Key takeaway: Empirical research and historical performance data reveal that prediction markets consistently outperform traditional polling in forecasting electoral outcomes and significant events. These markets harness distributed knowledge and reward accuracy through financial exposure.
With each electoral cycle comes renewed scrutiny: do prediction markets or polls deliver superior forecasting? The empirical record is now unambiguous — markets emerge ahead, and the gap continues to widen. Below is the supporting evidence.
The track record
Prediction markets have delivered accurate forecasts in numerous high-stakes contests where traditional polling faltered or produced misleading signals:
- 2016 US election: Conventional polling indicated Clinton held 70-85% probability. Prediction markets (PredictIt, Betfair) assigned Trump 25-35% odds — substantially more aligned with the eventual outcome
- 2020 US election: Polling suggested a decisive Biden victory. Markets more accurately reflected the competitive nature of the contest, particularly regarding battleground state dynamics
- 2024 US election: Polymarket pricing for Trump (55-65% in the final seven days) proved more reliable than aggregated polling data that portrayed the race as genuinely uncertain
- Brexit 2016: Polls indicated an essentially even matchup. Prediction markets valued Remain at 75% — neither was correct, yet markets demonstrated superior price adjustment as results emerged
Why markets beat polls
The superiority of prediction markets stems from fundamental structural differences rather than random variation:
1. Skin in the game
Survey respondents incur no penalty for providing unreliable information. They may misrepresent preferences (social acceptability concerns), provide thoughtless responses, or decline participation entirely (participation gaps). Prediction market participants deploy capital — an extraordinarily potent driver of rigorous, evidence-based decision-making.
2. Information aggregation
Polls employ standardised questionnaires administered to representative samples. Prediction markets compile signals from any participant willing to engage — academic researchers, political operatives, quantitative analysts, ground-level observers, campaign personnel. Market valuations synthesise the totality of accessible information, transcending mere survey data.
3. Continuous updating
Conventional polling unfolds across multiple days with publication delays. Prediction markets recalibrate instantaneously as fresh information materialises. When a candidate stumbles or a debate reshapes perceptions, market valuations shift within seconds.
4. No methodology bias
Polling precision hinges on technical decisions: demographic adjustment, voter likelihood calculations, survey design. Competing polling organisations frequently generate substantially divergent estimates. Markets circumvent these procedural considerations entirely — competitive price discovery manages the integration.
When polls still matter
Prediction markets cannot entirely displace conventional polling:
- Thin markets: Modest trading volumes enable distortion through concentrated positions or simply perpetuate the viewpoints of dominant participants
- Demographic detail: Polls segment responses across age cohorts, ethnic backgrounds, geography — markets furnish solely aggregate probability
- Public opinion (not outcomes): Polls quantify citizen sentiment; markets forecast what transpires. These represent distinct inquiries
Academic evidence
A 2023 comprehensive review conducted by scholars at MIT and the University of Pennsylvania determined that prediction markets surpassed polling aggregates in 15 of 17 examined electoral contests spanning six nations. Performance advantages proved most pronounced in races characterised by elevated volatility and significant polling misalignment.
Monitor live prediction market valuations on PolyGram's politics page and observe real-time market assessment of forthcoming contests. Start trading on PolyGram →