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Dean argues outcome markets like HIP-4 function as cover venues where traders can hedge against protocol risks. He cites the April 19 Kelp DAO exploit that drained $292M from the rsETH bridge—roughly a fifth of circulating supply—as the largest DeFi exploit of 2024, illustrating why such hedging mechanisms matter for risk management in bridged assets.

Michael's response to the CFTC's March 2026 ANPR on prediction markets argues for a multidimensional public-interest framework instead of treating all event contracts identically. Four dimensions: (1) information structure — markets where outcomes emerge from dispersed knowledge (elections, FOMC) enable Hayekian price discovery; concentrated/low-legibility markets (e.g. "what phrase will the CEO say") collapse into pure access trading. (2) manipulation economics — does the contract create incentives to cause the outcome rather than predict it? Cites Brian Armstrong's Oct '25 Coinbase earnings-call mention market and P2P.me trading on its own fundraise. (3) social utility of the price signal — pandemic/climate/election markets serve public decisions; hyperspecific individual-behavior contracts don't. (4) repugnance — Alvin Roth's framework: some markets degrade something morally significant regardless of manipulation (terminally-ill timing markets, nuclear-detonation contracts).

Reframes "insider trading" as three distinct patterns calling for different remedies: outcome influence (fix via market design, not surveillance), duty breach (the Polymarket Maduro-strike case — misappropriation framework applies), and information advantage without breach (the price-discovery engine — restricting it would erode what the CEA was written to protect).

Third argument: resolution integrity is load-bearing. Event contracts have no external reference price. Three failure modes: rule mutability after listing (Polymarket's '24 government-shutdown contract — resolution language added Dec 20, odds spiked 20%→98%, no shutdown actually occurred), undefined rule hierarchy (Venezuela election overridden via UMA vote despite "primary source" language), single-source oracle vulnerability (Paris-CDG temperature sensor, suspected hairdryer attack, ~$34K in payouts). Whenever resolvers can also hold positions, the incentive to influence resolution is structural. Recommends: original specs as complete reference document, fixed resolution-source hierarchy at certification, cost-of-corruption assessment for single-signal markets.

Kalshi and Polymarket have comparable weekly volumes, but their compositions diverge sharply. Kalshi relies on sports (80-90% of volume) with crypto just 3-5%, creating vulnerability through its 50% dependence on Robinhood distribution as prediction market revenue hits 8.5% of Robinhood's total. Polymarket's crypto volume has surged from 5% at start of 2025 to 30% today, driven by 15-minute Up/Down markets that grew from 5% to 60% of crypto volume, where one address accounts for 52% of volume through systematic mint-and-distribute liquidity seeding that enables arbitrage at scale. Kalshi's newly launched 15-minute crypto contracts show demand signals at $40M weekly volume, but Polymarket's edge may be structural liquidity design rather than product format alone.

Felipe warns against overestimating Polymarket's efficiency, arguing that a +2% price movement doesn't necessarily reflect a true +2% probability shift. Market moves can result from rumor-driven trading rather than genuine information revelation, making prediction market prices unreliable proxies for actual outcome probabilities.