The Investor's Shelf — one book
The Drunkard's Walk

The Drunkard's Walk

Leonard Mlodinow
2008
T2 252 pages · about 4h 12m to read OL12404493Wgoodreads

Summary

Mlodinow, a physicist, wrote an accessible book on randomness and probability, combining the history of the mathematics with evidence that people reason about it badly.

The historical thread runs from Cardano's early work on gambling odds through Pascal and Fermat's correspondence, Bernoulli's law of large numbers, Bayes and the problem of inverse probability, Laplace, Gauss and the normal distribution, and the development of statistics. Mlodinow explains each concept through the problem its originator was trying to solve.

The psychological thread reports the standard findings on probabilistic reasoning: the conjunction fallacy, where a specific conjunction is judged more probable than one of its components; base rate neglect, illustrated with medical testing where a positive result on an accurate test for a rare condition usually indicates no condition; the availability heuristic; the misunderstanding of conditional probability shown by the Monty Hall problem and by the prosecutor's fallacy; and the tendency to find patterns in random sequences, including the clustering illusion and the hot hand.

The applied argument concerns how much of observed success is randomness. Mlodinow examines mutual fund manager records, corporate executive performance, film studio executives, wine ratings, publishing decisions and sports streaks, arguing in each case that the observed distribution of outcomes is consistent with chance operating on small underlying differences, and that our tendency to construct causal narratives after the fact makes randomness invisible.

The book covers ground also covered by Taleb and Kahneman. Some of the psychology studies cited come from literatures affected by replication problems since 2008, though the core probability findings have held. The treatment is introductory and a reader with statistical training will find little new.

Key takeaways 7

  1. A positive result on an accurate test for a rare condition usually indicates the absence of the condition, because the base rate dominates.
  2. People judge specific detailed scenarios as more probable than the general cases that contain them, which is logically impossible.
  3. Random sequences produce clusters and streaks that observers reliably interpret as patterns.
  4. Mutual fund manager records over typical measurement periods are consistent with chance operating on small differences in skill.
  5. Success in fields with high outcome variance is attributed to individual quality afterward, regardless of what produced it.
  6. Conditional probability is reversed routinely in legal and medical reasoning, which produces systematic errors with serious consequences.
  7. Constructing a causal narrative after an outcome makes the role of randomness invisible even to people who understand probability.

Who should read it

Readers who want an accessible introduction to probability and to the errors people make with it, particularly when assessing track records.

Where it sits in the reference 3

Philosophy
Mental models
Mental models

Similar books 6

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

Against the Gods: The Remarkable Story of Ri
Against the Gods: The Remarkable Story of RiskPeter L. Bernstein
The Success Equation: Untangling Skill and L
The Success Equation: Untangling Skill and Luck in Business, Sports, and InvestingMichael Mauboussin
Thinking, Fast and Slow
Thinking, Fast and SlowDaniel Kahneman
Algorithms to Live By
Algorithms to Live ByBrian Christian
Clinical Versus Statistical Prediction
Clinical Versus Statistical PredictionPaul E. Meehl
How to Measure Anything
How to Measure AnythingDouglas W. Hubbard