← Case Study

Pathway Decomposer

NIST CSF 2.0 · Break a source-to-target relationship into explicit path products. Recommended opening view: CSF Maturity Tier → Regulatory Exposure.

Why pathway analysis matters

Every association in data travels along at least one directed path. Knowing which paths exist — and how many — reveals what interventions are structurally possible, where back-door confounders enter, and whether a proposed causal claim is plausible given the graph.

A single short path means a direct, mechanistic effect with few mediators to dilute it. Multiple paths mean an intervention on the source produces simultaneous effects through distinct mechanisms, each potentially with different magnitude and timing. This tool is the prerequisite for every other query: before asking how much X affects Y, you need to know through what routes the effect travels.

Start here
  1. Open the recommended scenario for this case
  2. Adjust observed evidence or intervention settings
  3. Move to a second tool without losing context
  4. Compare obs() versus do() where available
  5. Inspect paths, blankets, or CPT structure to explain the shift
Choose a source and target
Path contributions
Model coverage

Visible nodes: 14 · Latent nodes: 11 · Total nodes: 25. Latent nodes are hidden by default except where they are the point of the analysis.