Concept · business-and-platforms
Election markets
Quick definition. PMs focused on political elections · historically the highest-volume and most visible category, but plagued by accuracy disputes and structural manipulation problems.
Key insights
- The 2024 calibration scoreboard (Clinton & Huang via John Sides): across "more than 2,500 political prediction markets" on IEM, Kalshi, PredictIt, and Polymarket in the final five weeks of the 2024 campaign (>$2B transactions), PredictIt 93%, Kalshi 78%, Polymarket 67% correctly predicted outcomes better than chance. Prices for identical contracts diverged across exchanges, daily price changes were weakly correlated or negatively autocorrelated, and arbitrage opportunities peaked in the final two weeks · undermining the "wisdom of crowds" story.
- Prosperi documents structural distortions in 2024 Polymarket: four coordinated accounts controlled 23% of open interest, ~41% of volume appeared to be wash trading. Current platforms lack the conditions for reliable forecasting in his analysis.
- Building the Truth Machine (Hall & Paschal): six-month empirical study finds only 1.3% of political markets liquid enough to be manipulation-resistant; bid-ask spreads exceed 20% on most contracts; only 53% of resolved US elections appeared on both Kalshi and Polymarket. Proposes stocking relevant questions, cross-subsidizing political liquidity from sports profits, deploying AI MMs where human interest is thin, and standardizing contract definitions across platforms.
- Lou Kerner's Polymarket conspiracy: Fox News chosen as a settlement oracle despite unlikely calling the election for a non-Trump candidate; UMA token holders could sway disputed resolution votes given UMA's small market cap. Frames oracle design as the manipulation surface.
- Sides surfaces a media-incentives concern: Kalshi's CNN and CNBC partnerships create incentives for sensational coverage of market movements and potential manipulation of thin markets.
- The history (Eniola): from 1419 Vatican papal elections through Iowa Electronic Markets to Polymarket era. Surveys insider trading scandals (Musk tweets, French elections), moral hazard (assassination markets), and new entrants (Robinhood, DraftKings, Crypto.com, FanDuel) signaling mainstream adoption. Concludes the sector is evolving, not decaying.
- Lauris's institutional-benchmark thesis: election ETFs (Bitwise's PredictionShares) are one of the three benchmark-building races (alongside corporate event notes and AI capability markets) that determine which categories win institutional capital.
- Park's regulatory arc culminates in Bitwise PredictionShares ETF as the mainstream tipping point for political event contracts · same product that 1988 IEM no-action letter cracked the door for, finally with a retail-product wrapper.
- ASXN: 99.2% of Polymarket trading volume concentrated in political markets and two-thirds of cumulative volume came in the six months before the 2024 election, raising sustainability questions for the platform's election-driven business model.
- fil (Polymarket data analyst): comparison shows Polymarket priced in Biden's withdrawal probability while polls measured only head-to-head support · a demonstration of how PMs aggregate forward-looking signals polls miss.
- Lydia Wu describes Polymarket as a creator-economy / crypto-media platform during election cycles, with the 166:1 visit/MAU ratio suggesting it functions as informational infrastructure beyond the trader population.
- Nam Anh Le's calibration decomposition (frequentist + Bayesian, 96.3% posterior predictive coverage): 292M trades across 327K binary contracts on Kalshi and Polymarket; four-component model explains 87.3% of calibration variance; persistent underconfidence in political markets (prices chronically compressed toward 50%). Large trades amplify the underconfidence in Kalshi politics (Δ = 0.53, 95% CI [0.29, 0.75]) but the effect does not replicate on Polymarket (Δ = 0.11, [-0.15, 0.39]), indicating platform-specific microstructure.
- Election markets are where the regulatory question gets sharpest. Park: Kalshi's appeals court win establishing that "gaming" does not cover financial contracts on election outcomes is the doctrinal pillar holding up the entire industry.
In their words
Only 53% of resolved US elections appeared on both platforms... bid-ask spreads exceed 20% on most contracts.· paraphrased from Andy Hall & Elliot Paschal, *Building the Truth Machine*
Four coordinated accounts controlled 23% of Polymarket's open interest, 41% of volume appeared to be wash trading.· paraphrased from Luca Prosperi, *Prediction Markets (II): Spoiling the Election Love Story*
Where it matters
Election markets are the category that put PMs on the cultural map and the one regulators have moved hardest against. They're also the canary for whether the broader info-finance thesis holds: if elections can't be made liquid and manipulation-resistant, the case for "markets as truth machines" deflates. For Dekant: continuous markets fit electoral questions (vote share by candidate, turnout, margin) naturally and could improve calibration where binary state-by-state contracts compress to 50%.
Connections
- Forecasting accuracy / calibration · election markets are the canonical test case
- Market manipulation / wash trading · heavily documented in 2024 PMs
- Oracle design · Polymarket's UMA + Fox News oracle controversy
- Regulatory classification · the doctrinal hinge for political event contracts
- Federal preemption · state AG challenges target election markets specifically
Platforms linked to this concept
- Polymarket · primary · Polymarket is the canonical election-market platform
- DraftKings Predictions · affected-by · Cited as facing/exposed to Election markets
- FanDuel Predicts · affected-by · Cited as facing/exposed to Election markets
- Robinhood Event Contracts · affected-by · Cited as facing/exposed to Election markets
- Kalshi · implements · Kalshi runs election event contracts
- PredictIt · implements · PredictIt was the original academic election-market venue
Related concepts
- Forecasting Accuracy
- Calibration
- Market Manipulation
- Wash Trading
- Oracle Design
- Regulatory classification
- Federal preemption
Sources
- Benchmarks Are Key to Scale Prediction Markets Institutionally. Question: Which Ones Can Deliver? · Lauris · May 5 2026 ·
- Are Prediction Markets Decaying or Evolving? · Eniola · Mar 4 2026 ·
- Decomposing Crowd Wisdom: Domain-Specific Calibration Dynamics in Prediction Markets · Nam Anh Le · Feb 23 2026 ·
- The Truth Machine Era Is Here · Jeff Park · Feb 19 2026 ·
- The Perils of Election Prediction Markets · John Sides · Dec 18 2025 ·
- Prediction Markets (II): Spoiling the Election Love Story · Luca Prosperi · Nov 2 2024 ·
- My Polymarket Conspiracy Theory · Lou Kerner · Oct 20 2024 ·
- Unveiling Polymarket: The Positioning, Expansion, and Shadows of Crypto Prediction Markets · Lydia Wu · Oct 9 2024 ·
- The Art of Forecasting · fil · Sep 30 2024 ·
- Polymarket: An Election-Driven Success Story · ASXN · Aug 10 2024 ·