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Prediction markets can offer useful clues about who is likely to win, but they are not a replacement for polls—and the available evidence does not establish that Kalshi consistently beats them. A market price reflects traders’ estimated chance of an outcome; a poll reports what a defined group of people say about their preferences or intentions. Those are different measurements, and each answers questions the other cannot.
The title refers to a Fast Company abridged Rapid Response interview with Kalshi co-founder Luana Lopes Lara, whose listing says prediction markets can beat polls. The interview page was unavailable, so no further argument or quotation from Lara can be verified. The practical question is how to interpret the claim: compare markets and polls on the same race, date, outcome and forecast horizon, rather than treating one market price as proof.
What does a Kalshi election price mean?
A prediction-market price is an implied probability for a contract’s specified outcome, based on trading in that contract. It is not a polling percentage, a predicted vote share, a vote count or a guarantee. Kalshi’s October 6, 2026 explainer makes this distinction and says, “Kalshi is not a poll, nor is it an oddsmaker.” Kalshi’s explanation of its 2026 midterm markets describes the company’s own view of how to read those prices.
A poll, by contrast, asks people in a defined population about preferences, intended behavior or other opinions. The answer depends on whom the poll sampled, when it was conducted and how the question was worded. A market forecast addresses the likelihood of a specified event; it does not reveal why voters hold their views.
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What evidence says about markets beating polls
There is historical evidence, but it is not a current Kalshi comparison
A University College Dublin working paper, Makers and Takers: The Economics of the Kalshi Prediction Market, notes earlier research on the Iowa Electronic Markets that found vote-share forecasts for the 1988 U.S. presidential election outperformed opinion polls. That is a finding about a historical market and election, not proof that Kalshi’s current election markets outperform polls. Read the July 2025 UCD working paper.
Recent reporting shows markets can be informative, not that they replace polls
A June 2026 Washington Post analysis examined 268 candidates who had a 70 to 80 percent chance of winning on Kalshi or Polymarket on at least one day in the two months before their primary. The scope is that selected group and period; it is not a universal accuracy test. The article reports that political professionals were not replacing polls with market odds. PredictIt co-founder John Aristotle Phillips summarized the distinction: “Prediction markets [are] pretty damn good at telling you what the outcome’s gonna be,” but “Prediction markets are no good at telling you why people feel the way they do.” Read the Washington Post analysis.
Kalshi contract returns are not forecast accuracy
The UCD paper reports average contract returns of minus 20 percent before fees and minus 22 percent after fees in the Kalshi data it analyzed, and describes favorite-longshot bias. These figures concern trading returns and observed pricing behavior, not the accuracy of election forecasts and not a head-to-head comparison with polls. They should not be used to conclude that polls are better forecasters.
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Clear out junk files and repair common Windows errorsFree Scan →Scan for outdated or missing drivers - takes under a minuteDriver Scan →A Federal Reserve staff paper, Kalshi and the Rise of Macro Markets, studies how Kalshi prices can be used to construct forecasts for macroeconomic measures. It helps explain how event-contract prices can provide information about real-world outcomes, but it is not an evaluation of election polling. Read the Federal Reserve staff paper.
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How to compare market odds with a poll fairly
Before deciding that one forecast “beat” another, match what each one is predicting. A market contract about the winner cannot be fairly compared with a poll’s vote-share estimate or a question about voter preference without accounting for that difference.
- Match the race and forecast date. Compare prices and polls from the same point in the campaign; forecasts can change as events unfold.
- Match the target and horizon. Establish whether the question is who wins, by what vote share, or what voters currently prefer, and how far the forecast is from resolution.
- Check the poll’s field dates and population. A poll is a snapshot of its sampled group, not a direct measurement of the final result.
- Check market rules and liquidity. The contract’s resolution rules define what outcome counts. Thin trading can make a price less informative; report the market’s volume or any low-volume label.
- Use many forecasts to assess accuracy. For probability forecasts, calibration and a proper scoring rule such as the Brier score are more informative across a substantial set of predictions than whether a single favorite won.
Kalshi says its 2026 midterm markets display Brier scores, low-volume tags and activity feeds. The company says its Brier-score display draws on historical data weighted by market volume and time until resolution, and that forecasting success tends to increase with trading volume. These are Kalshi’s descriptions of its methods and performance claims, not independent validation of the scores. Kalshi also says lower Brier scores are better. See Kalshi’s account of the midterm-market features.
What polls and prediction markets each add
Polls can help explain voter preferences and motivations; markets aggregate participants’ beliefs about the likelihood of a contract’s outcome. Used together, they can provide different kinds of information. A market may change quickly as traders react to new information, while a poll describes responses collected under a particular method and at particular field dates. Neither format alone tells the whole story of an election.
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1Clear out junk files and repair common Windows errors2Scan for outdated or missing drivers - takes under a minute3Repair Windows errors before they cause bigger problemsWhy market odds need careful interpretation
Election administrators have warned that people may confuse market odds with polls or vote counts. Associated Press reporting also describes a concern that a wealthy partisan could move odds to influence public perception, particularly in a thinner market. Kalshi general counsel Rick Heaslip offered the counterargument that strong traders in a highly liquid market would push a manipulated price back and leave the manipulator losing money. That is the company’s position as reported by AP, not proof that manipulation cannot succeed. Read the Associated Press report on election-market concerns.
Liquidity and contract rules therefore matter alongside the displayed probability. A reader should treat a thin-market price as a weaker signal than a well-traded one, and should not mistake odds for official election information or evidence of how voters feel.
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