A raw blockchain is an undifferentiated list of addresses. Analysis begins the moment someone decides that an address belongs to an exchange, a fund, a whale or a bridge. Those decisions are labels, and labels are human.

How labels are made

  • Clustering: linking addresses by shared behaviour, such as co-spending inputs.
  • Disclosure: entities that publicly identify their wallets.
  • Heuristics: patterns that suggest an exchange hot wallet or a bridge contract.

Each method is useful and each can be wrong. Clustering can merge unrelated users; disclosures can be incomplete; heuristics can be gamed.

Why it matters for decisions

If a “whale accumulating” wallet is actually an exchange internal transfer, the signal evaporates. If a “bridge” contract is relabelled as an exploit, the same flow reads as something far worse. Interpretation travels through the label.

How to stay honest

  • Cross-check with at least two data providers.
  • Prefer labels that come from disclosure over pure inference.
  • Watch for relabelling when a story suddenly looks too neat.

The bottom line

Onchain data is powerful precisely because it is public. It is also only as good as the labels attached to it. Treat every tag as a hypothesis, not a fact.