Risks often interact: one cause can produce several consequences, one consequence can have several causes, and some risks raise or lower the chance of others, forming cascades or loops. Where links matter, a causal model may be built and common causes, drivers or outcomes sought. Interactions can alter priorities or the attractiveness of options, and treatments may serve several risks or affect others, so treatment plans are coordinated rather than set risk by risk.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.