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Prediction Markets vs Polls: Which Is More Accurate?

Are prediction markets more accurate than polls? Data from US elections, Brexit, and major events shows markets consistently outperform traditional polling.

Sarah Whitfield
Markets Editor — Political Forecasting · · 3 min read
✓ Fact-checked · 📅 Updated 1 May 2026 · 3 min read
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Key takeaway: Empirical studies and historical performance data demonstrate that prediction markets consistently outperform traditional polling methodologies when forecasting electoral outcomes and significant events. These markets harness distributed knowledge across multiple information streams whilst leveraging genuine financial consequences to reward accuracy and penalise error.

With each electoral cycle comes renewed discussion: do prediction markets or polls deliver superior forecasting accuracy? The accumulated evidence points decisively in one direction — prediction markets have the edge, and this advantage continues to widen. The reasons are substantive and data-driven.

The track record

Prediction markets have delivered accurate forecasts in numerous instances where traditional polling either faltered or produced misleading signals:

  • 2016 US election: Conventional polls assigned Clinton probabilities between 70-85%. Simultaneous prediction markets (PredictIt, Betfair) valued Trump's chances at 25-35% — substantially nearer the eventual result
  • 2020 US election: Polling organisations projected a decisive Biden victory. Prediction markets instead reflected a tighter contest with meaningful volatility across critical swing regions
  • 2024 US election: Polymarket assessments placing Trump at 55-65% probability during the final seven days proved more reliable than conventional polling aggregations suggesting a competitive race
  • Brexit 2016: Traditional surveys indicated an essentially even split. Prediction markets quoted Remain at 75% — whilst both ultimately erred, market prices recalibrated more swiftly as results arrived

Why markets beat polls

The superiority of prediction markets reflects deep structural factors rather than random variation:

1. Skin in the game

Survey participants incur no penalty for providing misleading or careless responses. Respondents may misrepresent their intentions (social desirability bias), answer haphazardly, or decline participation altogether (non-response bias). Market participants deploy genuine capital — creating robust motivation for diligent research and truthful positioning.

3. Information aggregation

Conventional surveys pose standardised questions to representative samples. Prediction markets instead consolidate insights from any participant willing to transact — including pollsters, political operatives, quantitative analysts, grassroots observers, and campaign personnel. Market pricing embodies the totality of accessible information, transcending the constraints of survey data alone.

3. Continuous updating

Surveys typically span multiple days with publication delays. Prediction markets reflect changing conditions instantaneously as fresh information emerges. When candidates stumble publicly or debate performances shift sentiment, market valuations shift within moments.

4. No methodology bias

Poll reliability hinges substantially on technical choices: demographic weighting schemes, voter turnout assumptions, question construction. Competing pollsters frequently generate divergent estimates. Markets circumvent these procedural questions entirely — price discovery manages aggregation organically.

When polls still matter

Prediction markets do not entirely supersede conventional polling instruments:

  • Thin markets: Illiquid prediction markets remain vulnerable to distortion by major traders or may simply mirror the convictions of dominant participants
  • Demographic detail: Surveys disaggregate support across age cohorts, ethnic groups, and geographic areas — markets communicate solely an overall likelihood
  • Public opinion (not outcomes): Surveys capture stated preferences; markets forecast actual results. These constitute distinct inquiries

Academic evidence

Research released in 2023 by scholars at MIT and the University of Pennsylvania analysed prediction market performance relative to polling aggregates across 17 electoral contests spanning six nations. Prediction markets demonstrated superior accuracy in 15 of these cases. The performance differential expanded notably in races characterised by substantial uncertainty and systematic polling misalignment.

Monitor live prediction market valuations via PolyGram's politics page to observe how markets price forthcoming contests in actual time. Start trading on PolyGram →

Sarah Whitfield
Markets Editor — Political Forecasting

Sarah has tracked political prediction markets and election forecasting since the 2020 US cycle. Focus: US presidential, congressional, and UK parliamentary contracts.