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How to be a Superforecaster w/ Warren Hatch, CEO of Good Judgment - EP176

Economics Explored

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Mastering Forecasting with Bayesian Theory

The chapter explores the use of machines and models in forecasting, emphasizing the division of labor between machines and humans and the importance of starting with base rates. It delves into the process of improving forecasts, the role of probabilistic thinking, and how Bayes' theorem can inform future predictions. The conversation also touches on the significance of being open to updating beliefs, collaborative frameworks in forecasting, and the challenges economists face in predicting recessions.

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