Bayesian Inference Explained
Bayesian statistics offers a framework for updating our beliefs based on new evidence, illustrated through relatable examples like assessing the likelihood of seeing a tree. The discussion highlights common reasoning errors, such as base rate neglect, which can lead to misconceptions about our sensory perceptions. Understanding these concepts is crucial for better decision-making and interpreting the world around us.In this clip
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Making Sense Podcast
Constructing Self and World: A Conversation with Shamil Chandaria (Episode #320)
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