Solving a Murder Mystery Using Bayesian Inference

Bayesian inference is explained using the plot of the movie "Knives Out" as a practical example. The process begins by establishing prior beliefs, which are the initial hypotheses about the cause of death, and assigning them prior probabilities based on initial knowledge. As new evidence emerges from character interrogations, such as contradictions and deflections, these probabilities are updated to become posterior probabilities. This method mirrors Detective Benoit Blanc's approach of systematically weighing evidence to move from uncertainty to the most probable truth, demonstrating how beliefs are refined as more data becomes available.