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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 research and historical performance data demonstrate that prediction markets consistently forecast elections and significant occurrences with greater precision than traditional polling. These markets consolidate information from multiple channels and reward accuracy through financial incentives.

With each electoral campaign, the question resurfaces: do prediction markets or polls deliver superior forecasting? The empirical record is now unambiguous — prediction markets deliver better results, and this gap continues to widen. Let us explore the reasons with concrete examples.

The track record

Prediction markets have successfully forecast results in numerous prominent cases where conventional polling faltered or produced misleading signals:

  • 2016 US election: Conventional polling indicated Clinton held 70-85% likelihood of victory. Prediction markets (PredictIt, Betfair) assigned Trump probabilities between 25-35% — substantially more aligned with the eventual outcome
  • 2020 US election: Polling suggested Biden would secure a decisive victory. Markets more accurately reflected the competitive nature of the contest and volatility across pivotal states
  • 2024 US election: Polymarket's final-week Trump probability range of 55-65% proved more reliable than polling aggregates that characterised the race as genuinely competitive
  • Brexit 2016: Polling indicated an extremely tight contest. Prediction markets quoted Remain at 75% — both assessments proved incorrect, yet markets recalibrated more swiftly as results emerged

Why markets beat polls

The superiority of prediction markets stems from fundamental structural characteristics rather than random chance:

1. Skin in the game

Survey participants answering poll questions bear no personal cost for providing misleading information. They may misrepresent their views (social acceptability effects), respond without careful thought, or decline participation altogether (participation gaps). Market participants wager actual capital — an extraordinarily strong motivation for thorough analysis and truthful positioning.

2. Information aggregation

Polls solicit responses using a predetermined questionnaire administered to a representative group. Prediction markets consolidate knowledge from anyone willing to participate in trading — including academic researchers, political operatives, quantitative specialists, regional experts, and campaign personnel. The resulting market price incorporates the totality of accessible information, transcending mere survey data.

3. Continuous updating

Conventional polling typically occurs across multiple days with publication delays. Prediction markets respond instantaneously as conditions shift. When a politician commits a blunder or a public debate alters sentiment, market valuations adjust within seconds.

4. No methodology bias

Poll reliability hinges significantly on technical decisions: population adjustment procedures, voter turnout assumptions, phrasing of questions. Competing polling organisations frequently generate substantially divergent estimates. Markets circumvent these technical considerations entirely — price mechanisms manage the consolidation process.

When polls still matter

Prediction markets cannot fully supplant polling instruments:

  • Thin markets: Markets with minimal trading volume may be subject to distortion or simply mirror the convictions of dominant participants
  • Demographic detail: Polls furnish breakdowns across age cohorts, ethnic backgrounds, geographical areas — markets communicate only an overall likelihood
  • Public opinion (not outcomes): Polls quantify citizen preferences; markets forecast actual results. These represent distinct inquiries

Academic evidence

A 2023 comprehensive review conducted by scholars at MIT and the University of Pennsylvania demonstrated that prediction markets surpassed polling aggregates across 15 of 17 examined election cycles spanning six nations. The performance advantage proved most pronounced in elections characterised by substantial unpredictability and substantial polling inaccuracies driven by partisan factors.

Monitor current prediction market valuations on PolyGram's politics page and observe how markets assess forthcoming developments as they unfold. 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.