What these geek numbers show - no, prove - is that the traditional yardsticks of success for players and teams are fatally flawed. Even the box score misleads us by ignoring the crucial importance of the humble base on balls. The information has been around for years, and nobody inside Major League Baseball paid it any mind. And then came Billy Beane, general manager of the Oakland Athletics.
Billy paid attention to those numbers - with the second-lowest payroll in baseball at his disposal, he had to - and this book records his astonishing experiment in finding and fielding a team that nobody else wanted. Moneyball is a roller coaster ride: before the 2002 season opens, Oakland must relinquish its three most prominent (and expensive) players, is written off by just about everyone, and comes roaring back to challenge the American League record for consecutive wins.
In a narrative full of fabulous characters and brilliant excursions into the unexpected, Lewis shows us how and why the new baseball knowledge works. He also sets up a sly and hilarious morality tale: Big Money, like Goliath, is always supposed to win... how can we not cheer for David? less
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Reviews and Recommendations
We've comprehensively compiled reviews of Moneyball from the world's leading experts.
Scott Keyes Other than How To Win Friends And Influence People and Daily Rituals (for the reasons outlined above), I would recommend reading both Malcolm Gladwell’s collection, everything from Tipping Point to David & Goliath, and Michael Lewis’ as well, from Moneyball to The Blind Side. Irrespective of content, both are wonderful writers who use stories in effortless, compelling ways to make larger points. It’s something that can and should be emulated by everyone, not just writers. (Source)
Rankings by Category
Moneyball is ranked in the following categories:
- #8 in Analysis
- #13 in Behavioral Economics
- #3 in Behavioral Psychology
- #5 in Big Data
- #67 in Business
- #25 in Business Competition
- #17 in Business Economics
- #62 in Business Management
- #12 in Data Science
- #19 in Decision Making
- #22 in Economics
- #42 in Finance
- #1 in Gambling
- #22 in Journalism
- #14 in MBA
- #23 in Money
- #69 in Nonfiction
- #8 in Statistics
- #27 in Strategy