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Ultimately, this book made a few core points and used long but interesting stories to make them. If you’re familiar with statistics and cognitive biases, the core points probably won’t be anything new for you.
Core points from each chapter:
Intro) Printing Press. Data needs to be interpreted well. It can be dangerous to misinterpret data.
1) Housing Bubble. Be wary of bad incentives, overconfidence, exponential growth/decay, extrapolation.
2) Election Predictions. Even experts are often really bad a ...more
Core points from each chapter:
Intro) Printing Press. Data needs to be interpreted well. It can be dangerous to misinterpret data.
1) Housing Bubble. Be wary of bad incentives, overconfidence, exponential growth/decay, extrapolation.
2) Election Predictions. Even experts are often really bad a ...more

Mar 21, 2014
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politics,
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review of another edition
Shelves:
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ai-and-data-science

Jul 06, 2016
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Jul 23, 2016
Harsh Gupta
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