- An Ipsos poll reported by Reuters found that 69% of Democrats and 61% of Republicans oppose using prediction markets to bet on election results.
- Opposition also extends to wagers on military actions and government policy decisions, according to the same survey.
- Industry defenders point to forecast accuracy, but critics argue that accuracy does not settle whether election betting should exist at all.
Prediction markets are often presented as a clear window into how elections are likely to unfold, with live probabilities that shift as traders buy and sell. A recent survey suggests that many Americans are uneasy about the wagering that produces those numbers, even when they find the forecasts useful.
What Happened
An Ipsos poll published by Reuters interviewed 4,506 US adults between Sept. 30 and Oct. 5. It asked whether people approved of betting through prediction markets, and the answers were largely negative. Among Democrats, 69% opposed using these markets to bet on election outcomes, while 61% of Republicans did the same. Respondents also disapproved of wagering on military actions and government policy decisions.
The survey measured approval of betting, not confidence in the forecasts themselves. It therefore does not reveal whether respondents distrust the prices or what specific concerns shape their views.
Kalshi, one of the platforms in this space, responded to these debates with its Oct. 6 election update. The changes included labels marking low-volume markets, more prominent trade feeds, and scores that compare its forecasts with actual outcomes. The company also said that most of its traffic comes from people who watch markets rather than trade in them.
The platform has also disciplined market participants. Kalshi said it fined and suspended four congressional candidates for trading on their own races.
Why It Matters
The poll challenges the industry’s central defense. Supporters argue that markets aggregate money and opinions into a price that reflects collective judgment better than polls or commentary. That argument speaks to the quality of the forecast. It does not answer the separate question of whether individuals should be able to profit from the outcomes of elections and government decisions.
For investors and the wider crypto market, the distinction matters. Platforms that want to be treated as trusted sources of political information may find that public skepticism about the business model limits how their forecasts are received, regardless of how accurate they prove to be. Reputational risk can carry commercial consequences, even when no specific rule has been broken.
The candidate case highlights the conflict-of-interest problem. Candidates who trade on their own races occupy a position where political goals and financial incentives can overlap. Even without confidential information or an attempt to influence the result, such trading creates an obvious appearance problem. Insider trading and election tampering are two distinct concerns that arise when people with inside knowledge or influence can profit from a contract tied to the outcome.
Market Context
In a basic election contract, the winning side pays $1 and the losing side pays nothing. A buyer who purchases a candidate’s victory at 60 cents earns 40 cents if the candidate wins and loses the 60 cents if not. The market displays that price as a 60% probability. Traders who believe the odds are too low have reason to buy, while those who believe they are too high have reason to sell. Over time, those decisions push the price toward a collective estimate.
Because anyone can participate, a market may include both informed observers and participants motivated mainly by the chance to gamble. A displayed probability does not reveal which group drove the trading. Kalshi’s trade feeds and low-volume labels are intended to make that composition easier to read.
The platform also draws boundaries around what it lists. Kalshi says its rules exclude relevant political insiders, that it screens accounts, and that it investigates suspicious trades. It also bans contracts on war and death. Some observers argue that tight restrictions are necessary, while others note that blanket bans can push activity toward platforms where misconduct is harder to detect and penalize. The debate over where those lines should sit is unresolved.
What to Watch Next
Readers following this sector should monitor several developments:
- Enforcement disclosures: Detailed explanations of who broke rules, how they did so, and what happened to their trades would give the public a clearer picture of how insider risks are managed.
- Forecast accuracy records: Comparisons between past probabilities and actual results, especially those made while outcomes were still uncertain, would test the information argument directly.
- Transparency of trading activity: Whether platforms continue expanding labels and trade feeds could shape how much users understand about the prices they see.
- Public opinion trends: Future surveys may show whether the opposition measured by Ipsos and Reuters holds steady or shifts as platforms change their practices.
Prediction markets may become increasingly accurate at signaling which candidate is likely to win. Whether voters accept the business model behind those signals is a separate question, and better odds alone will not resolve it.
Source: original report