Are Prediction Markets Better Than Polls?

Election night, November 2024. Before a single swing state had been called, Polymarket had Donald Trump at 67%. CNN's decision desk was hedging. The polling averages had the race near-even. Somewhere between those two signals, the forecaster's caution and the market's conviction, was the question everyone would be asking by morning: are prediction markets better than polls?

The answer isn't simple. But prediction markets vs polls is no longer an academic debate. It now shapes how campaigns are run, how journalists cover elections, and how millions of people make sense of what's coming next.

Research using data from the Iowa Electronic Markets found that prediction markets outperformed 74% of contemporaneous polls at forecasting final election vote share, particularly in the months before Election Day. But prediction markets and polls answer different questions. Markets forecast the probability of a specific outcome. Polls measure what people currently believe. Whether are prediction markets better than polls depends entirely on what you're trying to know.

The short answer, if you need it fast: Prediction markets beat raw polls more often than not, especially long before Election Day. But they're measuring something different, they have real weaknesses, and neither is a crystal ball.

Prediction Markets vs Polls: They're Measuring Different Things

Before getting into which is better, it helps to be clear on what each one actually measures. This is where most prediction markets vs polls comparisons go wrong from the start.

A poll is a survey. A research organization contacts a sample of people and asks them what they think, or how they'd vote if an election were held today. Results are weighted to account for who responded versus who didn't, and published as a snapshot of current opinion. No one who fills out a poll gains anything for being right. No one loses anything for being wrong.

A prediction market works differently. It's a tradeable contract that pays out based on a real-world outcome. On platforms like Polymarket or Kalshi, you buy a "Yes" share on a question, say, "Will Candidate X win?", for a price between $0 and $1. If they win, your share pays $1. If they don't, it pays nothing. The current market price, say $0.63, reflects what the collective pool of traders is willing to stake on that outcome. In plain terms: 63 cents is what someone is willing to risk to win a dollar.

Polls are measurements. Prediction markets are bets on measurements being right. They were built for different jobs, and everything else in this article rests on that difference.

Why Money Produces a Different Quality of Signal

There's a well-documented problem in survey research called social desirability bias. People answer polls in ways that sound reasonable, or that align with their identity, rather than what they genuinely believe. There's no mechanism to punish that. On a survey form, conviction costs nothing.

In a prediction market, the mechanism runs the other way. Every price you see represents someone who staked real capital on that outcome. Being wrong is expensive. That financial pressure tends to produce more honest signals, because accuracy isn't just virtuous. It's profitable, and inaccuracy has a direct cost.

But the question of who is actually trading matters more than most coverage acknowledges. Think about what it means to put real money on a political outcome. Before prediction markets existed, a Wall Street trading desk that wanted to hedge against Brexit had to short the S&P 500 and hope the correlation held. They lost money when stocks rallied anyway, because they were betting on a proxy, not the event itself. Prediction markets are the direct instrument that didn't exist before.

That's why serious money has followed. The price on Polymarket or Kalshi isn't only retail bettors guessing from their phones. Major trading firms are active participants providing liquidity. Goldman Sachs CEO David Solomon said in early 2026 that his institutional clients were actively looking for ways to bet directly on events: elections, policy decisions, geopolitical outcomes, rather than constructing workarounds through stocks and futures. When that kind of capital enters a market, the prices carry more information than a crowdsourced guess. Though it doesn't guarantee accuracy: sophisticated traders can be systematically wrong together, and more money behind a bad bet doesn't make it right.

Independent research by New York-based data scientist Alex McCullough, published via a publicly accessible Dune Analytics dashboard and covered by CoinDesk and Yahoo Finance, found Polymarket predicted outcomes with approximately 90.5% accuracy one month before resolution, rising to 94.2% in the final four hours. The methodology excluded markets with extreme probabilities (above 90% or below 10%) to avoid skewing results toward foregone conclusions.

(The institutional use of prediction markets for macro hedging is a story of its own. We'll go deeper on it in a separate piece.)

Are Betting Markets Accurate? What the Research Shows on Prediction Markets vs Polls

The most rigorous long-run comparison in the prediction markets vs polls literature comes from a peer-reviewed study of the Iowa Electronic Markets, a real-money election forecasting exchange operated by the University of Iowa since 1988. The finding: IEM vote-share markets outperformed 964 contemporaneous polls 74% of the time at predicting the final two-party vote share. The advantage was largest more than 100 days before Election Day, when polls are still information-poor and markets have already been pricing in dispersed signals from across the electorate.

On the polling side, the American Association for Public Opinion Research (AAPOR) postmortem on 2020 pre-election polling found that state-level presidential polls overstated the Democratic margin by an average of 4.3 percentage points in the final two weeks. The error did not shrink meaningfully in the final week, or in the final three days. Polling closer to Election Day was not a fix.

But there's a rebuttal to the "markets always win" framing that most headlines quietly skip. The Iowa IEM study compares market prices to polls as if they're answering the same question. They're not. A market price is a forecast of the eventual Election Day result. A poll is a snapshot of current preference. When researchers adjust poll numbers to account for expected movement toward Election Day, the gap narrows considerably. Economists David Rothschild and Justin Wolfers published work arguing that time-adjusted polls can match or outperform prediction market prices, and that markets may build in too much uncertainty about how much campaigns actually move public opinion before the vote.

So: are betting markets accurate? Yes, often. More so than raw polls, more often than not, especially over longer time horizons. But the comparison is more conditional than the headline version suggests. Anyone who tells you prediction markets have definitively solved forecasting hasn't looked at the Texas primary.

Are Betting Odds Better Than Polls? The Record, Case by Case

Rather than arguing from theory, it helps to look at the actual track record. The question of whether are betting odds better than polls is written in specific moments, not abstract principles.

When the markets got it right:

In the months before the 2024 U.S. presidential election, prediction markets diverged significantly from polling averages and held that divergence. Polls had the race as a near-toss-up deep into October. Markets were pricing Trump's probability considerably higher, and held it. When results came in, the markets had the better read, particularly in swing states where polling had structural problems with nonresponse and turnout modeling.

Earlier, in July 2024, prediction market odds on Joe Biden winning the Democratic nomination began falling weeks before his withdrawal became public knowledge. Traders were pricing in something that political media was still treating as speculation. The markets moved first, and they moved correctly.

In the 2021 New York City Democratic mayoral primary, Polymarket called Eric Adams' win, including his strength in outer-borough neighborhoods, before any published poll captured the shift. The polls missed it; the market didn't.

When the markets got it wrong:

After voting closed in the Texas Republican Senate primary in 2024, Polymarket declared Ken Paxton the clear winner, with 83% probability based on its platform's positioning. When the actual votes were counted, Paxton and incumbent John Cornyn were separated by less than a single percentage point, forcing a runoff. The market wasn't just wrong. It was confidently, expensively wrong.

Are prediction markets better than polls across these cases? On balance, yes. But the balance isn't overwhelming, and the Texas primary is a useful reminder that high confidence in a prediction market price is not the same as that price being correct.

What Prediction Markets Still Can't Tell You

Polls can tell you something prediction markets never will: why. Understanding that is as important as understanding where markets have the edge.

Polls answer a different question. When you want to know why voters are moving, which subgroups are shifting, what issue is driving a candidate's numbers, prediction markets are silent. A market price tells you the probability of a binary outcome. It doesn't tell you that suburban women in Pennsylvania moved six points in the last week, or why. For diagnosis, you need a poll.

The hardest job in election forecasting isn't calling the winner. It's modeling who actually shows up. Polls do this imperfectly, through likely voter screens and demographic weighting. Prediction markets don't do it at all. They aggregate whatever the traders believe, including their own assumptions about turnout, which may be no better than anyone else's.

Thin markets are vulnerable. Not every prediction market is Polymarket's 2024 presidential contract, with tens of millions in trading volume and dozens of professional participants. Many markets are thinly traded, a few hundred thousand dollars, sometimes less. In those conditions, a single large trader can move a price substantially without that movement reflecting any new real-world information. The Texas primary is partly a story about thin participation producing overconfident prices.

The demographic gap is real. Prediction market participants skew heavily toward crypto-native, financially sophisticated users, disproportionately young, male, and internationally concentrated. That's not the general population, and it's not the voting population. The "wisdom of crowds" argument holds when the crowd is diverse and broadly informed. When the crowd is a specific demographic with its own biases, the prices reflect those biases.

The insider problem has no clean answer yet. In early 2025, an anonymous trader placed approximately $30,000 in bets on Polymarket predicting that Venezuelan President Nicolás Maduro would be removed from power, hours before a U.S. operation resulting in his capture. The profit, estimated by blockchain analysts tracking on-chain settlement data, was over $400,000. Under current law, this is not insider trading in the legal sense: prediction market contracts are regulated as derivatives, not securities, and fall under the jurisdiction of the Commodity Futures Trading Commission (CFTC), not the SEC rules that govern insider trading in stocks. Whether are betting markets accurate in an environment with that kind of information asymmetry is a question the industry hasn't answered, and the CFTC is only beginning to ask.

The Honest Answer to "Are Prediction Markets Better Than Polls?"

Here's the verdict: prediction markets are better at one specific job. Forecasting the probability of an outcome. They're worse at every other job polling does. They can't tell you why opinion is moving, who is shifting, or what would have to change for the result to flip. They produce a live probability. Polls produce a diagnosis. Both are useful. Neither is complete.

The "which is better" framing is itself a little misleading. It implies these instruments are competing for the same job. They're not. Asking are prediction markets better than polls is like asking whether a thermometer is better than a blood pressure cuff. Depends what you're checking. Use betting odds for probability. Use polls for the why. Anyone doing both is ahead of anyone doing one.

Are betting odds better than polls? For forecasting a specific outcome, more often than not. But "more often than not" is not "always", and the Texas primary is sitting right there as a reminder. One costs you something when you're wrong.

PredictionCircle aggregates odds across Polymarket, Kalshi, PredictIt, and major sports betting platforms. We translate market data into stories, for anyone who wants to understand are prediction markets better than polls, what the odds actually mean, and what's coming next.