The document discusses and compares causal analysis and system analysis approaches. Causal analysis aims to identify causes and effects through statistical modeling, assuming a closed system. System analysis views systems as made of interacting elements in reciprocal relationships, without assuming closure or directionality. The document considers whether the approaches can be complementary or are opposed due to differing assumptions. It argues their assumptions clash too much for complementarity and system analysis currently lacks clear methods, though could address some limitations of causal analysis.