Index

Cognitive Biases

Gambler's Fallacy

The mistaken belief that if a random event has occurred more frequently than expected, it is less likely to happen again, or vice versa.

The gambler's fallacy creates false expectations that random sequences will self-correct, leading to mistimed bets and flawed strategy.

Core question

Are these events truly independent, or is there a structural reason to expect a pattern change?

Example

After three failed product launches in a row, a founder assumes the next one is due for success, without changing the underlying approach that caused the failures.

How to apply

  1. 1.Verify whether outcomes are actually independent before assuming reversion.
  2. 2.Base forecasts on structural analysis, not on streak patterns.
  3. 3.Treat each decision as a fresh probability assessment with updated data.

Pitfalls

  • ·Confusing the law of large numbers with short-run expectations.
  • ·Ignoring genuine momentum or structural trends because you assume reversion.
  • ·Treating correlated events as independent because it simplifies the model.

Questions

What is a classic example of the gambler's fallacy?

Believing a roulette wheel is due for red after ten consecutive blacks. Each spin is independent; the wheel has no memory.

How does the gambler's fallacy affect business decisions?

Leaders may expect a losing strategy to reverse through persistence rather than recognizing the need for a structural change.

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