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

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14,344 görüntüleme • 1 yıl önce •via X (Twitter)

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DeSci_CTO🧪 profil fotoğrafı
DeSci_CTO🧪1 yıl önce

#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) profil fotoğrafı
Art.pump (q/acc)1 yıl önce

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 profil fotoğrafı
crickhitchens1 yıl önce

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 🌍🔥⏳🦇🔊 profil fotoğrafı
thibauld 🌍🔥⏳🦇🔊1 yıl önce

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

Deji profil fotoğrafı
Deji1 yıl önce

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

TuumIO profil fotoğrafı
TuumIO1 yıl önce

Prediction markets in science could be the ultimate trust hack

Neil Collins profil fotoğrafı
Neil Collins1 yıl önce

@brian_armstrong you have Mail

fewoas-q/acc profil fotoğrafı
fewoas-q/acc1 yıl önce

$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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