Key themes
- Data, gut instinct and the institutions that resist change
- The market for mispriced talent — and who finds it
- How conventional wisdom maintains itself against evidence
About this book
How a cash-strapped baseball team used data to beat richer rivals; a gripping story about questioning everything.
Published in 2003, Moneyball was a bestseller and won the Quill Award. It is frequently assigned in business schools as a case study in disruption, analytics and institutional resistance to change.
Discussion questions
- Billy Beane uses statistical analysis to find overlooked players the traditional baseball market undervalues. What is Lewis saying through this premise about the relationship between evidence and established practice?
- The book is partly about why professional experts are wrong in systematic, predictable ways. What explains the persistence of errors — and how does baseball's specific culture enable them?
- Lewis focuses on a few individuals — Beane, Paul DePodesta, Scott Hatteberg — rather than on the statistical argument alone. Why does narrative require human subjects — and what does personalising an abstract argument achieve?
- Moneyball has been applied to fields from finance to politics. Is the book making a universal argument about mispriced assets — or something specific to baseball?
- The argument was eventually absorbed by all 30 teams, eliminating the competitive edge. What does this rapid adoption say about how innovations spread in professional sports?
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