all

0:14:10.804 --> 0:14:13.324
<v Speaker 3>in podcast poker game a couple of times with some

0:14:13.364 --> 0:14:17.284
<v Speaker 3>of Elon's buddies, and that's a very aggressive game. Shall

0:14:17.324 --> 0:14:20.004
<v Speaker 3>we say. I'm forbidden to reveal details, but there's a

0:14:20.004 --> 0:14:24.724
<v Speaker 3>lot of blind naked aggression there. You know. SBF is

0:14:24.844 --> 0:14:30.004
<v Speaker 3>even more unambiguously, I think irrational in taking a very

0:14:30.084 --> 0:14:33.844
<v Speaker 3>literal approach of utilitarianism, where you know, he has said

0:14:33.884 --> 0:14:37.804
<v Speaker 3>repeatedly he told his co founder Carolyn Ellison this. He

0:14:37.884 --> 0:14:40.924
<v Speaker 3>told the economist Tyler Cowan this that if he could

0:14:41.204 --> 0:14:43.724
<v Speaker 3>flip a coin to determine the fate of the world,

0:14:43.844 --> 0:14:49.084
<v Speaker 3>and either half the time the world is destroyed, but

0:14:49.404 --> 0:14:50.924
<v Speaker 3>the other half the time the world is like two

0:14:51.004 --> 0:14:54.324
<v Speaker 3>point oh one x as good, then he's calculating the

0:14:54.364 --> 0:14:57.124
<v Speaker 3>expected value. He's so committed to that that hey you

0:14:57.164 --> 0:15:01.124
<v Speaker 3>know one point five is greater than one. Therefore you

0:15:01.364 --> 0:15:03.764
<v Speaker 3>take the coin flip, even though you might destroy the world,

0:15:03.804 --> 0:15:06.164
<v Speaker 3>And in fact, you take that coin flip repeatedly, over

0:15:06.204 --> 0:15:08.444
<v Speaker 3>and over again. This is called the Saint Petersburg paradox,

0:15:08.484 --> 0:15:11.524
<v Speaker 3>where it's a bet that has infinite expected value, but

0:15:11.564 --> 0:15:14.124
<v Speaker 3>its infinitely likely to leave you ruins. So what should

0:15:14.124 --> 0:15:15.604
<v Speaker 3>you do? Probably not take the bet. It's not that

0:15:15.644 --> 0:15:19.164
<v Speaker 3>hard a dilemma, actually, but to SBF it was. And

0:15:19.204 --> 0:15:22.764
<v Speaker 3>in my interviews with him, you kind of find a

0:15:22.804 --> 0:15:24.604
<v Speaker 3>pattern of him saying, I mean the first thing who

0:15:24.604 --> 0:15:26.964
<v Speaker 3>I did with him when he's riding high January twenty

0:15:26.964 --> 0:15:29.924
<v Speaker 3>twenty two, Bitcoin still near its all time peaks. He's like,

0:15:29.964 --> 0:15:34.124
<v Speaker 3>if you're not really literally willing to ruin yourself, not

0:15:34.164 --> 0:15:36.324
<v Speaker 3>the fake ruined, Like if Elon Musk has to sell

0:15:36.324 --> 0:15:39.044
<v Speaker 3>Twitter and he's only worth one hundred and seventy billion

0:15:39.124 --> 0:15:42.444
<v Speaker 3>dollars instead of two hundred and twenty billion dollars, that's

0:15:42.604 --> 0:15:46.204
<v Speaker 3>not what it would describe as being ruined. And Sam

0:15:46.324 --> 0:15:48.284
<v Speaker 3>was very clear that I don't think you should protect

0:15:48.284 --> 0:15:51.124
<v Speaker 3>your downside. You have to be so risk loving that

0:15:51.204 --> 0:15:53.644
<v Speaker 3>you should literally be willing to destroy your life and

0:15:53.684 --> 0:15:57.324
<v Speaker 3>your reputation if it's positive expected value, which I think

0:15:57.364 --> 0:16:01.484
<v Speaker 3>is insane. I think reflects I mean, not a clinical diagnosis,

0:16:01.484 --> 0:16:05.244
<v Speaker 3>but I think literally some I think he's a somewhat

0:16:06.084 --> 0:16:11.644
<v Speaker 3>defective person emotionally in another way. And you know, the

0:16:11.724 --> 0:16:14.444
<v Speaker 3>fact that he was enabled by so many supposedly smart

0:16:14.484 --> 0:16:17.324
<v Speaker 3>actors is a core question that's asked by the book.

0:16:17.324 --> 0:16:20.564
<v Speaker 3>I mean, I you know, the New York Times review

0:16:20.964 --> 0:16:23.484
<v Speaker 3>understood this, which is that it's like the book is

0:16:23.524 --> 0:16:28.244
<v Speaker 3>actually pretty unsparing to some of these characters in the River,

0:16:28.324 --> 0:16:30.204
<v Speaker 3>even though like it's not a book where I'm gonna

0:16:30.204 --> 0:16:32.444
<v Speaker 3>be like Peter Teal is evil and Elon Musk is

0:16:32.444 --> 0:16:35.004
<v Speaker 3>evil and a fascist, Like that's not my style of writing.

0:16:35.044 --> 0:16:37.204
<v Speaker 3>And I think I think they're interesting people who deserve

0:16:37.244 --> 0:16:39.444
<v Speaker 3>to have their stories told by someone who kind of

0:16:39.484 --> 0:16:43.404
<v Speaker 3>understands the personality type. But SBF was a really dangerous

0:16:43.404 --> 0:16:46.164
<v Speaker 3>figure and on top of everything else, like also a

0:16:46.164 --> 0:16:50.204
<v Speaker 3>fairly bad calculator of risk. His decision to go take

0:16:50.204 --> 0:16:53.044
<v Speaker 3>the witness stand at his trial after the government's testimony

0:16:53.204 --> 0:16:57.604
<v Speaker 3>was just incredibly devastating, and they had him dead to

0:16:57.684 --> 0:17:01.004
<v Speaker 3>rights and contradicting everything he told people publicly, everything he

0:17:01.044 --> 0:17:03.524
<v Speaker 3>told me in interviews that were on the record, although

0:17:03.524 --> 0:17:05.204
<v Speaker 3>with an embario, I mean they couldn't be used until

0:17:05.204 --> 0:17:08.564
<v Speaker 3>the book was released. You know, the willingness to lie,

0:17:08.724 --> 0:17:12.084
<v Speaker 3>plus the constant miscalculations he made where he probably could

0:17:12.124 --> 0:17:15.044
<v Speaker 3>have avoided jail time by conceding defeat and not taking

0:17:15.044 --> 0:17:17.124
<v Speaker 3>the witness stand. Not at all the jail time, but

0:17:17.684 --> 0:17:21.484
<v Speaker 3>ten years or five years and not twenty You know,

0:17:22.244 --> 0:17:25.004
<v Speaker 3>why did so many people vouch for him? As a

0:17:25.084 --> 0:17:27.204
<v Speaker 3>question that I think has to be has to be pondered.

0:17:29.044 --> 0:17:40.964
<v Speaker 1>We'll be back after a quick break. You actually touched

0:17:41.604 --> 0:17:44.844
<v Speaker 1>on something there which I think is important to unwrap

0:17:44.884 --> 0:17:47.764
<v Speaker 1>a little bit more, which is that if you're taking

0:17:47.764 --> 0:17:51.004
<v Speaker 1>these huge gambles, you better be pretty damn sure your

0:17:51.044 --> 0:17:54.804
<v Speaker 1>calculations are accurate, that your percentages are accurate. But we're

0:17:54.804 --> 0:17:56.484
<v Speaker 1>living in a world where you can't do that, and

0:17:56.764 --> 0:18:00.084
<v Speaker 1>so I'm curious. You know, you build models, right that

0:18:01.524 --> 0:18:04.524
<v Speaker 1>try to kind of model things that are uncertain, that

0:18:04.604 --> 0:18:07.924
<v Speaker 1>are unknowable, that have this margin of error, And so

0:18:08.444 --> 0:18:11.404
<v Speaker 1>I think you understand and more than most people that

0:18:11.844 --> 0:18:14.524
<v Speaker 1>you know, if you say sixty percent certain or like

0:18:14.604 --> 0:18:17.524
<v Speaker 1>sixty percent chance of this, like you're not actually like

0:18:18.044 --> 0:18:20.044
<v Speaker 1>that there is a margin of error there, right, Like,

0:18:20.404 --> 0:18:23.964
<v Speaker 1>if you fifty one percent likely that you're going to

0:18:24.004 --> 0:18:27.324
<v Speaker 1>have a plus EV and forty nine, what if you're wrong? Right, Like,

0:18:27.404 --> 0:18:31.004
<v Speaker 1>what if it's forty nine that you're that you're actually

0:18:31.044 --> 0:18:34.484
<v Speaker 1>negative TV and fifty one that you're going to destroy civilization?

0:18:34.884 --> 0:18:37.404
<v Speaker 1>So I'm I'd love you to walk us through that

0:18:37.444 --> 0:18:40.604
<v Speaker 1>thinking and through kind of the hubris that you both

0:18:40.724 --> 0:18:42.964
<v Speaker 1>need to succeed in some ways in this area. But

0:18:43.004 --> 0:18:45.804
<v Speaker 1>also that might make you over confident of these sorts

0:18:45.804 --> 0:18:48.204
<v Speaker 1>of percentages where you really really can't afford to be.

0:18:49.004 --> 0:18:53.444
<v Speaker 3>Yeah, look, we've seen bad election models. We saw models

0:18:53.484 --> 0:18:56.684
<v Speaker 3>I gave. Yeah, saw models that gave Trump a one

0:18:56.724 --> 0:18:59.084
<v Speaker 3>percent chance or zero point one percent chance of winning

0:18:59.084 --> 0:19:01.844
<v Speaker 3>in twenty sixteen. We saw models earlier this year that

0:19:01.924 --> 0:19:04.284
<v Speaker 3>gave Biden, even after he had tanked in the debate,

0:19:04.724 --> 0:19:06.564
<v Speaker 3>a fifty to fifty chance of winning, which didn't make

0:19:06.604 --> 0:19:10.004
<v Speaker 3>any sense. Even building models for these kinds of close

0:19:10.164 --> 0:19:15.884
<v Speaker 3>problems like elections or sports forecasting is pretty tough. You

0:19:15.964 --> 0:19:17.684
<v Speaker 3>have a lot of choices to make as a modeler,

0:19:18.044 --> 0:19:23.404
<v Speaker 3>your biases might creep in and other things. So to

0:19:23.524 --> 0:19:26.564
<v Speaker 3>then kind of take these very back of the envelope

0:19:27.004 --> 0:19:30.804
<v Speaker 3>informal models and try to apply them to every problem

0:19:30.884 --> 0:19:33.964
<v Speaker 3>in the world. Is, you know, obviously prone to going

0:19:34.004 --> 0:19:37.204
<v Speaker 3>wrong to some extent, and like in effective altruism, they're

0:19:37.284 --> 0:19:41.844
<v Speaker 3>very literal about this. I talked to Will mccaskell, who

0:19:41.884 --> 0:19:43.324
<v Speaker 3>was kind of one of the founders or at least

0:19:43.364 --> 0:19:45.564
<v Speaker 3>the brand name of EA and wrote a book called

0:19:45.764 --> 0:19:48.364
<v Speaker 3>What We Owe the Future. He calls himself a long

0:19:48.444 --> 0:19:51.084
<v Speaker 3>term'speaning he's concerned about the very very very far future.

0:19:52.004 --> 0:19:53.844
<v Speaker 3>The first time to talk to him, he was like, okay,

0:19:53.924 --> 0:19:57.124
<v Speaker 3>so how do we weigh like a human's life against

0:19:57.124 --> 0:19:58.764
<v Speaker 3>an animal's life? And he's like, well, it should be

0:19:58.804 --> 0:20:02.324
<v Speaker 3>based on the number of neurons in the animal's brain,

0:20:02.484 --> 0:20:04.964
<v Speaker 3>or maybe the number of neurons to the one third

0:20:05.004 --> 0:20:08.244
<v Speaker 3>power or something like that. It's a good approximation, but

0:20:08.324 --> 0:20:11.844
<v Speaker 3>that leads to weird things like an elephant elephants. Elephants

0:20:11.844 --> 0:20:14.244
<v Speaker 3>are actually with more than human beings by that calculation,

0:20:14.764 --> 0:20:17.964
<v Speaker 3>it turns out, but you also face some comfortable decisions.

0:20:18.044 --> 0:20:20.124
<v Speaker 3>The book uses a story of a time when a

0:20:20.164 --> 0:20:22.724
<v Speaker 3>dog named I didn't know.

0:20:23.284 --> 0:20:25.884
<v Speaker 1>Yeah, I didn't realize that the poodle like I didn't

0:20:25.924 --> 0:20:27.324
<v Speaker 1>know this story, so please, yeah, please.

0:20:27.764 --> 0:20:31.084
<v Speaker 3>There's a poodle that name named Dakota that gets loose

0:20:31.124 --> 0:20:34.124
<v Speaker 3>in Prospect Park or some park in North Brooklyn from

0:20:34.164 --> 0:20:37.004
<v Speaker 3>its owner and dashes into the subways at the first

0:20:37.044 --> 0:20:41.924
<v Speaker 3>stop inbound on the F train from Manhattan to Brooklyn. So,

0:20:41.924 --> 0:20:44.244
<v Speaker 3>and this is happening at like three point thirty on

0:20:44.324 --> 0:20:46.964
<v Speaker 3>a weekday, so you're starting to get the rush hour commute.

0:20:47.004 --> 0:20:49.564
<v Speaker 3>And the question is should we shut down the entire

0:20:49.764 --> 0:20:54.284
<v Speaker 3>F line in order to search for and rescue Dakota,

0:20:54.324 --> 0:20:56.764
<v Speaker 3>which they did, and Dakota popped up at some other

0:20:56.804 --> 0:21:00.164
<v Speaker 3>subway station an hour or so later. But that's a

0:21:00.244 --> 0:21:02.004
<v Speaker 3>case where I'll put it this. This is how I

0:21:02.004 --> 0:21:04.444
<v Speaker 3>put it in the book. If you had, like a

0:21:04.524 --> 0:21:08.004
<v Speaker 3>human baby who had fallen onto the tracks, like, no

0:21:08.044 --> 0:21:12.084
<v Speaker 3>one would dispute that we should halt every train until

0:21:12.124 --> 0:21:15.404
<v Speaker 3>that baby is found. If it was a squirrel, then

0:21:15.484 --> 0:21:18.164
<v Speaker 3>we would just run under the squirrel, right, no questions.

0:21:17.764 --> 0:21:19.204
<v Speaker 1>Asked, We would we would.

0:21:19.284 --> 0:21:23.204
<v Speaker 3>I mean, I hate squirrels, and the dog is intuitively

0:21:23.284 --> 0:21:25.964
<v Speaker 3>kind of a close decision, and so and so and

0:21:26.164 --> 0:21:28.644
<v Speaker 3>but the fact is that you have to make a decision,

0:21:28.844 --> 0:21:31.324
<v Speaker 3>and we had to make these decisions in COVID, where

0:21:31.644 --> 0:21:35.324
<v Speaker 3>you know, what's the cost of the shutting down schools

0:21:35.404 --> 0:21:39.244
<v Speaker 3>versus the cost of preventing some degree of sickness and death? Right,

0:21:39.284 --> 0:21:41.284
<v Speaker 3>I mean, that's a real that's a real trade off,

0:21:41.364 --> 0:21:44.684
<v Speaker 3>or things that are more intangible. What's the cost of

0:21:45.444 --> 0:21:49.684
<v Speaker 3>the undermining people's happiness because they can't at least they're

0:21:49.724 --> 0:21:52.444
<v Speaker 3>not supposed to see their friends in person during COVID,

0:21:52.524 --> 0:21:54.164
<v Speaker 3>or they can't go to a baseball game, or go

0:21:54.204 --> 0:21:57.124
<v Speaker 3>to a restaurant, or see their dying relative in a

0:21:57.164 --> 0:21:59.484
<v Speaker 3>hospital or all, or go to church, all these other things,

0:21:59.564 --> 0:22:01.724
<v Speaker 3>like like what's the cost of that? And we make

0:22:01.764 --> 0:22:05.364
<v Speaker 3>these decisions with with you know, different heuristics and different

0:22:05.444 --> 0:22:08.564
<v Speaker 3>rules of thumb that are often very clumsy and maybe

0:22:08.844 --> 0:22:11.404
<v Speaker 3>maybe words of magnitude wrong. I think the decision to

0:22:11.444 --> 0:22:14.684
<v Speaker 3>keep school shut down after vaccines were available is like

0:22:15.644 --> 0:22:17.724
<v Speaker 3>wrong by like ten x or one hundred x, like

0:22:17.764 --> 0:22:20.684
<v Speaker 3>unambiguously a terrible decision that some Blue states made even

0:22:20.684 --> 0:22:25.084
<v Speaker 3>after vaccine availability. So you kind of get this dilemma

0:22:25.124 --> 0:22:27.284
<v Speaker 3>where you have to make you have to make decisions,

0:22:27.284 --> 0:22:29.684
<v Speaker 3>you have to make some calculation. But I think people

0:22:30.644 --> 0:22:33.844
<v Speaker 3>underestimate how back of the envelope. These are and when

0:22:33.844 --> 0:22:37.004
<v Speaker 3>you start to put numbers to things, and people sometimes

0:22:37.004 --> 0:22:40.404
<v Speaker 3>stop asking questions about models where they should ask more questions.

0:22:42.004 --> 0:22:44.204
<v Speaker 1>Is there something that you would recommend, because this is

0:22:44.244 --> 0:22:47.164
<v Speaker 1>something that I've come across, you know, many times at

0:22:47.244 --> 0:22:49.284
<v Speaker 1>a wall I hit in a lot of my research.

0:22:49.684 --> 0:22:53.164
<v Speaker 1>Is there something that you have seen in people who

0:22:53.204 --> 0:22:57.684
<v Speaker 1>are successful where they are able to modulate or at

0:22:57.764 --> 0:23:02.284
<v Speaker 1>least like self check their overconfidence and their hubris, because

0:23:02.324 --> 0:23:04.684
<v Speaker 1>it seems like most of the people on the river

0:23:05.004 --> 0:23:07.444
<v Speaker 1>don't do that, right, Like Elon Musk, absolutely not. Like

0:23:07.524 --> 0:23:11.204
<v Speaker 1>Computer Tel absolutely not. Like all of these men who

0:23:11.244 --> 0:23:14.084
<v Speaker 1>you talk about, they don't seem to have a switch

0:23:14.124 --> 0:23:15.884
<v Speaker 1>where they can be like, Okay, you know what, let

0:23:15.964 --> 0:23:18.324
<v Speaker 1>me take a step back and self evaluate. Did you

0:23:18.404 --> 0:23:22.404
<v Speaker 1>find anyone who was able to do that? And if so, how,

0:23:22.524 --> 0:23:23.524
<v Speaker 1>like how do you do that?

0:23:25.004 --> 0:23:27.444
<v Speaker 3>I mean, in some ways, some of the poker players

0:23:27.484 --> 0:23:30.124
<v Speaker 3>I talked to seem like they're more at ease with

0:23:30.244 --> 0:23:33.724
<v Speaker 3>themselves and can modulate it somehow. You know, Jason Kuhn,

0:23:33.764 --> 0:23:35.684
<v Speaker 3>for example, is an interesting poker player who has some

0:23:35.804 --> 0:23:38.484
<v Speaker 3>very you know, had a rough upbringing, has some very

0:23:38.524 --> 0:23:42.124
<v Speaker 3>aggressive tendencies. But I think has some type of perspective

0:23:42.124 --> 0:23:44.684
<v Speaker 3>of there's this very competitive part of him that he

0:23:44.764 --> 0:23:47.604
<v Speaker 3>understands can be unleashed, but has to be you know,

0:23:48.604 --> 0:23:51.524
<v Speaker 3>meet it out in doses somehow. Look, there is some

0:23:51.844 --> 0:23:54.284
<v Speaker 3>bias in the book in the following sense, which is

0:23:54.284 --> 0:23:57.444
<v Speaker 3>that the people who are quote unquote crazy or the

0:23:57.484 --> 0:23:59.724
<v Speaker 3>people who really you know, like to talk about themselves

0:23:59.724 --> 0:24:02.644
<v Speaker 3>and take crazy risks, make for better stories. So yeah,

0:24:02.644 --> 0:24:05.764
<v Speaker 3>I mean I'm thinking about like, you know, Michael Moritz

0:24:05.964 --> 0:24:10.244
<v Speaker 3>is a Sequoia capital venture capitalist who's been very successful

0:24:10.284 --> 0:24:13.684
<v Speaker 3>early investor in Google of many of other companies. He's

0:24:13.724 --> 0:24:16.084
<v Speaker 3>a guy who I think is probably pretty measured actually.

0:24:16.084 --> 0:24:20.684
<v Speaker 3>A former journalist Michael Moritz ven Knowed Kosla is another

0:24:20.724 --> 0:24:24.484
<v Speaker 3>one who invests in kind of alternative things like alternative

0:24:24.644 --> 0:24:27.964
<v Speaker 3>energy or or you know, what's it called artificial meat,

0:24:28.204 --> 0:24:29.924
<v Speaker 3>things like that. I mean, he seems to be like

0:24:30.004 --> 0:24:33.724
<v Speaker 3>reasonably well balanced. Patrick Collison, the founder of Strike. But

0:24:34.084 --> 0:24:36.524
<v Speaker 3>and these people are all in the book, but because

0:24:36.564 --> 0:24:39.844
<v Speaker 3>they're less bombastic, they maybe get like both a little

0:24:39.844 --> 0:24:41.644
<v Speaker 3>bit less of a write up from me and then

0:24:41.724 --> 0:24:45.124
<v Speaker 3>and then kind of having some lost in translation problem too.

0:24:45.164 --> 0:24:48.724
<v Speaker 3>But yeah, look, over competence is a really big problem

0:24:49.604 --> 0:24:52.244
<v Speaker 3>for people in the River because by definition, these are

0:24:52.284 --> 0:24:56.204
<v Speaker 3>people who probably won their first couple of big bets,

0:24:57.364 --> 0:25:01.164
<v Speaker 3>sometimes by skill, sometimes by luck. I'd say often more

0:25:01.244 --> 0:25:04.124
<v Speaker 3>luck than skill, but usually some of both. And when

0:25:04.164 --> 0:25:05.924
<v Speaker 3>you're on a winning streak, then you can think that

0:25:06.004 --> 0:25:08.684
<v Speaker 3>your God's gift to whatever venture that you happen to

0:25:08.724 --> 0:25:11.724
<v Speaker 3>be involved in, and you can be overconfident and that

0:25:11.764 --> 0:25:14.524
<v Speaker 3>because there is like there is like fruitful territory. I mean,

0:25:14.564 --> 0:25:16.564
<v Speaker 3>the village leaves a lot to be desired for how

0:25:16.564 --> 0:25:19.844
<v Speaker 3>it assesses risk and does other things, and so you know,

0:25:20.084 --> 0:25:22.724
<v Speaker 3>you can in some ways the critiques that these two

0:25:22.724 --> 0:25:26.284
<v Speaker 3>communities have of one another are both pretty smart. I mean,

0:25:26.284 --> 0:25:29.084
<v Speaker 3>I think the River's critique of the village that these

0:25:29.084 --> 0:25:32.844
<v Speaker 3>guys are too risk averse, that they're partisan, that they're

0:25:32.844 --> 0:25:35.484
<v Speaker 3>too concerned with social perception. I think that's basically right.

0:25:35.524 --> 0:25:39.124
<v Speaker 3>But also some of the Silicon Valley founders and vcs

0:25:39.204 --> 0:25:41.484
<v Speaker 3>are are total arrogant pricks.

0:25:42.924 --> 0:25:45.964
<v Speaker 1>Yeah, that's one way of putting it. And I think

0:25:46.044 --> 0:25:48.244
<v Speaker 1>that was something that you're that you just hinted at,

0:25:48.924 --> 0:25:52.684
<v Speaker 1>which is I think going to necessarily be like a

0:25:52.724 --> 0:25:55.084
<v Speaker 1>problem when you're trying to figure out who to interview

0:25:55.124 --> 0:25:57.644
<v Speaker 1>for the book. And it's just in this industry, well

0:25:57.684 --> 0:26:01.644
<v Speaker 1>in the world in general, is we have this survivor bias, right,

0:26:01.724 --> 0:26:05.764
<v Speaker 1>which we see the people who are successful. How are

0:26:05.764 --> 0:26:07.884
<v Speaker 1>you going to go out and interview all the people

0:26:07.884 --> 0:26:10.804
<v Speaker 1>who took these risks, who where it didn't pan out.

0:26:10.964 --> 0:26:12.684
<v Speaker 1>One of the things that really struck me as I

0:26:12.724 --> 0:26:14.924
<v Speaker 1>was reading your book was when you actually did some

0:26:15.004 --> 0:26:18.124
<v Speaker 1>of these simulations, right, and you actually wrote out what

0:26:18.164 --> 0:26:21.604
<v Speaker 1>the numbers looked like if you had different strategies, and

0:26:21.804 --> 0:26:24.164
<v Speaker 1>some of them I was like, holy shit, right, like

0:26:24.204 --> 0:26:29.004
<v Speaker 1>this crazy risky strategy, Like, yes, you die ninety five

0:26:29.044 --> 0:26:31.524
<v Speaker 1>percent of the time, but like, look at that five percent.

0:26:31.884 --> 0:26:34.724
<v Speaker 1>But that five percent is mostly who you end up interviewing, right,

0:26:34.764 --> 0:26:37.284
<v Speaker 1>because they become the elon Musks of the world. So

0:26:37.404 --> 0:26:39.444
<v Speaker 1>what does that do to kind of our perceptions of

0:26:39.484 --> 0:26:40.364
<v Speaker 1>some of these traits?

0:26:40.404 --> 0:26:40.604
<v Speaker 2>You know?

0:26:40.764 --> 0:26:43.524
<v Speaker 3>Yeah, and so look, this became a little bit easier.

0:26:44.044 --> 0:26:46.644
<v Speaker 3>I'm just speaking kind of behind the scenes as a writer.

0:26:47.444 --> 0:26:51.284
<v Speaker 3>When the SBF thing blew up, then that became easier.

0:26:51.564 --> 0:26:55.564
<v Speaker 3>There's originally going to be like a chapter on failures,

0:26:55.604 --> 0:26:58.084
<v Speaker 3>but that meant more people that like you know, want

0:26:58.084 --> 0:26:59.964
<v Speaker 3>to poke a tournament and then developed some type of

0:26:59.964 --> 0:27:02.484
<v Speaker 3>problem afterward or whatever else. But like SBF kind of

0:27:03.084 --> 0:27:05.604
<v Speaker 3>served enough of that role where great meretive wise, I

0:27:05.644 --> 0:27:07.324
<v Speaker 3>thought it was okay. I mean, there is one story

0:27:07.324 --> 0:27:11.324
<v Speaker 3>about a person named run bow Lee who was a

0:27:11.364 --> 0:27:13.124
<v Speaker 3>smart guy. You never see it Toronto.

0:27:13.204 --> 0:27:15.684
<v Speaker 1>How that was kind of a heartbreaking story. Yeah, go ahead.

0:27:15.724 --> 0:27:16.964
<v Speaker 3>And he came to me and he said, you're writing

0:27:17.004 --> 0:27:18.644
<v Speaker 3>this book about the successful people just kind of cold

0:27:18.644 --> 0:27:20.884
<v Speaker 3>emailed me, and he's like, I'm somebody who got really

0:27:20.924 --> 0:27:24.044
<v Speaker 3>burned by by day trading, by day trading options, in

0:27:24.084 --> 0:27:28.444
<v Speaker 3>particular getting into all the Wall Street Beth's kind of communities,

0:27:28.444 --> 0:27:32.004
<v Speaker 3>and he has lost a million dollars on options trading,

0:27:32.084 --> 0:27:34.924
<v Speaker 3>and he wanted to tell a story, and I'm like,

0:27:34.924 --> 0:27:36.604
<v Speaker 3>the story has to go in the book. There's also,

0:27:37.244 --> 0:27:41.684
<v Speaker 3>you know, the chapter on Las Vegas, which is chapter three,

0:27:42.124 --> 0:27:45.164
<v Speaker 3>is about how casinos, particularly through slot machines, kind of

0:27:45.164 --> 0:27:48.284
<v Speaker 3>manipulate their patrons into spending more. I mean, the stories

0:27:48.284 --> 0:27:51.684
<v Speaker 3>I heard from Natasha Sholl, who is a kind of

0:27:51.684 --> 0:27:54.564
<v Speaker 3>an amazing woman. She's a NYU ethropologist who had like

0:27:54.564 --> 0:27:56.284
<v Speaker 3>never been out of the East Coast, and she's like

0:27:56.644 --> 0:27:58.884
<v Speaker 3>Las Vegas is an exotic place. I want to study

0:27:58.924 --> 0:28:02.284
<v Speaker 3>Las Vegas as an anthropologist, did her dissertation about it,

0:28:02.324 --> 0:28:04.364
<v Speaker 3>then wrote a book about it, and that's a story

0:28:04.404 --> 0:28:08.284
<v Speaker 3>about problem gambling. And although didn't talk to that many

0:28:08.324 --> 0:28:13.644
<v Speaker 3>problem gamblers, really you know, it's very dark about slot

0:28:13.724 --> 0:28:14.244
<v Speaker 3>machine edication.

0:28:14.364 --> 0:28:17.884
<v Speaker 1>Yeah. Well, one of the things actually that really was

0:28:17.964 --> 0:28:21.164
<v Speaker 1>interesting to me there because I hadn't read Schell's book,

0:28:22.284 --> 0:28:26.244
<v Speaker 1>was this insight that you that you go into, which

0:28:26.324 --> 0:28:29.004
<v Speaker 1>is that a lot of these problem gamblers that people

0:28:29.004 --> 0:28:31.644
<v Speaker 1>who play slot machines they know they're losing and they

0:28:31.684 --> 0:28:35.364
<v Speaker 1>don't care that. They're just like they enjoy, like they

0:28:35.484 --> 0:28:38.924
<v Speaker 1>enjoy that experience even though they lose. And to me,

0:28:39.724 --> 0:28:42.284
<v Speaker 1>like that was actually an alha moment because I always

0:28:42.284 --> 0:28:44.644
<v Speaker 1>thought that at least they thought they could win, right,

0:28:44.684 --> 0:28:46.364
<v Speaker 1>But like one of the allers was that, like you

0:28:46.404 --> 0:28:48.524
<v Speaker 1>might be a winner, but you even said that some

0:28:48.564 --> 0:28:51.484
<v Speaker 1>of them don't like winning because it brings them out

0:28:51.484 --> 0:28:52.364
<v Speaker 1>of that flow stage.

0:28:52.524 --> 0:28:56.044
<v Speaker 3>Yeah, you're in some machine zone Natasha Shall calls it

0:28:56.084 --> 0:28:58.724
<v Speaker 3>the machine zone where it's just you and you're pressing

0:28:58.724 --> 0:29:01.684
<v Speaker 3>the reeles and you know, I don't have much of

0:29:01.684 --> 0:29:03.684
<v Speaker 3>a compulsion to flay slots, but I've tossed in a

0:29:03.684 --> 0:29:05.924
<v Speaker 3>few bucks here and there when you're frustrated the Innovan

0:29:05.924 --> 0:29:09.844
<v Speaker 3>Foker tournament, and some of the games are very fun

0:29:09.924 --> 0:29:12.244
<v Speaker 3>and compelling, right you got like gorillas or what's the

0:29:12.244 --> 0:29:14.364
<v Speaker 3>big one? Not garillas, but uh, Buffalo.

0:29:15.484 --> 0:29:18.444
<v Speaker 1>I've never I've never played slots in my life.

0:29:18.164 --> 0:29:19.964
<v Speaker 3>Even I'm going to force you to. I'm going to

0:29:20.044 --> 0:29:21.964
<v Speaker 3>give you money to play slots. I think, Maria, you

0:29:22.004 --> 0:29:25.244
<v Speaker 3>can no longer make that drag, which I find nitty

0:29:25.284 --> 0:29:30.404
<v Speaker 3>by the way, but but yeah, they they want to

0:29:30.444 --> 0:29:33.284
<v Speaker 3>shut out all the other distractions of the world and

0:29:33.324 --> 0:29:35.484
<v Speaker 3>just channel it into like one problem which is problem

0:29:35.644 --> 0:29:39.404
<v Speaker 3>part problem gambling, which is very different than like the

0:29:39.564 --> 0:29:44.484
<v Speaker 3>table games players. The blackjack crabs player more often fits

0:29:44.484 --> 0:29:47.244
<v Speaker 3>the stereotype of somebody who is bored because they don't

0:29:47.244 --> 0:29:49.844
<v Speaker 3>have enough risk tolerance in their life, enough risk in

0:29:49.884 --> 0:29:52.244
<v Speaker 3>their life, and so they're useless as a way, and

0:29:52.284 --> 0:29:55.444
<v Speaker 3>this but some of this is is gendered too, if

0:29:55.484 --> 0:29:57.484
<v Speaker 3>you want to go there, but like you know, men

0:29:57.604 --> 0:30:01.204
<v Speaker 3>feeling the need. If you've been enough craps, tables, craps,

0:30:01.204 --> 0:30:03.284
<v Speaker 3>I do find fun, don't play it much. If you've

0:30:03.284 --> 0:30:05.884
<v Speaker 3>been enough groups of guys at a at a craps

0:30:05.924 --> 0:30:09.644
<v Speaker 3>table where they'll encourage one another to make bets. You know,

0:30:09.644 --> 0:30:13.044
<v Speaker 3>every crafts bets negative ev. But also to play outside

0:30:13.044 --> 0:30:15.524
<v Speaker 3>their means and gamble bigger still have stories to tell.

0:30:15.564 --> 0:30:18.524
<v Speaker 3>I mean, that's you know, that's a certain type of

0:30:18.604 --> 0:30:20.284
<v Speaker 3>young man is more likely to do that kind of thing,

0:30:20.284 --> 0:30:22.884
<v Speaker 3>and it might substitute for other types of ways approve

0:30:22.924 --> 0:30:25.884
<v Speaker 3>their bravery. But like the slots machines players and then

0:30:25.924 --> 0:30:30.724
<v Speaker 3>the skill game players, the poker players, the sports betters,

0:30:30.764 --> 0:30:34.324
<v Speaker 3>the handful of advantage players, which means people who try

0:30:34.324 --> 0:30:37.964
<v Speaker 3>to count cards in blackjack, there are conditions. Please do

0:30:38.044 --> 0:30:42.164
<v Speaker 3>not try this yourself. There are conditions under witch playing.

0:30:42.324 --> 0:30:46.604
<v Speaker 3>Slot machines can be plus ev because of contingencies the

0:30:46.604 --> 0:30:49.884
<v Speaker 3>machines or bonus payouts or jackpots that becomes efficiently large.

0:30:50.284 --> 0:30:53.324
<v Speaker 3>But those are those are one percent of the gambling world.

0:30:53.364 --> 0:30:55.324
<v Speaker 3>I mean, sometimes I feel like you and I are

0:30:55.644 --> 0:31:00.884
<v Speaker 3>use you know, some of the prestige resorts, generally speaking,

0:31:00.924 --> 0:31:03.844
<v Speaker 3>the prestige resorts in Las Vegas and elsewhere have the

0:31:03.884 --> 0:31:08.884
<v Speaker 3>best poker rooms, the win that are et cetera. Resorts

0:31:08.884 --> 0:31:12.004
<v Speaker 3>world Now, Allas, you, I sometimes wonder if, like we're

0:31:12.084 --> 0:31:14.884
<v Speaker 3>used a little bit to whitewash the fact that like

0:31:15.484 --> 0:31:17.804
<v Speaker 3>ninety nine percent of people in that casino are doing

0:31:17.844 --> 0:31:19.524
<v Speaker 3>negative expected value gambling.

0:31:20.604 --> 0:31:22.004
<v Speaker 1>No, I mean that I think that's true, and I

0:31:22.084 --> 0:31:25.564
<v Speaker 1>do and I do overlook that on purpose because I

0:31:25.564 --> 0:31:29.644
<v Speaker 1>don't like paying attention to that, right, But yeah, I know,

0:31:29.924 --> 0:31:33.284
<v Speaker 1>I think you're right, And I don't want to judge

0:31:33.324 --> 0:31:36.124
<v Speaker 1>anyone for you know, playing slots or doing whatever they're doing.

0:31:36.124 --> 0:31:38.324
<v Speaker 1>But I do find it a little bit depressing when

0:31:38.364 --> 0:31:41.604
<v Speaker 1>I see people who don't have an edge and who

0:31:41.644 --> 0:31:44.644
<v Speaker 1>are just kind of pressing buttons. Yeah.

0:31:44.724 --> 0:31:48.444
<v Speaker 3>Look, I comfort myself by saying that poker, at least

0:31:48.484 --> 0:31:53.684
<v Speaker 3>I think is plus CV any utilitarian calculus for society,

0:31:53.764 --> 0:31:56.564
<v Speaker 3>just because I think it is such a unique teacher

0:31:57.164 --> 0:31:59.644
<v Speaker 3>of certain critical life skills in an environment where you

0:31:59.644 --> 0:32:02.204
<v Speaker 3>have something real at risk that like, I just I

0:32:02.244 --> 0:32:04.844
<v Speaker 3>just think that, like I just think that playing poker

0:32:04.884 --> 0:32:09.604
<v Speaker 3>makes you more adept at handling real life risky situation

0:32:09.764 --> 0:32:12.364
<v Speaker 3>a lot of the time, you know. Apart from that,

0:32:12.484 --> 0:32:15.804
<v Speaker 3>I mean, I think there's a lot in the book

0:32:15.804 --> 0:32:19.404
<v Speaker 3>about sports betting. I think there's more papers coming out

0:32:19.444 --> 0:32:23.524
<v Speaker 3>saying that sports betting increases bankruptcies, among exactly the classes

0:32:23.564 --> 0:32:25.924
<v Speaker 3>of people that you would expect, like you see oh

0:32:25.964 --> 0:32:29.524
<v Speaker 3>in uptick and bankruptcies and males age twenty to thirty nine.

0:32:29.524 --> 0:32:31.284
<v Speaker 3>I wonder what could have caused that when sports betting

0:32:31.324 --> 0:32:35.324
<v Speaker 3>went online in X and Y State. You know, look,

0:32:35.364 --> 0:32:38.644
<v Speaker 3>I think the slot machine stuff is probably quite bad

0:32:38.684 --> 0:32:42.084
<v Speaker 3>from utilitarian standpoint. I think the state lottery is actually

0:32:42.124 --> 0:32:43.444
<v Speaker 3>maybe the worst of all on a kind of a

0:32:43.444 --> 0:32:45.404
<v Speaker 3>per capita basis, where the odds are very bad for

0:32:45.444 --> 0:32:48.204
<v Speaker 3>the player and the socio economics of who plays the

0:32:48.244 --> 0:32:51.604
<v Speaker 3>state lottery are It's basically attacks on like lower class

0:32:51.604 --> 0:32:55.044
<v Speaker 3>people for the most part, so there's a lot of hypocrisy.

0:32:55.164 --> 0:32:57.604
<v Speaker 3>There are also lots of arguments about the arms race

0:32:57.684 --> 0:33:00.524
<v Speaker 3>that hey, if we don't legalize this game, then maybe

0:33:00.804 --> 0:33:02.804
<v Speaker 3>somebody else would, right. I mean, if I had my

0:33:04.404 --> 0:33:06.484
<v Speaker 3>you know, if I could perfectly calibrate it, then maybe

0:33:06.484 --> 0:33:10.364
<v Speaker 3>i'd have something where you have a casino that offers

0:33:10.404 --> 0:33:13.684
<v Speaker 3>poker and table games but not slot machines. And maybe

0:33:13.724 --> 0:33:16.084
<v Speaker 3>you have sports bedding which can be done in person

0:33:16.484 --> 0:33:19.804
<v Speaker 3>at a facility but not online, where the addiction seems

0:33:19.804 --> 0:33:22.164
<v Speaker 3>to be higher, and they have fair rules where you

0:33:22.164 --> 0:33:24.924
<v Speaker 3>don't limit winning players et cetera. And you have limits

0:33:24.964 --> 0:33:27.524
<v Speaker 3>on how much can take from Wales. Like there's a

0:33:27.564 --> 0:33:31.564
<v Speaker 3>world in which I would be I think more content with.

0:33:31.604 --> 0:33:33.444
<v Speaker 3>And again I'm not a moralistic person. The book is

0:33:33.444 --> 0:33:36.124
<v Speaker 3>not going to be scoldy, and I believe in showing

0:33:36.124 --> 0:33:38.964
<v Speaker 3>and not telling. But like, it's not like the the

0:33:39.004 --> 0:33:42.404
<v Speaker 3>gambling industry comes out looking great. It comes out looking smart.

0:33:42.444 --> 0:33:44.484
<v Speaker 3>It comes out looking like it understands how to like

0:33:45.244 --> 0:33:47.244
<v Speaker 3>model its customers out. And I would say one thing

0:33:47.284 --> 0:33:50.284
<v Speaker 3>to say encounter to this is that if you go

0:33:50.364 --> 0:33:53.684
<v Speaker 3>to the mid to high range resorts in Las Vegas,

0:33:54.644 --> 0:33:56.684
<v Speaker 3>my subjective view is that people seem to be having

0:33:56.724 --> 0:33:58.564
<v Speaker 3>a pretty good time, and Las Vegas gets a lot

0:33:58.564 --> 0:34:01.204
<v Speaker 3>of repeat business, so there's some type of win win

0:34:01.324 --> 0:34:04.044
<v Speaker 3>in that deal. But I might I might draw the

0:34:04.084 --> 0:34:06.364
<v Speaker 3>line a little bit higher than like a total freefer all,

0:34:06.364 --> 0:34:07.404
<v Speaker 3>which is kind of where we're headed.

0:34:07.444 --> 0:34:07.684
<v Speaker 2>Now.

0:34:09.444 --> 0:34:15.724
<v Speaker 3>We'll be back in just a minute.

0:34:26.764 --> 0:34:29.644
<v Speaker 1>I have a few questions, But first I'm just curious

0:34:29.764 --> 0:34:34.004
<v Speaker 1>are you still doing sports betting? So I loved that

0:34:34.044 --> 0:34:36.044
<v Speaker 1>you picked it up in a serious way for the book,

0:34:36.084 --> 0:34:38.404
<v Speaker 1>although holy shit, I had no idea that you'd wagered

0:34:38.444 --> 0:34:43.004
<v Speaker 1>over a million dollars for your research, Nate, I didn't know,

0:34:45.044 --> 0:34:48.364
<v Speaker 1>but yeah, tell us about that, and tell us what

0:34:48.404 --> 0:34:49.324
<v Speaker 1>you're doing right now.

0:34:49.804 --> 0:34:52.444
<v Speaker 3>So I wanted to have skin in the game, to

0:34:52.444 --> 0:34:54.964
<v Speaker 3>borrow another author's phrase and see what it's actually like

0:34:54.964 --> 0:34:57.524
<v Speaker 3>when you're going through the grind of sports betting an

0:34:57.604 --> 0:35:00.364
<v Speaker 3>NBA season. So I bet almost the entirety of the

0:35:00.364 --> 0:35:03.124
<v Speaker 3>twenty twenty two twenty three NBA season, all the regular season,

0:35:03.204 --> 0:35:05.604
<v Speaker 3>in about half the playoffs, and then five thirty eight

0:35:06.124 --> 0:35:07.764
<v Speaker 3>blew up, and so I had other things to do,

0:35:07.804 --> 0:35:11.004
<v Speaker 3>and I didn't bet the end of the playoffs, and

0:35:11.044 --> 0:35:12.764
<v Speaker 3>I learned that, I mean, it's probably what I should

0:35:12.764 --> 0:35:16.044
<v Speaker 3>have expected by I learned that it's pretty hard. I

0:35:16.164 --> 0:35:18.804
<v Speaker 3>went on a huge heater at the start of the

0:35:18.884 --> 0:35:21.364
<v Speaker 3>NBA season where I was up like seventy thousand bucks.

0:35:21.364 --> 0:35:25.084
<v Speaker 3>I'm like, man, I'm really fucking good at the sports

0:35:25.084 --> 0:35:27.924
<v Speaker 3>betting stuff. But then things change. One thing that changed

0:35:27.964 --> 0:35:30.364
<v Speaker 3>is you start to get limited by some of the sites,

0:35:30.604 --> 0:35:32.884
<v Speaker 3>especially if you're trying to do things like, oh, I

0:35:32.924 --> 0:35:35.684
<v Speaker 3>just suck. Because I'm a Twitter addict, I follow a

0:35:35.684 --> 0:35:36.724
<v Speaker 3>lot of NBA writers.

0:35:36.804 --> 0:35:37.004
<v Speaker 1>Oh.

0:35:37.484 --> 0:35:41.204
<v Speaker 3>Damian Lillard of the Portland Trailblazers is injured today, but

0:35:41.324 --> 0:35:43.964
<v Speaker 3>the line at sportsbook X does not yet account for that.

0:35:44.444 --> 0:35:46.444
<v Speaker 3>So let me go and bet three thousand dollars on

0:35:46.444 --> 0:35:49.044
<v Speaker 3>this bet, which is now hugely positive. Ev you can

0:35:49.084 --> 0:35:51.684
<v Speaker 3>do it the first time, maybe the second time. The

0:35:51.724 --> 0:35:54.684
<v Speaker 3>third time, your hands are cut off basically kind of literally.

0:35:55.804 --> 0:35:58.044
<v Speaker 3>So when you aren't able to take advantage of things

0:35:58.084 --> 0:36:00.084
<v Speaker 3>that you know in principle, I think you should be.

0:36:00.124 --> 0:36:01.924
<v Speaker 3>I mean, if they're posting a line, they're taking action

0:36:02.044 --> 0:36:05.004
<v Speaker 3>on it. And the fact that, like in the NBA

0:36:05.204 --> 0:36:08.324
<v Speaker 3>regular season, it's all about is this player injured? Who

0:36:08.364 --> 0:36:11.284
<v Speaker 3>is trying to actually win and who's not. The models

0:36:11.324 --> 0:36:13.244
<v Speaker 3>that you have at the start of the season don't

0:36:13.284 --> 0:36:14.644
<v Speaker 3>work as well when you're kind of in this like

0:36:14.724 --> 0:36:17.324
<v Speaker 3>triage phase of the of the trenches of the NBA

0:36:17.404 --> 0:36:20.084
<v Speaker 3>regular season, and you know, and you talk to other

0:36:20.084 --> 0:36:22.564
<v Speaker 3>bears like, yeah, I have three guys whose entire job

0:36:22.604 --> 0:36:25.044
<v Speaker 3>Spanky kiro Lois is a guy who we interview in

0:36:25.044 --> 0:36:27.884
<v Speaker 3>the book. I have three guys who just track injury

0:36:27.964 --> 0:36:29.604
<v Speaker 3>data for me. I mean, while I'm trying to like

0:36:29.644 --> 0:36:31.604
<v Speaker 3>do some Twitter search for is this player in the

0:36:31.644 --> 0:36:36.724
<v Speaker 3>warm up? You know you're competing essentially against the best players,

0:36:36.884 --> 0:36:40.604
<v Speaker 3>the best betters in the world. So I love that

0:36:41.284 --> 0:36:43.284
<v Speaker 3>one point eight million dollars in bets and believe this

0:36:43.404 --> 0:36:46.524
<v Speaker 3>is just like on average the bet size is like

0:36:46.564 --> 0:36:49.524
<v Speaker 3>twelve hundred bucks, you're making fifteen hundred twelve hundred dollars

0:36:49.524 --> 0:36:52.364
<v Speaker 3>bets or whatever. Over the course of the season, I

0:36:52.444 --> 0:36:55.844
<v Speaker 3>made about five thousand bucks, probably spent about five thousand

0:36:55.924 --> 0:36:58.564
<v Speaker 3>hours on this, so I made less than minimum wage

0:36:58.604 --> 0:37:01.964
<v Speaker 3>actually with my with my sports betting side hustle.

0:37:03.524 --> 0:37:06.044
<v Speaker 1>I love it. I love it. So I want to

0:37:06.084 --> 0:37:10.164
<v Speaker 1>ask two more things before we wrap up. The first

0:37:10.244 --> 0:37:12.764
<v Speaker 1>is kind of a theme that I and I think

0:37:12.804 --> 0:37:15.444
<v Speaker 1>I picked up on this because you know, it's something

0:37:15.484 --> 0:37:19.484
<v Speaker 1>that I've obviously thought about a lot a lot, And

0:37:19.644 --> 0:37:24.164
<v Speaker 1>it's the strand that is woven throughout the book, which

0:37:24.244 --> 0:37:27.604
<v Speaker 1>is that even though the book is about skill, about

0:37:27.644 --> 0:37:32.004
<v Speaker 1>finding edges, about how to make plus ev gambles, there

0:37:32.084 --> 0:37:34.644
<v Speaker 1>is this thread throughout it of luck, right and of

0:37:34.644 --> 0:37:37.884
<v Speaker 1>the fact that you also do need to get lucky,

0:37:38.204 --> 0:37:41.044
<v Speaker 1>and you actually you point to a lot of these

0:37:41.124 --> 0:37:44.524
<v Speaker 1>moments where things could have turned out so differently, like,

0:37:44.564 --> 0:37:47.404
<v Speaker 1>you know, to pick a random example, the car crash

0:37:47.524 --> 0:37:50.404
<v Speaker 1>that Peter Tila and Elon Musk were in right, like

0:37:50.684 --> 0:37:54.404
<v Speaker 1>what happens if the car lands differently? And I don't

0:37:54.604 --> 0:37:56.644
<v Speaker 1>know if you want to talk about that specific example,

0:37:56.884 --> 0:38:00.004
<v Speaker 1>but this is something that you're clearly very aware of,

0:38:00.084 --> 0:38:02.244
<v Speaker 1>and I just want to raise it and talk about

0:38:02.244 --> 0:38:02.844
<v Speaker 1>it a little bit.

0:38:03.564 --> 0:38:08.164
<v Speaker 3>Yeah, there is a survivorship bias problem when you're writing

0:38:08.164 --> 0:38:12.084
<v Speaker 3>a book about successful people, and literally kind of in

0:38:12.084 --> 0:38:14.124
<v Speaker 3>the case of Elon Musk and Peter Teal, Elon had

0:38:14.124 --> 0:38:17.204
<v Speaker 3>sold his first company, bought like a million dollar McLaren

0:38:17.684 --> 0:38:20.044
<v Speaker 3>F one or something sports car basically almost like a

0:38:20.364 --> 0:38:23.844
<v Speaker 3>you know, Formula one caliber car, and they're driving it

0:38:23.884 --> 0:38:26.524
<v Speaker 3>on I think sand Hill Road or somewhere in Palo Alto,

0:38:27.684 --> 0:38:30.564
<v Speaker 3>and Elon floor is the accelebrator while trying to change lanes,

0:38:30.924 --> 0:38:33.524
<v Speaker 3>and it kind of spirals up into like doing a

0:38:33.524 --> 0:38:37.404
<v Speaker 3>little helicopter motion and miraculously lands on its wheels, and

0:38:38.404 --> 0:38:42.764
<v Speaker 3>Elon and Peter are are okay, and actually hitchhikes their

0:38:42.804 --> 0:38:46.884
<v Speaker 3>VC meeting, And I guess keep PayPal alive by with

0:38:46.964 --> 0:38:51.804
<v Speaker 3>that hitchhike. But so I asked Peter Teal, you know,

0:38:51.924 --> 0:38:54.404
<v Speaker 3>I asked him in a way that was nerdier. I

0:38:54.404 --> 0:38:56.564
<v Speaker 3>asked him if you ran the world a thousand times,

0:38:56.924 --> 0:38:59.724
<v Speaker 3>had a thousand simulations, then how often would you wind

0:38:59.804 --> 0:39:02.284
<v Speaker 3>up in this position? And he objected to this question

0:39:02.324 --> 0:39:04.804
<v Speaker 3>and went on the whole thing about determinism or probablism,

0:39:04.804 --> 0:39:07.084
<v Speaker 3>which is interesting, but we don't have time for today,

0:39:07.124 --> 0:39:10.044
<v Speaker 3>I don't think. But yeah, life is very contingent. We've

0:39:10.044 --> 0:39:13.604
<v Speaker 3>talked on the show about the assassination attempt against President

0:39:13.644 --> 0:39:15.844
<v Speaker 3>Trump where that was a very close call, or things

0:39:15.924 --> 0:39:19.124
<v Speaker 3>like the butterfly ballot in the two thousand election, which

0:39:19.164 --> 0:39:21.964
<v Speaker 3>is in one ballot in one county in Florida in

0:39:22.084 --> 0:39:24.924
<v Speaker 3>two thousand, the ballot had a funky design where some

0:39:24.964 --> 0:39:27.324
<v Speaker 3>people who would have wanted to vote for Al Gore

0:39:27.404 --> 0:39:29.684
<v Speaker 3>wound up voting for Pat Buchanan instead, and that was

0:39:29.804 --> 0:39:32.044
<v Speaker 3>enough to cost or the election. On top of the

0:39:32.084 --> 0:39:34.684
<v Speaker 3>recount stuff in Florida wouldn't have mattered if this ballot

0:39:34.724 --> 0:39:38.644
<v Speaker 3>design had been better. So life is. Whether it's literally

0:39:38.644 --> 0:39:41.564
<v Speaker 3>metaphysically random or not is a philosophical question, But it's

0:39:42.044 --> 0:39:44.084
<v Speaker 3>random to our ability to determine it in a lot

0:39:44.084 --> 0:39:49.044
<v Speaker 3>of ways. And it's just it's just very hard to

0:39:49.204 --> 0:39:52.324
<v Speaker 3>acknowledge the role that luck plays in your life. It's

0:39:52.444 --> 0:39:55.244
<v Speaker 3>very hard, even for me or for you. Maybe you're

0:39:55.524 --> 0:39:59.124
<v Speaker 3>the exception, Maria, it's very hard not to tell yourself

0:39:59.124 --> 0:40:02.644
<v Speaker 3>a clever narrative in which in which you know, even

0:40:02.724 --> 0:40:06.524
<v Speaker 3>in writing the book I have, I think I've gotten

0:40:06.644 --> 0:40:09.204
<v Speaker 3>very lucky with a lot of things to kind of

0:40:09.204 --> 0:40:12.764
<v Speaker 3>have like this SBF story, like fall into My Lap,

0:40:12.804 --> 0:40:15.244
<v Speaker 3>for example, was I think pretty lucky. And having a

0:40:15.244 --> 0:40:17.684
<v Speaker 3>book that covered territory like AI that kind of became

0:40:17.724 --> 0:40:20.164
<v Speaker 3>a much bigger deal, and sports betting really blew up.

0:40:20.244 --> 0:40:22.364
<v Speaker 3>I mean, you know, so I think I've gotten very

0:40:22.444 --> 0:40:23.964
<v Speaker 3>lucky in a lot of things recently, the way that like,

0:40:24.204 --> 0:40:26.644
<v Speaker 3>you know, I didn't know that actually having this independent

0:40:26.684 --> 0:40:30.004
<v Speaker 3>newsletter is actually actually much better economically than being working

0:40:30.044 --> 0:40:31.444
<v Speaker 3>for a big company. I didn't know that, And I

0:40:31.444 --> 0:40:33.964
<v Speaker 3>could easily have taken a deal with another big company

0:40:34.004 --> 0:40:35.564
<v Speaker 3>and wound up worse off for it, and a lot

0:40:35.564 --> 0:40:37.644
<v Speaker 3>of respects, and so, you know, I know the role

0:40:37.684 --> 0:40:40.764
<v Speaker 3>that luck has played in my life, including just things

0:40:40.844 --> 0:40:44.764
<v Speaker 3>like being basically healthy and having a supportive partner and

0:40:44.764 --> 0:40:47.844
<v Speaker 3>supportive friends, and being born into a country where it's

0:40:47.884 --> 0:40:49.684
<v Speaker 3>okay to be a gay man, and a country where

0:40:50.524 --> 0:40:52.604
<v Speaker 3>where you have some downside protection. I mean, those are

0:40:52.604 --> 0:40:55.644
<v Speaker 3>all things that are very lucky. So you know, the

0:40:55.644 --> 0:40:59.124
<v Speaker 3>next time that I take a cooler in poker or

0:40:59.204 --> 0:41:01.684
<v Speaker 3>blue set of or set or something, then I can't

0:41:01.684 --> 0:41:02.484
<v Speaker 3>complain too much.

0:41:03.884 --> 0:41:06.004
<v Speaker 1>Well, I had more questions, but that seems like such

0:41:06.044 --> 0:41:09.604
<v Speaker 1>a beautiful place to end that I think I have

0:41:09.684 --> 0:41:14.364
<v Speaker 1>to not ask my remaining question. But yeah, I mean,

0:41:14.804 --> 0:41:17.644
<v Speaker 1>obviously this is something I've thought about a lot and

0:41:17.964 --> 0:41:20.284
<v Speaker 1>was kind of the big theme of the Biggest Bluff.

0:41:20.324 --> 0:41:23.804
<v Speaker 1>But it's nice to see that you know that this

0:41:23.924 --> 0:41:26.604
<v Speaker 1>is something that you're thinking about as well, because I

0:41:26.644 --> 0:41:30.364
<v Speaker 1>do think that it's easy for us to get over confident,

0:41:30.444 --> 0:41:33.004
<v Speaker 1>and I think that as we you know, during risky

0:41:33.044 --> 0:41:36.764
<v Speaker 1>business and all of these endeavors, we do want to

0:41:36.804 --> 0:41:39.684
<v Speaker 1>maximize our skill, but we do need to always remember

0:41:39.724 --> 0:41:41.804
<v Speaker 1>that we're we are insanely lucky to even be in

0:41:41.844 --> 0:41:45.804
<v Speaker 1>this position. So Nate, I hope that you get continue

0:41:45.844 --> 0:41:49.084
<v Speaker 1>to get lucky, and that this book sells an insane

0:41:49.164 --> 0:41:53.444
<v Speaker 1>number of copies and that it does incredibly well, and

0:41:53.484 --> 0:41:55.844
<v Speaker 1>that you and I can continue making this show together

0:41:55.964 --> 0:42:00.404
<v Speaker 1>because we're both continuing to be lucky and yet take

0:42:00.484 --> 0:42:02.884
<v Speaker 1>plus evy edges whenever we can.

0:42:03.924 --> 0:42:06.004
<v Speaker 3>Thank you so much, Maria, and you know, maybe if

0:42:06.004 --> 0:42:07.644
<v Speaker 3>you want to have you on the show again sometime.

0:42:08.364 --> 0:42:10.964
<v Speaker 3>You know, of fun, we have a good chemistry.

0:42:10.604 --> 0:42:14.124
<v Speaker 1>I think, I agree, I agree. So yeah, you're you're

0:42:14.164 --> 0:42:15.924
<v Speaker 1>welcome back. How's next week looking for you?

0:42:16.284 --> 0:42:18.244
<v Speaker 3>Actually really fucking busy, but we'll make it work.

0:42:30.244 --> 0:42:32.044
<v Speaker 1>Let us know what you think of the show. Reach

0:42:32.084 --> 0:42:35.844
<v Speaker 1>out to us at Risky Business at pushkin dot fm.

0:42:36.004 --> 0:42:39.084
<v Speaker 1>Risky Business is hosted by me Maria Kanakova.

0:42:38.804 --> 0:42:41.564
<v Speaker 3>And by me Nate Silver. The show was a cool

0:42:41.564 --> 0:42:45.524
<v Speaker 3>production of Pushing Industries and iHeartMedia. This episode was produced

0:42:45.564 --> 0:42:49.924
<v Speaker 3>by Isaac Carter. Our associate producer is Sonya gerwit Lydia,

0:42:50.004 --> 0:42:52.884
<v Speaker 3>Jean Kott and Daphne Chen are our editors, and our

0:42:52.924 --> 0:42:56.764
<v Speaker 3>executive producer is Jacob Goldstein. Mixing by Sarah Bruger.

0:42:57.324 --> 0:42:59.564
<v Speaker 1>If you like the show, please rate and review us

0:42:59.564 --> 0:43:02.244
<v Speaker 1>so other people can find us too, But once again,

0:43:02.364 --> 0:43:04.164
<v Speaker 1>only if you like us. We don't want those bad

0:43:04.204 --> 0:43:06.444
<v Speaker 1>reviews out there. Thanks for tuning in.

0:43:10.084 --> 0:43:11.684
<v Speaker 2>From the call.

0:43:12.044 --> 0:43:12.084
<v Speaker 1>W