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The Black Swan

The Black Swan

Nassim Nicholas Taleb
2007
T4 421 pages · about 7h 1m to read Open Librarygoodreads

Incerto volume 2

Summary

Taleb argues that rare, unpredicted, high-impact events drive history and markets, and that people construct explanations after the fact that make those events look predictable. He defines a black swan by three properties: it lies outside regular expectations, it carries extreme impact, and human nature makes it explainable in hindsight. His target is any method that estimates the probability of extremes from past data.

He divides the world into Mediocristan, where no single observation changes the total, such as height or weight, and Extremistan, where a single observation can dominate, such as book sales, wealth or market returns. He argues that Gaussian tools apply only in Mediocristan and that financial risk models applying normal distributions to Extremistan produce numbers that are worse than useless because they generate false confidence. His attack on value at risk and on the Nobel-recognised portfolio theory of Markowitz, Sharpe and Merton is explicit and personal.

He also names supporting errors: the narrative fallacy, in which people compress facts into stories; silent evidence, in which survivors are visible and failures are not; and the ludic fallacy, in which the tidy probabilities of games are mistaken for real uncertainty. His constructive advice is limited by design: seek exposure to positive black swans through many cheap options, avoid exposure to negative ones, and do not attempt to predict.

The 2008 crisis raised the book's standing enormously, though Taleb had published in 2007 and the events fit his argument closely. Critics point out that the concept is hard to falsify, that the book is repetitive and hostile, and that some ideas restate earlier work by Mandelbrot and by Knight. The distinction between the two domains is the durable contribution.

Key takeaways 8

  1. Rare, high-impact and retrospectively explained events, not the ordinary distribution of outcomes, determine most historical and financial results.
  2. Some domains are scalable, where a single observation can dominate the total, and statistical tools built for non-scalable domains fail badly there.
  3. Applying normal distributions to financial returns understates tail risk severely enough to make risk models actively harmful.
  4. People construct causal narratives after events, which makes the past look far more predictable than it was and the future look more knowable than it is.
  5. Failures leave no record, so any study of successes overstates the role of skill and understates the role of luck.
  6. Absence of evidence for a rare event is not evidence that the event cannot occur, and long uneventful records can precede catastrophe.
  7. An investor should build exposure to positive rare events cheaply and eliminate exposure to negative ones, rather than attempt to forecast either.
  8. Expert forecasting in domains subject to rare events performs no better than chance while producing confident numbers.

Who should read it

Investors and risk managers who need the argument against extrapolating from historical distributions stated in full.

About Nassim Nicholas Taleb

Former options trader; Distinguished Professor of Risk Engineering, NYU Tandon; scientific adviser to Universa Investments

The Incerto is the primary source for how markets and institutions handle tail risk, and the accompanying technical work supplies the mathematics others cite.

NYU Tandon, Universa Investments

Who recommended it 21 · 6 direct

“The message of The Black Swan is how important it is to realize that the things everyone rules out can still come to pass.”

“One more quote, this time from Nassim Nicholas Taleb in The Black Swan”

Bill Gatesreported
David Kadavyreported
Guy Proopsreported
Peter Thielreported
Raoul Palreported
Simon Sinekreported
Vlad Tenevreported

Similar books 6

Chosen by shared topics, the entries that hold them, and the people who recommended both.

Nassim Nicholas Taleb · 2001

Why people mistake luck for skill, above all in markets.

“Fooled by Randomness is a serious, intellectually sophisticated book, well worth reading carefully. At times, the book is condescending. Nevertheless, there are some great insights.” — Barton Biggs

Source: Biggs on a sophisticated book worth reading carefully

Recommended by: Barton Biggs, Michael Mauboussin and 11 others

Nassim Nicholas Taleb · 2012

Incerto volume 4

“Nassim Taleb, author of the new book Antifragile, praises volatility and criticises those who would artificially damp it at great unseen cost. Taleb advises us to be 'anti-fragile'. This is exactly…” — Seth Klarman

Source: Klarman on Taleb's praise of volatility and what Baupost strives for

Recommended by: Mohnish Pabrai, Nat Eliason and 25 others

Nassim Nicholas Taleb · 2018

Incerto volume 5

Benoit Mandelbrot, Richard Hudson · 2004

Why standard finance models understate market risk, from fractal geometry's creator.

Daniel Kahneman · 2011

Kahneman's synthesis of behavioral economics is the cognitive science underpinning every negotiation tactic. Anchoring, loss aversion, framing effects, and the planning fallacy — understanding why these biases operate, not just that they exist, makes you harder to exploit and more honest about your own irrationality.

“…books I've recommended, highlighted to death, or forced on friends.” — Andrew Wilkinson

Source: Andrew Wilkinson's Bookshelf, neverenough.com

Recommended by: Andrew Wilkinson, Charles de Vaulx and 32 others

Daniel C. Dennett · 2013

Thought experiments and other tools a philosopher uses to reason carefully.

Where it sits in the reference 15

Academics
Investment philosophy
Investment philosophy
Portfolio & risk
Mental models
Mental models
Mental models
Mental models
Mental models
Mental models
Mental models
Mental models
Mental models
Mental models
Economics

Topics

Decision MakingPhilosophyFinance and MarketsPhilosophy of science and mind