Everything Is Predictable
How Bayesian Statistics Explain Our World
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Everything Is Predictable
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Narrateur(s):
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Tom Chivers
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Auteur(s):
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Tom Chivers
À propos de cet audio
“Bayes’s moment has clearly arrived.” —The Wall Street Journal
A captivating and user-friendly tour of Bayes’s theorem and its global impact on modern life from the acclaimed science writer and author of The Rationalist’s Guide to the Galaxy.
At its simplest, Bayes’s theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event. But in Everything Is Predictable, Tom Chivers lays out how it affects every aspect of our lives. He explains why highly accurate screening tests can lead to false positives and how a failure to account for it in court has put innocent people in jail. A cornerstone of rational thought, many argue that Bayes’s theorem is a description of almost everything.
But who was the man who lent his name to this theorem? How did an 18th-century Presbyterian minister and amateur mathematician uncover a theorem that would affect fields as diverse as medicine, law, and artificial intelligence?
Fusing biography, razor-sharp science writing, and intellectual history, Everything Is Predictable is an entertaining tour of Bayes’s theorem and its impact on modern life, showing how a single compelling idea can have far reaching consequences.
Ce que les auditeurs disent de Everything Is Predictable
Moyenne des évaluations de clientsÉvaluations – Cliquez sur les onglets pour changer la source des évaluations.
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Au global4 out of 5 stars
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Performance5 out of 5 stars
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Histoire5 out of 5 stars
- the5chord
- 2024-08-18
Great book but might be better in print form?
It’s well written, agued and read by the author. Still some of it is pretty heavy and I haven’t seen the print edition but perhaps there are some visuals to help with some of the explanations. I do wish there was a little more time on explaining the frequentist positions so I could balance the Bayesian perspective against it.
Would recommend regardless of the few hangups. I have raised my prior belief that Bayesian is a useful model at least 15 percent.
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