The document discusses interpreting probability in causal modelling approaches in the social sciences. It argues that objective Bayesianism provides the best interpretation of probability for causal modelling by treating probabilities as frequency-driven epistemic probabilities that make use of empirical constraints. This allows probabilities to be applied to both generic and single-case causal claims and helps guide decisions through rational degrees of belief informed by evidence and experience.