Check the forecast

Use the recorded outcomes to evaluate each forecast under the stated measure.

Distinguish calibration from separation between forecast bins.

6 questions · No time limit

Example

Example

Example · Standard

Both forecasts match the frequencies within their own forecast bins. Which separates groups with different observed event rates more?

Forecasts were recorded before the outcomes.
GroupEvents observedForecast AForecast B
C9 of 20
45%
55%35%
B5 of 20
25%
15%35%
A1 of 20
5%
15%35%
D13 of 20
65%
55%35%

A forecast bin contains all events given the same probability. More variation between observed bin rates means more separation, weighted by bin size.

These are fictional, completed events. The comparison describes this batch; it does not establish calibration or accuracy on future events.

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Compare forecasts A and B using the measure in the question. They may tie.

Help

Calibration, separation and squared error describe different aspects of a forecast. Repeated predictions share one forecast bin. The squared-error score rewards accurate probabilities on average, not certainty for its own sake. Results from one finite batch do not establish future performance. These are original reasoning exercises, not a validated intelligence assessment.

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Original practice puzzles, not a standardized assessment.

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Use the recorded outcomes to evaluate each forecast under the stated measure.

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