
Prediction Vote APIs: Probabilities Are Not Polls or Results
A 70% probability does not mean 70% of the vote. Learn to define forecast events, preserve model versions, and present uncertainty without implying a result.
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Prediction content needs a clearly defined question before it needs a numerical display. This tag collects the Lab’s probability guide and links it to the surrounding election-data topics. Its purpose is to help readers distinguish uncertainty about an event from a recorded count, a poll response, or a declared result.
Read the forecast’s event definition, timing, and resolution rule together. The same number can be attached to different questions, and comparable-looking percentages can describe different quantities. A useful interface preserves the question beside the value instead of leaving the reader to infer it from a chart or headline.
Create two hypothetical questions about the same event that have different resolution criteria. Explain how each would be settled and why their probabilities need not be interchangeable. Then write a short display label that would prevent confusion. This exercise concerns interpretation and interface design, not a claim about prediction accuracy.

A 70% probability does not mean 70% of the vote. Learn to define forecast events, preserve model versions, and present uncertainty without implying a result.
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