Anomaly

An anomaly is not merely an unexpected experimental result. It is a perturbation that exceeds a paradigm's capacity for absorption — a signal that the conceptual infrastructure may be approaching a phase boundary. In Kuhn's account, anomalies accumulate during normal science until they precipitate crisis and potentially revolution.

But the systems-theoretic reading is more subtle: anomalies are not simply evidence against a paradigm. They are information that the paradigm's representational compression has become lossy — that the map no longer fits the territory at the resolution now demanded by instrumentation and precision. The perturbation that triggers a paradigm shift is rarely the first anomaly. It is the anomaly that finally cannot be absorbed by any auxiliary hypothesis.

The most dangerous anomalies are not the loud ones. They are the quiet discrepancies that everyone learns to calibrate around — the systematic errors that become part of the instrument itself.