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The book is about how we fail to recognize, predict and account for rare, high-impact events due to limited knowledge, cognitive biases and hindsight explanations. In Extremistan, scalable outcomes make Gaussian assumptions unreliable; unlike Mediocristan, where outcomes are constrained and averages matter. Key lesson: uncertainty and randomness matter far more than we think.

The Black Swan: We systematically underestimate the role of randomness and uncertainty, fail to anticipate rare high-impact events, and invent explanations for them after they happen. Extremistan is dominated by scalable, extreme outcomes where Gaussian assumptions break down; Mediocristan is constrained and more predictable. The key lesson: what we don’t know can matter far more than what we do know.

Now, we look at how people over estimate CERTAIN black swans
Narrative bias also aids in this
Your friend tells you about a motor cycle accident, and even with all the stats in your face you still believe motorcycle accidents are much more common and terrifying than they really are
Because of the narrative and anecdotal evidence will override the part of our brain that looks at stats 📈📉