IMPLIED PROBABILITY & MISPRICING
Plain English
The key skill in prediction markets is identifying when the market's implied probability is wrong. If the contract says 30% chance and you think it's actually 55%, you have an edge. Finding these mispricings requires combining your own analysis (fundamental research, data) with awareness of why the market might be biased.
Going deeper
Identifying mispriced contracts is the core of prediction market trading. Mispricings arise from: (1) Information asymmetry — you know something relevant that isn't yet reflected in prices. (2) Bias in crowd psychology — markets can be overly optimistic or pessimistic about certain outcomes. (3) Anchoring — contracts often anchor to prior resolution values, slow to update when conditions change. (4) Thin liquidity — few participants means prices can drift from fair value. Your edge comes from better information, better interpretation of the same information, or understanding structural biases in how these markets price events. Calibration research (Tetlock, Superforecasting) shows that with practice, individuals can outperform market consensus on many event types by systematically combining base rates, updating on new data, and avoiding cognitive biases.
Examples
Using Base Rates
Contract: 'Will the US enter a recession in the next 12 months?' trading at 35% Yes. Historical data: the US has been in recession roughly 13% of any given month since 1945. The 35% price may be significantly elevated versus historical base rates. Unless current conditions are unusually bad, this could be overpriced.
Updating on New Data
A Fed rate cut contract starts at 20% before a jobs report. The jobs report massively misses expectations (only 50k jobs vs. 200k expected). You immediately buy Yes on the rate cut contract — the weak data dramatically increases the probability before the market has fully updated. Being fast to update on new information is a key edge.