Structural cluster comparison · Thom Tillis

Cluster comparison

Side-by-side view of Thom Tillis'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	Thom Tillis this entity	Robert Menendez 100.0% similarity	Susan Collins 99.9% similarity	J. French Hill 99.9% similarity
Documentation Density	69 (65 facts)	70 (68 facts)	71 (72 facts)	68 (63 facts)
Conduct Contradiction	0 (0/0)	0 (0/0)	0 (0/0)	0 (0/0)
Inferential Dependency	20 (13/65)	24 (16/68)	17 (12/72)	22 (14/63)
Network Centrality	100 (288 conn)	100 (107 conn)	100 (191 conn)	100 (231 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)	8 (2 findings)	10 (2 findings)

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