The document discusses methodological and evidential pluralism in causal modeling and argues that despite pluralism in methods and evidence, there is a single underlying rationale of variation. Specifically: 1) While causal modeling uses various methods and evidence, it is guided by a single rationale when reasoning about cause-effect relationships - the rationale of variation. 2) Variation underlies model building and testing and serves as a precondition to notions like regularity and invariance. 3) Regularity and invariance play constrained roles by ruling out accidental variations and granting causal interpretation, but the core rationale is variation.