Structural cluster comparison · Mike Ezell

Cluster comparison

Side-by-side view of Mike Ezell'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	Mike Ezell this entity	Tim Moore 99.9% similarity	Tom Barrett 99.9% similarity	Robert Garcia 99.9% similarity
Documentation Density	73 (85 facts)	70 (68 facts)	74 (88 facts)	68 (60 facts)
Conduct Contradiction	0 (0/0)	0 (0/0)	0 (0/0)	0 (0/0)
Inferential Dependency	7 (6/85)	10 (7/68)	7 (6/88)	7 (4/60)
Network Centrality	92 (68 conn)	85 (50 conn)	100 (173 conn)	93 (71 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)	4 (1 findings)	3 (1 findings)	5 (1 findings)

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