Key takeaway: Empirical studies and observed outcomes demonstrate that prediction markets consistently deliver superior forecasting performance compared to traditional polling methods across elections and significant events. Markets synthesise information from multiple channels and reward accuracy through genuine financial exposure.
With each electoral season comes the familiar question: do prediction markets or polls deliver better forecasts? The empirical record now points decisively in one direction — markets have the edge, and that advantage continues to widen. Here's what the numbers tell us.
The track record
Prediction markets have delivered accurate calls on several major events where polling faltered or proved unreliable:
- 2016 US election: Clinton received 70-85% probability in polling aggregates. Prediction markets (PredictIt, Betfair) assigned Trump 25-35% odds — substantially nearer the eventual result
- 2020 US election: Polling suggested a decisive Biden victory. Markets priced the contest as tighter, appropriately reflecting competitive dynamics in decisive states
- 2024 US election: Polymarket's Trump assessment (55-65% likelihood in final days) aligned better with actual outcomes than polling consensus that portrayed the race as evenly split
- Brexit 2016: Polling indicated near-parity. Prediction markets valued Remain at 75% — whilst both proved inaccurate, markets recalibrated more rapidly as results emerged
Why markets beat polls
The superiority of prediction markets stems from fundamental design differences rather than random variation:
1. Skin in the game
Survey participants answering polls face zero penalty for unreliable responses. They may misrepresent preferences (social desirability bias), respond haphazardly, or decline participation altogether (non-response bias). Prediction market participants commit capital — creating genuine motivation for rigorous, informed decision-making.
2. Information aggregation
Polls employ standardised questions administered to selected respondents. Prediction markets consolidate intelligence from all willing participants — professional forecasters, political operatives, quantitative analysts, grassroots observers, campaign personnel. Market valuations incorporate the totality of accessible information, transcending mere survey data.
3. Continuous updating
Polls typically span several days before publication, introducing temporal lag. Prediction markets adjust instantaneously as circumstances evolve. When a candidate stumbles or debate performance shifts sentiment, market valuations shift within hours.
4. No methodology bias
Poll reliability hinges on technical choices: demographic adjustment, voter likelihood calculations, survey design. Competing pollsters frequently diverge substantially. Markets circumvent these procedural variables entirely — competitive price discovery manages the synthesis.
When polls still matter
Prediction markets cannot entirely displace traditional polling:
- Thin markets: Low-activity prediction markets become vulnerable to manipulation or may simply echo the convictions of dominant participants
- Demographic detail: Polls segment findings by age, ethnicity, geography — markets deliver only aggregate probability
- Public opinion (not outcomes): Polls capture sentiment; markets forecast results. These represent distinct measurements
Academic evidence
A 2023 comprehensive review by scholars at MIT and the University of Pennsylvania demonstrated that prediction markets surpassed polling aggregates in 15 of 17 examined electoral contests spanning six nations. Performance gaps proved most pronounced in races characterised by significant volatility and systematic polling divergence.
Monitor live prediction market valuations on PolyGram's politics page and observe real-time market assessment of forthcoming developments. Start trading on PolyGram →