3Blue1Brown: Bayes' Theorem: Understanding and Application

This quiz assesses a deep understanding of Bayes' Theorem, its foundational concepts, practical applications, and the psychological biases it helps to counteract. It covers topics such as the components of Bayes' Theorem (prior, likelihood, posterior), intuitive Bayesian reasoning, and common cognitive errors like base-rate neglect and the conjunction fallacy, as exemplified by the Kahneman and Tversky studies. Questions require not only definitional knowledge but also the ability to apply the principles to real-world scenarios and interpret the theorem's implications for scientific discovery, AI, and human cognition. Mastery of the content will enable learners to effectively apply Bayesian thinking in various contexts.