When I checked Polymarket this morning, the contract on the passage of the Clarity Act was trading at 32 cents. A dollar gets you the promise of a payout if the bill becomes law by year-end. But Sean Farrell, a policy analyst at Fundstrat who spends his days on the Hill, told his clients that number should be closer to 60. The gap is not a glitch. It’s a feature of a market that systematically excludes the very people who know most about the outcome.
Let me be blunt: we didn’t build blockchains to replicate Wall Street’s information asymmetry. Yet here we are. The Clarity Act—a piece of legislation that aims to give digital assets a clear legal framework—is being priced in prediction markets, but the informed participants are barred from trading. Lobbyists, congressional staffers, even the lawyers who draft the bill are legally restricted from placing bets on its passage. The result is a structural mispricing that looks like an arbitrage opportunity. But is it? And more importantly, what does this tell us about the limits of decentralized information markets?
Context: The Clarity Act and the Two Markets
The Clarity Act is not a fringe proposal. It has bipartisan sponsors and is currently in committee. If passed, it would exempt certain digital assets from securities laws, clarify the role of the CFTC, and provide a safe harbor for token projects. The stakes are enormous—billions in market cap hinge on its outcome. Yet the two primary venues for betting on its fate, Polymarket and Kalshi, operate under very different constraints.
Kalshi is a fully regulated designated contract market (DCM), subject to CFTC oversight. It requires KYC, identity verification, and complies with all U.S. laws, including those prohibiting trading on non-public information. Polymarket, while ostensibly decentralized, has similarly restricted U.S. users after a 2022 CFTC settlement. Both platforms effectively ban anyone who might have material, non-public knowledge about the legislative process from participating.
This is where the civic governance analogy kicks in. Imagine a town hall vote on a new zoning law, but the city planners, the real estate developers, and the lawyers who wrote the ordinance are all locked out of the room. The remaining voters—retail traders, crypto enthusiasts, and algorithm bots—have to guess what the experts would have decided. That’s what prediction market pricing looks like on events like the Clarity Act. It’s a market where noise traders set the price, and silent insiders hold the signal.
Core: The Systematic Bias in Policy Event Markets—Evidence and Anecdote
During DeFi Summer, I led a research team that analyzed Uniswap’s early governance. We found that token holders who showed up to vote were overwhelmingly retail, while the core developers and VCs rarely participated. The result was a series of governance decisions that ignored technical trade-offs because the people who understood them best weren’t voting. I wrote about it then, and I’ll say it now: governance isn’t a smart contract; it’s a social contract. Code is law, but people are the protocol.
The same dynamic is at play in prediction markets for policy events. Consider the evidence: the Clarity Act contract on Polymarket has an implied probability of 32%. But when Sean Farrell speaks to committee staffers, he hears a different story. The bill has broader support than the market thinks. Why? Because the people who know the actual polling of members, the horse-trading behind closed doors, and the pressure from lobbyists cannot legally trade. This isn’t a one-off. It’s a structural inefficiency that repeats every time a major regulatory event comes to market.
Let me give you a concrete example from my work with TrustChain in 2017. We were auditing a DeFi protocol that relied on a specific oracle for price feeds. The oracle team had discovered a latent bug but had not yet disclosed it. I had a conversation with the lead developer, and I knew the risk was real. Yet I couldn’t short the protocol’s governance token because I had material non-public information. The market remained overpriced for three weeks until the bug was announced and the token dropped 40%. The same principle applies here: the information exists, but the people who hold it are legally neutralized.
So what is the true probability?
Based on the information asymmetry argument, the fair price of the Clarity Act contract should be higher—perhaps 50-60%. That would imply a significant mispricing. But there’s a catch: the market might be factoring in a risk premium for the uncertainty of the legislative process itself. The bill could die in committee, be filibustered, or get vetoed. The insiders’ knowledge is only partial. They know the mood, not the outcome. So the discount may be rational, not entirely a market failure.
Yet the scale of exclusion is unique to policy events. In sports or financial markets, professional analysts and even athletes themselves can trade (subject to restrictions, but rarely a blanket ban). In crypto prediction markets, the ban on insiders is absolute and legally enforced. That creates a blind spot the size of a legislative body. Root: The 2022 Bear Market. I saw how this blind spot nearly destroyed a DAO I advised. We were trying to forecast the probability of a regulatory crackdown, but the experts—law firms, compliance officers—were all locked out. The market consistently underestimated risk. We didn’t learn the lesson then. We need to learn it now.
Contrarian: The Free Lunch That Isn’t
Now comes the contrarian angle. If the Clarity Act is so underpriced, why hasn’t someone already bought up all the contracts and driven the price up? The answer lies in capital constraints and the nature of the bet. The liquidity on these contracts is thin. The open interest is small. Even a modest purchase can move the price significantly, but the profit potential is limited by the size of the market. More importantly, the legal risk for insiders is not just about trading—it’s about even signaling their knowledge. A staffer who buys a contract or even tweets optimistically could face investigation. So the information stays locked.
The second contrarian point: Tom Lee’s endorsement may already be priced in. The tweet from the crypto bull is a public signal. In traditional finance, a widely followed analyst’s view gets absorbed quickly. Polymarket is faster than the New York Stock Exchange? Not necessarily. The market might have already moved from 30 cents to 32 cents after his tweet. The easy alpha may be gone. Root: The 2022 Bear Market. I remember how many times I saw a famous tweet pump a price only for it to dump the next day when the market realized the logic was flawed.
Third, and most importantly, the assumption that the market is wrong relies on a single source’s interpretation of off-the-record conversations. Sean Farrell might be right, or he might be suffering from confirmation bias. The policy world is full of spin. A staffer might tell him the bill has support to generate momentum, not because it’s true. The market, in its collective wisdom of hundreds of traders, might be more accurate. The contrarian view is that the 32% price reflects not ignorance, but a sophisticated assessment of the legislative reality: gridlock, election-year politics, and the low probability of any major crypto bill passing before 2025.
Takeaway: The Future of Information Markets
So where does this leave us? The Clarity Act contract is a fascinating case study in the tension between decentralization and regulation. On one hand, prediction markets offer the promise of unbiased collective intelligence. On the other hand, when the most informed participants are legally excluded, the intelligence becomes noise. The solution is not to allow insider trading—that would corrupt the market. The solution is to design markets that can incorporate partial knowledge without violating laws. Maybe anonymous, encrypted votes from insiders that are aggregated but not revealed. Maybe credential-based predictions where staffers can bet but their identities are hidden until settlement. The technology exists.
Governance isn’t a smart contract; it’s a social contract. We didn’t build blockchains to replicate Wall Street’s information asymmetry—but we also didn’t build them to replicate its inefficiencies. The real lesson of the Clarity Act discount is that we need to rethink how we handle information privilege in decentralized systems. As AI agents start trading autonomously on-chain, this problem will explode. Who is liable when an AI’s training data includes non-public information? How do we police that?
The market on Polymarket might be wrong. It might be right. Either way, the price we’re seeing is a symptom of a deeper design challenge—one that won’t be solved by the Clarity Act alone. Root: DeFi Summer. Root: The 2022 Bear Market. The cycle continues. The lesson remains: trust the protocol, but respect the people—and the laws that constrain them.