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24min chapter
John A. Paulos — Avoiding Innumeracy (EP. 219)
Infinite Loops
Misinterpretations and Misconceptions in Statistics
The episode explores common misinterpretations of statistical concepts like the law of large numbers, the central limit theorem, and normal distribution, using examples from various fields like healthcare, journalism, and gambling. It discusses the challenges of effectively communicating statistical information and the human tendency to seek patterns in random data. The chapter also delves into cognitive biases like anchoring bias and false sense of precision in estimating uncertain events.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode