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

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ResearchHub

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14,344 просмотров • 1 год назад •via X (Twitter)

ОбразованиеНовости и политикаНаука и технологии
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Комментарии: 8

Фото профиля DeSci_CTO🧪
DeSci_CTO🧪1 год назад

#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

Фото профиля Art.pump (q/acc)
Art.pump (q/acc)1 год назад

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☯️

Фото профиля crickhitchens
crickhitchens1 год назад

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.

Фото профиля thibauld 🌍🔥⏳🦇🔊
thibauld 🌍🔥⏳🦇🔊1 год назад

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

Фото профиля Deji
Deji1 год назад

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

Фото профиля TuumIO
TuumIO1 год назад

Prediction markets in science could be the ultimate trust hack

Фото профиля Neil Collins
Neil Collins1 год назад

@brian_armstrong you have Mail

Фото профиля fewoas-q/acc
fewoas-q/acc1 год назад

$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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