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The Fourth Quadrant: A Map of the Limits of Statistics (Edge, 2008)

Nassim Nicholas Taleb · 14 Sept 2008

The piece opens with

Depending on exposure, one can be extremely wrong and be fine, or slightly wrong and blow up

In some situations, you can be extremely wrong and be fine, in others you can be slightly wrong and explode.

Read the piece on edge.org ↗

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Nassim Nicholas Taleb did not write this page.

Every claim below was made in this piece, quoted word for word and numbered in the order the piece makes them, so you can read it there rather than take our word for it. The sentence above each quote is our reading of the claim, not their wording. Each quote was checked against a stored copy of the page at build time; where the two differ, the quote is the fact.

  1. In some situations, you can be extremely wrong and be fine, in others you can be slightly wrong and explode.
  2. Here is where your limits are. Do not base your decisions on statistically based claims.
  3. If small probability events carry large impacts, and (at the same time) these small probability events are more difficult to compute from past data itself, then: our empirical knowledge about the potential contribution—or role—of rare events (probability × consequence) is inversely proportional to their impact.
  4. This absence of "typical" event in Extremistan is what makes prediction markets ludicrous, as they make events look binary.
  5. You can live longer if you avoid death, get better if you avoid bankruptcy, and become prosperous if you avoid blowups in the fourth quadrant.
  6. Only fools (such as Banks) optimize, not realizing that a simple model error can blow through their capital (as it just did).
  7. Things that have worked for a long time are preferable—they are more likely to have reached their ergodic states.
  8. Do not confuse absence of volatility with absence of risks.

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