WEBVTT - Lessons from The River (Maria Interviews Nate About His Book)

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<v Speaker 1>Pushkin. Welcome back to Risky Business, a show about making

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<v Speaker 1>better decisions. I'm Maria Kanakova.

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<v Speaker 2>And I'm Nate Silver.

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<v Speaker 1>So today Nate and I are going to be doing

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<v Speaker 1>something slightly different. Today is Tuesday, as always, which is

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<v Speaker 1>when we tape August thirteenth, which is a really important

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<v Speaker 1>date because it's the day that Nate's book comes out.

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<v Speaker 1>So today, instead of being co hosts, I am going

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<v Speaker 1>to get in the interviewer's seat and put Nate in

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<v Speaker 1>the hot seat where I get to ask him also

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<v Speaker 1>some really hard questions about his book. How does that sound?

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<v Speaker 3>N I have to be on your podcast, Maria. I'm

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<v Speaker 3>glad that Nate guy is off this week.

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<v Speaker 2>He's a fucking jerk.

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<v Speaker 1>I really enjoyed reading On the Edge, which is out today.

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<v Speaker 1>So by the time that everyone is listening, I hope

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<v Speaker 1>you've already bought a copy, but if not, go ahead

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<v Speaker 1>and buy it right now. So first of all, Nate, congratulations.

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<v Speaker 1>I know that this was a long time coming labor

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<v Speaker 1>of many many years.

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<v Speaker 2>Yeah.

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<v Speaker 3>No, I spent basically three years of my life where

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<v Speaker 3>I'd say this is my main professional focus talk to

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<v Speaker 3>two hundred people, and I know I just I would

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<v Speaker 3>recommend email really smart people and ask to have a

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<v Speaker 3>conversation with them and pretend it's for a book, and

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<v Speaker 3>then don't write the book. That's probably still worth it

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<v Speaker 3>in some sense. But no, I actually went ahead and

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<v Speaker 3>wrote the.

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<v Speaker 1>Book, and we're very glad you did. So I'm going

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<v Speaker 1>to start with Nate. In the book, you make this

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<v Speaker 1>distinction between two communities. You have the village and you

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<v Speaker 1>have 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. Village

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<v Speaker 3>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.

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<v Speaker 2>By contrast, the river is kind.

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<v Speaker 3>Of the world that I suppose I inhabit, or I imagine

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<v Speaker 3>myself inhabiting. It's the world of calculator risk taking, where

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<v Speaker 3>people are some combination of being very analytical and extremely

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<v Speaker 3>wildly competitive. So like poker is an archetypal maybe the

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<v Speaker 3>archetypal river activity. But as I discovered this world in

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<v Speaker 3>the book, you know, I found that the venture capitalist

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<v Speaker 3>and the effective altruists, and the hedge fund people and

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<v Speaker 3>the sports betters, even the crypto people, they all have

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<v Speaker 3>a common vocabulary. They all talk about things in roughly

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<v Speaker 3>the same ways, and so it's like it's not a place,

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<v Speaker 3>it's a discrete community. I mean, in Las Vegas and

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<v Speaker 3>Silicon Valley you might get closer to an actual network,

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<v Speaker 3>but like they're just these people that I think are

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<v Speaker 3>often poorly understood by the mainstream media and yet are

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<v Speaker 3>incredibly wealthy and powerful. Many of the richest people in

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<v Speaker 3>the world have some of these river tendencies, and like,

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<v Speaker 3>surprisingly to me, would take my emails and my phone

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<v Speaker 3>calls because they kind of recognize like a fellow traveler

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<v Speaker 3>a little bit. And then what I discovered is that

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<v Speaker 3>the kind of conceit of the proposal that actually there's

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<v Speaker 3>a commonalities in how people think was more literally true

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<v Speaker 3>than I had thought, and that there's more literal crossover

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<v Speaker 3>poker players who become effective altruists or hedge funders who

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<v Speaker 3>host poker games, or venture capitalists who do sports betting

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<v Speaker 3>is a metaphor for some of these things. So it's

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<v Speaker 3>a real place of a real group of people that

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<v Speaker 3>I think, Maria are in our circles, maybe not the

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<v Speaker 3>only circles to run in, but certainly one common type.

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<v Speaker 3>And I felt like I had the opportunity tell a

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<v Speaker 3>really good story about these people.

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<v Speaker 2>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 particularly Sam

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<v Speaker 3>Bakman Free who had talked to first before the collapse

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<v Speaker 3>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 fund world in Silicon Valley, you go

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<v Speaker 1>into 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, Wait, did you on purpose, like did you

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<v Speaker 1>try 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>like is interesting to me. And when you're talking about

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<v Speaker 1>risk takers, people often assume men, and so I was

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<v Speaker 1>very curious if that was a deliberate choice or if

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<v Speaker 1>it just so happens that these most interesting stories happened

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<v Speaker 1>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 a world that is Poker's

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<v Speaker 3>a little bit more diverse, but the rest of the

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<v Speaker 3>river 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 fifty to fifty. But like,

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<v Speaker 3>but also the I call them characters, the people I

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<v Speaker 3>talked to, like Catharine Sullivan, this astronaut's amazing and she

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<v Speaker 3>has an amazing stories and she was studying like oceanography

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<v Speaker 3>in Nova Scotia and beat out like ten thousand other people.

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<v Speaker 3>I'm an astronaut and mean, it's an amazing story. Cataline Carico,

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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, but no, I've 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>come 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 tackled

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<v Speaker 3>There's one section in the poker chapter about why aren't

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<v Speaker 3>there more women in poker? And then one section in

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<v Speaker 3>the VC chapter about why are there so few black

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<v Speaker 3>and Hispanic and women founders? And so you have to

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<v Speaker 3>take it on directly without it being awoke 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>x payout, that's an extraordinarily good bet. And if you

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<v Speaker 3>can make a lot of those bets 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.

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<v Speaker 2>And maybe make a lot of money.

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<v Speaker 3>And it also applies to things like evaluating nuclear war

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<v Speaker 3>risk or AI risk, things that might be you know,

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<v Speaker 3>a two percent chance in over some time frame or

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<v Speaker 3>five percent chance whatever else, but have like very bad

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<v Speaker 3>to infinitely bad negative payouts. The second thing that Silicon

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<v Speaker 3>Valley knows is that having a longer time horizon is

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<v Speaker 3>really worth it. We're a country that likes to make money,

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<v Speaker 3>but we're a get rich quick country and not a

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<v Speaker 3>get rich slowly country. When you're investing in startups, early

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<v Speaker 3>stage startups, they often have a time horizon. You know,

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<v Speaker 3>SpaceX took thirteen years I think to make a first

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<v Speaker 3>profit nine years would actually even launched a rocket successfully

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<v Speaker 3>or something like that. So I think you almost always

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<v Speaker 3>benefit from having like a longer time horizon than other people.

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<v Speaker 3>People just discount the long term future way too much,

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<v Speaker 3>even in their personal lives, I think, And so therefore

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<v Speaker 3>those I think are kind of the two foremost lessons

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<v Speaker 3>and why the book is you know, kind of ambivalently

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<v Speaker 3>to positive on that Silicon Valley ethos, even though the

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<v Speaker 3>individual characters 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 also like, how do you balance

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<v Speaker 1>that and how might that be 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 ev opportunities. So to

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<v Speaker 3>some extent, this is related to the idea of opportunit 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 to 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 connoment 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 poker player. Of course, she site studies

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<v Speaker 3>like by Steve Levitt fre Economics that when they have

0:12:12.244 --> 0:12:14.804
<v Speaker 3>people flip a coin to make a decision, and a

0:12:14.804 --> 0:12:17.204
<v Speaker 3>major decision, not like am I getting Thai food or

0:12:17.204 --> 0:12:18.804
<v Speaker 3>Indian for dinner tonight, which I do flip a coin

0:12:18.844 --> 0:12:21.324
<v Speaker 3>about sometimes, by the way, but things like should I

0:12:21.404 --> 0:12:23.724
<v Speaker 3>leave my partner, or should I quit my job, or

0:12:23.764 --> 0:12:26.084
<v Speaker 3>should I move across the country to a different part

0:12:26.124 --> 0:12:28.684
<v Speaker 3>of the world. People are happier on average when they

0:12:28.684 --> 0:12:31.804
<v Speaker 3>make a change, and so you know, the ninety percent

0:12:31.844 --> 0:12:34.244
<v Speaker 3>of people who are risk averse maybe could take some

0:12:34.244 --> 0:12:36.284
<v Speaker 3>messages from that book then, but you also meet the

0:12:36.324 --> 0:12:38.044
<v Speaker 3>sbfs and the Elon Musks of the world.

0:12:39.964 --> 0:12:44.164
<v Speaker 1>And let's actually unwrap that last bit a little bit.

0:12:44.244 --> 0:12:48.604
<v Speaker 1>The Sbfs and the Elon Musks because you write about

0:12:49.324 --> 0:12:53.604
<v Speaker 1>the fact that you know, obviously they are people. Wouldn't

0:12:54.404 --> 0:12:57.564
<v Speaker 1>people don't necessarily lump them together, right, because Elon Musk

0:12:57.644 --> 0:13:00.844
<v Speaker 1>is someone who is richest man in the world, and

0:13:00.884 --> 0:13:04.044
<v Speaker 1>then SBF is going to jail. However, they do have

0:13:04.084 --> 0:13:07.444
<v Speaker 1>this one characteristic in common, so I would I would

0:13:07.444 --> 0:13:08.764
<v Speaker 1>love for you to expand on that alone.

0:13:08.804 --> 0:13:10.804
<v Speaker 3>Yeah, and I should be I mean, I don't mean

0:13:10.844 --> 0:13:13.884
<v Speaker 3>to I am very and the book is very.

0:13:13.804 --> 0:13:15.844
<v Speaker 2>Unsympathetic to SBF.

0:13:16.644 --> 0:13:18.724
<v Speaker 3>I'm not saying I'm sympathetic to Elon, but Elon has

0:13:18.764 --> 0:13:20.804
<v Speaker 3>accomplished a lot of things, and I think Elon's a

0:13:21.604 --> 0:13:24.724
<v Speaker 3>real person whose career wasn't based on I mean, I

0:13:24.724 --> 0:13:27.004
<v Speaker 3>don't think Sam'shull career was based on fraud, but he didn't,

0:13:27.004 --> 0:13:30.004
<v Speaker 3>you know, Elon has not committed ten billion dollars worth

0:13:30.044 --> 0:13:34.084
<v Speaker 3>of stealing people's crypto deposits. Basically, Yeah, they are the

0:13:34.164 --> 0:13:38.604
<v Speaker 3>two people that really, really, really go balls to the wall.

0:13:38.684 --> 0:13:40.324
<v Speaker 3>I think we can use that phrase in terms of risk.

0:13:40.444 --> 0:13:40.924
<v Speaker 2>Absolutely.

0:13:41.804 --> 0:13:44.244
<v Speaker 3>If you read the Walter Isaacson book on Elon Musk,

0:13:44.524 --> 0:13:47.804
<v Speaker 3>his poker strategy is literally going all in every hand

0:13:47.884 --> 0:13:49.884
<v Speaker 3>until he runs out of money or wins it all.

0:13:49.924 --> 0:13:51.884
<v Speaker 1>I didn't know that that was crazy to me.

0:13:52.764 --> 0:13:56.244
<v Speaker 3>It makes sense, so I've I've played in the all

0:13:56.284 --> 0:13:58.764
<v Speaker 3>in podcast poker game a couple of times with some

0:13:58.844 --> 0:14:02.764
<v Speaker 3>of Elon's buddies, and that's a very aggressive game, shall

0:14:02.804 --> 0:14:05.444
<v Speaker 3>we say. I'm forbidden to reveal details, but there's a

0:14:05.444 --> 0:14:11.084
<v Speaker 3>lot of blind, naked aggression there. You knowf is even

0:14:11.684 --> 0:14:15.964
<v Speaker 3>more unambiguously I think irrational in taking a very literal

0:14:16.524 --> 0:14:19.844
<v Speaker 3>approach of utilitarianism, where you know, he has said repeatedly

0:14:19.924 --> 0:14:23.644
<v Speaker 3>he told his co founder Carolyn Ellison this. He told

0:14:24.364 --> 0:14:26.964
<v Speaker 3>the economist Tyler Cowan this that if he could flip

0:14:27.004 --> 0:14:29.404
<v Speaker 3>a coin to determine the fate of the world, and

0:14:29.524 --> 0:14:34.964
<v Speaker 3>either half the time the world is destroyed, but the

0:14:35.004 --> 0:14:36.404
<v Speaker 3>other half the time in the world is like two

0:14:36.444 --> 0:14:39.804
<v Speaker 3>point oh one x as good, then he's calculating the

0:14:39.844 --> 0:14:42.724
<v Speaker 3>expected value. He's so committed to that that, hey, you know,

0:14:42.804 --> 0:14:47.084
<v Speaker 3>one point five is greater than one. Therefore you take

0:14:47.244 --> 0:14:49.244
<v Speaker 3>the coin flip, even though you might destroy the world,

0:14:49.284 --> 0:14:51.644
<v Speaker 3>and in fact, you take that coin flip repeatedly, over

0:14:51.684 --> 0:14:53.924
<v Speaker 3>and over again. This is called the Saint Petersburg paradox,

0:14:53.964 --> 0:14:57.004
<v Speaker 3>where it's a bet that has infinite expected value, but

0:14:57.044 --> 0:14:58.644
<v Speaker 3>it is infinitely likely to leave you ruins.

0:14:58.684 --> 0:15:00.724
<v Speaker 2>So what should you do? Probably not take the bet.

0:15:00.724 --> 0:15:03.844
<v Speaker 2>It's not that hard a dilemma, actually, but to SBF

0:15:03.884 --> 0:15:04.284
<v Speaker 2>it was.

0:15:04.444 --> 0:15:08.124
<v Speaker 3>And in my interviews with him, you kind of find

0:15:08.164 --> 0:15:09.964
<v Speaker 3>a pattern of him saying, I mean, the first thing

0:15:09.964 --> 0:15:12.164
<v Speaker 3>that I did with him, when he's riding high January

0:15:12.204 --> 0:15:14.724
<v Speaker 3>twenty twenty two, Bitcoin still near its all time peaks,

0:15:15.084 --> 0:15:15.684
<v Speaker 3>He's like, if.

0:15:15.604 --> 0:15:18.844
<v Speaker 2>You're not really literally willing to ruin.

0:15:18.604 --> 0:15:21.444
<v Speaker 3>Yourself, not the fake ruined, Like if Elon Musk has

0:15:21.484 --> 0:15:23.964
<v Speaker 3>to sell Twitter and he's only worth one hundred and

0:15:23.964 --> 0:15:26.724
<v Speaker 3>seventy billion dollars instead of two hundred and twenty billion dollars,

0:15:27.604 --> 0:15:31.364
<v Speaker 3>that's not what it would describe as being ruined. And

0:15:31.444 --> 0:15:33.484
<v Speaker 3>Sam was very clear that I don't think you should

0:15:33.484 --> 0:15:36.084
<v Speaker 3>protect your downside. You have to be so risk loving

0:15:36.444 --> 0:15:38.764
<v Speaker 3>that you should literally be willing to like destroy your

0:15:38.844 --> 0:15:42.364
<v Speaker 3>life and your reputation if it's positive expected value, which

0:15:42.484 --> 0:15:45.484
<v Speaker 3>I think is insane. I think reflects I mean not

0:15:45.564 --> 0:15:49.604
<v Speaker 3>a clinical diagnosis, but I think literally some I think

0:15:49.644 --> 0:15:55.124
<v Speaker 3>he's a somewhat defective person emotionally in other ways. And

0:15:56.684 --> 0:15:58.644
<v Speaker 3>you know, the fact that he was enabled by so

0:15:58.724 --> 0:16:02.324
<v Speaker 3>many supposedly smart actors is a core question that's asked

0:16:02.364 --> 0:16:05.404
<v Speaker 3>by the book. I mean, you know, the New York

0:16:05.444 --> 0:16:08.604
<v Speaker 3>Times review understood this, which is that it's like the

0:16:08.604 --> 0:16:12.844
<v Speaker 3>book is actually pretty unsparing to some of these characters

0:16:12.884 --> 0:16:15.084
<v Speaker 3>in the River, even though like it's not a boo

0:16:15.164 --> 0:16:17.204
<v Speaker 3>where I'm gonna be like Peter Teal is evil and

0:16:17.244 --> 0:16:19.284
<v Speaker 3>Elon Musk is evil and a fascist, Like that's not

0:16:19.644 --> 0:16:21.404
<v Speaker 3>my style of writing. And I think I think they're

0:16:21.444 --> 0:16:24.284
<v Speaker 3>interesting people who deserve to have their stories told by

0:16:24.284 --> 0:16:27.804
<v Speaker 3>someone who kind of understands the personality type. But SBF

0:16:27.884 --> 0:16:31.204
<v Speaker 3>was a really dangerous figure and on top of everything else,

0:16:31.244 --> 0:16:34.724
<v Speaker 3>like also a fairly bad calculator of risk. His decision

0:16:34.804 --> 0:16:37.404
<v Speaker 3>to go take the witness stand at his trial after

0:16:37.444 --> 0:16:42.564
<v Speaker 3>the government's testimony was just incredibly devastating, and they had

0:16:42.644 --> 0:16:46.124
<v Speaker 3>him dead to rights and contradicting everything he told people publicly,

0:16:46.124 --> 0:16:48.684
<v Speaker 3>everything he told me in interviews that were on the record,

0:16:48.724 --> 0:16:50.444
<v Speaker 3>although with an embario, I mean, they couldn't be used

0:16:50.484 --> 0:16:54.044
<v Speaker 3>until the book was released. You know, the willingness to lie,

0:16:54.204 --> 0:16:57.564
<v Speaker 3>plus the constant miscalculations he made where he probably could

0:16:57.604 --> 0:17:00.524
<v Speaker 3>have avoided jail time by conceding defeat and not taking

0:17:00.524 --> 0:17:02.564
<v Speaker 3>the witness stand. Not awitted all the jail time, but

0:17:03.124 --> 0:17:06.964
<v Speaker 3>ten years or five years and not twenty You know,

0:17:07.724 --> 0:17:10.284
<v Speaker 3>why did so many people vouch for him?

0:17:10.284 --> 0:17:11.964
<v Speaker 2>As a question that I think has to be has

0:17:12.004 --> 0:17:12.684
<v Speaker 2>to be pondered.

0:17:14.524 --> 0:17:26.404
<v Speaker 1>We'll be back after a quick break. You actually touched

0:17:27.084 --> 0:17:30.324
<v Speaker 1>on something there which I think is important to unwrap

0:17:30.364 --> 0:17:33.244
<v Speaker 1>a little bit more, which is that if you're taking

0:17:33.244 --> 0:17:36.484
<v Speaker 1>these huge gambles, you better be pretty damn sure your

0:17:36.524 --> 0:17:40.284
<v Speaker 1>calculations are accurate, that your percentages are accurate. But we're

0:17:40.284 --> 0:17:41.964
<v Speaker 1>living in a world where you can't do that, and

0:17:42.244 --> 0:17:45.524
<v Speaker 1>so I'm curious. You know, you build models, right that

0:17:47.004 --> 0:17:50.004
<v Speaker 1>try to kind of model things that are uncertain, that

0:17:50.044 --> 0:17:53.404
<v Speaker 1>are unknowable, that have this margin of error, And so

0:17:53.924 --> 0:17:57.564
<v Speaker 1>I think you understand more than most people that you know,

0:17:57.604 --> 0:18:00.724
<v Speaker 1>if you say sixty percent certain or like sixty percent

0:18:00.804 --> 0:18:03.884
<v Speaker 1>chance of this, like you're not actually like that. There

0:18:03.964 --> 0:18:06.124
<v Speaker 1>is a margin of error there, right, Like if you

0:18:06.524 --> 0:18:09.804
<v Speaker 1>fifty one percent likely that you're going to have a

0:18:09.804 --> 0:18:12.804
<v Speaker 1>plus EV and forty nine What if you're wrong, right, Like,

0:18:12.844 --> 0:18:16.484
<v Speaker 1>what if it's forty nine that you're that you're actually

0:18:16.484 --> 0:18:19.964
<v Speaker 1>negative TV and fifty one that you're going to destroy civilization?

0:18:20.364 --> 0:18:23.284
<v Speaker 1>So I'd love you to walk us through that thinking

0:18:23.444 --> 0:18:26.404
<v Speaker 1>and through kind of the hubris that you both need

0:18:26.444 --> 0:18:28.724
<v Speaker 1>to succeed in some ways in this area. But also

0:18:28.804 --> 0:18:31.364
<v Speaker 1>that might make you over confident of these sorts of

0:18:31.364 --> 0:18:33.644
<v Speaker 1>percentages where you really really can't afford to be.

0:18:34.484 --> 0:18:38.924
<v Speaker 3>Yeah, look, we've seen bad election models. We saw models

0:18:38.924 --> 0:18:42.164
<v Speaker 3>I gave Yeah, saw models I gave Trump a one

0:18:42.204 --> 0:18:44.564
<v Speaker 3>percent chance or zero point one percent chance of winning

0:18:44.564 --> 0:18:47.324
<v Speaker 3>in twenty sixteen. We saw models earlier this year that

0:18:47.404 --> 0:18:49.764
<v Speaker 3>gave Biden, even after he had tanked in the debate,

0:18:50.204 --> 0:18:52.044
<v Speaker 3>a fifty to fifty chance of winning, which didn't make

0:18:52.044 --> 0:18:55.484
<v Speaker 3>any sense. Even building models for these kind of close

0:18:55.644 --> 0:19:01.364
<v Speaker 3>problems like elections or sports forecasting is pretty tough. You

0:19:01.444 --> 0:19:03.164
<v Speaker 3>have a lot of choices to make as a modeler,

0:19:03.524 --> 0:19:08.884
<v Speaker 3>your biases might creep in and other things. So to

0:19:08.964 --> 0:19:12.004
<v Speaker 3>then kind of take these very back of the envelope

0:19:12.484 --> 0:19:16.284
<v Speaker 3>informal models and try to apply them to every problem

0:19:16.364 --> 0:19:19.444
<v Speaker 3>in the world is you know, obviously prone to going

0:19:19.484 --> 0:19:22.644
<v Speaker 3>wrong to some extent, and like in effective altruism, they're

0:19:22.764 --> 0:19:27.044
<v Speaker 3>very literal about this. I talked to to Will mccaskell,

0:19:27.124 --> 0:19:28.564
<v Speaker 3>who was kind of one of the founders or at

0:19:28.644 --> 0:19:30.764
<v Speaker 3>least the brand name of EA, and wrote a book

0:19:30.764 --> 0:19:33.084
<v Speaker 3>called What We Owe the Future. He calls himself a

0:19:33.604 --> 0:19:35.964
<v Speaker 3>long term mispaning. He's concerned about the very very very

0:19:35.964 --> 0:19:38.604
<v Speaker 3>far future. The first time to talk to him, he

0:19:38.724 --> 0:19:41.164
<v Speaker 3>was like, okay, so how do we weigh like a

0:19:41.244 --> 0:19:43.844
<v Speaker 3>human's life against an animal's life? And he's like, well,

0:19:43.844 --> 0:19:46.924
<v Speaker 3>it should be based on the number of neurons in

0:19:46.964 --> 0:19:49.764
<v Speaker 3>the animal's brain, or maybe the number of neurons to

0:19:49.844 --> 0:19:52.204
<v Speaker 3>the one third power or something like that. It's a

0:19:52.204 --> 0:19:55.324
<v Speaker 3>good approximation, but that leads to weird things like an

0:19:55.364 --> 0:19:56.724
<v Speaker 3>elephant elephants.

0:19:56.844 --> 0:19:58.124
<v Speaker 2>Elephants are actually.

0:19:57.804 --> 0:20:00.964
<v Speaker 3>With more than human beings by that calculation, it turns out,

0:20:01.684 --> 0:20:04.084
<v Speaker 3>but you also face some comfortable decisions. The book uses

0:20:04.124 --> 0:20:06.964
<v Speaker 3>a story of a time when a dog named I

0:20:06.964 --> 0:20:07.924
<v Speaker 3>don't I.

0:20:07.804 --> 0:20:10.564
<v Speaker 1>Didn't know, Yeah I did it realize that the poodle

0:20:10.684 --> 0:20:12.804
<v Speaker 1>like I didn't know this story, so please, yeah, please.

0:20:13.244 --> 0:20:16.564
<v Speaker 3>There's a poodle that name named Dakota that gets loose

0:20:16.604 --> 0:20:19.604
<v Speaker 3>in Prospect Park or some park in North Brooklyn from

0:20:19.644 --> 0:20:22.524
<v Speaker 3>its owner and dashes into the subways at the first

0:20:22.524 --> 0:20:27.404
<v Speaker 3>stop inbound on the F train from Manhattan to Brooklyn. So,

0:20:27.404 --> 0:20:29.724
<v Speaker 3>and this is happening at like three point thirty on

0:20:29.804 --> 0:20:32.444
<v Speaker 3>a weekday, so you're starting to get the rush hour commute.

0:20:32.444 --> 0:20:35.044
<v Speaker 3>And the question is should we shut down the entire

0:20:35.244 --> 0:20:39.764
<v Speaker 3>F line in order to search for and rescue Dakota,

0:20:39.804 --> 0:20:42.204
<v Speaker 3>which they did, and Dakota popped up at some other

0:20:42.284 --> 0:20:45.644
<v Speaker 3>subway station an hour or so later. But that's a

0:20:45.724 --> 0:20:47.644
<v Speaker 3>case where I'll put it this this out, put it

0:20:47.644 --> 0:20:50.844
<v Speaker 3>in the book. If you had, like a human baby

0:20:51.324 --> 0:20:53.884
<v Speaker 3>who had fallen onto the tracks, like, no one would

0:20:53.924 --> 0:20:58.044
<v Speaker 3>dispute that we should halt every train till that baby

0:20:58.124 --> 0:21:01.284
<v Speaker 3>is found. If it was a squirrel, then we would

0:21:01.284 --> 0:21:03.524
<v Speaker 3>just run on the squirrel, right, no questions asked.

0:21:03.844 --> 0:21:05.884
<v Speaker 1>We would we would? I mean, I hate squirrels.

0:21:06.364 --> 0:21:10.404
<v Speaker 3>And the dog is intuitively kind of a close decision,

0:21:10.484 --> 0:21:12.204
<v Speaker 3>and so and so and then. But the fact is

0:21:12.204 --> 0:21:14.804
<v Speaker 3>that you have to make a decision, and we had

0:21:14.804 --> 0:21:17.884
<v Speaker 3>to make these decisions in COVID, where you know, what's

0:21:17.924 --> 0:21:21.524
<v Speaker 3>the cost of the shutting down schools versus the cost

0:21:21.564 --> 0:21:24.844
<v Speaker 3>of preventing some degree of sickness and death, right, I

0:21:24.844 --> 0:21:26.764
<v Speaker 3>mean that's a real that's a real trade off.

0:21:26.804 --> 0:21:28.124
<v Speaker 2>Or things that are more intangible.

0:21:28.524 --> 0:21:33.764
<v Speaker 3>What's the cost of the undermining people's happiness because they

0:21:33.804 --> 0:21:36.324
<v Speaker 3>can't at least they're not supposed to see their friends

0:21:36.324 --> 0:21:38.724
<v Speaker 3>in person during COVID, or they can't go to a

0:21:38.724 --> 0:21:41.124
<v Speaker 3>baseball game, or go to a restaurant, or see their

0:21:41.204 --> 0:21:44.044
<v Speaker 3>dying relative in a hospital or all, or go to church,

0:21:44.084 --> 0:21:46.564
<v Speaker 3>all these other things, like like what's the cost of that?

0:21:46.724 --> 0:21:49.884
<v Speaker 3>And we make these decisions with with you know, different

0:21:49.884 --> 0:21:52.844
<v Speaker 3>heuristics and different rules of thumb that are often very

0:21:52.844 --> 0:21:56.324
<v Speaker 3>clumsy and maybe maybe words of magnitude wrong. I think

0:21:56.324 --> 0:21:59.284
<v Speaker 3>the decision to keep school shut down after vaccines were

0:21:59.284 --> 0:22:02.524
<v Speaker 3>available is like wrong by like ten x or one

0:22:02.564 --> 0:22:05.404
<v Speaker 3>hundred x, like unambiguously a terrible decision that some Blue

0:22:05.444 --> 0:22:09.844
<v Speaker 3>states made even after vaccine availability. So you kind of

0:22:09.844 --> 0:22:12.004
<v Speaker 3>get in this dilemma where you have to make you

0:22:12.004 --> 0:22:13.924
<v Speaker 3>have to make decisions, you have to make some calculation.

0:22:14.484 --> 0:22:18.364
<v Speaker 3>But I think people underestimate how back of the envelope

0:22:18.444 --> 0:22:20.764
<v Speaker 3>these are. And when you start to put numbers to things,

0:22:20.844 --> 0:22:24.364
<v Speaker 3>and people sometimes stop asking questions about models where they

0:22:24.364 --> 0:22:25.884
<v Speaker 3>should ask you more questions.

0:22:27.484 --> 0:22:29.684
<v Speaker 1>Is there something that you would recommend, because this is

0:22:29.724 --> 0:22:32.644
<v Speaker 1>something that I've come across, you know, many times at

0:22:32.724 --> 0:22:34.764
<v Speaker 1>a wall I hit in a lot of my research.

0:22:35.164 --> 0:22:38.644
<v Speaker 1>Is there something that you have seen in people who

0:22:38.684 --> 0:22:43.164
<v Speaker 1>are successful where they are able to modulate or at

0:22:43.244 --> 0:22:47.764
<v Speaker 1>least like self check their overconfidence and their hubris, because

0:22:47.764 --> 0:22:50.164
<v Speaker 1>it seems like most of the people on the river

0:22:50.484 --> 0:22:52.924
<v Speaker 1>don't do that, right, Like Elon Musk, absolutely not, Like

0:22:53.004 --> 0:22:56.684
<v Speaker 1>Competer Teal, absolutely not. Like all of these men who

0:22:56.724 --> 0:22:59.564
<v Speaker 1>you talk about, they don't seem to have a switch

0:22:59.604 --> 0:23:01.404
<v Speaker 1>where they can be like, Okay, you know what, let

0:23:01.444 --> 0:23:03.804
<v Speaker 1>me take a step back and self evaluate. Did you

0:23:03.884 --> 0:23:07.524
<v Speaker 1>find anyone who was able to do that? And if so,

0:23:07.684 --> 0:23:09.044
<v Speaker 1>how like how do you do that?

0:23:10.484 --> 0:23:12.924
<v Speaker 3>I mean, in some ways, some of the poker players

0:23:12.924 --> 0:23:15.604
<v Speaker 3>I talked to seem like they're more at ease with

0:23:15.724 --> 0:23:18.124
<v Speaker 3>themselves and can modulate it somehow.

0:23:18.164 --> 0:23:18.404
<v Speaker 1>You know.

0:23:18.524 --> 0:23:20.884
<v Speaker 3>Jason Kuhn, for example, is an interesting poker player who

0:23:20.884 --> 0:23:23.684
<v Speaker 3>has some very you know, had a rough upbringing, has

0:23:23.684 --> 0:23:26.244
<v Speaker 3>some very aggressive tendencies, but I think has some type

0:23:26.244 --> 0:23:29.324
<v Speaker 3>of perspective of there's this very competitive part of him

0:23:29.404 --> 0:23:32.404
<v Speaker 3>that he understands can be unleashed, but has to be

0:23:32.844 --> 0:23:36.604
<v Speaker 3>you know, meet it out in doses somehow. Look, there

0:23:36.644 --> 0:23:39.484
<v Speaker 3>is some bias in the book in the following sense,

0:23:39.484 --> 0:23:42.284
<v Speaker 3>which is that the people who are quote unquote crazy

0:23:42.804 --> 0:23:44.364
<v Speaker 3>or the people who really you know, like to talk

0:23:44.404 --> 0:23:47.724
<v Speaker 3>about themselves and take crazy risks, make for better stories.

0:23:47.764 --> 0:23:50.084
<v Speaker 3>So yeah, I mean I'm thinking about like, you know,

0:23:50.404 --> 0:23:54.964
<v Speaker 3>Michael Moritz is a Sequoia Capital venture capitalist who's been

0:23:55.004 --> 0:23:57.644
<v Speaker 3>very successful early investor in Google of many of their companies.

0:23:58.964 --> 0:24:01.564
<v Speaker 3>He's a guy who I think is probably pretty measured actually.

0:24:01.564 --> 0:24:06.124
<v Speaker 3>A former journalist Michael Moritz ven know Kosla is another

0:24:06.204 --> 0:24:09.964
<v Speaker 3>one who invests in kind of alternative things like alternative

0:24:10.084 --> 0:24:13.444
<v Speaker 3>energy or or you know, what's it called artificial meat

0:24:13.684 --> 0:24:15.404
<v Speaker 3>things like that. I mean, he seems to be like

0:24:15.484 --> 0:24:19.204
<v Speaker 3>reasonably well balanced. Patrick Collison, the founder of Strike. But

0:24:19.564 --> 0:24:22.004
<v Speaker 3>and these people are all in the book. But because

0:24:22.004 --> 0:24:25.324
<v Speaker 3>they're less bombastic, they maybe get like both a little

0:24:25.324 --> 0:24:26.964
<v Speaker 3>bit less of a write up from me and then

0:24:27.204 --> 0:24:30.604
<v Speaker 3>and then kind of having some lost in translation problem too.

0:24:30.644 --> 0:24:35.164
<v Speaker 3>But yeah, look, overconfidence is a really big problem for

0:24:35.204 --> 0:24:38.004
<v Speaker 3>people in the river because by definition, these are people

0:24:38.004 --> 0:24:43.324
<v Speaker 3>who probably won their first couple of big bets, sometimes

0:24:43.324 --> 0:24:46.844
<v Speaker 3>by skill, sometimes by luck. I'd say often more luck

0:24:46.884 --> 0:24:49.804
<v Speaker 3>than skill, but usually some of both. And when you're

0:24:49.804 --> 0:24:51.804
<v Speaker 3>on a winning streak, then you can think that your

0:24:52.124 --> 0:24:54.284
<v Speaker 3>God's gift to whatever venture that you happen to be

0:24:54.644 --> 0:24:57.644
<v Speaker 3>involved in, and you can be overconfident. And because there

0:24:57.724 --> 0:25:00.084
<v Speaker 3>is like there is like fruitful territory. I mean, the

0:25:00.164 --> 0:25:02.084
<v Speaker 3>village leaves a lot to be desired for how it

0:25:02.124 --> 0:25:05.324
<v Speaker 3>assesses risk and does other things, and so you know,

0:25:05.564 --> 0:25:08.164
<v Speaker 3>you can in some ways the critiques that these two

0:25:08.204 --> 0:25:11.764
<v Speaker 3>communities have of one another are both pretty smart. I mean,

0:25:11.764 --> 0:25:14.564
<v Speaker 3>I think the River's critique of the village that these

0:25:14.564 --> 0:25:18.324
<v Speaker 3>guys are too risk averse, that their partisan, that they're

0:25:18.324 --> 0:25:20.964
<v Speaker 3>too concerned with social perception. I think that's basically right.

0:25:21.004 --> 0:25:24.604
<v Speaker 3>But also some of the Silicon Valley founders and vcs

0:25:24.684 --> 0:25:26.964
<v Speaker 3>are are total arrogant pricks.

0:25:28.404 --> 0:25:31.484
<v Speaker 1>Yeah, that's one way of putting in. And I think

0:25:31.524 --> 0:25:33.724
<v Speaker 1>that was something that you're that you just hinted at,

0:25:34.404 --> 0:25:38.124
<v Speaker 1>which is I think going to necessarily be like a

0:25:38.164 --> 0:25:40.524
<v Speaker 1>problem when you're trying to figure out who to interview

0:25:40.604 --> 0:25:43.124
<v Speaker 1>for the book, and it's just in this industry, well

0:25:43.164 --> 0:25:47.084
<v Speaker 1>in the world in general, is we have this survivor bias, right,

0:25:47.204 --> 0:25:51.244
<v Speaker 1>which we see the people who are successful. How are

0:25:51.244 --> 0:25:53.324
<v Speaker 1>you going to go out and interview all the people

0:25:53.324 --> 0:25:56.564
<v Speaker 1>who took these risks, who where didn't pan out. One

0:25:56.604 --> 0:25:58.244
<v Speaker 1>of the things that really struck me as I was

0:25:58.284 --> 0:26:00.564
<v Speaker 1>reading your book was when you actually did some of

0:26:00.604 --> 0:26:03.724
<v Speaker 1>these simulations, right, and you actually wrote out what the

0:26:03.804 --> 0:26:07.444
<v Speaker 1>numbers looked like if you had different strategies, and some

0:26:07.484 --> 0:26:09.764
<v Speaker 1>of them I was like, holy shit, right, like this

0:26:10.004 --> 0:26:14.844
<v Speaker 1>crazy risky strategy, Like, yes, you die ninety five percent

0:26:14.844 --> 0:26:17.004
<v Speaker 1>of the time, but like, look at that five percent.

0:26:17.364 --> 0:26:20.204
<v Speaker 1>But that five percent is mostly who you end up interviewing, right,

0:26:20.204 --> 0:26:22.764
<v Speaker 1>because they become the elon Musks of the world. So

0:26:22.844 --> 0:26:24.924
<v Speaker 1>what does that do to kind of our perceptions of

0:26:24.964 --> 0:26:26.084
<v Speaker 1>some of these traits? You know?

0:26:26.244 --> 0:26:29.004
<v Speaker 3>Yeah, and so look, this became a little bit easier.

0:26:29.524 --> 0:26:32.124
<v Speaker 3>I'm just speaking kind of behind the scenes as a writer.

0:26:32.924 --> 0:26:36.764
<v Speaker 3>When the SBF thing blew up, then that became easier.

0:26:37.044 --> 0:26:41.044
<v Speaker 3>There's originally going to be like a chapter on failures,

0:26:41.084 --> 0:26:43.524
<v Speaker 3>but that meant more people that like you know, want

0:26:43.524 --> 0:26:45.444
<v Speaker 3>to poke a tournament and then developed some type of

0:26:45.444 --> 0:26:47.964
<v Speaker 3>problem afterward or whatever else. But like SBF kind of

0:26:48.564 --> 0:26:51.204
<v Speaker 3>served enough of that role where great narrative wise, I.

0:26:51.124 --> 0:26:51.724
<v Speaker 2>Thought it was okay.

0:26:51.804 --> 0:26:55.124
<v Speaker 3>I mean, there is one story about a person named

0:26:55.204 --> 0:26:57.724
<v Speaker 3>run bow Lee who was a smart guy.

0:26:57.764 --> 0:26:58.924
<v Speaker 2>You never see a trun that was.

0:26:59.324 --> 0:27:01.164
<v Speaker 1>That was kind of a heartbreaking story. Yeah, go ahead.

0:27:01.204 --> 0:27:02.444
<v Speaker 3>And he came to me and he said, you're writing

0:27:02.484 --> 0:27:04.084
<v Speaker 3>this book about these sucessful people. Just kind of cold

0:27:04.124 --> 0:27:06.364
<v Speaker 3>emailed me. And he's like, I'm somebody who got really

0:27:06.364 --> 0:27:09.564
<v Speaker 3>burned by by day trading, by day trading option in

0:27:09.564 --> 0:27:13.884
<v Speaker 3>particular getting into all the Wall Street bets kind of communities.

0:27:13.924 --> 0:27:17.484
<v Speaker 3>And he has lost a million dollars on options trading,

0:27:17.564 --> 0:27:20.404
<v Speaker 3>and he wanted to tell a story, and I'm like,

0:27:20.404 --> 0:27:22.084
<v Speaker 3>the story has to go in the book. There's also,

0:27:22.724 --> 0:27:27.164
<v Speaker 3>you know, the chapter on Las Vegas, which is chapter three,

0:27:27.604 --> 0:27:30.604
<v Speaker 3>is about how casinos, particularly through slot machines, kind of

0:27:30.644 --> 0:27:33.724
<v Speaker 3>manipulate their patrons into spending more. I mean, the stories

0:27:33.764 --> 0:27:37.164
<v Speaker 3>I heard from Natasha Sholl, who is a kind of

0:27:37.164 --> 0:27:40.044
<v Speaker 3>an amazing woman. She's an myu athropologist who had like

0:27:40.044 --> 0:27:41.724
<v Speaker 3>never been out of the East Coast and she's like,

0:27:42.124 --> 0:27:44.364
<v Speaker 3>Las Vegas is an exotic place. I want to study

0:27:44.404 --> 0:27:47.764
<v Speaker 3>Las Vegas as an anthropologist. Did her dissertation about it,

0:27:47.764 --> 0:27:49.844
<v Speaker 3>then wrote a book about it, and that's a story

0:27:49.884 --> 0:27:53.604
<v Speaker 3>about problem gambling. And although I didn't talk to that

0:27:53.604 --> 0:27:58.564
<v Speaker 3>many problem gamblers, really you know, it's very dark about

0:27:58.884 --> 0:27:59.764
<v Speaker 3>slot machine addiction.

0:27:59.844 --> 0:28:03.364
<v Speaker 1>Yeah. Well, one of the things actually that really was

0:28:03.444 --> 0:28:06.764
<v Speaker 1>interesting to me there because I hadn't read Schul's book,

0:28:07.724 --> 0:28:11.724
<v Speaker 1>was this insight that you that you go into, which

0:28:11.764 --> 0:28:14.484
<v Speaker 1>is that a lot of these problem gamblers that people

0:28:14.484 --> 0:28:17.124
<v Speaker 1>who play slot machines they know they're losing, and they

0:28:17.164 --> 0:28:20.844
<v Speaker 1>don't care that they're just like they enjoy, like they

0:28:20.964 --> 0:28:24.404
<v Speaker 1>enjoy that experience even though they lose. And to me,

0:28:25.204 --> 0:28:27.724
<v Speaker 1>like that was actually an alha moment because I always

0:28:27.764 --> 0:28:30.124
<v Speaker 1>thought that at least they thought they could win, right,

0:28:30.164 --> 0:28:31.804
<v Speaker 1>But like one of the otherers was that, like you

0:28:31.884 --> 0:28:34.004
<v Speaker 1>might be a winner, but you even said that some

0:28:34.044 --> 0:28:36.964
<v Speaker 1>of them don't like winning because it brings them out

0:28:36.964 --> 0:28:37.804
<v Speaker 1>of that flow state.

0:28:38.004 --> 0:28:41.484
<v Speaker 3>Yeah, you're in some machine zone. Natasha Shall calls it

0:28:41.564 --> 0:28:44.164
<v Speaker 3>the machine zone where it's just you and you're pressing

0:28:44.204 --> 0:28:47.124
<v Speaker 3>the reels and you know, I don't have much of

0:28:47.164 --> 0:28:49.164
<v Speaker 3>a compulsion to play slots, but I've tossed in a

0:28:49.164 --> 0:28:50.084
<v Speaker 3>few bucks.

0:28:50.004 --> 0:28:51.884
<v Speaker 2>Here and there. When you're frustrated the Innovan Poker.

0:28:51.684 --> 0:28:56.004
<v Speaker 3>Tournament, and some of the games are very fun and compelling,

0:28:56.084 --> 0:28:58.004
<v Speaker 3>right you got like gorillas or what's the big one?

0:28:58.084 --> 0:29:00.844
<v Speaker 3>Not Garia's but uh Buffalo Buffalo.

0:29:00.924 --> 0:29:04.164
<v Speaker 1>I've never I've never played slots in my life, even I'm.

0:29:04.044 --> 0:29:05.004
<v Speaker 2>Going to force you to.

0:29:05.124 --> 0:29:07.164
<v Speaker 3>I'm going to give you money to play slots, I think, Maria,

0:29:07.244 --> 0:29:10.124
<v Speaker 3>so you can no longer make that bras, which I

0:29:10.164 --> 0:29:15.204
<v Speaker 3>find nitty by the way, but yeah, they they want

0:29:15.244 --> 0:29:18.564
<v Speaker 3>to shut out all the other distractions of the world

0:29:18.604 --> 0:29:20.404
<v Speaker 3>and just channel it into like one problem, which is

0:29:20.484 --> 0:29:23.364
<v Speaker 3>problem part problem gambling, which is very different than like.

0:29:24.804 --> 0:29:26.204
<v Speaker 2>The table games players.

0:29:26.724 --> 0:29:30.844
<v Speaker 3>The Blackjack crabs player more often fits the stereotype of

0:29:30.884 --> 0:29:33.364
<v Speaker 3>somebody who is bored because they don't have enough risk

0:29:33.404 --> 0:29:35.844
<v Speaker 3>tolerance in their life, enough risk in their life, and

0:29:35.884 --> 0:29:38.444
<v Speaker 3>so their useless as a way, and some of this

0:29:38.564 --> 0:29:41.724
<v Speaker 3>is is gendered too, if you want to go there,

0:29:41.724 --> 0:29:45.324
<v Speaker 3>but like you know, men feeling the need. If you've

0:29:45.324 --> 0:29:47.524
<v Speaker 3>been enough craps tables, craps I do find fun, don't

0:29:47.524 --> 0:29:50.204
<v Speaker 3>play it much. If you've been enough groups of guys

0:29:50.284 --> 0:29:53.324
<v Speaker 3>at a at a craps table where they'll encourage one

0:29:53.324 --> 0:29:55.844
<v Speaker 3>another to make bets at you know, every crafts bets

0:29:55.884 --> 0:29:59.124
<v Speaker 3>negative EV, but also to play outside their means and

0:29:59.164 --> 0:30:01.284
<v Speaker 3>gamble bigger, so they'll have stories to tell. I mean

0:30:01.324 --> 0:30:04.484
<v Speaker 3>that's you know, that's a certain type of young man

0:30:04.524 --> 0:30:05.804
<v Speaker 3>is more likely to do that kind of thing, and

0:30:05.844 --> 0:30:08.364
<v Speaker 3>it might substitute for other types of ways to prove

0:30:08.404 --> 0:30:11.364
<v Speaker 3>their bravery. But like the slots machines players and then

0:30:11.404 --> 0:30:16.204
<v Speaker 3>the skill game players, the poker players, the sports betters,

0:30:16.244 --> 0:30:19.804
<v Speaker 3>the handful of advantage players, which means people who try

0:30:19.804 --> 0:30:22.804
<v Speaker 3>to count cards in blackjack, there are conditions.

0:30:22.884 --> 0:30:25.684
<v Speaker 2>Please do not try this yourself.

0:30:25.724 --> 0:30:29.324
<v Speaker 3>There are conditions under witch playing slot machines can be

0:30:29.404 --> 0:30:33.444
<v Speaker 3>plus ev because of contingencies the machines or bonus payouts

0:30:33.524 --> 0:30:36.644
<v Speaker 3>or jackpots that becomes efficiently large. But those are those

0:30:36.684 --> 0:30:39.284
<v Speaker 3>are one percent of the gambling world. I mean, sometimes

0:30:39.604 --> 0:30:42.884
<v Speaker 3>I feel like you and I are use. You know,

0:30:43.804 --> 0:30:47.484
<v Speaker 3>some of the prestige resorts, generally speaking, the prestige resorts

0:30:47.564 --> 0:30:50.164
<v Speaker 3>in Las Vegas and elsewhere have the best poker rooms,

0:30:50.204 --> 0:30:56.164
<v Speaker 3>the win that are et cetera resorts world Now, Alasio,

0:30:56.204 --> 0:30:58.164
<v Speaker 3>I sometimes wonder if like we're used a little bit

0:30:58.204 --> 0:31:01.804
<v Speaker 3>to whitewash the fact that like ninety nine percent of

0:31:01.844 --> 0:31:04.964
<v Speaker 3>people in that casino are doing negative expected value gambling.

0:31:06.084 --> 0:31:07.484
<v Speaker 1>Now, I mean that I think that's true, and I

0:31:07.564 --> 0:31:11.044
<v Speaker 1>do and I do overlook that on purpose because I

0:31:11.044 --> 0:31:15.084
<v Speaker 1>don't like paying attention to that, right, But yeah, I know,

0:31:15.404 --> 0:31:18.804
<v Speaker 1>I think you're right, And I don't want to judge

0:31:18.804 --> 0:31:21.524
<v Speaker 1>anyone for you know, playing slots or doing whatever they're doing.

0:31:21.604 --> 0:31:23.804
<v Speaker 1>But I do find it a little bit depressing when

0:31:23.844 --> 0:31:27.084
<v Speaker 1>I see people who don't have an edge and who

0:31:27.124 --> 0:31:29.164
<v Speaker 1>are just kind of pressing buttons.

0:31:29.884 --> 0:31:33.604
<v Speaker 3>Yeah. Look, I comfort myself by saying that poker, at

0:31:33.684 --> 0:31:39.164
<v Speaker 3>least I think is plus CV any utilitarian calculus for society,

0:31:39.244 --> 0:31:42.004
<v Speaker 3>just because I think it is such a unique teacher

0:31:42.644 --> 0:31:45.124
<v Speaker 3>of certain critical life skills in an environment where you

0:31:45.124 --> 0:31:47.644
<v Speaker 3>have something real at risk that like, I just I

0:31:47.724 --> 0:31:50.324
<v Speaker 3>just think that, like I just think that playing poker

0:31:50.364 --> 0:31:55.204
<v Speaker 3>makes you more adept at handling real life risky situations

0:31:55.204 --> 0:31:56.004
<v Speaker 3>a lot of the time.

0:31:56.924 --> 0:31:57.084
<v Speaker 2>You know.

0:31:57.164 --> 0:32:00.884
<v Speaker 3>Apart from that, I mean, I think there's a lot

0:32:00.924 --> 0:32:04.084
<v Speaker 3>in the book about sports betting. I think there's more

0:32:04.124 --> 0:32:08.084
<v Speaker 3>papers coming out saying that sports betting increases bankruptcies among

0:32:08.164 --> 0:32:10.404
<v Speaker 3>exactly the classes of people that you would expect, Like

0:32:10.444 --> 0:32:14.404
<v Speaker 3>you see oh, uptick in bankruptcies and males age twenty

0:32:14.404 --> 0:32:15.924
<v Speaker 3>to thirty nine, And what if it could have caused

0:32:15.924 --> 0:32:18.244
<v Speaker 3>that when sports Beenning went online in X and Y State.

0:32:19.684 --> 0:32:22.644
<v Speaker 3>You know, look, I think the slot machine stuff is

0:32:22.644 --> 0:32:26.324
<v Speaker 3>probably quite bad from a utilitarian standpoint. I think the

0:32:26.364 --> 0:32:28.524
<v Speaker 3>state lottery is actually maybe the worst of all on

0:32:28.524 --> 0:32:30.324
<v Speaker 3>a kind of a per capita basis, where the odds

0:32:30.324 --> 0:32:32.724
<v Speaker 3>are very bad for the player and the socio economics

0:32:32.724 --> 0:32:35.644
<v Speaker 3>of who plays the state lottery are It's basically attacks

0:32:35.684 --> 0:32:39.444
<v Speaker 3>on like lower class people for the most part, so

0:32:39.484 --> 0:32:41.284
<v Speaker 3>there's a lot of hipocrisy. There are also lots of

0:32:41.364 --> 0:32:44.084
<v Speaker 3>arguments about the arms race that hey, if we don't

0:32:44.164 --> 0:32:47.644
<v Speaker 3>legalize this game, then maybe somebody else would, right. I mean,

0:32:47.684 --> 0:32:51.004
<v Speaker 3>if I had my you know, if I could perfectly

0:32:51.044 --> 0:32:53.724
<v Speaker 3>calibrate it, then maybe i'd have something where you have

0:32:54.244 --> 0:32:57.364
<v Speaker 3>a casino that offers poker and table games but not

0:32:57.444 --> 0:33:00.564
<v Speaker 3>slot machines. And maybe you have sports bedding which can

0:33:00.604 --> 0:33:04.244
<v Speaker 3>be done in person at a facility but not online

0:33:04.284 --> 0:33:06.564
<v Speaker 3>where the addiction seems to be higher, and they have

0:33:06.724 --> 0:33:09.844
<v Speaker 3>fair rules where you don't limit winning players, et cetera,

0:33:09.844 --> 0:33:12.124
<v Speaker 3>and you have limits on how much can take from Wales,

0:33:12.564 --> 0:33:16.124
<v Speaker 3>Like there's a world in which I would be I

0:33:16.164 --> 0:33:18.444
<v Speaker 3>think more content with. And again I'm not a moralistic person.

0:33:18.484 --> 0:33:20.804
<v Speaker 3>The book is not going to be scoldy, and I

0:33:20.804 --> 0:33:23.004
<v Speaker 3>believe in showing and not telling. But like, it's not

0:33:23.044 --> 0:33:27.004
<v Speaker 3>like the the gambling industry comes out looking great. It

0:33:27.004 --> 0:33:28.804
<v Speaker 3>comes out looking smart, it comes out looking like it

0:33:28.924 --> 0:33:31.924
<v Speaker 3>understands how to like model its customers out. And I

0:33:31.964 --> 0:33:34.884
<v Speaker 3>would say one thing to say encounter to this is

0:33:34.924 --> 0:33:37.844
<v Speaker 3>that if you go to the mid to high range

0:33:37.884 --> 0:33:41.524
<v Speaker 3>resorts in Las Vegas, my subjective view is that people

0:33:41.604 --> 0:33:43.244
<v Speaker 3>seem to be having a pretty good time, and Las

0:33:43.324 --> 0:33:45.844
<v Speaker 3>Vegas gets a lot of repeat business, so there's some

0:33:45.924 --> 0:33:48.164
<v Speaker 3>type of win win in that deal. But I might,

0:33:48.844 --> 0:33:50.804
<v Speaker 3>I might draw the line a little bit higher than

0:33:50.844 --> 0:33:52.324
<v Speaker 3>like a total free for all, which is kind of

0:33:52.324 --> 0:33:53.164
<v Speaker 3>where we're headed. Now.

0:33:54.764 --> 0:33:58.484
<v Speaker 2>We will be back in just a minute.

0:34:12.244 --> 0:34:15.124
<v Speaker 1>I have a few questions, but first I'm just curious

0:34:15.244 --> 0:34:19.444
<v Speaker 1>are you still doing sports betting? So I loved that

0:34:19.524 --> 0:34:21.524
<v Speaker 1>you picked it up in a serious way for the book,

0:34:21.564 --> 0:34:23.884
<v Speaker 1>although holy shit, I had no idea that you'd wagered

0:34:23.924 --> 0:34:28.444
<v Speaker 1>over a million dollars for your research, Nate, I didn't know,

0:34:30.524 --> 0:34:33.844
<v Speaker 1>but yeah, tell us about that and tell us what

0:34:33.884 --> 0:34:34.764
<v Speaker 1>you're doing right now.

0:34:35.284 --> 0:34:37.924
<v Speaker 3>So I wanted to have skin in the game, to

0:34:37.924 --> 0:34:40.404
<v Speaker 3>borrow another author's phrase and see what it's actually like

0:34:40.444 --> 0:34:43.004
<v Speaker 3>when you're going through the grind of sports betting an

0:34:43.044 --> 0:34:45.844
<v Speaker 3>NBA season. So I bet almost the entirety of the

0:34:45.844 --> 0:34:48.044
<v Speaker 3>twenty twenty two to twenty three NBA season, all the

0:34:48.044 --> 0:34:50.484
<v Speaker 3>regular season, in about half the playoffs, and then five

0:34:50.644 --> 0:34:53.044
<v Speaker 3>thirty eight blew up, and so I had other things

0:34:53.044 --> 0:34:54.964
<v Speaker 3>to do, and I didn't bet the end of the playoffs,

0:34:56.404 --> 0:34:57.964
<v Speaker 3>and I learned that, I mean, it's probably what I

0:34:58.004 --> 0:35:00.564
<v Speaker 3>should have expected by I learned that it's pretty hard.

0:35:01.404 --> 0:35:04.204
<v Speaker 3>I went on a huge heater at the start of

0:35:04.204 --> 0:35:06.804
<v Speaker 3>the NBA season where I was up like seventy thousand bucks.

0:35:06.844 --> 0:35:10.524
<v Speaker 3>I'm like, man, I'm really fucking good at the sports

0:35:10.564 --> 0:35:11.124
<v Speaker 3>betting stuff.

0:35:11.204 --> 0:35:12.644
<v Speaker 2>But then but then things change.

0:35:12.724 --> 0:35:14.564
<v Speaker 3>One thing that changes is you start to get limited

0:35:14.884 --> 0:35:16.964
<v Speaker 3>by some of the sites, especially if you're trying to

0:35:16.964 --> 0:35:19.164
<v Speaker 3>do things like, oh, I just suck. Because I'm a

0:35:19.164 --> 0:35:22.484
<v Speaker 3>Twitter addict, I follow a lot of NBA writers. Oh,

0:35:22.964 --> 0:35:26.684
<v Speaker 3>Damian Lillard of the Portland Trailblazers is injured today, but

0:35:26.804 --> 0:35:29.444
<v Speaker 3>the line at sportsbook X does not yet account for that.

0:35:29.924 --> 0:35:31.924
<v Speaker 3>So let me go and bet three thousand dollars on

0:35:31.924 --> 0:35:34.564
<v Speaker 3>this bet which is now hugely positive. Ev you can

0:35:34.564 --> 0:35:37.164
<v Speaker 3>do it the first time, maybe the second time. The

0:35:37.204 --> 0:35:40.164
<v Speaker 3>third time, your hands are cut off basically kind of literally.

0:35:41.284 --> 0:35:43.524
<v Speaker 3>So when you aren't able to take advantage of things

0:35:43.564 --> 0:35:45.564
<v Speaker 3>that you know in principle, I think you should be.

0:35:45.604 --> 0:35:47.404
<v Speaker 3>I mean, if they're posting a line, they're taking action

0:35:47.484 --> 0:35:50.484
<v Speaker 3>on it. And the fact that, like in the NBA

0:35:50.684 --> 0:35:53.804
<v Speaker 3>regular season, it's all about is this player injured? Who

0:35:53.844 --> 0:35:56.724
<v Speaker 3>is trying to actually win and who's not. The models

0:35:56.804 --> 0:35:58.724
<v Speaker 3>that you have at the start of the season don't

0:35:58.724 --> 0:36:00.124
<v Speaker 3>work as well when you're kind of in this like

0:36:00.164 --> 0:36:02.804
<v Speaker 3>triage phase of the of the trenches of the NBA

0:36:02.884 --> 0:36:05.564
<v Speaker 3>regular season, and you know, and you talk to other

0:36:05.564 --> 0:36:08.004
<v Speaker 3>bears like, yeah, I have three guys whose entire job

0:36:08.084 --> 0:36:10.444
<v Speaker 3>Spanky here a this is a guy who we interview

0:36:10.444 --> 0:36:13.004
<v Speaker 3>in the book. I have three guys who just track

0:36:13.044 --> 0:36:15.004
<v Speaker 3>injury data for me. I mean, while I'm trying to

0:36:15.044 --> 0:36:16.924
<v Speaker 3>like do some Twitter search for is this player in

0:36:16.964 --> 0:36:21.444
<v Speaker 3>the warm up? You know, you're competing essentially against the

0:36:21.444 --> 0:36:25.684
<v Speaker 3>best players, the best betters in the world. So I

0:36:25.724 --> 0:36:28.404
<v Speaker 3>love that one point eight million dollars in bets and

0:36:28.404 --> 0:36:31.844
<v Speaker 3>believe this is just like on average the bet size

0:36:31.844 --> 0:36:34.484
<v Speaker 3>is like twelve hundred bucks, you're making fifteen hundred twelve

0:36:34.524 --> 0:36:36.644
<v Speaker 3>hundred dollars bets or whatever. Over the course of the season,

0:36:37.724 --> 0:36:40.924
<v Speaker 3>I made about five thousand bucks, probably spent about five

0:36:40.964 --> 0:36:43.724
<v Speaker 3>thousand hours on this, so I made less than minimum

0:36:43.724 --> 0:36:47.444
<v Speaker 3>wage actually with my with my sports betting side hustle.

0:36:49.004 --> 0:36:49.604
<v Speaker 3>I love it.

0:36:49.684 --> 0:36:50.204
<v Speaker 2>I love it.

0:36:50.484 --> 0:36:53.924
<v Speaker 1>So I want to ask two more things before we

0:36:53.964 --> 0:36:56.764
<v Speaker 1>wrap up. The first is kind of a theme that

0:36:57.044 --> 0:36:59.844
<v Speaker 1>I and I think I picked up on this because

0:37:00.244 --> 0:37:03.044
<v Speaker 1>you know, it's something that I've obviously thought about a lot,

0:37:03.604 --> 0:37:08.444
<v Speaker 1>a lot, And it's the strand that is woven throughout

0:37:08.484 --> 0:37:11.564
<v Speaker 1>the book, which is that even though the book is

0:37:11.644 --> 0:37:15.764
<v Speaker 1>about skill, about finding edges, about how to make plus

0:37:15.764 --> 0:37:19.284
<v Speaker 1>ev gambles, there is this thread throughout it of luck,

0:37:19.644 --> 0:37:22.604
<v Speaker 1>right and of the fact that you also do need

0:37:22.684 --> 0:37:25.764
<v Speaker 1>to get lucky, and you you actually you point to

0:37:25.804 --> 0:37:28.204
<v Speaker 1>a lot of these moments where things could have turned

0:37:28.204 --> 0:37:31.484
<v Speaker 1>out so differently, like, you know, to pick a random example,

0:37:31.644 --> 0:37:35.684
<v Speaker 1>the car crash that Peter Tila and Elon Musk were in, right,

0:37:35.804 --> 0:37:39.644
<v Speaker 1>Like what happens if the car lands differently. And I

0:37:39.644 --> 0:37:42.124
<v Speaker 1>don't know if you want to talk about that specific example,

0:37:42.364 --> 0:37:45.484
<v Speaker 1>but this is something that you're clearly very aware of,

0:37:45.564 --> 0:37:47.684
<v Speaker 1>and I just want to raise it and talk about

0:37:47.724 --> 0:37:48.324
<v Speaker 1>it a little bit.

0:37:49.044 --> 0:37:53.644
<v Speaker 3>Yeah, there is a survivorship bias problem when you're writing

0:37:53.644 --> 0:37:57.524
<v Speaker 3>a book about successful people, and literally kind of in

0:37:57.524 --> 0:37:59.604
<v Speaker 3>the case of Elon Musk and Peter Teal, Elon had

0:37:59.604 --> 0:38:02.684
<v Speaker 3>sold his first company, bought like a million dollar McLaren

0:38:03.164 --> 0:38:05.524
<v Speaker 3>F one or something sports car basically almost like a

0:38:05.844 --> 0:38:09.244
<v Speaker 3>you know, Formula one caliber car, and they're driving in

0:38:09.284 --> 0:38:11.244
<v Speaker 3>on and I think sand Hill Road or somewhere in

0:38:11.324 --> 0:38:15.084
<v Speaker 3>Palo Alto, and Elon floor is the accelebrator while trying

0:38:15.124 --> 0:38:18.484
<v Speaker 3>to change lanes, and it kind of spirals up into

0:38:18.524 --> 0:38:21.964
<v Speaker 3>like doing a little helicopter motion and miraculously lands on

0:38:22.004 --> 0:38:26.524
<v Speaker 3>its wheels, and Elon and Peter are are okay, and

0:38:26.564 --> 0:38:31.444
<v Speaker 3>actually hitchhikes their VC meeting, And I guess keep PayPal

0:38:31.564 --> 0:38:34.964
<v Speaker 3>alive by with that hitchhike. But so I asked Peter

0:38:35.084 --> 0:38:38.924
<v Speaker 3>teel you know, I asked him in a way that

0:38:39.044 --> 0:38:41.044
<v Speaker 3>was nerdier. I asked him, if you ran the world

0:38:41.124 --> 0:38:44.764
<v Speaker 3>a thousand times, had a thousand simulations, then how often

0:38:44.764 --> 0:38:47.244
<v Speaker 3>would you wind up in this position? And he objected

0:38:47.284 --> 0:38:48.804
<v Speaker 3>to this question and went on a whole thing about

0:38:48.804 --> 0:38:51.884
<v Speaker 3>determinism or probablism, which is interesting, but we don't have

0:38:51.964 --> 0:38:54.684
<v Speaker 3>time for today, I don't think. But yeah, life is

0:38:54.764 --> 0:38:58.124
<v Speaker 3>very contingent. We've talked on the show about the assassination

0:38:58.124 --> 0:39:00.764
<v Speaker 3>attempt against President Trump where that was a very close call,

0:39:00.884 --> 0:39:04.364
<v Speaker 3>or things like the butterfly ballot in the two thousand election,

0:39:04.404 --> 0:39:07.244
<v Speaker 3>which is in one ballot in one county in Florida

0:39:07.324 --> 0:39:10.204
<v Speaker 3>in two thousand, the ballot had a fun design where

0:39:10.244 --> 0:39:12.524
<v Speaker 3>some people who would have wanted to vote for Al

0:39:12.564 --> 0:39:14.924
<v Speaker 3>Gore wound up voting for Pat Buchanan instead, and that

0:39:15.084 --> 0:39:17.484
<v Speaker 3>was enough to cost or the election. On top of

0:39:17.484 --> 0:39:19.804
<v Speaker 3>the recount stuff in Florida wouldn't have mattered if this

0:39:19.844 --> 0:39:21.124
<v Speaker 3>ballot design had been better.

0:39:22.164 --> 0:39:22.924
<v Speaker 2>So life is.

0:39:23.324 --> 0:39:26.564
<v Speaker 3>Whether it's literally metaphysically random or not is a philosophical question,

0:39:26.684 --> 0:39:29.284
<v Speaker 3>But it's random to our ability to determine it in

0:39:29.324 --> 0:39:32.364
<v Speaker 3>a lot of ways. And it's just it's just very

0:39:32.404 --> 0:39:37.604
<v Speaker 3>hard to acknowledge the role that luck plays in your life.

0:39:37.644 --> 0:39:40.524
<v Speaker 3>It's very hard even for me or for you. Maybe

0:39:40.564 --> 0:39:44.164
<v Speaker 3>you're the exception, Maria, it's very hard not to tell

0:39:44.204 --> 0:39:47.924
<v Speaker 3>yourself a clever narrative in which in which you know,

0:39:47.964 --> 0:39:51.764
<v Speaker 3>even in writing the book I have. I think I've

0:39:51.804 --> 0:39:54.644
<v Speaker 3>gotten very lucky with a lot of things to kind

0:39:54.644 --> 0:39:57.804
<v Speaker 3>of have, like this SBF story, like fall into into

0:39:57.844 --> 0:40:00.404
<v Speaker 3>My Lap, for example, was I think pretty lucky. And

0:40:00.444 --> 0:40:02.884
<v Speaker 3>having a book that covered territory like AI that kind

0:40:02.884 --> 0:40:05.244
<v Speaker 3>of became a much bigger deal, and sports betting really

0:40:05.284 --> 0:40:07.444
<v Speaker 3>blew up. I mean, you know, so I think I've

0:40:07.484 --> 0:40:08.884
<v Speaker 3>gotten very lucky in a lot of things recently, the

0:40:08.964 --> 0:40:11.244
<v Speaker 3>way that, like, you know, I didn't know that actually

0:40:11.324 --> 0:40:14.924
<v Speaker 3>having this independent newsletter is actually actually much better economically

0:40:14.964 --> 0:40:16.764
<v Speaker 3>than being working for a big company. I didn't know that,

0:40:16.804 --> 0:40:18.884
<v Speaker 3>And I could easily have taken a deal with another

0:40:18.884 --> 0:40:20.804
<v Speaker 3>big company and wound up worse off for it, and

0:40:20.804 --> 0:40:22.764
<v Speaker 3>a lot of respects, and so, you know, I know

0:40:22.804 --> 0:40:25.724
<v Speaker 3>the role that luck has played in my life, including

0:40:25.764 --> 0:40:29.844
<v Speaker 3>just things like being basically healthy and having a supportive

0:40:29.844 --> 0:40:32.564
<v Speaker 3>partner and supportive friends, and being born into a country

0:40:32.604 --> 0:40:34.524
<v Speaker 3>where it's okay to be a gay man and a

0:40:34.524 --> 0:40:37.804
<v Speaker 3>country where where you have some downside protection. I mean,

0:40:37.804 --> 0:40:40.564
<v Speaker 3>those are all things that are are very lucky. So

0:40:40.724 --> 0:40:43.524
<v Speaker 3>you know, the next time that I take a cooler

0:40:43.844 --> 0:40:46.164
<v Speaker 3>in poker or b louse set of or set or something,

0:40:46.204 --> 0:40:47.924
<v Speaker 3>then I can't complain too much.

0:40:49.364 --> 0:40:51.484
<v Speaker 1>Well, I had more questions, but that seems like such

0:40:51.524 --> 0:40:55.004
<v Speaker 1>a beautiful place to end that I think I have

0:40:55.124 --> 0:40:59.844
<v Speaker 1>to not ask my remaining question. But yeah, I mean,

0:41:00.284 --> 0:41:03.124
<v Speaker 1>obviously this is something I've thought about a lot and

0:41:03.444 --> 0:41:05.764
<v Speaker 1>was kind of the big theme of the Biggest Bluff.

0:41:05.804 --> 0:41:09.204
<v Speaker 1>But it's nice to see that you know that this

0:41:09.524 --> 0:41:12.284
<v Speaker 1>something that you're thinking about as well, because I do

0:41:12.324 --> 0:41:15.844
<v Speaker 1>think that it's easy for us to get over confident.

0:41:15.884 --> 0:41:18.444
<v Speaker 1>And I think that as we you know, during risky

0:41:18.524 --> 0:41:22.124
<v Speaker 1>business and all all of these endeavors, we do want

0:41:22.164 --> 0:41:24.804
<v Speaker 1>to maximize our skill, but we do need to always

0:41:24.804 --> 0:41:27.164
<v Speaker 1>remember that we're we are insanely lucky to even be

0:41:27.204 --> 0:41:30.724
<v Speaker 1>in this position. So Nate, I hope that you get

0:41:30.804 --> 0:41:34.084
<v Speaker 1>continue to get lucky, and that this book sells an

0:41:34.124 --> 0:41:38.724
<v Speaker 1>insane number of copies and that it does incredibly well,

0:41:38.804 --> 0:41:40.964
<v Speaker 1>and that you and I can continue making this show

0:41:41.004 --> 0:41:45.244
<v Speaker 1>together because we're both continuing to be lucky and yet

0:41:45.644 --> 0:41:48.364
<v Speaker 1>take plus evy edges whenever we can.

0:41:49.404 --> 0:41:51.444
<v Speaker 3>Thank you so much, Maria, and you know maybe if

0:41:51.484 --> 0:41:53.084
<v Speaker 3>you want to have you on the show again sometime.

0:41:53.804 --> 0:41:55.404
<v Speaker 2>You know, I had a lot of fun. We have

0:41:55.444 --> 0:41:56.044
<v Speaker 2>good chemistry.

0:41:56.084 --> 0:41:59.604
<v Speaker 1>I think, I agree, I agree. So yeah, you're you're

0:41:59.644 --> 0:42:01.404
<v Speaker 1>welcome back. How's next week looking for you?

0:42:01.764 --> 0:42:04.644
<v Speaker 2>Actually really fucking busy, but we'll make it work, all right.

0:42:04.724 --> 0:42:09.604
<v Speaker 1>Sounds good, sounds good, Thanks so much, Nate. Oh, by

0:42:09.604 --> 0:42:12.084
<v Speaker 1>the way, before you go, last week, Nate and I

0:42:12.164 --> 0:42:17.124
<v Speaker 1>recorded a special video only podcast where we talked about

0:42:17.404 --> 0:42:20.924
<v Speaker 1>Kamala's pick of Walls as her VP. So you can

0:42:20.964 --> 0:42:24.324
<v Speaker 1>find that on our YouTube channel. We hope you enjoy it.

0:42:35.044 --> 0:42:37.844
<v Speaker 3>Risky Business is hosted by me Nate Silver and me

0:42:38.044 --> 0:42:40.764
<v Speaker 3>Maria Kanakova. The show was a co production of Pushkin

0:42:40.764 --> 0:42:45.124
<v Speaker 3>Industries and iHeartMedia. This episode was produced by Isabel Carterer.

0:42:45.484 --> 0:42:49.324
<v Speaker 3>Our associate producer is Gabriel hunter Chen. Our engineer is

0:42:49.364 --> 0:42:52.564
<v Speaker 3>Sarah Bruger. Our executive producer is Jacob Goldstein.

0:42:53.324 --> 0:42:55.084
<v Speaker 1>If you want to listen to an AD free version,

0:42:55.164 --> 0:42:57.844
<v Speaker 1>sign up for Pushkin Plus for six ninety nine a month.

0:42:57.964 --> 0:43:00.804
<v Speaker 1>You get access to ad free listening. Thanks for tuning

0:43:00.804 --> 0:43:00.924
<v Speaker 1>in

0:43:10.404 --> 0:43:12.564
<v Speaker 3>At don bom my FA