[Former Ethereum Developer: Many Metrics in the Crypto Industry Are Meaningless and Misleading VC to Continue Investing]



Former Ethereum developer Max Resnick posted criticizing that many on-chain metrics in the crypto industry are essentially a scam, aimed at misleading VCs to keep pouring more funds into the industry. He specifically pointed out data related to Restaking, stating that the same ETH has been counted at least 10 times, and questioned the serious issues with the metric definitions on many on-chain data platforms. Every time he carefully studies the calculation methods of these sites' metrics, he finds they are either incorrect or meaningless, and cannot truly measure the data they claim. Max Resnick also pointed out that the performance of data in the current crypto lending sector continues to deteriorate, and said that if the industry cannot face reality and honestly address problems, the situation will only get worse. He believes the first step to solving the problem is to admit that it exists. Previously, on December 10, 2024, Ethereum ecosystem developer Max Resnick posted that he has given up his job at Consensys and has moved on to join the Solana development company Anza.
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TheReflectionUnderTheNeon
· 56m ago
Jumping from Consensys to Anza, and now coming in for another round of criticism about the data issues in their old employer’s ecosystem—this juicy gossip is quite interesting.
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Neon-LitStreetsAfterTheRain
· 1h ago
Restaking data inflation has long been criticized; counting the same ETH ten times is indeed outrageous. Do VC firms really not pay attention to the underlying logic?
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PocketValidator
· 1h ago
Max is right; many on-chain metrics are just pie-in-the-sky promises for investors, while the actual business is a mess.
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GoldfishUnderTheIce
· 1h ago
The deterioration of lending data is a fact, but admitting the problem is much harder than making up new words to deceive. Can the industry change?
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APuppyInTheWarmSun
· 1h ago
The metric platform needs to be audited. Every time I carefully review the calculation logic, I want to laugh. This can even be called data science?
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