Just saw a friend complaining about the chain game he’s playing—production inflation is way too aggressive, and the pool is almost being drained… kind of heartbreaking.

In the game’s economic model, it’s basically a seesaw between “production” and “consumption.” If production is too high and consumption too low, the value in the pool gets diluted. Then people realize their tokens can’t buy much, and they leave. I saw a protocol before where the whitepaper was pretty well written—things like locking consumption and composite burning. But in the first week after launch, the production amount already exceeded expectations by two times. The burn gate also got stuck badly. In short, it’s basically dead now. I wonder—when designing the economy back then, didn’t anyone model this?

Recently, those on-chain data tools have been criticized as “lagging” and “easy to mislead.” But I think on-chain data for chain games is especially hard to do. Just looking at transaction volume can’t tell when inflation will break. You need to combine contract interaction frequency with the inflow rate into burn addresses. But these tools often update half a beat late. By the time you notice the pool is off, it’s too late to run.

Forget it—I don’t talk about chain games much. But every time I see projects treating “compound growth” as a cure-all, it gives me a headache. Modular composition looks good, but if the economic model isn’t solid, once the party windows shatter, it really cuts deep.