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Most systems don't follow normal distributions; they follow power laws. This means extreme events are far more common than expected. You need to adapt your strategy for power law systems, focusing on repeated bets rather than consistency.
- ๐ Normal distributions cluster around an average; power laws have a long tail with rare, extreme events.
- ๐ฅ Forest fires, earthquakes, and financial markets often follow power laws.
- ๐ฒ In power law systems, rare outliers dominate outcomes. Consistency matters less than taking calculated risks.
- ๐ก Understanding if a system is normal or power law dictates how you should behave.
A seesaw is unbalanced with multiple figures on one side and one figure on the other, illustrating imbalance.