Bayesian Thinking
Bayesian Thinking is a framework for updating beliefs in proportion to evidence. Named for the Reverend Thomas Bayes, whose theorem formalizes the mathematics of belief revision, it provides a principled method for incorporating new information into prior beliefs — neither overreacting to single data points nor clinging to existing views against contradicting evidence. It is the foundation of modern statistics, machine learning, and rational decision-making under uncertainty.