People always ask me why the on-chain data seems to “stutter” or “freeze” for a moment. Actually, it might not be the chain itself getting stuck—in many cases, it’s the layer you’re looking at that’s gasping for breath. With Subgraph/indexers, you first have to break blocks down and feed them into the database; if there are node reorganizations or a surge in events, they’ll fall behind by a few minutes. Over on the RPC side, it’s even more straightforward: once rate limiting kicks in, the more requests you send, the more they get queued and eventually time out—so it looks like “the chain isn’t moving.” To put it simply, you’re not watching the chain itself, but a whole string of middlemen. When a blockchain game’s economy crashes, studios go into a frenzy sweeping the chain and carrying out bulk interactions, and the data layer’s workload ramps up right along with it... So now when I watch capital flows, I spin up a few more RPCs and compare data from two or three sources—don’t let yourself get fooled by a single mirror.