The night before the 2022 midterms, I watched the polls say "red wave" while the Kalshi markets on House seat totals told a different story. I bought NO on Republicans hitting 240+ seats at 62 cents. That one printed. The polls had missed again, but the market hadn't.
That trade changed how I think about election forecasting. After years on a CME futures desk and now trading prediction markets full time, I've come to trust prices over pundit confidence intervals. Here's why Kalshi beats traditional polling for election forecasts, and why I think more people are starting to figure this out.
Polls measure what people say they'll do. Markets measure what people will pay money to bet on outcomes. That's a fundamental difference.
Pollsters face a growing list of structural problems:
I don't think pollsters are incompetent. I think they're working with a broken instrument and doing their best. But "doing their best" doesn't help me size a position.
Kalshi works differently. When I buy YES on a candidate at 55 cents, I'm putting real dollars on the line. If I'm wrong, I lose that money. If I'm right, I get paid.
This creates a few important dynamics:
This is why Kalshi beats traditional polling for election forecasts in my view. The incentive structure is just better.
I'm not going to pretend prediction markets are magic. They miss too. But the track record is solid.
Academic research comparing prediction markets to polls (including work from economists like Justin Wolfers and Eric Zitzewitz) has generally found that markets outperform polls, especially as elections get closer. The edge isn't huge, maybe a percentage point or two in forecasting accuracy, but it's consistent.
In 2020, markets priced Biden's win correctly while some state polls suggested a blowout that never came. In 2016, markets were too confident in Clinton (around 70-75% on election night), but so were the polling aggregates. The difference is that markets moved faster on election night as Florida results came in. Polls don't update at 8pm Eastern.
If you want to track how these prices move in real time, I post updates and discuss positioning in the Telegram channel I run. It's useful for seeing how traders react to news before the narrative solidifies.
I traded Polymarket for about a year before the geofence pushed US users off. I've also used PredictIt. Kalshi is where I do most of my election trading now, and here's why:
The tradeoff is KYC requirements and US-only access. If you're international, Kalshi isn't an option. If you're American and serious about this, the regulatory clarity is worth it.
You can see the current presidential and congressional markets at kalshi.com.
I don't just check the topline number and call it a day. Here's my actual process:
Watch the spread, not just the mid. A market at 52/54 tells you something different than one at 48/58. Tight spreads mean more confidence in price discovery. Wide spreads mean uncertainty or low liquidity.
Track changes over time, not snapshots. A candidate moving from 40 to 48 over two weeks is more informative than seeing "48" in isolation. Direction and velocity matter.
Compare to polling averages. When markets diverge significantly from poll aggregates, something interesting is happening. Either traders know something pollsters don't, or traders are mispricing. Both are opportunities.
Size positions based on edge, not conviction. I might think a candidate is underpriced, but if I'm only 55% confident, I'm not putting 20% of my account on it. Kelly criterion keeps me in the game.
I'd be lying if I said markets were perfect. They're not.
Liquidity can be thin in down-ballot races. A state legislative contest might have $5,000 in total volume, which means the price is essentially meaningless noise.
Markets can also be slow to process genuinely novel information. If something unprecedented happens (a candidate drops out, a major scandal breaks), the initial price reaction is often wrong as traders figure out what it means.
And there's always the risk of manipulation in smaller markets. It's expensive to move a deep market, but a thin one can be pushed around.
I still think why Kalshi beats traditional polling for election forecasts comes down to incentives. But "beats" doesn't mean "perfectly predicts." It means "probably better on average over time."
Academic research suggests prediction markets typically outperform polls by a small but consistent margin, especially close to election day. Markets incorporate polling data plus other information like early voting and fundraising. They also update continuously rather than in weekly snapshots. That said, both methods miss sometimes. Markets aren't magic, just probably better on average.
Yes. Kalshi is CFTC-regulated and specifically designed for US residents. You'll need to complete KYC verification with your ID and personal information. The platform is USD-based with standard bank transfers or wire deposits. Some states have restrictions on specific contract types, so check the terms for your state before trading.
Polls require sampling, data collection, weighting, and analysis before release, a process that takes days. Market prices update instantly as traders buy and sell based on new information. When news breaks, you'll see the Kalshi price move within minutes. A poll reflecting that same news might not come out for a week.
Kalshi contracts have specific rules for each market that define how unusual scenarios are handled. Generally, if a candidate withdraws, the contract rules determine whether it settles YES, NO, or gets voided. Always read the contract specifications before trading. The resolution source and edge cases are spelled out in the market details page.
Not financial advice. I trade my own money and you can lose yours. Do your own research.