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EconTalk

Nassim Nicholas Taleb on the Financial Crisis

EconTalk

Library of Economics and Liberty

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4.74.4K Ratings

🗓️ 23 March 2009

⏱️ 56 minutes

🧾️ Download transcript

Summary

Nassim Taleb talks with EconTalk host Russ Roberts about the financial crisis, how we misunderstand rare events, the fragility of the banking system, the moral hazard of government bailouts, the unprecedented nature of really, really bad events, the contribution of human psychology to misinterpreting probability and the dangers of hubris. The conversation closes with a discussion of religion and probability.

Transcript

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0:00.0

Welcome to Econ Talk, part of the Library of Economics and Liberty. I'm your host Russ Roberts

0:13.9

of George Mason University and Stanford University's Hoover Institution. Our website is econtalk.org

0:21.2

where you can subscribe, find other episodes, comment on this podcast, and find links to

0:26.5

another information related to today's conversation. Our email address is mailadicontalk.org. We'd

0:33.6

love to hear from you. It is March 5th, 2009 and my guest today is Nassim Nicholas

0:42.4

Taleb, author of Food by Randomness and the Black Swan. And one of the few thoughtful people

0:48.4

alive today who can say, I told you so. Nassim, welcome back to Econ Talk.

0:52.7

Well, thank you very much. Two years later, a lot of things happened.

0:56.7

Yeah. Now, you have long been a critic of attempts to master risk and the uncertainty of life

1:07.6

with mathematical tools. Tell me what you said before this happened and how it has turned out.

1:16.0

Where were you right and were you wrong anywhere?

1:18.6

No, my point was that it's not so much a critique of mathematics as much as it is a critique

1:28.0

of methods to estimate rare events. We don't know much about rare events by definition because

1:35.2

they're rare. When someone tells you this event should have happened once every 10,000

1:40.1

years and if the gentleman is not 10,000 years old, you know that he's getting that probability

1:45.4

from outside his own personal experience and the smaller the probability, the more you

1:51.3

have to rely on some a priori, specification or on a model, on some representation of

1:56.7

the world. So my point is that the smaller the probability, the more fragile it's going

2:02.2

to be with estimation. And the smaller the probability in some areas, we're going to have the

2:10.7

larger the impact. Look, for example, a 10-year flood has a higher probability than a 100-year

2:16.8

flood, but the 100-year flood with a smaller probability will be massively more consequential

2:23.8

and you don't really care about the probability, you care about the probability time, the impact

...

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