Prediction markets on a tear: the debate between normative and positive views, and the Robin Hanson futarchy vision
Dec 8, 2025
Key Points
- Robin Hanson, who conceptualized prediction markets in the 1990s, warns that moral opposition on social media could trigger regulatory crackdowns that shut down the entire ecosystem, including Polymarket and Kalshi.
- Current prediction markets show limited practical utility: Trump odds at 55% before the election tightened offered no clear signal for major business decisions, reaching actionable conviction only on election night at 90% and beyond.
- Online debate splits between normative claims about whether prediction markets should exist and harder questions about whether they will persist at scale, with most criticism ignoring adoption patterns that resemble sports betting's limited reach despite legal availability.
Summary
Prediction markets have seized the cultural moment, but the debate splits into two camps that rarely touch: those arguing from moral principle about what should happen, and those trying to predict what actually will happen.
Robin Hanson, the economist who conceptualized prediction markets in the 1990s, frames his long-term vision as one where markets become accepted as offering more accurate estimates on far more useful topics than they do today. His view of current political and policy markets on Polymarket and Kalshi is measured. They may help some people make personal or collective choices, but he expresses limited confidence in their current usefulness and says he doesn't know who is actually using them.
The practical case is narrow. A t-shirt manufacturer in China could plausibly use Trump election odds to decide whether to move production to Singapore if tariffs seemed likely. But even that example illustrates the limits. Prediction markets showed Trump at roughly 55% before the election tightened, hardly a definitive signal for a major operational decision. Only on election night itself, when odds reached 90% and beyond, did they offer clearer conviction.
Hanson's real concern is regulatory and cultural. He fears what he calls a "new prudish temperance movement" on social media could lead to legal restrictions that shut down the entire ecosystem, collapsing not just sports and celebrity betting but also the more ambitious markets he has envisioned since the 1990s. The question is whether that backlash remains confined to criticism online or translates into actual policy action.
Hanson acknowledges but does not resolve a structural tension: reaching his long-term vision for sophisticated policy and decision markets may require first building scale through exactly the sports and entertainment betting that drives moral criticism. The platforms need durability and user attention to survive, and that durability may depend on the very financial products critics find most objectionable.
The separation between normative and positive analysis is real and largely absent from current discourse. Most online criticism focuses on whether prediction markets should exist, a moral claim, rather than on the harder question of whether they will persist, at what scale, and what regulatory environment shapes their evolution. Sports betting became legal and widely available on mobile phones, yet it has not captured everyone the way some feared; many people do not use it even when friction has collapsed. Prediction markets may follow similar patterns of adoption, but that question barely registers in a conversation dominated by principle.