“Don’t judge a book by its cover” -> everyone judges books by their cover “Don’t focus on status” -> everyone is obsessed with status “Be yourself” -> everyone is performing All advice is a confession about human nature - that the opposite behavior is near-universal
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The case will likely make it to Supreme Court but it cuts across typical ideological viewpoints - Conservative justices are textual originalists, which favors Kalshi since the swap definition is broad. But they are also committed to states’ rights, which favors the states. - Liberal justices are typically pro-federal regulatory authority but skeptical of financial industry arguments and sympathetic to consumer protection.
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My assessment: Supreme Court will side with Kalshi and CFTC The definition of ‘swap’ in the Dodd Frank was intentionally broad Unlike the PASPA case, there's now a federal body (CFTC) that has a clear mandate to regulate swaps. So federal preemption supersedes states' rights
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We’re saints offline (drink less, smoke less, have less sex) but degenerates online (gamble with leverage, watch porn, doomscroll TikTok)
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The are only three posts on Instagram: someone gets married, someone goes to Japan, someone runs a marathon
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Excellent post on how crypto is finance but finance is expanding. 1. We’re headed towards a billion active traders. More people now have an “edge” investing in what they know - TikTok trends, games they play, products they use. 2. Permissionless markets allow users to express new behaviors that later pull regulators and institutions forward. E.g. Polymarket ran offshore when banned, then market proved demand, and regulation followed. 3. Markets, price signals, prediction market outcomes, and onchain flows become inputs that any application and agent can act on. Was fun to riff with Jesse on these ideas!
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Napoleon defined military genius as “the man who can do the average thing when everyone else around him is losing his mind.”
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Shreyas Hariharan retweeted
another great piece that'll help you understand prediction markets in greater depth in there you'll find 3 leverages to fight insider trading on prediction markets
A trader called "AlphaRaccoon" predicted 22 out of 23 Google search rankings on Polymarket, data only a handful of Google employees would know. AlphaRaccoon made over $1,000,000. Prediction markets have an insider trading problem. Here's how to fix it: dopaminemarkets.com/p/how-to…
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Prediction markets are actually remarkably good at forecasting political events and economic data All the more important to address insider trading because they function well without it
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interesting read on approaches towards insider trading on prediction markets check it out!
A trader called "AlphaRaccoon" predicted 22 out of 23 Google search rankings on Polymarket, data only a handful of Google employees would know. AlphaRaccoon made over $1,000,000. Prediction markets have an insider trading problem. Here's how to fix it: dopaminemarkets.com/p/how-to…
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There’s a way to solve insider trading in prediction markets, and volumes will grow more as a result: dopaminemarkets.com/p/how-to…
On Squawk Box, Kalshi CEO Tarek Mansour struggles to answer why a Bad Bunny dancer -- who watched rehearsals -- betting on the Halftime Show predictions markets would not be considered insider trading. Sports was estimated to be 90% of betting on Kalshi during the NFL season.
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