Back in the 1700s, in a spa town outside of London, Thomas Bayes, a Presbyterian minister and amateur mathematician, invented a formula that lets you figure out how likely something is to happen based on what you already know. It changed the world. Today, pollsters use it to forecast election results and bookies to predict Super Bowl scores. For neuroscientists, it explains how our brains work; for computer scientists, it's the principle behind artificial intelligence.

In this episode, we explore the modern-day applications of this game-changing theorem with the help of Tom Chivers, author of the new book "Everything Is Predictable: How Bayesian Statistics Explain Our World."

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