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Mental Models

Becoming a Non-Turkey

This concept distinguishes between domains where prediction is possible (Mediocristan) and those dominated by rare, unpredictable Black Swans (Extremistan). It argues that socioeconomic life is inherently Black Swan territory, making many important events impossible to forecast despite statistical sophistication.

THE IDEA

The Idea of Becoming a Non-Turkey

It is obvious to anyone before drinking time that we can put a man, a family, a village with a mini town hall on the moon, and predict the trajectory of planets or the most minute effect in quantum physics, yet governments with equally sophisticated models cannot forecast revolutions, crises, budget deficits, climate change. Or even the closing prices of the stock market a few hours from now.

There are two different domains, one in which we can predict (to some extent), the other—the Black Swan domain—in which we should only let turkeys and turkified people operate. And the demarcation is as visible (to non-turkeys) as the one between the cat and the washing machine.

Social, economic, and cultural life lie in the Black Swan domain, physical life much less so. Further, the idea is to separate domains into those in which these Black Swans are both unpredictable and consequential, and those in which rare events are of no serious concern, either because they are predictable or because they are inconsequential.

I mentioned in the Prologue that randomness in the Black Swan domain is intractable. I will repeat it till I get hoarse. The limit is mathematical, period, and there is no way around it on this planet. What is nonmeasurable and nonpredictable will remain nonmeasurable and nonpredictable, no matter how many PhDs with Russian and Indian names you put on the job—and no matter how much hate mail I get. There is, in the Black Swan zone, a limit to knowledge that can never be reached, no matter how sophisticated statistical and risk management science ever gets.

The involvement of this author has not been so much in asserting this impossibility to ever know anything about these matters—the general skeptical problem has been raised throughout history by a long tradition of philosophers, including Sextus Empiricus, Algazel, Hume, and many more skeptics and skeptical empiricists—as in formalizing and modernizing as a background and footnote to my anti-turkey argument. So my work is about where one should be skeptical, and where one should not be so. In other words, focus on getting out of the f*** Fourth Quadrant—the Fourth Quadrant is the scientific name I gave to the Black Swan domain, the one in which we have a high exposure to rare, “tail” events and these events are incomputable.3

Now, what is worse, because of modernity, the share of Extremistan is increasing. Winner-take-all effects are worsening: success for an author, a company, an idea, a musician, an athlete is planetary, or nothing. These worsen predictability since almost everything in socioeconomic life now is dominated by Black Swans. Our sophistication continuously puts us ahead of ourselves, creating things we are less and less capable of understanding.

When to use it

  • Risk management: Avoid relying solely on historical data or normal distributions for financial or operational risk, as rare but consequential events are unpredictable.

  • Strategic planning: Prepare for Black Swans by building redundancy and antifragility, rather than trying to forecast specific disruptions.

  • Personal decision-making: Be skeptical of expert forecasts in complex fields like economics, politics, and social trends; focus on resilience and options.

  • Scientific research: Recognize the limits of predictive models in domains with high uncertainty, and avoid overconfidence in statistical results.

FROM THEORY TO EVERYDAY LIFE

In practice

01

The Turkey Problem

A turkey is fed every day for 1000 days, and based on this evidence, it expects to be fed again on day 1001. Instead, it is slaughtered. Past data can mislead in Black Swan domains: the slaughter is a rare event the turkey cannot predict from its experience.

02

Prediction in Physics vs. Economics

Physicists can accurately predict planetary orbits and quantum effects, but economists and governments cannot forecast revolutions, stock market crashes, or budget deficits. This contrast highlights the difference between Mediocristan (predictable) and Extremistan (Black Swan dominated).

✳

A MOMENT TO REFLECT

Put it to work.

  1. Think of a time you made a confident prediction about a social or economic outcome. How might you have been acting like a turkey?

  2. In your work or personal life, which domains are likely in Extremistan vs. Mediocristan? What does that imply for your planning?

  3. How does increasing winner-take-all dynamics in modern society affect your ability to anticipate major changes?

Connected ideas

Another lens can bring the same problem into focus.

References

  1. The Black Swan: The Impact of the Highly Improbable — Nassim Nicholas Taleb (2007)

CONTINUE THE CONVERSATION

Source texts

  • Antifragile (Nassim Nicholas Taleb)
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