Causal Inference Without Counterfactuals: Comment

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Causality, mediation and time: a dynamic viewpoint (2012, background): “Keywords: Causal inference; Dynamic path analysis; Granger causality; Local independence; Mediation”
Competing risk regression models for epidemiologic data. (2009, background): “We recognize that important issues such as left truncation and causality (46) as they pertain to competing risks have not been addressed here.”
Generalizing causal inferences from randomized trials: counterfactual and graphical identification (2019, methodology): “We split the nodes R, S, and Z to denote the joint intervention, inducing three counterfactual outcomes [20] (potential outcomes [21]): the participation status under intervention to invite all members of the population to the trial, S; the treatment assignment after intervention to scale-up trial p”