Information Markets: How Prediction Markets Aggregate Knowledge
Economists call them "information markets." Traders call them "prediction markets." The technology community calls them "futarchy." All three terms describe the same mechanism: a market that uses financial incentives to aggregate dispersed private information into a public probability estimate.
The Core Insight: Prices Carry Information
Friedrich Hayek's 1945 paper "The Use of Knowledge in Society" established that price systems solve the fundamental problem of aggregating information no single actor possesses. Prediction markets apply this to future events: the price of a YES share aggregates what all market participants collectively know about an event's probability.
Every trader in a prediction market has some private information: a political analyst knows polling quality, a sports bettor knows injury reports, a scientist knows research timelines. When they trade, they embed that private knowledge in the price. The resulting market price is a public signal that includes information no single person has alone.
Applications Beyond Trading
Information markets have been proposed and deployed for:
- Corporate decision-making: Internal prediction markets where employees bet on product outcomes
- Scientific forecasting: Markets on replication of research results
- Policy evaluation: Robin Hanson's "futarchy" — use prediction markets to evaluate policy proposals
- Intelligence community: CIA's Analysis of Competing Hypotheses research used market mechanisms
- Supply chain management: HP used internal prediction markets for sales forecasting
Prediction Markets vs Expert Panels
Traditional forecasting relies on panels of experts who aggregate views through discussion and consensus. Information markets offer key structural advantages:
- Anonymity eliminates social pressure: Experts often anchor to consensus; traders face no reputational cost for contrarian views
- Continuous updating: Market prices adjust instantly; expert panels reconvene slowly
- Financial incentive: Correct forecasters profit; correct expert panelists are rarely rewarded
- No chairperson effect: The room's most senior expert can't anchor the group toward their view
Trade Information Markets on PolyGram
PolyGram hosts hundreds of information markets where your specific knowledge creates a genuine edge. Browse active markets sorted by category to find your domain.
FAQ
- Are prediction markets the same as information markets?
- Yes — "prediction market," "information market," "idea futures," and "event contract" are all used interchangeably. They describe the same mechanism of trading on event outcomes.
- Who invented prediction markets?
- Robin Hanson at George Mason University developed much of the theoretical foundation in the 1990s. Practical implementation began with the Iowa Electronic Markets in 1988.
- Can prediction markets be manipulated?
- Short-term manipulation is possible but expensive to sustain. Research shows manipulators who try to move prices temporarily lose money as better-informed traders correct the price. Large, liquid markets are highly manipulation-resistant.