The Principle of Change Without Time as a Causal Agent

In many scientific explanations, time is implicitly treated as a causal factor responsible for change. This white paper introduces a methodological principle that relocates explanatory weight from time to change itself. Change is understood as the structural mechanism through which systems transition between states, while time functions exclusively as a human framework for ordering, indexing, and comparing sequences of change. The analysis shows that ordering does not require an independent temporal dimension but follows from the existence of successive transformations. However, not all change gives rise to persistent or identifiable sequences. For a sequence to exist as a structured succession of states, coherence must be preserved across transitions. Only such coherent sequences can support continuity, comparison, and reconstruction. Time, in this view, does not generate or constrain change, but provides a secondary representation of already established sequences. What is commonly interpreted as temporal structure is therefore grounded in the organisation of change itself, rather than in time as an independent variable. The principle is methodological rather than ontological, domain-independent, and compatible with existing physical, biological, and psychological theories. It does not deny temporal representation in formal models but disciplines its explanatory use. By distinguishing between change, sequence formation, and temporal representation, the proposal sharpens explanatory precision and provides a foundation for subsequent work in which stability, identity, and continuity are defined through preserved coherence under change.