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Decision-Making Under Uncertainty

4 mental models

Navigating incomplete information with finite resources

Mental Models

Probabilistic Thinking & Base Rate Neglect

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Most decisions require thinking in probabilities rather than certainties. Base rates—statistical information about how things generally work—provide crucial context, yet we systematically ignore them in favor of vivid stories or intuitions about our specific situation. This creates predictable errors in judgment that compound over time.

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Expected Value & Asymmetric Payoffs

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advanced

Expected value—probability multiplied by magnitude across all possible outcomes—provides the right framework for decisions under uncertainty. The best opportunities have asymmetric payoff structures: limited downside with unlimited or disproportionate upside. Understanding this distinction transforms how you allocate resources and take risks.

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Decision Quality vs. Outcome Separation

advanced level

advanced

Results are determined by decision quality plus luck. Conflating the two—working backward from outcomes to judge decisions—creates a vicious cycle where you learn the wrong lessons. The solution is evaluating decisions by process and information available at decision time, not by results that include randomness.

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Decision Fatigue & Cognitive Resource Management

advanced level

advanced

Mental energy is a finite resource. Every decision—from what to eat for breakfast to whether to fire an employee—depletes the same cognitive reserves. Decision fatigue degrades judgment quality progressively throughout the day, causing us to avoid decisions entirely or make impulsive choices. Managing this constraint is as important as improving decision-making skill.

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About This Domain

Navigating incomplete information with finite resources This collection of mental models provides frameworks for understanding and working within this domain effectively.

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