Lately, scrolling through on-chain data has been exhausting, tags, clustering, fund flows all look very much like "I already know who this person is," but honestly, I’d only trust it about 60-70%. An address could be a hot wallet of an exchange, or it could be someone’s sub-account, a payment proxy, or even a borrowed account; no matter how accurate the profile, misjudgments are unavoidable. During this airdrop season, it’s even more obvious—task platforms are increasingly resembling attendance check-ins, and the points system is turning the farming of tokens into a routine like going to work, which makes me feel tired just watching them.

My current filtering method is pretty crude: first, look at where the funds come from and go to, whether the path is looping repeatedly; then, observe the behavior rhythm—does it resemble a “person” operating (pauses, hesitations, that kind of thing). Use tags as signposts, not conclusions. When there’s too much information, I only focus on the pools/protocols where I plan to deposit or withdraw in batches; the rest… forget it, both my eyes and brain need to keep some capacity.