Strengthen your decision-making by learning to spot probability misconceptions, question persuasive claims, and evaluate evidence more clearly in everyday life, news, health, finance, and public debate.
Overview
Syllabus
- Course 1: Recognize Patterns That Aren’t There
- Course 2: Evaluate Rare Events and Test Results
- Course 3: Decode How Risk Gets Framed
- Course 4: Judge Claims Under Uncertainty
Courses
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You will learn why random events often create streaks, clusters, and coincidences that look meaningful even when they are not. You'll explore the gambler's fallacy, hot-hand thinking, regression to the mean, and other common mistakes people make when interpreting patterns in chance events.
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You will learn to reason from background frequencies instead of trusting a single test result or alert. Using natural frequencies, you'll interpret test accuracy and combine base rates with error rates to judge what a positive result really means in medical, fraud, and security settings.
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You will see how one underlying risk can be presented in dramatically different ways. You'll interpret absolute and relative risk, separate percentage points from percentage change, and spot missing denominators, selective evidence, and framing tricks that distort what a risk claim really means.
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You will bring together everything from the path to evaluate real probability and risk claims from health, finance, news, advertising, and public debate. You'll apply a structured questioning routine, resist common manipulations, and weigh both likelihood and consequence under genuine uncertainty.
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