The case
X₁, X₂ independent fair bits. A bounded observer can read one coordinate of what it is given and cannot compute XOR. Two tasks: Q_A = X₁ ⊕ X₂ and Q_B = X₁.
| task | error from raw U = (X₁, X₂) | error from compressed V = X₁ ⊕ X₂ |
|---|---|---|
| Q_A | 50% | 0% |
| Q_B | 0% | 50% |
From U the observer reads X₁, which is independent of X₁ ⊕ X₂, so Q_A is at chance, and Q_B is exact. From V, Q_A is exact, and V is independent of X₁, so Q_B is at chance. An ideal observer solves both from U. The bounded one cannot. This is CLAIM-199’s point made two-sided: a transformation can create usable information for a restricted observer (TERM-064) and, for the same observer, destroy usable information for another task.
What it can show
That a learned legibility regime can be competence-enhancing for one perspective and disabling for another, with no task-independent sense in which it is better or worse. An institution’s reporting can get better at forecasting output and worse at registering a grievance; a defensive process can learn an excellent threat representation that is poor at finding safe engagement.
What it cannot show
That a regime that disables a perspective is a governance failure. Before calling it one, it has to be shown that the representational resources could have served both demands at once (CLAIM-357’s structural conflict against avoidable shortfall). A real resource limit is a different failure from an authority structure that excludes a feasible alternative.