Structural cluster comparison · Jason Smith

Cluster comparison

Side-by-side view of Jason Smith's 6-axis behavioral signature against the 3 most structurally-similar tracked entities. Similarity is computed by cosine distance over the metric vector — entities sharing a row do not share a connection, only a behavioral shape.

Methodology — read this first. Cluster membership is a structural observation about documented behavior, never a claim of social affinity, coordination, or shared intent. Two entities can share a behavioral cluster without ever having interacted. The platform does not infer motive or internal state.

Axis	Jason Smith this entity	Nellie Pou 100.0% similarity	Sarah McBride 99.9% similarity	Gregory F. Murphy 99.9% similarity
Documentation Density	68 (60 facts)	70 (69 facts)	68 (61 facts)	71 (73 facts)
Conduct Contradiction	0 (0/0)	0 (0/0)	0 (0/0)	0 (0/0)
Inferential Dependency	50 (30/60)	46 (32/69)	48 (29/61)	45 (33/73)
Network Centrality	100 (451 conn)	100 (103 conn)	93 (72 conn)	100 (138 conn)
Capital Flow Asymmetry	50 ($0.0M in)	50 ($0.0M in)	50 ($0.0M in)	50 ($0.0M in)
Structural Density	5 (1 findings)	4 (1 findings)	5 (1 findings)	4 (1 findings)

Comparison derived from the same Signature data each entity's /conduct-profile/<slug>/signature page uses. JSON export at /signature.json.