Traces the history of prediction markets from 1419 Vatican papal elections through the Iowa Electronic Markets to the Polymarket era, arguing the sector is at an inflection point. Surveys the insider trading scandals (Musk tweets, French elections), moral hazard concerns (assassination markets), and the wave of new entrants (Robinhood, DraftKings, Crypto.com, FanDuel) that signal mainstream adoption. Concludes that prediction markets are evolving, not decaying, but need regulatory clarity and structural reform to mature.

Fits a Bayesian hierarchical model to 292 million trades across 327,000 contracts on Kalshi and Polymarket to decompose calibration errors into structured components: universal horizon effects, domain-specific biases, and trade-size scale effects, which together explain 87.3% of variance on Kalshi. Finds persistent underconfidence in political markets where prices compress toward 50%, and shows that large trades amplify this pattern on Kalshi but not on Polymarket, pointing to platform-specific microstructure differences.

Examines Clinton and Huang's research on 2024 election market accuracy, finding PredictIt at 93%, Kalshi at 78%, and Polymarket at 67%, while also documenting significant cross-platform price divergences for identical contracts near Election Day. Raises concerns about Kalshi's media partnerships with CNN and CNBC, arguing they create incentives for sensational coverage of market movements and potential manipulation of thin markets.

Critical analysis of prediction market reliability during the 2024 US election. Documents how four coordinated accounts controlled 23% of Polymarket's open interest, 41% of volume appeared to be wash trading, and argues current platforms lack the structural conditions for reliable forecasting.

Speculates on how Polymarket's 2024 presidential election market could be manipulated through its oracle system. Argues that Fox News was chosen as an oracle despite being unlikely to call the election for a non-Trump candidate, and that UMA token holders could sway disputed resolution votes given UMA's small market cap.

Characterizes Polymarket as a crypto media/creator economy platform rather than just an event-trading platform. Notes the 166:1 ratio of monthly visits to MAU suggests significant non-trading visitors, and that Polymarket users are older and less focused on maximizing risk-reward compared to typical crypto traders.

Compares prediction markets with traditional polls and expert commentary along two axes: grassroots vs top-down and expertise density. Uses the 2024 Biden-Trump race to show how Polymarket priced in Biden's withdrawal probability while polls measured only head-to-head support.

Analysis of Polymarket's growth trajectory and business model. Notes that 99.2% of trading volume concentrates in political markets and two-thirds of cumulative volume occurred in the last six months, raising questions about sustainability beyond election cycles.