How Bayes' Remarkable Theorem Explains the World
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Average rating4.7
Thomas Bayes was an eighteenth-century Presbyterian minister and amateur mathematician whose obscure life belied the profound impact of his work. Like most research into probability at the time, his theorem was mainly seen as relevant to games of chance, like dice and cards. But its implications soon became clear. Bayes' theorem helps explain why highly accurate screening tests can lead to false positives, causing unnecessary anxiety for patients. A failure to account for it in court has put innocent people in jail. But its influence goes far beyond practical applications. A cornerstone of rational thought, Bayesian principles are used in modelling and forecasting. 'Superforecasters', a group of expert predictors who outperform CIA analysts, use a Bayesian approach. And many argue that Bayes' theorem is not just a useful tool, but a description of almost everything - that it is the underlying architecture of rationality, and of the human brain. Fusing biography, razor-sharp science communication and intellectual history, Everything Is Predictable is a captivating tour of Bayes' theorem and its impact on modern life. From medical testing to artificial intelligence, Tom Chivers shows how a single compelling idea can have far-reaching consequences.
Reviews with the most likes.
This book came to me at the exact right time in my life for me to be able to appreciate it the most. I hadn't read much about Bayes previously, but my work has started to veer towards a direction in which I felt knowing more probability and stats would be useful. I have a background in engineering, so now that I am equipped with an intuitive understanding of what Bayes' theorem says, and what sorts of problems it can be applied to, I'm well placed to read further into the nitty-gritty of what I've read in order to apply this to my work.
I loved that this book wasn't written exclusively about the mathematics itself, but featured biographical elements of Bayes' life, places the story in a well fleshed-out historical setting, and shares anecdotes about the applications and development of the theorem.
Probably the most notes I've taken on a book in a long time.