Inside Information Is Not a Side Issue: It Is the Trust Test for Prediction Markets

Prediction markets often defend themselves with a powerful idea. They say the price is useful because it reflects information dispersed across many participants. That argument is strongest when the market is drawing on skill, research, interpretation, and faster synthesis of public facts. It becomes much weaker when the edge comes from confidential access, direct influence over the outcome, or misuse of information that ordinary participants could never lawfully obtain.

This is why inside information is not a side issue in prediction markets. It is one of the central questions that will determine whether the category is trusted, regulated, and allowed to mature.

A lot of people still talk as if the real fights are only about jurisdiction, gambling law, or whether event contracts belong under the Commodity Exchange Act. Those fights matter. But none of them solve the deeper trust problem. A market can win the legal argument and still lose the legitimacy argument if ordinary users believe they are trading against insiders, conflicted actors, or people with privileged access to the event itself.

That is the real test. A prediction market that cannot draw a credible line between expertise and illicit edge will always struggle to defend its relevance to the public.

Prediction Markets Need Information, But Not Every Information Advantage Is Legitimate

The hardest part of this debate is that prediction markets do need informed trading. If everyone knew exactly the same things, thought at the same speed, and interpreted news identically, the market would add very little. Better models, faster interpretation, domain expertise, statistical discipline, and stronger analysis are not problems. They are the point.

The line is crossed when the advantage comes from one of three places:

• Direct influence over the outcome, such as a participant who can affect the event itself.
• Access to confidential or non-public information obtained through an employment, contractual, fiduciary, or other trust-based relationship.
• Improper pressure on the information process, such as attempts to influence journalists, source language, or other resolution inputs for financial gain.

That distinction is what too many people blur when they say prediction markets are supposed to reward information. They are supposed to reward legitimate information processing. They are not supposed to become a monetization layer for private access and conflicted control.

The Regulator Is No Longer Treating This as Hypothetical

In February 2026, the CFTC's Division of Enforcement issued a dedicated advisory on prediction markets and described two concrete Kalshi disciplinary matters. In one case, a political candidate was seen trading on his own candidacy. The trader acknowledged the conduct was improper and violated exchange rules prohibiting trading in a contract over which the trader had direct or indirect influence. The sanctions included disgorgement, a monetary penalty, and a five-year suspension.

In the second case, the exchange found that a trader affiliated with a YouTube channel likely had access to material non-public information about video contents before public release and used that informational advantage to trade a related event contract. The sanctions there included disgorgement, a much larger monetary penalty, and a two-year suspension.

These examples matter because they answer two lazy objections at once. First, they show that prediction market insider-risk is not merely academic. Second, they show that the problem is not limited to grand geopolitical hypotheticals. It can arise anywhere a contract is tied to a decision, release, event, or information flow that some person sees earlier than the public through a duty-based relationship.

The CFTC Has Now Put Inside Information at the Center of the Rulemaking Debate

The March 2026 CFTC rulemaking notice makes the issue even more explicit. In the ANPRM, the Commission created a separate section titled Inside Information. The agency asks whether there is any public interest utility when people with asymmetric information advantages trade these contracts. But it also asks whether that same trading creates manipulation, unfairness, and misuse of inside information.

That framing is important because it captures the real tension. Prediction markets are meant to reveal probabilities, but if the pricing power comes too heavily from insiders or privileged actors, the market stops looking like public information aggregation and starts looking like a gated advantage machine.

The Commission goes further. It explicitly asks how prediction markets are likely to be affected by nonpublic information available to federal government employees or officials. That is not a minor question. It signals that the regulator already understands how uniquely exposed some event categories are to privileged state-linked information.

The Real Distinction Is Expertise Versus Illicit Edge

A serious framework for responsible prediction markets must separate legitimate edge from illegitimate edge far more clearly than the industry often does today.

This table matters because the category will fail if it keeps treating every informational edge as part of the same healthy discovery process. It is not. The market must know when it is rewarding intelligence and when it is rewarding access that should not be tradable.

Some Markets Are Structurally More Vulnerable Than Others

Not all event contracts face the same insider-risk profile. A broad macro market is not the same as a narrow operational one. A contract tied to a long horizon and multiple public signals is not the same as a contract tied to one internal decision, one unpublished video, one journalist's wording, one personnel move, or one official communication that only a small circle sees before release.

That is why responsible platform design cannot stop at generic anti-insider language. The product menu itself has to reflect insider-risk. Markets that depend too heavily on small groups, opaque decisions, unpublished internal information, or fragile resolution sources should face heightened review or never be listed at all.

This is especially true where the event is under the control of a single person or small group. The CFTC itself now asks what role that structural fact should play in regulation and whether prediction markets may be especially exposed to cross-market manipulation in those scenarios. The more concentrated the real-world control, the stronger the argument for tighter limits or non-listing.

Inside Information Does Not Only Mean Government Secrets

One reason this topic is often misunderstood is that people hear insider trading and think only of intelligence agencies, war rooms, or senior policymakers. Those are obviously high-risk cases, but the problem is broader.

Inside information risk can arise anywhere event contracts are linked to unpublished commercial releases, personnel decisions, internal content pipelines, league decisions, private negotiations, nonpublic legal strategy, or journalism that moves or resolves the market before broader public confirmation exists. The YouTube editor case described by the CFTC matters precisely because it shows how ordinary and scalable this problem can become.

If a market category expands faster than the platform's ability to identify these information asymmetries, then growth itself starts to magnify unfairness.

When Settlement Depends on Vulnerable Sources, Integrity Breaks Faster

The recent pressure campaign against journalist Emanuel Fabian revealed another layer of the same problem. Once traders have enough financial incentive, they may stop merely trading on information and start trying to shape the information environment itself. That can mean pressure on reporters, selective interpretation of ambiguous statements, fake screenshots, coordinated narratives, or attempts to exploit unclear settlement language.

This is why inside information cannot be separated from settlement design. If the market can be moved or resolved through vulnerable, ambiguous, or pressure-sensitive sources, then even a platform with strong anti-insider language can still create perverse incentives. A responsible market must therefore protect not only the order book, but also the information process on which the contract depends.

The Correct Standard Is Not Soft Monitoring. It Is Hard Eligibility and Enforcement

Many platforms still speak as if integrity can be achieved through monitoring alone. That is not enough. Monitoring is necessary, but without hard eligibility rules and meaningful sanctions it becomes mostly symbolic.

A real integrity standard for inside information should include at least six layers:

1. Restricted participant rules for people who can influence the outcome or possess confidential information through a duty-based relationship.
2. Market-by-market insider-risk classification so that higher-risk contracts face tighter review before listing.
3. Pre-trade and post-trade surveillance focused on unusual timing, concentrated profits, related-account behavior, and event-linked anomalies.
4. Clear cooperation obligations between the platform, regulators, and where relevant other integrity bodies.
5. Visible and credible sanctions, including disgorgement, financial penalties, suspensions, bans, and escalation where appropriate.
6. Resolution-source protection so journalists, official sources, and other inputs are not turned into pressure points for traders.

Anything materially weaker than this will leave the market open to the criticism that it welcomes privileged access so long as the price ends up looking informative afterward.

The Industry Must Stop Pretending Price Accuracy Solves the Ethics Problem

There is a seductive argument sometimes heard around prediction markets: even if insiders trade, the market becomes more accurate, so perhaps the public still benefits. That argument is incomplete and dangerous.

Accuracy is not the only value a market needs. Fairness matters. Trust matters. The willingness of ordinary participants to engage matters. The willingness of regulators, commercial partners, leagues, and the public to tolerate the market matters. A venue that looks structurally rigged will eventually struggle to defend itself, no matter how often the final price turned out to be directionally right.

In other words, price discovery purchased through tolerated insider abuse is not a stable business model. It is a credibility drain.

What Traders Should Ask Before Trusting a Market

For users, the practical question is not simply whether a market looks smart. It is whether the market looks governable.

Before placing real size on a contract, a serious trader should ask:

• Could someone with direct influence over the event trade this market?
• Could someone with a duty-based informational advantage know the answer materially earlier than the public?
• Does the platform identify restricted participants clearly?
• Would suspicious success in this market actually trigger enforcement, or only vague review?
• Are the resolution sources robust enough that traders cannot pressure them?

If those questions cannot be answered with confidence, then the trader is not just taking event risk. The trader is taking integrity risk.

The Predict Responsibly Standard

Inside information is not a side issue because it goes to the heart of what prediction markets claim to be. If these venues are supposed to aggregate knowledge fairly, they must show that they know the difference between open intelligence and prohibited access.

That means a responsible standard should reject two lazy extremes. It should reject the naïve belief that all asymmetrical information improves the market. And it should reject the equally lazy idea that no informational advantage is acceptable. The right framework is more demanding: legitimate insight must be welcomed, but direct influence, confidential access, and pressure on the information process must be aggressively constrained and punished.

The Bottom Line

The next stage of prediction markets will not be decided only by lawsuits, product growth, or lobbying. It will also be decided by whether platforms can convince regulators and users that they are not quietly building markets where the best trade belongs to the person who was never supposed to know first.

That is why inside information is not a side issue. It is the trust test. If the industry fails it, the category will keep inviting backlash, skepticism, and eventually much harder intervention. If the industry passes it, prediction markets will have a stronger claim that they are not just exciting, but worth trusting.