Structural cluster comparison · Debbie Wasserman Schultz

Cluster comparison

Side-by-side view of Debbie Wasserman Schultz'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	Debbie Wasserman Schultz this entity	Ryan Mackenzie 100.0% similarity	Aaron Bean 100.0% similarity	Gabe Amo 99.9% similarity
Documentation Density	69 (65 facts)	68 (60 facts)	70 (71 facts)	74 (90 facts)
Conduct Contradiction	0 (0/0)	0 (0/0)	0 (0/0)	0 (0/0)
Inferential Dependency	8 (5/65)	8 (5/60)	6 (4/71)	6 (5/90)
Network Centrality	100 (162 conn)	99 (96 conn)	100 (184 conn)	100 (121 conn)
Capital Flow Asymmetry	50 ($0.0M in)	50 ($0.0M in)	50 ($0.0M in)	50 ($0.0M in)
Structural Density	9 (2 findings)	10 (2 findings)	8 (2 findings)	7 (2 findings)

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