A new Reuters/Ipsos poll puts a hard number on a problem prediction markets have mostly talked around. It found that 69% of Democrats and 61% of Republicans oppose using these platforms to bet on election results. The survey covered 4,506 US adults from Sept. 30 to Oct. 5. It measured approval of betting, not trust in forecasts, so it does not settle every question. Still, the result undercuts the industry’s usual defense that its prices produce better information.
Prices are clear, the business is not
Prediction markets turn a campaign into a single number. Buy a candidate at 60 cents and the market reads as a 60% chance. The appeal is obvious. You can check it in seconds. Traders put money behind their views, and the price moves as they do. Kalshi says most of its traffic comes from people who watch rather than trade. That matters to its case: a small group can produce a price that a larger audience sees.
But the number only exists because people are wagering on who will govern. Many voters can find a forecast useful and still dislike that arrangement. They may object to outsiders profiting from elections, or to the chance that someone close to a race can use what they know. The poll does not explain every reason behind the opposition. It does show that accuracy alone is not enough to win public support.
Conflicts are the weak point
Kalshi recently fined and suspended four congressional candidates for trading on their own races. The company says it screens accounts and excludes relevant political insiders. Those rules are necessary, but they also point to the core tension. A candidate who bets on their own election has a financial stake in the result. Even without confidential information or an attempt to sway voters, the overlap looks bad. The same concern applies to a campaign staffer who knows an announcement is coming and trades before it lands.
Prediction markets can argue that insider trades improve forecasts. Maybe they do. But the people on the other side lose to knowledge no ordinary research could match. If the trader can also influence the event, the problem grows.
Transparency is the next test
Platforms that want to be treated as sources of political information should expect close review. That means showing the trading behind the odds, comparing old forecasts with actual outcomes, and publishing enforcement decisions in detail. Not just that a rule was broken, but who broke it and what happened to the trades.
Better odds may tell voters who is likely to win. They do not answer whether voters accept the business that produces those odds. Prediction markets now have to defend both the forecast and the market itself.
