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This lecture discusses the Generalized Bayes Theorem through an example involving three vaccines against a disease, each with different probabilities of protection. The vaccines are administered to a fraction of the population, and the lecture explores the probability of a person being protected if they catch the disease. The presentation covers the concept of mutually exclusive events and calculates conditional probabilities based on the given scenarios.