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Comment for Proposed Rule 91 FR 12516

  • From: Arjun Sampath
    Organization(s):
    NA (individual)

    Comment No: 115339
    Date: 4/29/2026

    Comment Text:

    My interest in nonprofit prediction markets comes from working through the limits of information aggregation in practice. In engineering research, you run into the same fundamental problem repeatedly: getting calibrated signals about uncertain outcomes — timelines, failure rates, real-world performance — is hard. Surveys are static snapshots. Expert panels are slow and expensive, and the incentives for participants to anchor on consensus rather than their actual beliefs are substantial. Crowdsourcing gets you volume but not weighting — a thousand unaccountable opinions aren't obviously better than ten accountable ones. Prediction markets solve this by giving participants a direct stake in accuracy. The mechanism is grounded in game theory: you reveal your true beliefs when being right is rewarded and being wrong has a cost. The "price" the market discovers isn't a commodity price — it's a probability, and that probability is the output the research community actually needs.
    This is why I think the Commission's framing in Question 10 — asking what role event contracts play in price discovery and dissemination — lands differently depending on which category of prediction market you're analyzing. For commercial platforms, price discovery serves participants who want to trade on outcomes. For nonprofit research markets, the probability is the product. A well-calibrated market estimate of, say, whether a particular vulnerability class will see widespread exploitation within a given window, or when an emerging defensive standard will reach broad adoption, has direct downstream value when studying trends in cybersecurity best practices. That informational output doesn't exist anywhere else in the same form — not in expert surveys, not in published forecasts, not in crowdsourced polls.
    Treating these two functions under a single regulatory framework risks foreclosing the research function, since nonprofit operators can't absorb compliance infrastructure designed around commercial trading volumes. The CFTC has recognized this distinction before, implicitly, through its no-action letters for the Iowa Electronic Markets and PredictIt — markets that exist precisely because their public-interest character warranted different treatment. The more durable solution is to make that distinction explicit in the Commission's rules, which is what codifying a nonprofit-research pathway would accomplish.

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