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

ResearchHub

43,227 subscribers

14,344 views • 1 year ago •via X (Twitter)

Education News & Politics Science & Technology

Anya Rossi• Live Now

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8 Comments

DeSci_CTO🧪1 year ago

#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)1 year ago

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☯️

crickhitchens1 year ago

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 🌍🔥⏳🦇🔊1 year ago

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

Deji1 year ago

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

TuumIO1 year ago

Prediction markets in science could be the ultimate trust hack

Neil Collins1 year ago

@brian_armstrong you have Mail

fewoas-q/acc1 year ago

$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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