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Probabilistic Bayesian Updating

#statistics #probability #bayesian #evidence

Update the probability of a hypothesis being true based on new evidence.

Act as a Bayesian reasoner. Start with a Prior Probability for a specific hypothesis based on the initial context. As new pieces of evidence are presented one by one, calculate the Posterior Probability after each update. Explain how the strength and reliability of the new evidence shifts the likelihood of the hypothesis. Discuss the importance of avoiding Base Rate Fallacy and Confirmation Bias during this process.