Prediction markets
The election market that looked like a classroom experiment
One influential modern prediction market began as a university question, long before event odds became a shareable internet card.
Before the endless feed of odds screenshots, there was a research question in Iowa.
In 1988, University of Iowa researchers created the Iowa Political Stock Market around the U.S. presidential election. Participants bought and sold contracts tied to election outcomes. The point was not a nicer poll graphic. It was to see what happened when people with different information and convictions had a reason to express them through prices. The university's history of the project is a good antidote to the idea that prediction markets appeared fully formed in a phone app.
That origin makes me look differently at today's big percentage. It is not a machine that knows the future. It is a trace of the people able and willing to trade a particular contract at a particular moment.
Four stops, not one straight line
The Iowa market was a university experiment. The later internet made prices and participation easier to distribute, but the businesses that emerged did not all solve the same legal and product problem.
Kalshi announced CFTC designation in November 2020 and opened a public beta in July 2021. That is one route: build a registered U.S. exchange for event contracts. Polymarket's path was different. In January 2022 the CFTC announced a settlement over its then-unregistered U.S. event-contract operations, including a civil penalty and requirements to wind down noncompliant markets. Those are specific dated events, not a shortcut to describing either venue's current legal position.
By 2026, the number and variety of listed event contracts had become large enough that the CFTC's advance notice of proposed rulemaking sought public input on the market's changing shape. A notice asking questions is not itself a final rule. It does show how far the conversation has moved from one election research project.
What survived the interface changes
What interests me is the same question under all four stops: what does a price actually reveal? It can compress disagreement, news and incentives into one visible number. But the meaning of that number depends on who could participate, how much they could trade, what the contract said and how the outcome would be settled.
An election market, a weather market and a five-minute crypto contract can all put a percentage on a screen. They do not necessarily have the same users, liquidity, rules or evidence. More markets give us more things to investigate. They do not automatically give us better forecasts.
The Iowa experiment is still a useful starting point because it leaves the question open. Can trading turn scattered beliefs into information about what comes next? I am building PaperMantis partly because I want a safer place to test what a market's recorded behavior can and cannot tell me. A chart is an invitation. It is a poor place to stop reading.
My version of the classroom question is smaller: if I freeze one rule before the next market arrives, will its later virtual record agree with the story its historical chart told? PaperMantis is where I can try that on supported markets without placing real orders.