The history of Bayesian statistics is fascinating, and this book ably tells the story of its twists and turns. I can understand why the author wants to insulate the reader from the mathematics, but I would have preferred a little more technical detail, especially as it applies to numerical methods. You'll come away from this book understanding how useful Bayesian inference is, but you probably won't learn very much about how it works.
I had no trouble understanding the narrator, but this is the first audiobook I've listened to in which some proper names (especially French names) were horribly mispronounced.
I've recently read/listened-to half a dozen good books about human cognitive bias, including Ariely's "Predictably Irrational", Tavris & Aronson's "Mistakes Were Made (But Not By Me)", and Chabris & Simons' "The Invisible Gorilla". However, this book is my favorite. It's concise, comprehensive, and it kept me entertained from start to finish. Perceptual, memory and reasoning biases are discussed. The authors even touch on philosophy.
To me, the only weakness of the book is that, while each chapter is takes a particular cognitive phenomenon as a theme, there's not a strong structure across the entire book. This made it a little more difficult for me to recall everything that was discussed. On the other hand, if you're like me, you'll want to listen to this book all over again.
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