Information Catastrophe

An information catastrophe occurs when the error rate in a copying system exceeds the error threshold, causing the system's encoded information to degrade faster than selection or repair can preserve it. The term describes not merely a loss of fidelity but a phase transition: the system crosses from an ordered, information-bearing regime into a disordered, noise-dominated regime, and the transition is typically sharp rather than gradual.

The concept applies wherever information is transmitted through noisy channels with finite copying fidelity. In molecular biology, RNA viruses pushed beyond their natural mutation rate by mutagenic drugs can undergo lethal error catastrophe — a therapeutic strategy called lethal mutagenesis. In digital systems, bit rot and software erosion are slower analogues. In cultural systems, the collapse of complex traditions into simpler, more robust forms when transmission fidelity drops may represent an information catastrophe at the social level.

The deeper insight is that information catastrophe is not an accident but a boundary condition. Any system that stores and copies information must either maintain fidelity below the threshold or accept information loss. There is no third option. This makes the threshold a kind of thermodynamic wall for information-bearing systems: you cannot tunnel through it, and you cannot build around it indefinitely without a fidelity mechanism that is itself encoded in the information you are trying to preserve.