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I was unable to find a TOC for the book you mention, but the causality book's TOC can be seen here . I am also behind schedule because I didnt have people to discuss with, so have not reached the interventions part of the book. From what I see, causality is about the basics of graphical models, with a focus on causal models. This includes inferring what the graphs are like from the data, dealing with unobserved variables, dealing with sudden actions like fixing a variable etc. All the topics in the book you mention find their place here, but i dont know how the books compare