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How prediction markets could restore trust in science and expose fraud.

ResearchHub

43,227 subscribers

14,344 次观看 • 1 年前 •via X (Twitter)

教育新闻政治科学技术

Anya Rossi• Live Now

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8 条评论

DeSci_CTO🧪 的头像

DeSci_CTO🧪1 年前

#DeSci is not just about research, it's about a community-driven approach to solving global challenges. Join us in this scientific revolution. $DeSci = 🧪 24nieqR3QwoMxM79mvekz8SBUqzx26aNVUUmCUggpump

Art.pump (q/acc) 的头像

Art.pump (q/acc)1 年前

Prediction markets are inaccurate with YES/NO choices. We should focus on the approach of embracing uncertainty, as team @antitokens did. Without this mechanism, prediction markets are not objective, especially when it comes to science☯️

crickhitchens 的头像

crickhitchens1 年前

Prediction markets in sports, politics, etc work because the average person has access to enough info to make a judgment. Prediction markets in science won't likely work because the average person doesn't have access to key info, the type of info gained during a phd education.

thibauld 🌍🔥⏳🦇🔊 的头像

thibauld 🌍🔥⏳🦇🔊1 年前

@CoinbaseDuck Lots of truth in there! Wdyt @CompSysMed ?

Deji 的头像

Deji1 年前

Really great idea. Would be good to see how the rewarding works out

TuumIO 的头像

TuumIO1 年前

Prediction markets in science could be the ultimate trust hack

Neil Collins 的头像

Neil Collins1 年前

@brian_armstrong you have Mail

fewoas-q/acc 的头像

fewoas-q/acc1 年前

$ANTI and $PRO are an experimental token duo exploring quantum-like tokenomics on Solana. With the Collider smart contract, they will be able to map out confidence levels and uncertainties in prediction markets, DAO governance, and DeSci voting.

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