This document discusses different perspectives on causality in metaphysics, epistemology, and methodology. It argues that variation, not invariance or regularity, is the key concept underlying causality. Causal assumptions about the context, hypotheses, and models are necessary to guarantee a causal interpretation from statistical analyses. An example analysis of the relationship between health and wealth illustrates how causal assumptions guided the interpretation.