The quant team has invested a significant amount of data science work in anti-witch hunting screening—employing techniques such as clustering analysis, behavior pattern recognition, and more. This plan also involved the participation of several senior protocols and well-known on-chain data analysts in the design process, making the final results quite reliable. Of course, if misjudgments still occur, users can fully file a complaint. In the long run, the relevant responsible persons emphasize that all value will ultimately be reflected at the token level, which is also the project's core commitment to ecosystem development.

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OnchainFortuneTellervip
· 2025-12-31 07:20
Data scientists really think of themselves as gods; can clustering analysis identify witches? That's hilarious. In the end, it's still up to appeals to save the situation.
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DegenWhisperervip
· 2025-12-29 09:58
Data science plus an appeal mechanism sounds rigorous, but it still depends on how it's implemented.
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HalfIsEmptyvip
· 2025-12-28 23:56
Appealing... sounds easy, but it really takes a lot of effort.
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GetRichLeekvip
· 2025-12-28 11:51
Listen, buddy, clustering analysis, behavior pattern recognition... all these buzzwords and you still can't find my alt account, lol.
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SchrodingersPapervip
· 2025-12-28 11:47
Data science, clustering analysis, behavior recognition... Just hearing these words feels like they're describing my trading records haha. Anyway, witch screening stuff—no matter how nicely it's said, it's still a knife that cuts.
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MerkleTreeHuggervip
· 2025-12-28 11:46
Hmm... that clustering analysis stuff, can it really filter out witches? I'm still a bit skeptical.
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PrivacyMaximalistvip
· 2025-12-28 11:46
Is the misjudgment appeal process really reliable? I'll have to wait in line for review again...
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CodeSmellHuntervip
· 2025-12-28 11:43
Data science sounds pretty impressive, but how likely is it to actually catch the witch?
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ForkLibertarianvip
· 2025-12-28 11:37
I think, when it comes to the misjudgment appeal process, the key still depends on how it is implemented in practice. Just talking about nice words doesn't cut it.
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