Prediction markets and beyond

Alex TabarrokScott Duke KominersSonal Chokshi

11.21.24

summary

On the premise and the promise of prediction markets, which hit the main stage with the most recent election — what worked (and didn’t) this time? We tease apart the hype from the reality of prediction markets, but also go more deeply into the how, why, and where these markets work; the design challenges and opportunities (including implications for builders) of these and other information aggregation mechanisms; and more. Where do (and don’t) blockchain and crypto technologies come in? What are some of the most interesting applications, both immediate — like for corporate decisions or scientific replication — and in the near to distant future, across trends like AI, DeSci, futarchy/ governance, and more?

shownotes

with @atabarrok @skominers @smc90

We’ve heard a lot about the premise and the promise of prediction markets for a long time, but they finally hit the main stage with the most recent election. So what worked (and didn’t) this time? Are they better than pollsters, journalists, domain experts, superforecasters?

So in this conversation, we tease apart the hype from the reality of prediction markets, from the recent election to market foundations… going more deeply into the how, why, and where these markets work. We also discuss the design challenges and opportunities, including implications for builders throughout. And we also cover other information aggregation mechanisms — from peer prediction to others — given that prediction markets are part of a broader category of information-elicitation and information-aggregation mechanisms.

Where do (and don’t) blockchain and crypto technologies come in — and what specific features (decentralization, transparency, real-time, open source, etc.) matter most, and in what contexts? Finally, we discuss applications for prediction and decision markets — things we could do right away to in the near-to distant future — touching on everything from corporate decisions and scientific replication to trends like AI, DeSci, futarchy/ governance, and more?

Our special expert guests are Alex Tabarrok, professor of economics at George Mason University and Chair in Economics at the Mercatus Center; and Scott Duke Kominers, research partner at a16z crypto, and professor at Harvard Business School  — both in conversation with Sonal Chokshi.

resources (from links to research mentioned to more on the topics discussed)

As a reminder: None of this should be taken as business, investment, legal, or tax advice; please see a16z.com/disclosures for more important information.

full transcript

 

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