Epistemic frontiers and the distinction between causality, information, and predictability in pattern recognition

High predictive accuracy is frequently misinterpreted as evidence of causal understanding or population-level signal. Models can exploit spurious correlations, confounding, or protocol-induced artefacts, while post-hoc explanations may faithfully describe