Political Event Forecasting

Track and predict high-stakes political outcomes at scale

Build models that forecast policy decisions, election outcomes, and geopolitical events. Historical records of political statements and outcomes provide rich temporal structure for future-as-label training.

+29%
better calibration than baseline on political outcomes
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682
held-out test questions evaluated on live political events
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Example prediction questions

The kinds of questions a model trained on your data can answer.


Key results

Benchmark comparisons against frontier models

Calibration on 682 Political Test Questions

Trump-Forecaster achieves lower Expected Calibration Error than GPT-5 in both context-aware (ECE 0.079 vs. 0.091) and context-free (ECE 0.164 vs. 0.191) settings — 13–14% better calibration, with the largest gains when no additional context is available.

Grouped bar chart comparing ECE of Foresight vs. GPT-5 in with-context and without-context conditions on 682 held-out political questions

Explore

Primary write-ups and artifacts for this solution.

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