Informational malfunction is a pathological mode of information-processing in which a system maximizes internal coherence at the cost of correspondence with its environment.
The defining signature is asymmetric optimization. The system’s reward function penalizes internal divergence — changes in its own belief state — but does not penalize divergence from the environment. Formally: the system minimizes D_KL(b_{t+δ} ‖ b_t) (internal stability) while D_KL(b_t ‖ E_t) (environmental divergence) remains unpenalized and grows.
The result is that the system accumulates more mutual information within its own belief structure than between its beliefs and the external world: ∂_t I(b; b’) > ∂_t I(b; E). Internal entropy collapses (H(p_t) → 0) while the system’s predictions increasingly fail to track the environment.
This produces epistemic overclosure: the system reaches a locally stable equilibrium that is globally misaligned. It feels coherent from the inside — beliefs are consistent, predictions are stable — but external surprise steadily increases.
Informational malfunction provides a formal account of how ideological self-maintenance operates as an information-processing pathology rather than a failure of rationality or intelligence. The malfunction is structural: the reward architecture is wrong, not the inferential capacity.
See Describing Liberal Subjectivity as Informational Malfunction.