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Research article

Communicating forecast uncertainty to decision makers

Ranges, scenarios and probabilities: which representations help people make better choices.

Machine Learning · 14 August 2026 · 8 min read

The problem with a single number

A point forecast implies precision that rarely exists. Decision makers who plan around a single figure are surprised when reality differs, even when the forecast was reasonable.

Representations

Prediction intervals, fan charts and scenario sets each suit different audiences. Intervals are compact; scenarios are intuitive for planners; probability of exceeding a threshold maps directly to a decision rule.

Calibration

A stated 80 percent interval should contain the outcome roughly 80 percent of the time. Calibration should be monitored and reported, since poorly calibrated uncertainty is worse than none.

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