WEBVTT

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OK, let's unpack this. I want you to imagine

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a character for a second. And if you saw this

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guy in a movie, you'd probably think, you know,

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the screenwriters were trying a little too hard.

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A bit over the top. Yeah, exactly. He is at the

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same time considered one of the hottest thinkers

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in the world by the mainstream press. And that's

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a direct quote from The Times. And yet this is

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the very same guy who explicitly and loudly calls

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for the the discontinuation of the Nobel Prize

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in economics. It's a contradiction right out

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of the gate, isn't it? It gets so much better.

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He's a trader who made what he technically calls

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fuck you money. And you have to excuse the language,

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but we're quoting the man himself by betting

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on the world falling apart. So he gets rich when

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everyone else is, well, panicking. Panicking,

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crying, losing their homes. But he's not just

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some greedy Gordon Gekko type. He's also a scholar

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who, you know. reads Aramaic and Canaanite script

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for fun. He lifts heavy weights, he refuses to

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eat sugar, and he gets into these epic Twitter

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fights with Nobel laureates. It is quite the

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juxtaposition. We are talking, of course, about

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Nassim Nicholas Taleb. And you're right. He occupies

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this very strange, almost unclaimed space in

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the intellectual world. I mean, he isn't just

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an academic. In fact, he sort of despises the

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academic establishment. Well, he hates it. And

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he certainly isn't just a Wall Street guy, even

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though he completely beat Wall Street at its

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own game. If you look at how he describes himself,

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he uses these interesting terms, mathematical

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statistician. aphorist and my personal favorite

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epistemologist of randomness epistemologist of

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randomness yeah that really sounds like a job

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title you make up to stop people from asking

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what you do at a party You know, oh, me, I'm

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just an epistemologist of randomness. Could you

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pass the shrimp? Right. But in his case, it's

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actually incredibly accurate, isn't it? It is.

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It's technically precise. Epistemology is the

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study of knowledge. It's how we know what we

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know. So he studies how we know things or maybe

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more importantly, how we don't know things, specifically

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when it comes to luck and uncertainty and, you

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know, chaos. And the reason we're doing the deep

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dive on him today isn't just because he has a

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fancy title or wrote some massive bestsellers.

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It's because the stakes of his idea. are, well,

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they're incredibly high. This is the man credited

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with predicting the 2008 financial crisis. And

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we really have to be clear about that. It wasn't

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just predicting it in the way a pundit on TV

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says, oh, the market looks a little frothy. Right,

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like a weatherman saying it might rain next week.

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No, this is different. He actually put his money

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where his mouth was and made a literal fortune

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from it while everyone else was losing their

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shirts. Exactly. And that is the hook, really.

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We live in a world that feels increasingly chaotic.

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We have pandemics, market crashes, political

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upheavals, supply chain collapses. It just goes

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on. Cullib's entire philosophy, which he calls

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the inserto, is essentially a roadmap for navigating

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that very chaos. But, and we have to be honest

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here, he is also a deeply polarizing figure.

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This is the guy who called famous economists

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idiots and suggested bankers need, quote, punishment.

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He does not mince words. Oh, absolutely not.

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And we are definitely going to get into the beefs.

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I have to say the section on his feuds is my

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favorite part of our research stack. It's like

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intellectual pro wrestling. It really is. But

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before we get to the name calling, we need to

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sort of frame the mission of this deep dive.

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If you're listening to this, you've. almost certainly

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heard the term black swan. Oh, yeah. It's everywhere.

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It's become such a buzzword that corporate managers

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use it to excuse missing their quarterly targets.

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You know, oh, we missed our sales numbers. It

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was a black swan event. Which is, more often

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than not, a complete misuse of the concept. And

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it drives Taleb absolutely crazy. But we'll get

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to that. The goal today is to move beyond the

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buzzwords. We want to help you, the learner,

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understand the underlying philosophy of the inserto.

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We're going to look at how to build robustness,

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as he calls it, in your own life. We're going

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to talk about why, according to Taleb, you might

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be exercising all wrong or investing all wrong.

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And we're going to try to answer the big question.

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How do you live in a world you don't and really

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can't understand? And to do that, we have a massive

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stack of sources. We're pulling from his biography.

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We're looking at the entire inserto book series

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that's Fooled by Randomness, The Black Swan,

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Anti -Fragile, Skin in the Game, and his book

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of aphorisms, The Bed of Procrustes. Plus we've

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got his technical papers, you know, the ones

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with all the heavy math and the public records

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of his many, many arguments. It's a pretty comprehensive

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look at a very complex man. And to really understand

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the philosophy, you have to understand where

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it came from. Because Taleb's obsession with

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the unexpected, with randomness, it didn't start

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on a trading floor in New York. No, it started

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in the Levant. Exactly. OK, so let's rewind.

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Segment one, the origin story. Nassim Nicholas

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Taleb was born in 1960 in a town called Amayoun

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in Lebanon. And looking at his family background,

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we aren't talking about a humble beginning here.

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This is, for all intents and purposes, aristocracy.

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Very much so. His family was wealthy, they were

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influential, and they were part of the Greek

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Orthodox Christian community. And if you look

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at the lineage, it's pretty impressive. His maternal

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grandfather, Fuad Nicholas Ghosn, and his great

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-grandfather, Nicholas Ghosn, were both deputy

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prime ministers of Lebanon. Deputy prime ministers.

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I mean, that's serious power. That's the kind

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of family where you grow up assuming the world

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is basically yours to shape and that the structures

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all around you are rock solid. And it goes even

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deeper. His paternal grandfather was a Supreme

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Court judge. His great, great, great, great grandfather,

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I think I got that right, four greats, was on

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the board of directors to the administrator of

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Mount Lebanon. So, you know, young Nassim grows

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up in this environment of immense stability,

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prestige, and a French education. He went to

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the Grand Lycée, Franco -Libanais, and Beirut.

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So just picture this for a moment. You're this

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kid in a hugely prominent family. Everything

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seems permanent. You have the status. You have

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the money. You have the history. You're living

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in Beirut, which at the time was literally called

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the Paris of the Middle East. It was cosmopolitan,

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cultured, safe. And then 1975 happens. The Lebanese

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Civil War. This is the first black swan in Taleb's

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life, even if he didn't have that term for it

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yet. The war begins, and it essentially reduces

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his family's political prominence and their wealth

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to, well, to rubble. It's really hard to overstate

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how shocking that must have been, to go from

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being part of the reeling class, living in a

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mansion, to a war zone almost overnight. And

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this is absolutely crucial for understanding

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his entire worldview. Most of us in the West,

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especially in the late 20th century, we grew

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up with a sense of gradualism. You know, the

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idea that things change slowly, that the future

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will look pretty much like the past just with

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better phones. Taleb's formative experience was

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the exact opposite. It was that the established

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order can be dismantled overnight by a sudden

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unexpected event. The entire structure of society

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was, in his eyes, incredibly fragile. So the

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lesson he learned at 15 wasn't from a textbook.

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It was that stability is often just an illusion.

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Precisely. And he realized that the people in

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charge, the politicians, the experts, the people

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just like his grandfather, they didn't see it

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coming. They were all very confident, but they

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were all wrong. That seems to be the seed of

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everything that comes later. But despite the

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war, he clearly kept up with his studies. I mean,

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the man is a walking encyclopedia. He is a polyglot

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scholar in the truest sense of the word. He has

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a bachelor and master of science from the University

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of Paris. He gets an MBA from Wharton, which

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he got in 1983. And then much later, he goes

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back and gets a PhD in management science from

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the University of Paris Dauphine. But beyond

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all the degrees, it's the languages that really

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stand out to me. Yeah, the list is intimidating.

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He's fluent in French, English, and classical

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Arabic. But then the source material says he

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also speaks Italian and Spanish. And he reads,

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get this Greek, Latin, Aramaic, ancient Hebrew,

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and Canaanite script. Why? I mean, why the obsession

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with dead languages? Is he just showing off,

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look at me, I can read the Rosetta Stone. I don't

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think it's just a parlor trick. That linguistic

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depth that really informs his philosophy. Taleb

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has a deep preference for classical wisdom, you

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know, the stuff that has survived for thousands

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of years over modern theory. Okay, that makes

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sense. When you can read the original texts of

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the ancients in their own scripts, you get a

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very different perspective on risk and human

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nature than if you're just, say, reading a modern

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summary in a business book. He sees the continuity

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of human folly. He believes that the ancients,

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like the Stoics or even Babylonian merchants,

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understood how to deal with randomness far better

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than modern economists do. Because they lived

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in a world where, I don't know, death was around

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every corner. Exactly. They didn't have insurance

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companies or central banks to bail them out.

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They had to be robust. If a storm hit your ship,

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you lost everything, period. So they structured

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their lives and their businesses differently.

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Taleb connects more with a Roman senator than

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he does with a modern day trader. So he's got

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this classical education. He's got this war -torn

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background. And then he heads to Wall Street.

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This is where the rubber really meets the road.

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He starts working as a trader. Right. And he

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wasn't at some small firm. He worked at major

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institutions. Credit Suisse, First Boston, BNP

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Paribas, the Chicago Mercantile Exchange. He

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was a pit trader, an options trader. He was in

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the trenches. And this is where he started to

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see that the math that everyone was using to

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predict the markets was, in his view, fundamentally

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broken. And he proved it in a big way in 1987.

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Black Monday. This was his breakout moment. While

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everyone else was likely following the sophisticated

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models that said a crash of that magnitude was

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statistically impossible. I mean, literally something

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that shouldn't happen in a billion years. Taleb

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was holding a hedged short euro dollar position.

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OK, in plain English, because hedged short euro

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dollar position. Right. Sounds like complete

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gibberish to most of us. Yeah, fair enough. Basically,

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he was betting that things would go very, very

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wrong. He bought options that were incredibly

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cheap because the consensus was the market is

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stable, nothing bad will happen. So he bought

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these dirt cheap options, pennies on the dollar,

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that would pay out massively if and only if the

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market crashed. He was betting on chaos. And

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then chaos arrived. It did. When the market crashed,

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he reportedly became financially independent

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from that one event. That trade gave him what

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he calls freedom from authority. He never had

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to answer to a boss again. That is the absolute

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dream, isn't it? To have enough money that you

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can say whatever you really think without ever

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worrying about being fired. But he didn't just

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stop there. He started his own fund, Empirica

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Capital, in 1999. And then, of course, we hit

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the dot -com bubble. And again, the same pattern

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repeats itself. In 2000, when the bubble finally

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burst and the Nasdaq just took a nosedive, his

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fund, Empirica Kratosis LLC, made a 56 .86 %

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return. While everyone else was losing their

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shirts because they thought tech stocks could

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only go up, remember Pets .com, Ebb was positioned

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for the crash. Kratosis? It's a statistical term,

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right? It's not just a cool name. It is. It refers

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to the tails of a distribution curve. We'll get

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into fat tails later on. But basically, he named

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his fund after the very statistical concept that

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everyone else was ignoring. This idea that extreme

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events happen way more often than we think. And

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then, of course, the big one, the 2008 financial

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crisis. By this time, he's not running his own

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fund, but he's an advisor to a fund called Universa

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Investment. Correct. And he advised them on a

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strategy that was explicitly based on his black

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swan idea. In October of 2008, when the entire

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global financial system was melting down, some

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of Universa's funds returned between 65 % and

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115%. In one month. That is astronomical. While

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the S &amp;P is tanking, they're literally doubling

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their money. It's incredible. And it totally

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cemented his reputation. But what's so fascinating

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is Taleb's attitude about it. He didn't just

00:12:00.879 --> 00:12:03.720
want to be some rich hedge fund guy. He claimed

00:12:03.720 --> 00:12:05.980
back in 2007 that he was retiring from trading

00:12:05.980 --> 00:12:08.679
to be a full -time author. He considers himself

00:12:08.679 --> 00:12:12.460
an epistemologist, not a businessman. He just

00:12:12.460 --> 00:12:14.879
used trading to buy his freedom so he could sit

00:12:14.879 --> 00:12:17.200
around and think about randomness without having

00:12:17.200 --> 00:12:20.240
to sell anything to anyone. Which brings us perfectly

00:12:20.240 --> 00:12:24.259
to segment two, the inserto. This is the body

00:12:24.259 --> 00:12:26.700
of work that he created with that freedom. And

00:12:26.700 --> 00:12:28.639
the source material is very specific. This isn't

00:12:28.639 --> 00:12:30.460
just five separate books that happen to be by

00:12:30.460 --> 00:12:32.500
the same author. No, not at all. You have to

00:12:32.500 --> 00:12:35.480
view them as chapters in a single giant book.

00:12:35.559 --> 00:12:38.159
It's a five volume philosophical essay on uncertainty.

00:12:38.480 --> 00:12:40.899
The central theme connecting all of them is how

00:12:40.899 --> 00:12:42.799
do we live in a world that we don't understand?

00:12:43.080 --> 00:12:45.139
So let's break down the core concepts. The most

00:12:45.139 --> 00:12:47.500
famous one, obviously, is the black swan. What

00:12:47.500 --> 00:12:49.639
is the actual technical definition here? Because

00:12:49.639 --> 00:12:51.320
like we said, people use it for everything. My

00:12:51.320 --> 00:12:53.340
coffee spilled this morning is a black swan.

00:12:53.340 --> 00:12:55.100
Right. That's not a black swan. That's just you

00:12:55.100 --> 00:12:58.179
being clumsy. A black swan is an event that has

00:12:58.179 --> 00:13:01.759
three very specific attributes. First, it is

00:13:01.759 --> 00:13:04.279
an outlier. It lies way outside the realm of

00:13:04.279 --> 00:13:07.100
regular expectations because nothing in the past

00:13:07.100 --> 00:13:10.419
can convincingly point to its possibility. So

00:13:10.419 --> 00:13:12.360
you can't predict it just by looking at a chart

00:13:12.360 --> 00:13:14.419
of what happened last year. Exactly. I mean,

00:13:14.419 --> 00:13:16.159
if you look at a chart of the stock market from

00:13:16.159 --> 00:13:19.379
2000 to 2007, you just see the steady growth.

00:13:19.559 --> 00:13:21.639
There is nothing in that chart that predicts

00:13:21.639 --> 00:13:24.549
what happens in 2008. The second attribute is

00:13:24.549 --> 00:13:27.750
that the event carries an extreme impact, massive

00:13:27.750 --> 00:13:30.450
consequences. It changes the game entirely. And

00:13:30.450 --> 00:13:32.690
the third. The third, and this is the really

00:13:32.690 --> 00:13:35.570
psychological part, is that despite its outlier

00:13:35.570 --> 00:13:38.610
status, our human nature makes us concoct explanations

00:13:38.610 --> 00:13:41.470
for its occurrence after the fact, which makes

00:13:41.470 --> 00:13:44.090
it seem explainable and predictable in hindsight.

00:13:44.370 --> 00:13:46.149
That third one is the real kicker, isn't it?

00:13:46.230 --> 00:13:48.669
We look back at 2008 or the dot -com bubble and

00:13:48.669 --> 00:13:50.830
we say, oh, well, obviously housing prices were

00:13:50.830 --> 00:13:52.769
too high or, of course, that startup. with no

00:13:52.769 --> 00:13:55.090
revenue was going to fail. But we didn't see

00:13:55.090 --> 00:13:58.250
it coming. We rationalize the chaos. We suffer

00:13:58.250 --> 00:14:00.929
from what he calls the narrative fallacy. We

00:14:00.929 --> 00:14:03.190
just love stories. We want the world to make

00:14:03.190 --> 00:14:05.529
sense. So we write a history that makes the crash

00:14:05.529 --> 00:14:08.909
look inevitable. Taleb's big argument is that

00:14:08.909 --> 00:14:11.429
the standard risk models used in finance and

00:14:11.429 --> 00:14:13.990
really in all parts of life, they completely

00:14:13.990 --> 00:14:17.129
ignore these events. They use Belker's or Gaussian

00:14:17.129 --> 00:14:19.389
distributions that assume extreme events are

00:14:19.389 --> 00:14:22.389
virtually impossible. Taleb says, no, the extreme

00:14:22.389 --> 00:14:24.210
events are the only ones that really matter.

00:14:24.330 --> 00:14:26.250
And this leads. another one of his great terms

00:14:26.250 --> 00:14:30.129
the ludic fallacy yes ludic comes from the latin

00:14:30.129 --> 00:14:32.750
word for games paleb argues that we constantly

00:14:32.750 --> 00:14:35.669
mistake structured randomness like what you find

00:14:35.669 --> 00:14:38.789
in a casino for real world randomness in a casino

00:14:38.789 --> 00:14:41.149
you know the odds you know there are 52 cards

00:14:41.149 --> 00:14:43.549
in a deck you know the rules of roulette it's

00:14:43.549 --> 00:14:46.990
risky sure but it's computable risk but the real

00:14:46.990 --> 00:14:50.080
world is not a casino Not even close. In the

00:14:50.080 --> 00:14:51.820
real world, you don't know the rules. You don't

00:14:51.820 --> 00:14:53.259
know how many cards are in the deck. You don't

00:14:53.259 --> 00:14:54.759
even know if you're playing cards or some other

00:14:54.759 --> 00:14:57.340
game. The dark side of the moon is harder to

00:14:57.340 --> 00:15:00.840
see. Taleb has this fantastic quote. The dark

00:15:00.840 --> 00:15:03.120
side of the moon is harder to see. Beaming light

00:15:03.120 --> 00:15:06.659
on it costs energy. We prefer the well -lit room

00:15:06.659 --> 00:15:08.820
of the casino because the math is easy and clean,

00:15:09.039 --> 00:15:11.519
but reality is what's happening in the dark alley

00:15:11.519 --> 00:15:13.539
outside. I love that. We're all sitting here

00:15:13.539 --> 00:15:16.779
playing poker, but the universe is playing, I

00:15:16.779 --> 00:15:19.320
don't know, Calvin Ball. Or it's just about to

00:15:19.320 --> 00:15:22.299
drop a piano on the table. Okay, let's move to

00:15:22.299 --> 00:15:24.080
the next big concept, which I think is actually

00:15:24.080 --> 00:15:27.320
his most profound, anti -fragile. This is such

00:15:27.320 --> 00:15:29.440
a critical distinction, and it's probably the

00:15:29.440 --> 00:15:32.440
most useful one for our listeners. Most people

00:15:32.440 --> 00:15:35.259
think the opposite of fragile is robust or maybe

00:15:35.259 --> 00:15:39.879
resilient. But Taleb says no. If you drop a glass

00:15:39.879 --> 00:15:42.679
package, it shatters. That's fragile. If you

00:15:42.679 --> 00:15:44.759
drop a plastic package, it doesn't break. That's

00:15:44.759 --> 00:15:46.889
robust. But it doesn't get better from being

00:15:46.889 --> 00:15:48.970
dropped. Right. It just survives. It stays the

00:15:48.970 --> 00:15:51.330
same. Anti -fragile is something that actively

00:15:51.330 --> 00:15:53.970
benefits from volatility, disorder, and stress.

00:15:54.409 --> 00:15:57.289
It's the package that if you drop it, it somehow

00:15:57.289 --> 00:16:00.110
turns into a better, stronger package. Which

00:16:00.110 --> 00:16:02.549
on the surface sounds like magic or maybe science

00:16:02.549 --> 00:16:05.230
fiction. How can something get better from being

00:16:05.230 --> 00:16:07.690
damaged? Well, he uses biological systems as

00:16:07.690 --> 00:16:09.570
the prime example. Think about your muscles.

00:16:10.059 --> 00:16:11.799
If you go to the gym and you stress your muscles,

00:16:11.960 --> 00:16:14.059
you're literally damaging the fibers, creating

00:16:14.059 --> 00:16:16.639
micro tears. They don't just heal back to where

00:16:16.639 --> 00:16:19.720
they were before. They grow stronger. They overcompensate.

00:16:19.740 --> 00:16:22.179
That is a fundamentally anti -fragile system.

00:16:22.340 --> 00:16:24.299
Okay, that makes perfect sense. Evolution itself

00:16:24.299 --> 00:16:27.039
is anti -fragile. Individual animals die. That's

00:16:27.039 --> 00:16:29.980
fragility. But the species as a whole gets better

00:16:29.980 --> 00:16:32.299
because the weak are weeded out. So anti -fragility

00:16:32.299 --> 00:16:35.379
requires some level of pain or stress or failure

00:16:35.379 --> 00:16:37.879
to work. It does. And he applies this to economics,

00:16:38.019 --> 00:16:40.740
too. He argues that we keep trying to smooth

00:16:40.740 --> 00:16:43.559
out the economy. We bail out the banks. We try

00:16:43.559 --> 00:16:45.759
to stop every recession. We keep interest rates

00:16:45.759 --> 00:16:48.399
at zero. But in doing so, we're actually making

00:16:48.399 --> 00:16:51.919
the entire system more fragile. We're stopping

00:16:51.919 --> 00:16:54.519
the muscle tearing that needs to happen for the

00:16:54.519 --> 00:16:56.480
system to get stronger. It's like stopping a

00:16:56.480 --> 00:16:58.679
forest fire. Yeah. If you put out every single

00:16:58.679 --> 00:17:01.919
small fire, you eventually build up so much dry

00:17:01.919 --> 00:17:04.920
wood that when a fire finally does happen, it

00:17:04.920 --> 00:17:07.630
burns. continent down. That is a perfect analogy.

00:17:07.990 --> 00:17:10.690
By suppressing volatility we prevent the system

00:17:10.690 --> 00:17:12.950
from learning. We create this powder keg situation

00:17:12.950 --> 00:17:15.670
where instead of having a lot of small manageable

00:17:15.670 --> 00:17:19.109
corrections we eventually get one massive catastrophic

00:17:19.109 --> 00:17:22.309
explosion. Next concept up. Skin in the game.

00:17:22.730 --> 00:17:26.390
This one feels almost political or ethical. Oh

00:17:26.390 --> 00:17:28.529
it's deeply ethical. The central rule is that

00:17:28.529 --> 00:17:30.230
decision makers must bear the risks of their

00:17:30.230 --> 00:17:32.799
own decisions. It's that simple. In the past,

00:17:32.859 --> 00:17:34.920
a general who wanted to start a war had to lead

00:17:34.920 --> 00:17:36.680
his troops into battle. If he made a bad decision,

00:17:36.920 --> 00:17:40.160
he might die. That is skin in the game. An architect

00:17:40.160 --> 00:17:43.480
in ancient Babylon, under Hammurabi's code, if

00:17:43.480 --> 00:17:45.599
he built a house and it collapsed and killed

00:17:45.599 --> 00:17:47.559
the owner, the architect was put to death. Talk

00:17:47.559 --> 00:17:49.579
about accountability. I mean, that would certainly

00:17:49.579 --> 00:17:52.000
change how condos are built today. Wouldn't it?

00:17:52.099 --> 00:17:56.700
But today, we have a huge problem. We have bureaucrats

00:17:56.700 --> 00:17:59.019
and bankers who can crash the entire economy

00:17:59.019 --> 00:18:02.109
or start a war. And if it goes wrong... They

00:18:02.109 --> 00:18:04.089
still get their bonus. They still get their pension.

00:18:04.250 --> 00:18:06.150
They might even get a lucrative speaking tour

00:18:06.150 --> 00:18:08.269
out of it. It's the Bob Rubin trade, right? The

00:18:08.269 --> 00:18:11.529
old joke, heads I win, tails you lose. Exactly.

00:18:12.109 --> 00:18:15.329
Taleb argues that this asymmetry. Keeping the

00:18:15.329 --> 00:18:17.329
upside for yourself but transferring the downside

00:18:17.329 --> 00:18:20.210
to other people, to taxpayers, is what creates

00:18:20.210 --> 00:18:22.750
these incredibly fragile systems. If you don't

00:18:22.750 --> 00:18:24.789
pay a penalty for your errors, you never learn,

00:18:24.910 --> 00:18:26.950
and you just keep taking more and more dangerous

00:18:26.950 --> 00:18:30.130
risks. He despises that class of people, the

00:18:30.130 --> 00:18:32.789
interventionistas, who mess with complex systems

00:18:32.789 --> 00:18:34.930
without suffering the consequences of their own

00:18:34.930 --> 00:18:37.250
mistakes. Then we have Fool by Randomness, which

00:18:37.250 --> 00:18:40.250
was his first non -technical book. This is really

00:18:40.250 --> 00:18:42.730
the foundation of the whole thing. The core error

00:18:42.730 --> 00:18:45.150
he's pointing out is that we consistently underestimate

00:18:45.150 --> 00:18:48.309
the role of luck. We see a successful trader

00:18:48.309 --> 00:18:52.349
or a CEO and our first instinct is to think genius.

00:18:52.630 --> 00:18:55.779
We think visionary. But in a random environment,

00:18:56.140 --> 00:18:58.420
someone is bound to get lucky. If you have 10

00:18:58.420 --> 00:19:01.400
,000 monkeys flipping coins, one of them is eventually

00:19:01.400 --> 00:19:03.940
going to flip heads 20 times in a row. And then

00:19:03.940 --> 00:19:05.839
the media will rush to interview that monkey

00:19:05.839 --> 00:19:08.019
and ask him about his coin flipping technique.

00:19:08.359 --> 00:19:10.420
Precisely. And the monkey will write a book called

00:19:10.420 --> 00:19:13.339
The 20 Principles of Heads. Taleb says we need

00:19:13.339 --> 00:19:15.759
to have a bit more humility. We attribute success

00:19:15.759 --> 00:19:18.259
to skill when it might just be survivorship bias.

00:19:18.700 --> 00:19:21.579
And finally, from the inserto, we have The Bed

00:19:21.579 --> 00:19:24.819
of Procrustes. and this is his book of aphorisms

00:19:24.819 --> 00:19:28.299
the metaphor comes from greek mythology procrestes

00:19:28.299 --> 00:19:30.839
was this innkeeper who had a special bed He wanted

00:19:30.839 --> 00:19:32.960
every single guest to fit that bed perfectly.

00:19:33.319 --> 00:19:35.559
So if a guest was too short, he'd stretch them

00:19:35.559 --> 00:19:37.759
on a rack. If they were too tall, he'd chop off

00:19:37.759 --> 00:19:40.900
their legs. Ouch. That's vivid. It is. And Taleb

00:19:40.900 --> 00:19:44.059
says we do this with ideas. We squeeze the messy,

00:19:44.220 --> 00:19:47.920
complex reality of life into our crisp, commoditized

00:19:47.920 --> 00:19:51.380
ideas and our neat little models. We try to change

00:19:51.380 --> 00:19:53.900
the territory to fit the map rather than changing

00:19:53.900 --> 00:19:56.779
the map to fit the territory. We want the world

00:19:56.779 --> 00:19:58.900
to fit into our Excel spreadsheets. And when

00:19:58.900 --> 00:20:01.279
it doesn't, we try to force it. It's such a powerful

00:20:01.279 --> 00:20:03.799
image. We're chopping off the legs of reality

00:20:03.799 --> 00:20:05.960
to make it fit into our preconceived notions.

00:20:06.420 --> 00:20:09.299
Okay, so that's the philosophy. But Taleb is

00:20:09.299 --> 00:20:11.900
also a guy who talks about how to live your life.

00:20:12.119 --> 00:20:14.819
This isn't just abstract theory for him. Segment

00:20:14.819 --> 00:20:17.839
three, practical applications. He has this concept

00:20:17.839 --> 00:20:20.599
he called the barbell strategy. And this is really

00:20:20.599 --> 00:20:22.720
how you apply the inserto to your actual life.

00:20:22.900 --> 00:20:25.440
The premise is that medium risk is a trap. We're

00:20:25.440 --> 00:20:28.160
always taught to be balanced, to diversify into

00:20:28.160 --> 00:20:31.180
moderate investments. Taleb says this is incredibly

00:20:31.180 --> 00:20:33.400
dangerous because the risk of those medium investments

00:20:33.400 --> 00:20:36.720
is fundamentally uncomputable. A safe blue chip

00:20:36.720 --> 00:20:39.279
stock can still go to zero in a black swan event.

00:20:39.519 --> 00:20:42.420
Think Enlon or Lehman Brothers or Kodak. So what's

00:20:42.420 --> 00:20:44.599
the barbell then? How does that work? You avoid

00:20:44.599 --> 00:20:46.940
the middle entirely. You are hyper conservative

00:20:46.940 --> 00:20:49.160
and hyper aggressive at the exact same time.

00:20:49.230 --> 00:20:51.549
So in finance, he suggests putting something

00:20:51.549 --> 00:20:54.890
like 80 to 90 percent of your assets in extremely

00:20:54.890 --> 00:20:57.970
safe instruments like treasury bills, stuff that

00:20:57.970 --> 00:21:00.910
simply cannot lose money unless the entire government

00:21:00.910 --> 00:21:03.609
collapses. That sounds incredibly boring. And

00:21:03.609 --> 00:21:05.210
with inflation, aren't you technically losing

00:21:05.210 --> 00:21:07.910
money? It is boring. And yes, you might lose

00:21:07.910 --> 00:21:09.869
a little bit to inflation, but the key is you

00:21:09.869 --> 00:21:12.789
are safe. You cannot be ruined. Then you take

00:21:12.789 --> 00:21:15.009
the remaining 10 to 20 percent and you put it

00:21:15.009 --> 00:21:18.069
into highly risky diversified speculative bets.

00:21:18.579 --> 00:21:20.779
Things with a limited downside. The most you

00:21:20.779 --> 00:21:23.740
can lose is that 10%, but an unlimited upside,

00:21:23.940 --> 00:21:26.319
like venture capital or buying out of the money

00:21:26.319 --> 00:21:28.859
options. So if a market crashes, your big 90

00:21:28.859 --> 00:21:31.000
% chunk is safe. Yeah. And if the market explodes

00:21:31.000 --> 00:21:33.039
upward or you happen to catch a positive black

00:21:33.039 --> 00:21:35.720
swan, your little 10 % chunk makes you a fortune.

00:21:35.940 --> 00:21:38.359
Exactly. You cap your losses, but you expose

00:21:38.359 --> 00:21:40.900
yourself to positive black swans. You completely

00:21:40.900 --> 00:21:43.839
remove the risk of ruin. The middle, putting

00:21:43.839 --> 00:21:46.900
everything into, say, the S &amp;P 500, leaves you

00:21:46.900 --> 00:21:49.279
exposed to a... 50 % ROP if the market crashes.

00:21:49.539 --> 00:21:52.380
The barbell protects you from that. And he applies

00:21:52.380 --> 00:21:54.319
this to health and fitness too, which I find

00:21:54.319 --> 00:21:57.380
completely fascinating. He thinks most of us

00:21:57.380 --> 00:21:59.779
are exercising wrong. He does. He absolutely

00:21:59.779 --> 00:22:04.599
hates steady and moderate exercise. So no jogging

00:22:04.599 --> 00:22:07.099
on a treadmill for 45 minutes at a medium pace.

00:22:07.319 --> 00:22:10.240
He says humans evolved for random environments.

00:22:10.599 --> 00:22:13.460
We spent most of our time walking slowly, gathering

00:22:13.460 --> 00:22:16.640
food. That's a low effort activity. And then

00:22:16.640 --> 00:22:19.119
occasionally a lion jumps out of the bushes and

00:22:19.119 --> 00:22:21.519
we have to sprint for our lives. That's an extreme

00:22:21.519 --> 00:22:24.559
effort. So the barbell for fitness is walk a

00:22:24.559 --> 00:22:26.740
lot and then occasionally lift something incredibly

00:22:26.740 --> 00:22:28.720
heavy or sprint. until you feel like you're going

00:22:28.720 --> 00:22:31.220
to die. Pretty much, yeah. Low effort most of

00:22:31.220 --> 00:22:33.960
the time, punctuated by very intense stress,

00:22:34.059 --> 00:22:36.940
no chronic cardio in the middle. He argues that

00:22:36.940 --> 00:22:39.279
that kind of chronic moderate stress, like jogging

00:22:39.279 --> 00:22:41.299
every day, actually wears the body down without

00:22:41.299 --> 00:22:43.839
giving it the powerful anti -fragile signal it

00:22:43.839 --> 00:22:46.019
needs to build muscle. And he applies the same

00:22:46.019 --> 00:22:48.960
logic to diet, right? He does. He argues that

00:22:48.960 --> 00:22:51.559
modern humans have the steady, constant supply

00:22:51.559 --> 00:22:54.859
of food, three meals a day plus snacks. But our

00:22:54.859 --> 00:22:57.809
ancestors had a very random supply. So he looks

00:22:57.809 --> 00:23:00.670
at the frequency of eating. Intermittent fasting

00:23:00.670 --> 00:23:03.150
fits his model perfectly. You have periods of

00:23:03.150 --> 00:23:06.170
feast and periods of famine. Not a steady drip

00:23:06.170 --> 00:23:09.230
of snacking all day. It's also consistent. Avoid

00:23:09.230 --> 00:23:12.740
the steady state. Embrace the extremes. And this

00:23:12.740 --> 00:23:15.279
leads right into his view on innovation, which

00:23:15.279 --> 00:23:18.099
he calls convex tinkering. He believes that,

00:23:18.160 --> 00:23:21.420
quote, decentralized experimentation outperforms

00:23:21.420 --> 00:23:23.460
directed research. He has a great line about

00:23:23.460 --> 00:23:26.359
birds, something like models are like lecturing

00:23:26.359 --> 00:23:29.160
birds on how to fly. That's the one. Birds flew

00:23:29.160 --> 00:23:31.140
for millions of years before anyone understood

00:23:31.140 --> 00:23:34.000
the principles of aerodynamics. We solve problems

00:23:34.000 --> 00:23:36.799
by doing, by tinkering, by trial and error, not

00:23:36.799 --> 00:23:39.319
by theorizing in a classroom. The theory usually

00:23:39.319 --> 00:23:41.579
comes after the invention to explain why it worked.

00:23:41.799 --> 00:23:43.799
The steam engine wasn't invented by a physicist

00:23:43.799 --> 00:23:46.220
using the laws of thermodynamics. It was invented

00:23:46.220 --> 00:23:48.980
by tinkerers. The laws of thermodynamics came

00:23:48.980 --> 00:23:50.920
later to explain the engine. So if you want to

00:23:50.920 --> 00:23:52.779
invent something, don't write a 50 -page business

00:23:52.779 --> 00:23:55.960
plan. Just start tinkering. Exactly. Be the tinkerer,

00:23:56.019 --> 00:23:58.039
not the lecturer. Okay, so we've established

00:23:58.039 --> 00:24:00.200
the brilliance. Now we need to talk about the

00:24:00.200 --> 00:24:03.700
brawler. Segment four, style, criticism, and

00:24:03.700 --> 00:24:06.900
controversy. Taleb is not a polite academic who

00:24:06.900 --> 00:24:10.299
sips tea and nods thoughtfully. He is, well,

00:24:10.380 --> 00:24:13.130
he's aggressive. That is putting it mildly. He

00:24:13.130 --> 00:24:15.750
describes his own writing style as mixing semi

00:24:15.750 --> 00:24:17.950
-autobiographical narrative with philosophical

00:24:17.950 --> 00:24:21.420
tales. But his public persona is known for these

00:24:21.420 --> 00:24:24.440
incredibly harsh personal attacks. He doesn't

00:24:24.440 --> 00:24:27.579
suffer fools gladly, and he defines fool very,

00:24:27.680 --> 00:24:29.559
very broadly. Let's just look at the list of

00:24:29.559 --> 00:24:31.359
targets. Bankers are obviously high on that list.

00:24:31.400 --> 00:24:33.599
Oh, absolutely. At the World Economic Forum in

00:24:33.599 --> 00:24:36.579
Davos in 2009, which he derisively calls the

00:24:36.579 --> 00:24:39.519
International Association of Name Droppers, he

00:24:39.519 --> 00:24:41.700
stood up on stage and said he was happy that

00:24:41.700 --> 00:24:43.940
Lehman Brothers had collapsed. I mean, can you

00:24:43.940 --> 00:24:45.819
imagine saying that in a room full of bankers?

00:24:45.920 --> 00:24:47.759
That's like walking into a funeral and saying

00:24:47.759 --> 00:24:50.440
you're glad the guy is dead. He suggested bankers

00:24:50.440 --> 00:24:52.720
need punishment to prevent recklessness in the

00:24:52.720 --> 00:24:55.660
future. He believes the whole bailout culture

00:24:55.660 --> 00:24:58.619
is fundamentally immoral because it removes skin

00:24:58.619 --> 00:25:01.160
in the game. He basically looked them in the

00:25:01.160 --> 00:25:02.900
eye and told them they were parasites on the

00:25:02.900 --> 00:25:05.380
economy. And he hates economists. With an absolute

00:25:05.380 --> 00:25:08.359
passion. He has called them idiots and said They

00:25:08.359 --> 00:25:11.720
cause more crises than they solve. He specifically

00:25:11.720 --> 00:25:14.579
goes after the big names. Larry Summers, Paul

00:25:14.579 --> 00:25:17.539
Krugman, Joseph Stiglitz. He thinks their models

00:25:17.539 --> 00:25:19.700
give a false sense of security that directly

00:25:19.700 --> 00:25:22.339
leads to disaster. He has this term for them.

00:25:23.140 --> 00:25:27.079
IYI. Intellectual yet idiot. People who are brilliant

00:25:27.079 --> 00:25:29.119
in books but have absolutely no common sense

00:25:29.119 --> 00:25:31.440
in the real world. But the biggest feud, the

00:25:31.440 --> 00:25:33.579
real heavyweight title fight, has to be with

00:25:33.579 --> 00:25:36.599
Myron Scholes. Oh, yes. Myron Scholes is a Nobel

00:25:36.599 --> 00:25:38.920
laureate. He co -developed the Black -Scholes

00:25:38.920 --> 00:25:41.319
formula, which is the standard model for pricing

00:25:41.319 --> 00:25:44.339
financial options. It is like the Bible of modern

00:25:44.339 --> 00:25:47.140
finance. Every single trader learns it. And Taleb

00:25:47.140 --> 00:25:49.099
attacked the Bible. He didn't just attack it.

00:25:49.140 --> 00:25:51.220
He basically said Scholes was personally responsible

00:25:51.220 --> 00:25:54.019
for the financial crisis. He said Scholes should

00:25:54.019 --> 00:25:57.079
be in a retirement home doing Sudoku rather than

00:25:57.079 --> 00:26:00.099
lecturing anyone on risk. Doing Sudoku? That

00:26:00.099 --> 00:26:03.460
is so specific. Yeah. So devastating. Taleb and

00:26:03.460 --> 00:26:06.019
his collaborator Espen Hogg wrote this paper

00:26:06.019 --> 00:26:08.519
where they argued that nobody actually uses the

00:26:08.519 --> 00:26:11.119
black skulls formula in the real world of trading.

00:26:11.559 --> 00:26:15.160
They use heuristics, simple rules of thumb. He

00:26:15.160 --> 00:26:17.140
basically told a Nobel Prize winner that his

00:26:17.140 --> 00:26:20.019
entire life's work was irrelevant and dangerous.

00:26:20.440 --> 00:26:22.599
And what was Skoll's response? Yeah. I mean,

00:26:22.660 --> 00:26:24.220
he couldn't have just taken that lying down.

00:26:24.359 --> 00:26:27.299
No. Skoll's retorted that Taleb just. popularizes

00:26:27.299 --> 00:26:30.140
ideas and is making money selling books. He claimed

00:26:30.140 --> 00:26:32.259
that Taleb doesn't cite previous literature and

00:26:32.259 --> 00:26:35.480
isn't taken seriously in academia. But then Taleb

00:26:35.480 --> 00:26:37.799
fired back with a paper listing hundreds of documents

00:26:37.799 --> 00:26:40.339
showing the formula wasn't even derived by schools

00:26:40.339 --> 00:26:42.960
originally. It was just a messy, very public

00:26:42.960 --> 00:26:45.619
intellectual brawl. It really is like watching

00:26:45.619 --> 00:26:48.259
two grandmasters get into a boxing match. He

00:26:48.259 --> 00:26:50.920
also waded into the IQ debate, which is always

00:26:50.920 --> 00:26:53.970
a complete minefield. He did. He published an

00:26:53.970 --> 00:26:57.269
article calling iClue largely a pseudoscientific

00:26:57.269 --> 00:26:59.670
swindle. What's his argument there? Because IQ

00:26:59.670 --> 00:27:01.910
is a pretty well -established concept in psychology.

00:27:02.460 --> 00:27:05.220
His argument is that IQ tests don't really measure

00:27:05.220 --> 00:27:07.980
intelligence. He says they measure absence of

00:27:07.980 --> 00:27:11.299
stupidity or unintelligence. So it can help you

00:27:11.299 --> 00:27:13.359
find people who can't do the job. If you have

00:27:13.359 --> 00:27:15.579
an IQ of 70, you probably can't be a physicist.

00:27:15.859 --> 00:27:18.960
But it doesn't predict high performance. He argues

00:27:18.960 --> 00:27:21.279
that once you get past a certain threshold, a

00:27:21.279 --> 00:27:23.359
higher IQ doesn't really correlate with success

00:27:23.359 --> 00:27:25.559
in the real world. He considers the rankings

00:27:25.559 --> 00:27:27.779
a fraud and has even called them immoral and

00:27:27.779 --> 00:27:30.920
racist. That's a very Taleb take on it. The metric

00:27:30.920 --> 00:27:34.029
you are all using. is a lie. And then there's

00:27:34.029 --> 00:27:36.230
his politics. He seems to be all over the map.

00:27:36.430 --> 00:27:38.730
He is. He dedicated his book Skin in the Game

00:27:38.730 --> 00:27:41.950
to both Ron Paul and Ralph Nader. A libertarian

00:27:41.950 --> 00:27:44.890
and a consumer advocate. That's a very odd couple.

00:27:45.069 --> 00:27:47.089
It makes a certain kind of sense in his framework,

00:27:47.190 --> 00:27:49.789
though. Both of them are anti -establishment

00:27:49.789 --> 00:27:52.829
and both focus on accountability. Nader wants

00:27:52.829 --> 00:27:55.289
corporations to be accountable. Paul wants the

00:27:55.289 --> 00:27:57.769
Federal Reserve to be accountable. But he's not

00:27:57.769 --> 00:28:01.569
a pure libertarian by any means. After the 2022

00:28:01.569 --> 00:28:05.049
invasion of Ukraine, he denounced naive libertarians

00:28:05.049 --> 00:28:08.089
who were soft on Russia. He supported an aggressive

00:28:08.089 --> 00:28:11.049
military response. He just doesn't fit in a neat

00:28:11.049 --> 00:28:13.769
left wing or right wing box. He fits in the insurto

00:28:13.769 --> 00:28:15.869
box. It's clear he doesn't care about being popular.

00:28:16.089 --> 00:28:18.750
He only cares about being robust. But we should

00:28:18.750 --> 00:28:20.269
acknowledge that he isn't just a guy throwing

00:28:20.269 --> 00:28:23.710
insults. He has serious technical chops. Segment

00:28:23.710 --> 00:28:26.660
five, technical contributions. This is really

00:28:26.660 --> 00:28:28.420
important. It's easy to get distracted by the

00:28:28.420 --> 00:28:30.579
Twitter fights and the, you know, the clever

00:28:30.579 --> 00:28:34.460
aphorisms. But Taleb is a mathematical statistician

00:28:34.460 --> 00:28:36.740
at his core. He wrote a technical version of

00:28:36.740 --> 00:28:39.059
the inserto called Statistical Consequences of

00:28:39.059 --> 00:28:41.180
Fat Tales. OK, so let's go back to those fat

00:28:41.180 --> 00:28:43.420
tales. What does that actually mean in a statistical

00:28:43.420 --> 00:28:46.079
sense? So in a normal distribution of bell curve.

00:28:46.680 --> 00:28:48.559
Most of the data points are clustered in the

00:28:48.559 --> 00:28:50.599
middle, in the hump, and the tails, which are

00:28:50.599 --> 00:28:53.599
the extremes, they taper off very quickly. It

00:28:53.599 --> 00:28:56.279
assumes that extreme events are incredibly rare,

00:28:56.420 --> 00:28:58.299
like you will never meet a man who is 10 feet

00:28:58.299 --> 00:29:01.319
tall. Right. Human heights follow a pretty clean

00:29:01.319 --> 00:29:04.339
bell curve. Exactly. But financial markets don't.

00:29:04.339 --> 00:29:07.319
Wealth doesn't. In a fat tail distribution, the

00:29:07.319 --> 00:29:09.880
tails don't taper off. They stay thick. Extreme

00:29:09.880 --> 00:29:12.680
events are much, much more likely than the bell

00:29:12.680 --> 00:29:15.079
curve suggests. You can meet a man who has a

00:29:15.079 --> 00:29:17.200
billion times more money than you do. And he

00:29:17.200 --> 00:29:19.460
has this one data point about the stock market

00:29:19.460 --> 00:29:23.019
that just blew my mind. The 1987 crash. Right.

00:29:23.259 --> 00:29:25.700
He points out that in the real world, a single

00:29:25.700 --> 00:29:28.059
observation can completely determine the properties

00:29:28.059 --> 00:29:31.029
of the whole data set. So he noted that the 1987

00:29:31.029 --> 00:29:34.609
crash, just one single day, determined 80 % of

00:29:34.609 --> 00:29:36.490
the kurtosis, which is a volatility profile,

00:29:36.869 --> 00:29:39.670
for the entire U .S. stock market over a 40 -year

00:29:39.670 --> 00:29:41.789
period. Just think about that for a second. 40

00:29:41.789 --> 00:29:44.089
years of trading data, thousands and thousands

00:29:44.089 --> 00:29:47.069
of days, and 80 % of the entire risk profile

00:29:47.069 --> 00:29:49.730
comes from one single day. That is the essence

00:29:49.730 --> 00:29:52.299
of fat tails. If you ignore that one day, your

00:29:52.299 --> 00:29:55.420
model is absolute garbage. But most models treat

00:29:55.420 --> 00:29:57.700
that day as an outlier, and they just throw it

00:29:57.700 --> 00:29:59.420
out. They say, oh, that was a freak event. Let's

00:29:59.420 --> 00:30:01.480
remove it from the data set so our curve looks

00:30:01.480 --> 00:30:05.180
pretty. Taleb says that day is the model. If

00:30:05.180 --> 00:30:07.539
you remove the crash, you aren't measuring risk

00:30:07.539 --> 00:30:10.400
at all. It's like saying, I'm a great driver

00:30:10.400 --> 00:30:13.019
if you just ignore that one time I drove off

00:30:13.019 --> 00:30:15.519
a cliff. That's a perfect way to put it. And

00:30:15.519 --> 00:30:17.640
he worked with another mathematician, Rafael

00:30:17.640 --> 00:30:20.559
Duarte, on something they called statistical

00:30:20.559 --> 00:30:24.059
undecidability. which sounds very complicated.

00:30:24.339 --> 00:30:27.200
It is, but the core concept is pretty simple.

00:30:27.359 --> 00:30:30.099
They argued that statistics as a field is fundamentally

00:30:30.099 --> 00:30:33.119
incomplete because it cannot predict the risk

00:30:33.119 --> 00:30:35.940
of rare events. If an event is rare enough, you

00:30:35.940 --> 00:30:38.059
simply don't have enough data to know the probability.

00:30:38.440 --> 00:30:40.880
You are flying completely blind and the math

00:30:40.880 --> 00:30:43.759
can't save you. You cannot use the past to predict

00:30:43.759 --> 00:30:46.900
the future when the tails are fat. He also applied

00:30:46.900 --> 00:30:48.910
this thinking to the pandemic, didn't he? He

00:30:48.910 --> 00:30:53.410
did very early on. On January 26th, 2020, when

00:30:53.410 --> 00:30:55.789
most of the world was still saying it's just

00:30:55.789 --> 00:30:58.809
the flu or it won't leave China, Taleb, along

00:30:58.809 --> 00:31:01.670
with Yanir Bar -Yam and Joseph Norman, published

00:31:01.670 --> 00:31:05.029
a note called Systemic Risk of Pandemic via Novel

00:31:05.029 --> 00:31:08.509
Pathogens. January 26th. That is incredibly early.

00:31:08.890 --> 00:31:11.349
It's remarkably prescient. They argued that SARS

00:31:11.349 --> 00:31:13.609
-CoV -2 was not being taken nearly seriously

00:31:13.609 --> 00:31:16.150
enough. And their logic wasn't about the specific

00:31:16.150 --> 00:31:18.470
biology of the virus, but about the math of the

00:31:18.470 --> 00:31:21.250
network. They argued that in a globally connected

00:31:21.250 --> 00:31:24.230
world, pathogens spread much, much faster than

00:31:24.230 --> 00:31:26.470
standard models predict. Global connectivity

00:31:26.470 --> 00:31:29.869
increases systemic risk. They called for an immediate

00:31:29.869 --> 00:31:32.250
aggressive clampdown because the downside risk

00:31:32.250 --> 00:31:35.190
was infinite total ruin. It goes right back to

00:31:35.190 --> 00:31:37.650
his asymmetry idea. If you overreact and you

00:31:37.650 --> 00:31:39.329
turn out to be be wrong. You lose a little bit

00:31:39.329 --> 00:31:41.630
of money. There's some panic. But if you underreact

00:31:41.630 --> 00:31:43.329
and you're wrong, you lose everything. Exactly.

00:31:43.410 --> 00:31:45.349
It's the precautionary principle. When the risk

00:31:45.349 --> 00:31:47.170
is total ruin, you don't sit around and wait

00:31:47.170 --> 00:31:50.910
for more evidence. You act immediately. And finally,

00:31:50.970 --> 00:31:53.269
let's talk about his professional legacy in finance.

00:31:53.910 --> 00:31:57.029
Tail risk hedging. This is the business model

00:31:57.029 --> 00:31:59.809
of universe investments. It's basically insurance

00:31:59.809 --> 00:32:03.230
against the apocalypse. The strategy is to accept

00:32:03.230 --> 00:32:06.410
small, constant losses. just like paying insurance

00:32:06.410 --> 00:32:09.210
premiums. You bleed a little bit of money every

00:32:09.210 --> 00:32:11.390
single month buying these put options that are

00:32:11.390 --> 00:32:14.109
way, way out of the money. Which has to be psychologically

00:32:14.109 --> 00:32:16.589
very difficult. Nobody likes losing money every

00:32:16.589 --> 00:32:18.690
month, even a little bit. It's incredibly hard.

00:32:18.829 --> 00:32:20.930
You look like a loser for years on end. You have

00:32:20.930 --> 00:32:23.390
these lengthy dry spells. Your neighbors are

00:32:23.390 --> 00:32:25.829
making 10 % a year in the stock market, and you

00:32:25.829 --> 00:32:29.410
are consistently losing 2%. But then the market

00:32:29.410 --> 00:32:32.109
crashes. And while everyone else is jumping out

00:32:32.109 --> 00:32:35.430
of windows, your fund pays out a massive, life

00:32:35.430 --> 00:32:38.230
-changing jackpot. It's the bar bill again. You

00:32:38.230 --> 00:32:39.970
pay small amounts to protect against the black

00:32:39.970 --> 00:32:42.269
swan, and when it finally arrives, you profit

00:32:42.269 --> 00:32:44.910
immensely. And that really is the summary of

00:32:44.910 --> 00:32:48.509
the man. He has built an entire life and an entire

00:32:48.509 --> 00:32:50.710
philosophy completely designed around the central

00:32:50.710 --> 00:32:52.589
idea that we just don't know what's coming next.

00:32:52.930 --> 00:32:56.500
Okay, let's wrap this up. We've covered the aristocrat

00:32:56.500 --> 00:32:58.700
-turned -trader, the philosopher of uncertainty,

00:32:59.119 --> 00:33:02.559
the public brawler, and the mathematician. When

00:33:02.559 --> 00:33:05.359
you step back from all of it, what is the single

00:33:05.359 --> 00:33:07.720
biggest takeaway here? I think it's a fundamental

00:33:07.720 --> 00:33:10.740
shift in worldview. Most of us go through life

00:33:10.740 --> 00:33:12.900
trying to predict the future. We try to guess

00:33:12.900 --> 00:33:14.759
what the stock market is going to do or what

00:33:14.759 --> 00:33:16.660
the weather will be next week or how our career

00:33:16.660 --> 00:33:19.539
is going to turn out. Taleb's message is stop.

00:33:20.109 --> 00:33:22.670
You can't predict the future. The world is far

00:33:22.670 --> 00:33:25.549
too complex. So instead of prediction, what?

00:33:25.730 --> 00:33:28.950
Focus on preparation. Focus on robustness. Build

00:33:28.950 --> 00:33:31.789
a life and a portfolio and a body that can handle

00:33:31.789 --> 00:33:33.950
whatever the future throws at you. Don't try

00:33:33.950 --> 00:33:35.529
to see the black swan coming. Just make sure

00:33:35.529 --> 00:33:37.529
you're the kind of person who survives it or,

00:33:37.630 --> 00:33:41.069
even better, benefits from it. Be the anti -fragile

00:33:41.069 --> 00:33:42.869
package. And I want to leave our listener with

00:33:42.869 --> 00:33:46.069
one final provocative thought. Taleb talks about

00:33:46.069 --> 00:33:48.670
this idea he calls the fourth quadrant. Yes.

00:33:49.160 --> 00:33:52.420
This is the domain of complex, real -world problems

00:33:52.420 --> 00:33:54.759
where we don't know the rules and the impact

00:33:54.759 --> 00:33:57.920
of being wrong is incredibly high. And Taleb

00:33:57.920 --> 00:33:59.920
suggests that in this quadrant, we should probably

00:33:59.920 --> 00:34:03.259
stop using models entirely. No maps are better

00:34:03.259 --> 00:34:05.400
than bad maps. If you're in a strange city and

00:34:05.400 --> 00:34:07.039
you're using a map of a completely different

00:34:07.039 --> 00:34:09.699
city, you are guaranteed to get lost. So here

00:34:09.699 --> 00:34:12.039
is the question for you, the learner. Look at

00:34:12.039 --> 00:34:14.119
your own life. Where are you exposing yourself

00:34:14.119 --> 00:34:17.489
to that medium risk, that dangerous middle? Where

00:34:17.489 --> 00:34:20.150
are you relying on a steady paycheck from a company

00:34:20.150 --> 00:34:22.550
that could vanish tomorrow? Where are you relying

00:34:22.550 --> 00:34:24.989
on moderate exercise that isn't actually preparing

00:34:24.989 --> 00:34:27.250
you for real -world stress? Where are you being

00:34:27.250 --> 00:34:29.409
fragile while thinking that you're safe? And

00:34:29.409 --> 00:34:31.710
as Taleb would say, referencing his most famous

00:34:31.710 --> 00:34:34.369
metaphor about the turkey, the turkey is fed

00:34:34.369 --> 00:34:38.090
every single day for 1 ,000 days. Every day,

00:34:38.230 --> 00:34:40.789
the turkey's statistical model confirms the hypothesis

00:34:40.789 --> 00:34:43.550
that the humans love me, they feed me, life is

00:34:43.550 --> 00:34:46.650
good and stable. The turkey's confidence is at

00:34:46.650 --> 00:34:50.369
its absolute peak on day 1001. And day 1001 is

00:34:50.369 --> 00:34:53.469
the Wednesday before Thanksgiving. Exactly. What

00:34:53.469 --> 00:34:55.969
the turkey sees as a black swan, the butcher

00:34:55.969 --> 00:34:58.409
sees as just another Wednesday. It's all about

00:34:58.409 --> 00:35:00.809
perspective. So the final advice from Nassim

00:35:00.809 --> 00:35:02.949
Nicholas Taleb. Don't be a turkey. Thanks for

00:35:02.949 --> 00:35:05.070
listening to The Deep Dive. We'll see you next

00:35:05.070 --> 00:35:05.269
time.
