C.28:10 - Rationale

Temporal change, a higher metric, a convincing graph, or a plausible simulator can all be useful without supporting a causal effect. Conversely, observational data can support a causal estimate when an explicit identification result closes the inferential gap. C.28 therefore separates the question from the components that support it and separates that evidential conclusion from downstream authority.