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The Next Big Idea
PROBABILITY: How a 250-Year-Old Theorem Still Explains the World
Jul 18, 2024
52:44
Snipd AI
Exploring the 250-year-old Bayes' Theorem and its applications in predicting election results, Super Bowl scores, neuroscience, and artificial intelligence. Discussing the importance of Bayesian statistics in understanding the world around us and making accurate predictions in various fields. Delving into the significance of probability, consciousness, belief updating, and Bayesian evolution with intriguing insights and examples.
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Quick takeaways
- Bayesian statistics enable predictions based on subjective best guesses in various fields.
- Evolutionary theory views natural selection as a Bayesian system updating gene predictions over generations.
Deep dives
Bayesian Statistics Explained by Experts
Bayesian statistics is explored with Tom Chivers, an award-winning British science journalist. Chivers explains how Bayesian statistics allow us to make predictions about various phenomena, such as weather forecasts and election outcomes, based on subjective best guesses. The discussion delves into the concept of probability as a reflection of personal understanding, not absolute truth, and how predictions are constantly updated by new information.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode