Everything Is Predictable: How Bayesian Statistics Explain Our World

Tom Chivers explains how Bayes’ Theorem serves as a mathematical blueprint for human cognition and scientific discovery. The book traces the shift from traditional frequentist statistics to a probabilistic approach where beliefs are updated as new data emerges. Chivers details how this framework applies to diverse fields, including medical screening accuracy, the replication crisis in psychology, and the development of artificial intelligence. He explains the interaction between "priors"—initial assumptions about the world—and the evidence required to shift a person’s confidence in a specific outcome.

This book is for readers interested in probability, decision science, and the mechanics of reasoning. It appeals to those who want to understand why human intuition often fails when processing risk or uncertainty. Readers walk away with a functional mental model for evaluating evidence in daily life, ranging from interpreting news headlines to making choices under pressure. The text provides a clear perspective on how to quantify doubt and adjust one's worldview when confronted with contradictory information.