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Most users see the visible rate first and assume it is close to what they will ultimately keep. Once you include impermanent loss, gas, slippage, strategy maintenance, and volatility, the APY can compress quickly.

The mechanism matters because yield is never just a number floating in isolation. Two yields that look similar at the surface can be built on totally different economic foundations. The source of the return matters just as much as the size of it.

A different standard is beginning to emerge. That includes modeling expected outcomes, managing downside, optimizing over time, and focusing on net return instead of gross display. The transition is basically from yield chasing to yield engineering.

The difference is understanding. The market may be shared, but understanding is not. Sophisticated allocators tend to examine downside, implementation, and sustainability before they care about the headline yield.

That can mean providing liquidity without fully understanding adverse scenarios, collecting incentives while absorbing downside, or participating without modeling the path of returns. A return that looks easy is often easy precisely because someone else is taking the opposite side of the trade-off. This is where the idea of hidden value transfer becomes important.

Better infrastructure does not eliminate market risk, but it can reduce avoidable process mistakes. The market cannot move toward yield engineering without better infrastructure underneath it.

The point is not that yield is bad — it is that yield has to be understood correctly. It becomes much more useful once you stop treating the display as the whole truth.

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