Key takeaway: Empirical research and historical outcomes consistently demonstrate that prediction markets surpass traditional polling in forecasting electoral results and significant events. Markets synthesise information across multiple channels and reward accuracy through genuine financial exposure.
With each electoral cycle comes renewed discussion: do prediction markets or polls deliver superior accuracy? The empirical record is now unambiguous — prediction markets prevail, and the performance gap continues to widen. Here is the reasoning, supported by evidence.
The track record
Prediction markets have delivered correct forecasts in numerous major contests where polling proved unreliable or substantially off-target:
- 2016 US election: Conventional polls assigned Clinton 70-85% probability. Prediction markets (PredictIt, Betfair) valued Trump between 25-35% — substantially nearer to the actual result
- 2020 US election: Polling suggested a decisive Biden victory. Markets more accurately reflected a competitive outcome with considerable variability across pivotal states
- 2024 US election: Polymarket's Trump assessment (55-65% probability in the closing week) proved more reliable than aggregated polling data indicating a deadlocked race
- Brexit 2016: Surveys indicated an even split. Prediction markets assigned Remain 75% likelihood — both proved inaccurate, though markets recalibrated more swiftly as results emerged
Why markets beat polls
The superiority of prediction markets stems from fundamental structural characteristics rather than happenstance:
1. Skin in the game
Survey participants bear no cost for providing misleading responses. They may misrepresent their views (social acceptability concerns), provide thoughtless answers, or decline involvement (participation gaps). Market participants commit actual capital — an effective motivator for rigorous, informed decision-making.
2. Information aggregation
Surveys pose predetermined questions to selected respondents. Prediction markets consolidate insights from any participant willing to engage — research organisations, political professionals, quantitative specialists, regional commentators, campaign operatives. The resulting market price incorporates the totality of obtainable knowledge, beyond mere questionnaire data.
3. Continuous updating
Surveys typically span multiple days with publication delays. Prediction markets adjust instantaneously as circumstances evolve. When a politician commits a blunder or a public debate reshapes sentiment, market valuations shift within hours.
4. No methodology bias
Poll reliability hinges substantially on technique: respondent selection, voter identification criteria, question design. Various polling organisations yield substantially divergent findings. Markets circumvent these technical considerations entirely — competitive pricing manages the synthesis.
When polls still matter
Prediction markets cannot wholly displace conventional polling:
- Thin markets: Low-activity prediction markets remain susceptible to distortion or merely echo the convictions of dominant participants
- Demographic detail: Surveys segment preferences by generation, ethnicity, geography — markets furnish solely an aggregate likelihood
- Public opinion (not outcomes): Surveys capture citizen sentiment; markets forecast eventual results. These constitute distinct measurements
Academic evidence
A 2023 comprehensive review by scholars at MIT and the University of Pennsylvania determined that prediction markets surpassed polling aggregates across 15 of 17 examined electoral contests spanning half a dozen nations. The performance differential was most pronounced in elections characterised by substantial variability and systematic polling mistakes.
Monitor live prediction market valuations on PolyGram's politics page and observe how markets assess forthcoming contests instantaneously. Start trading on PolyGram →