Abstract
When case studies are constructed as narratives, then causal explanation can be achieved without either comparison or generalization. Narratives provide paths of causal links on a chronology of actions or events. The links, in turn, can be studied as Bayesian inferences generating Bayesian narratives. The causal paths in a narrative have a Boolean structure.
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