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You must have seen such scenes before. When the market declines, everyone starts looking for scapegoats: Did the project team run away? Did the market maker dump the order? Or is there a macroeconomic problem? But few people think about it, in this zero-sum game, the most dangerous weapon is not the dump order, but those "data" you see every day but have never truly questioned.
Funding rates suddenly double before settlement, on-chain whale transfer information is delayed by half a beat, and those so-called "reserve proofs" published daily by RWA projects linked to U.S. Treasuries are vague—what we're really doing is playing an information asymmetry game with real money on a battlefield where data credibility is questionable.
II. What are we actually "trusting"?
Imagine a scenario: you see a certain token suddenly surge, and on-chain data shows a "whale address" sweeping large amounts. Do you dare to follow? What if this "whale" is actually a multi-signature contract, and the real manipulator is the project team?
Looking at the RWA track. A project claims to be 100% aligned with U.S. Treasuries, releasing asset reserve data daily. But how can you be sure these data haven't been tampered with, double-counted, or artificially delayed?
The reality is, most smart contracts in blockchain applications rely on external data inputs, which happen to be the weakest link—and the easiest to manipulate centrally. In a sense, what we need is a truly neutral, transparent, and tamper-proof data infrastructure. This is not a new concept, but implementing it is extremely challenging. The emergence of oracles was meant to solve this problem, but now the question is: are the data sources of oracles themselves trustworthy?