The Real War Isn't the One You Think — It's Against Information
While the establishment clutches pearls about "insider trading," prediction markets are already solving the problem they're too slow to understand
A computer screen with a red line on it — Photo by m. on Unsplash
The media is having another one of its periodic meltdowns about prediction markets, this time courtesy of The New Yorker wringing their hands about potential "insider trading" on Trump's foreign policy decisions.
Let me translate what's really happening here: traditional information gatekeepers are watching their monopoly crumble in real-time, and they're not happy about it.
The pearl-clutching centers on a simple reality: people with inside information about military actions might bet on related outcomes before news breaks publicly. Shocking. Next you'll tell me that traders on Wall Street sometimes know things before CNBC reports them.
But here's what The New Yorker misses entirely — prediction markets are already self-correcting for this exact problem.
The Market's Built-in BS Detector
When unusual betting patterns emerge on geopolitical events, market participants notice immediately. Polymarket's activity feeds are public. Kalshi's order books are transparent. Unlike the shadowy world of traditional political journalism, where sources whisper sweet nothings into reporters' ears with zero accountability, prediction markets surface information in real-time with skin in the game.
Take what happened in late 2025 when betting volumes spiked on Middle Eastern conflict escalation 48 hours before any official announcements. Traditional media called it "suspicious." The markets called it Tuesday. Someone knew something, the market aggregated that information efficiently, and everyone else got an early warning system that no newspaper could provide.
That's not a bug — it's the entire point.
The Alternative Is Worse
The establishment's preferred system? A handful of defense reporters with "sources close to the Pentagon" feeding carefully curated leaks to major outlets, who then shape public opinion without any financial consequence for being wrong. Remember all those expert predictions about Afghanistan? Ukraine? Iraq's WMDs?
None of those pundits lost a penny for being catastrophically wrong. In prediction markets, bad information costs real money.
The New Yorker seems to think we can create some pristine information environment where only "authorized" people know things at authorized times. This is the worldview of someone who's never traded a stock, run a business, or understood how information actually flows in the real world.
Markets Don't Lie, People Do
Here's the uncomfortable truth that traditional media won't tell you: prediction markets on military actions have consistently provided more accurate early warning signals than intelligence briefings to Congress. The crowd with skin in the game beats the crowd with security clearances.
When Russia was building up forces near Ukraine in early 2022, Polymarket was pricing invasion odds above 60% while most mainstream outlets were still calling it "posturing." When China began military exercises around Taiwan last year, betting markets reflected escalation risk days before the Pentagon's official statements.
The information was already there. Markets just processed it faster and more honestly than the traditional system of authorized leaks and carefully worded press releases.
Growing Pains of a Truth Machine
Yes, some people with inside information will bet on outcomes they know about in advance. This has been true of every information market since markets existed. The solution isn't to ban the market — it's to make the market deeper, more liquid, and more transparent.
More participants means diluted impact from any single insider. Better monitoring means faster detection of unusual patterns. Regulatory clarity means platforms can implement proper safeguards without fear of arbitrary enforcement.
The New Yorker's solution — apparently shutting down or heavily restricting prediction markets on sensitive topics — is like banning thermometers because you don't like the temperature reading.
The Real Question
Instead of asking how to prevent "insider trading" on Trump's wars, maybe we should be asking why prediction markets are consistently better at processing geopolitical information than our $80 billion intelligence apparatus.
The answer might make some people uncomfortable. But uncomfortable truths are still truths. And in a world where information is power, wouldn't you rather have that power distributed among thousands of market participants instead of concentrated among a few dozen reporters and officials?
The war isn't on foreign soil. It's between old information systems and new ones. Guess which side has skin in the game?
