This lecture covers the concept of prediction decomposition in probability theory, focusing on events A₁, A, and their probabilities. It explains the decomposition of joint probabilities, conditional probabilities, and the relationship between events. The lecture also delves into the calculation of probabilities using conditional events and provides examples to illustrate the concepts.