Sample averages converge on the true mean only as samples grow, and small samples produce extreme results far more often than intuition allows. Most investment track records, medical trials and A/B tests are small samples wearing the costume of evidence. The practical rule is to ask how many independent observations sit behind any number before believing it.
How biased samples, chosen averages and cut-off chart axes make numbers mislead.
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How people learned to measure risk, from early probability to portfolio theory.
“I think some of the books that are a must would be Peter Bernstein's book about risk, Against the Gods: The Remarkable Story of Risk.” — Charles de Vaulx
Source: De Vaulx naming Bernstein's book a must-read on risk
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How randomness shapes our lives, the history of probability, and why we misread it.
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Statistics without the maths, for reading claims: averages, correlation, regression.
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