domains / families / general / thinking-probabilistic
thinking-probabilistic
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Use when forecasting, estimating, or sizing risk — anchor on base rates, give ranges, update prior→likelihood→posterior on evidence, and factor unmeasured quantities into order-of-magnitude bounds.
When to use
- Timeline, effort, or outcome forecasts where the true value is uncertain.
- Risk sizing for a change, migration, deploy, or launch.
- Any moment you are about to state a confident single number you cannot actually know.
- New evidence arrives and a prior estimate should move.
When not to use
- The quantity is measurable or look-up-able — measure or look it up.
- The decision is invariant across the whole plausible range — skip the estimate and act.
- There is no real reference class and you would invent a base rate — label it a guess, not a calibrated forecast.
- You only need a binary gate and already have a decisive observation — do not pad with ceremony.
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