Prediction markets have been promoted as an elegant mechanism for measuring collective probabilities. In theory, prices summarize dispersed expectations about politics, economics, sports, or culture. Supporters argue that these markets capture the pulse of the world better than many polls ever could. But that promise begins to weaken when the market no longer rewards only intelligent interpretation of events, and instead starts rewarding privileged proximity to the event itself.
That, in my view, is the real problem now coming into focus. There is no need to accuse an entire industry to recognize that a gray zone exists. The case involving a US service member accused by federal prosecutors of allegedly betting with advance knowledge of a classified operation tied to the capture of Nicolás Maduro, together with other episodes involving Iran, political races, celebrities, and online creators, suggests that this debate is no longer theoretical.
What makes this especially troubling is that prediction markets do not merely reflect a topic. They can begin to affect the balance around it. When money is being traded on war, diplomacy, elections, or highly sensitive public events, the presence of participants with early or privileged information undermines the minimum symmetry that gives the market credibility. Price stops looking like an aggregate reading of probabilities and starts to resemble a leak of power. It no longer informs neutrally. It tilts the field.
This is where the second line of criticism becomes especially important. Unlike options or futures, many event contracts do not have a clear underlying asset that allows traders to hedge exposure mechanically. There is no natural spot market behind a celebrity engagement, a political outcome, or a military development. Because of that, some analysts argue these markets resemble risk underwriting, or even parts of sports betting, more than traditional market making. And when risk cannot be efficiently hedged, informational advantage becomes even more valuable.
That combination is dangerous. A fast-growing industry, built around sensitive subjects, powered by strong financial incentives, and operating with imperfect risk-management tools creates fertile ground for distortion. I am not saying every prediction market is compromised. I am saying something more unsettling: if the structure rewards the person who knows first too heavily, then the problem is not just regulatory or ethical. It is functional. The market begins to fail at its own mission of discovering information and instead becomes overly dependent on who gains access to the back room of the event before everyone else.
