n. the basic principle which says that, temporally, causes must precede their effects. It follows that effects come after causes, and never before. Thus, this is where statistical procedures help categorize causal variables, particularly when the relationships are latent and less direct. See causal latency. Also causal path- causal analysis- false cause- reverse causality.
CAUSAL ORDERING: “Causal ordering stipulates the condition that causes must come before effects, and not vice-versa.”