How science can help us predict the future

Tom Chivers, an insightful author known for his work on predictability through Bayes' Theorem, discusses how this statistical model can illuminate our understanding of the future. He highlights the differences between Bayesian and frequentist approaches to probability and their implications for scientific reliability. Chivers also emphasizes the importance of applying Bayesian thinking in daily life, especially in combating misinformation and shaping beliefs. He illustrates the theorem's practical uses, like in spam filtering, showcasing its relevance across diverse fields.