thinking-probabilistic
Probabilistic Thinking
Overview
Probabilistic thinking, informed by the research of Philip Tetlock's "Superforecasting," treats beliefs as probabilities rather than certainties. Good probabilistic thinkers express confidence in ranges, update beliefs when evidence changes, and track their accuracy to improve calibration over time.
Core Principle: Express beliefs as probabilities. Track predictions. Update when wrong. Calibrate over time.
When to Use
- Project timeline estimation
- Risk assessment
- Predicting outcomes (launches, decisions, events)
- Evaluating uncertain technical choices
- Making decisions without complete information
- Any forecast or prediction
Decision flow:
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