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1Repair Windows errors before they cause bigger problems2Scan for outdated or missing drivers - takes under a minute3Clear out junk files and repair common Windows errorsPrediction markets can offer a useful signal about who may win an election, but they do not measure the same thing as polls—and the evidence does not show that Kalshi odds consistently beat polling. The claim comes from Kalshi co-founder Luana Lopes Lara in an abridged Rapid Response interview listed by Fast Company. The listing identifies her argument, but the interview page was not accessible, so no more specific claim or quotation can be verified.
What does “beat the polls” mean?
A poll and a prediction market produce different kinds of information. Polls ask people about preferences or intended behavior; a prediction market price reflects what traders collectively believe about a defined future event. A market price may be read as an implied probability, but it is not a polling percentage, a vote count, or a guarantee.
Kalshi makes this distinction in its 2026 midterm markets explainer: “polls are about what people want to have happen,” while markets concern what participants think will happen. The company also says, “Kalshi is not a poll, nor is it an oddsmaker.” Those are Kalshi’s descriptions of its own product, not independent proof that its forecasts are more accurate.
To test whether markets beat polls, compare forecasts for the same race, made at the same point in time, for the same target. A market forecasting the winner cannot be fairly compared with a poll measuring candidate preference or vote share unless the questions and timing are aligned.
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What the evidence says—and does not say
Selected election evidence is not a universal verdict
A 2026 Washington Post analysis examined 268 candidates who had a 70% to 80% chance of winning on Kalshi or Polymarket at least once during the two months before their primary. That is a defined set of candidates and a specific pre-primary window, not a controlled finding that markets outperform polls across elections. The article describes markets as potentially useful for predicting outcomes, while noting that political professionals are not replacing polls with them.
The same report quotes PredictIt co-founder John Aristotle Phillips saying prediction markets are “pretty damn good at telling you what the outcome’s gonna be,” but “no good at telling you why people feel the way they do.” The distinction is important: markets can summarize expectations about a result, while polls can help describe voter preferences and motivations.
Historical market findings do not establish Kalshi’s current election accuracy
A July 2025 working paper by Constantin Bürgi, Wanying Deng, and Karl Whelan of University College Dublin’s School of Economics, Makers and Takers: The Economics of the Kalshi Prediction Market, reports average contract returns of minus 20% before fees and minus 22% after fees in the Kalshi data it analyzes. The authors also describe favorite-longshot bias. These are findings about contract pricing and participant returns—not measures of election forecast accuracy, and not a head-to-head comparison with polls.
The paper’s literature review notes earlier research on the Iowa Electronic Markets reporting that its vote-share forecasts for the 1988 U.S. presidential election outperformed opinion polls. That historical result concerns a different market and election; it does not establish how Kalshi performs today.
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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallMarkets have uses beyond elections, but that is not a polling test
A Federal Reserve staff paper, Kalshi and the Rise of Macro Markets, describes event contracts as financial positions whose payoff depends on real-world outcomes and studies how Kalshi prices can be used to construct forecasts for macroeconomic measures. It provides context for how market data can serve as a forecasting input, but it does not assess election polls.
How to judge whether a market forecast is informative
One forecast cannot establish whether a forecaster is generally accurate. A market favorite can lose, just as a poll leader can lose. Probability forecasts are better assessed over many predictions: calibration asks whether events assigned a given probability occur at about that rate, while a proper scoring rule such as the Brier score evaluates the quality of probability estimates across outcomes.
Kalshi says its 2026 midterm markets display Brier scores, low-volume labels, and activity feeds. The company says its displayed Brier-score methodology uses historical data weighted by market volume and time until resolution, and that lower Brier scores are better. It also says forecasting success tends to increase with trading volume. These are platform statements about its display and methodology, not independent validation of performance; low-volume labels at least give users a cue that some prices may be based on thinner trading.
For a useful comparison between polls and markets, check:
- Same target: Is each forecast about the winner, vote share, or voter preference?
- Same timing: Were the poll field dates and market prices captured on comparable dates and at the same forecast horizon?
- Comparable evidence: Are you comparing many forecasts with calibration or a proper score, rather than one market favorite with one poll topline?
- Market context: What are the market’s rules, trading volume, and liquidity? Thin activity can make a quoted probability less informative.
- Polling context: Who was surveyed, how was the sample drawn, and what population and field dates does the poll cover?
Why market odds can be misread or moved
Odds are easy to mistake for a public-opinion measurement or a forecast of the eventual vote count. The Associated Press reported that election administrators worry people may confuse market odds with polls or vote totals. AP also described a concern that a wealthy partisan could move odds to shape perceptions, alongside Kalshi’s counterargument that traders have incentives to correct a bad price.
Kalshi general counsel Rick Heaslip argued to AP that an attempt to manipulate a highly liquid market would fail as the price snapped back and the manipulator lost money. That is the company’s argument as reported by AP, not an independently established rate of successful or unsuccessful manipulation. The practical point for readers is to treat a market price as a signal whose context—including liquidity and rules—matters, not as a standalone measure of what voters think.
How to read Kalshi election odds as a personal-finance reader
A Kalshi election contract is a financial position tied to an event outcome, not a poll and not a simple statement of public opinion. Its quoted probability can be informative, but it should not be treated as certain or as evidence that a candidate has a matching share of voter support. Before relying on an odds figure, identify the event it settles on, how actively it is trading, and whether you need an outcome forecast or insight into voter views.
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