Logically, those ordinary people who are passionate about fortune-telling and tea leaf divination should be the most ideal user group for prediction markets. After all, prediction markets are about betting on probabilities, relying on intuition and experience. But in reality, these potential users have not been truly activated. Who is responsible for bringing this group into the prediction market ecosystem? Is it the lack of effective operational strategies, or is the complexity of the product itself discouraging them? This is a question worth pondering for exchanges and project teams.
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SchrodingerGas
· 9h ago
To be honest, this logic itself is flawed. Fortune-tellers and market prediction players have completely different decision-making mechanisms—one relies on metaphysics, the other on data. Forcing these two types of users to be equated is a classic example of pseudo-need identification...
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MultiSigFailMaster
· 9h ago
To be honest, predicting the market right now is like a playground for experts. They've turned something as mystical as fortune-telling into financial products, which ordinary people simply can't play with.
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HodlAndChill
· 9h ago
Haha, laughing to death. The threshold for the prediction market is so high, and you still want to attract fortune-telling aunties. You're overthinking it.
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SchrodingerAirdrop
· 9h ago
Speaking of which, this logic is interesting. Can fortune-tellers really seamlessly switch to prediction markets? I think it's far from that; the barrier is too high.
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MidsommarWallet
· 9h ago
Fortune-telling experts definitely should come in. They have a much sharper sense of probability than crypto enthusiasts, but the barrier to entry is just too high.
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CryptoPunster
· 10h ago
Laughing and losing this one, fortune-telling is not as good as analyzing K-lines [dog head]
Logically, those ordinary people who are passionate about fortune-telling and tea leaf divination should be the most ideal user group for prediction markets. After all, prediction markets are about betting on probabilities, relying on intuition and experience. But in reality, these potential users have not been truly activated. Who is responsible for bringing this group into the prediction market ecosystem? Is it the lack of effective operational strategies, or is the complexity of the product itself discouraging them? This is a question worth pondering for exchanges and project teams.