Structural cluster comparison · Sarah Elfreth

Cluster comparison

Side-by-side view of Sarah Elfreth'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	Sarah Elfreth this entity	Lloyd Smucker 99.9% similarity	Kat Cammack 99.9% similarity	John H. Rutherford 99.9% similarity
Documentation Density	70 (70 facts)	76 (99 facts)	79 (122 facts)	70 (71 facts)
Conduct Contradiction	0 (0/0)	0 (0/0)	0 (0/0)	0 (0/0)
Inferential Dependency	57 (40/70)	62 (61/99)	63 (77/122)	54 (38/71)
Network Centrality	89 (59 conn)	100 (125 conn)	100 (156 conn)	91 (66 conn)
Capital Flow Asymmetry	50 ($0.0M in)	50 ($0.0M in)	50 ($0.0M in)	50 ($0.0M in)
Structural Density	4 (1 findings)	3 (1 findings)	2 (1 findings)	8 (2 findings)

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