Prediction Market Calibration
What calibration measures
Calibration asks a simple question: when markets were priced around X%, how often did they actually resolve YES? Over a large sample, contracts priced at 70¢ should settle YES roughly 70% of the time. Persistent gaps describe systematic pricing behavior — the well-documented favorite-longshot pattern shows up here.
Why sample size matters
A 70% bucket that settled YES 62% of the time is interesting at n=400 and meaningless at n=8. Logit Terminal hides or greys out buckets below a minimum sample size rather than presenting tiny samples as authoritative.
Pinned prices distort calibration
A market sitting at 99¢ minutes before settlement is not a forecast — it is bookkeeping. Calibration built only on final prices overstates accuracy, which is why horizon-based calibration (prices 24h, 4h, and 1h before resolution) is on the roadmap.
Related
How to Read Prediction Market Odds · Methodology · Dashboard