Freakonomics

Editorial review

The book that did more than any other to popularize 'data-driven' contrarian thinking in the early 2000s. Some specific claims have been challenged in the years since; the underlying habit of looking for the real incentive structure behind the headline remains useful.

AI-generated summary

Steven Levitt and Stephen Dubner apply economic reasoning to questions outside traditional economics: cheating in sumo wrestling, the structure of crack-dealing gangs, the falling crime rate of the 1990s, and the impact of names on life outcomes.

Key takeaways

• 1

  Incentives — moral, social, economic — usually explain behavior the official story can't.

• 2

  Conventional wisdom is often conventional, and frequently wrong.

• 3

  Correlation is not causation; identifying the right counterfactual is hard work.

• 4

  Asking unusual questions is itself a research method.