In this episode of the Web3 with a16z podcast, Sonal Chokshi hosts Alex Tabarrok and Scott Kominers to discuss prediction markets: what they are, how they work, how to design them, and their relevance in various fields. The discussion covers the history and mechanics of prediction markets, emphasizing their ability to aggregate information and produce accurate forecasts, often better than polls. They explore the economic foundations of markets, potential distortions, and the importance of market thickness and diverse participation. The conversation also delves into the role of crypto and blockchain technologies in enhancing commitment, transparency, and composability in prediction markets, as well as potential applications in areas like scientific research, corporate decision-making, and journalism.
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