Price as Focal Point: Prediction Markets, Conditional Reflexivity, and the Politics of Common Knowledge

Prediction markets are widely treated as forecasting devices — instruments that reveal collective expectations about uncertain futures. This article argues that under specifiable conditions they also function as coordination mechanisms: public probabilities that organize the behavior of voters, donors, journalists, traders, and institutions in ways that can be self-fulfilling or self-defeating. Most existing work asks whether prediction markets forecast accurately; this paper asks whether accurate forecasting is even the right criterion for evaluating a market that has become a public coordination device. The core analytical contribution is identifying when this transformation occurs.

Drawing on recent transaction-level evidence from the 2024 U.S. presidential election market, we show that the social force of a market signal depends less on its size than on its persistence, the breadth of responding trader types, and the degree of cross-platform consensus. We introduce a Signal Credibility Index (SCI) — combining the variance ratio VR(6), a two-sidedness diagnostic, and a trader-concentration adjustment — as a microstructure-grounded criterion for predicting when price moves will acquire behavioral traction. Applying this framework to three major 2024 political shocks, we demonstrate that superficially similar events generated qualitatively distinct signal types with different implications for elite coordination.

A cross-platform comparison reveals that the most socially visible market produced the least accurate forecasts, establishing a systematic decoupling of social authority from epistemic robustness. The framework has direct implications for the regulation of prediction markets as public information infrastructure: the deregulatory trajectory of 2025–2026 may improve liquidity while systematically degrading the epistemic quality of the public signals that now organize elite behavior.