2026-05-08 –, Masaryk Stage
Prediction markets are often framed as “truth machines,” but in practice can resemble gambling platforms prone to manipulation. Recent events show both their power and limits. This talk explores how design choices determine whether they reveal truth, enable speculation, or distort reality in a world monetizing crazy times.
Prediction markets are often framed as “truth machines,” aggregating information and producing accurate forecasts about the future, or even as tools for hedging real-world risks. In practice, however, they can just as easily resemble gambling platforms and may be prone to manipulation. Recent events highlight this tension. Markets around geopolitical conflicts have demonstrated both the power and the limits of crowd-based forecasting. In some cases, low-probability events materialized unexpectedly; in others, poorly designed systems showed how outcomes can be bent, and how economic incentives may lead participants not only to predict reality, but to influence it.
This talk examines how design choices, from oracle architecture to liquidity, governance, and the presence (or absence) of centralized control, determine whether markets surface meaningful signals, enable speculation, or create opportunities for manipulation.
Ultimately, not all prediction markets are alike. Understanding these differences is essential if we want to build systems that inform reality rather than distort it, especially in a world increasingly defined by uncertainty, where we are actively monetizing crazy times.
Lawyer at day, researcher at night, degen at heart. Assisting blockchain projects navigating Swiss and European financial regulations. Bridging the gap between compliance and a crypto mindset, technology and user protection, research and pragmatic solutions.