Behavioral Signature · Oversight view

MOSAIC

instrument · Palantir government intelligence platform
Methodology — read this first. This page borrows the cross-domain signal-harvesting mechanic that Cambridge Analytica pointed at private citizens, and points it back at public figures via public records — with the output oriented at citizen oversight infrastructure, not persuasion. Every metric below is a sourced count or ratio drawn from primary public records. No metric on this page measures psychology, personality, motive, or intent. The platform documents conduct, not interior state. See methodology for evidence-tier definitions.

S1 // Signature axes

6 numeric structural metrics · each is a sourced count or ratio · derived in code, no LLM interpretation
Behavioral signature radar chart for MOSAIC Doc Density 283 facts Conduct Contradiction 0/0 broken Inferential Dep. 193/283 Network Centrality 15 conn · 15 ctp Capital Flow in $0.0M / out $0.0M Structural Density 1 findings 255075100
AxisScoreUnderlying counts
Documentation Density93/100283 sourced facts · log-scaled (100 ≈ 600 facts)
Conduct Contradiction0/1000 broken / 0 resolved promises
Inferential Dependency68/100193 inferential / 283 total facts · lower = more primary-sourced
Network Centrality59/10015 connections to 15 distinct entities
Capital Flow Asymmetry50/100incoming $0.00M / outgoing $0.00M · 50 = balanced
Structural Finding Density1/1001 structural findings (0 loops + 1 contradictions + 0 promises)

S2 // Structural cluster side-by-side view ↗

5 eligible entities ranked by cosine similarity over the 6-axis signature vector · uses behavior only, not connection-density · JSON export ↗

Cluster membership is a structural observation about documented behavior, not a claim of social affinity or coordination. Two entities share a cluster when their 6-axis behavioral signatures point in the same direction, regardless of whether they have any connection to each other.

  • Hanmi Semiconductor 99.9% similarity
    company · Korean semiconductor equipment manufacturer
    DOC 99 CON 0 INF 70 NET 68 CAP 50 STR 1
  • Stephen Miller 99.9% similarity
    person · Senior White House adviser; immigration policy architect
    DOC 100 CON 0 INF 80 NET 67 CAP 50 STR 1
  • Matt Danzeisen 99.8% similarity
    person · Head of Private Investments, Thiel Capital; co-founder Crescendo Equity Partners
    DOC 84 CON 0 INF 61 NET 62 CAP 50 STR 2
  • Curtis Yarvin 99.8% similarity
    person · Neoreactionary theorist; 'Mencius Moldbug'
    DOC 100 CON 0 INF 83 NET 70 CAP 50 STR 0
  • Starshield 99.5% similarity
    instrument · Classified NRO spy satellite constellation; SpaceX
    DOC 98 CON 0 INF 64 NET 73 CAP 50 STR 1

S3 // Documented pattern reads across the cluster

backward-looking · count-anchored · no forecasts · methodology-locked prose template

Each observation below is a sourced count across the 5 cluster members — what has been documented to date, never a prediction. The platform does not infer what MOSAIC or anyone else in the cluster will do next.

  • Cluster members with at least one closed loop documented
    4 of 5 (80%)
  • Cluster members with at least one contradiction on record
    1 of 5 (20%)
  • Cluster members with at least one documented broken promise
    0 of 5 (0%)
  • Cluster members whose tracked money-flow chains show net inflow
    0 of 5 (0%)
  • Cluster members whose record is >25% inferential (thinner documentation)
    5 of 5 (100%)
What the prose template enforces:
  • Only past-tense observations of what HAS occurred, never future-tense predictions of what WILL occur.
  • Count-anchored ("M of K") so the operator can verify by going to each linked entity's profile.
  • Cluster-level only — never attributed to any single member.
  • Code-generated from raw counts; no LLM-written prose interpretation.

S4 // Citizen oversight surface

where the inversion happens · same data, pointed at accountability infrastructure

For an entity of this type, the following public oversight tools apply. Each link goes to a primary-source government or registered-nonprofit portal — no third-party intermediaries. Where this entity appears in the underlying records, you can pull the documentation yourself.

// What this page does NOT do

methodology humility · required on every behavioral signature
  • Does NOT measure psychology, personality, or any "Big Five" / OCEAN trait.
  • Does NOT predict what MOSAIC will do. Every axis is backward-looking.
  • Does NOT cluster entities for the purpose of guilt by association. Clustering, when added in a future phase, will use behavioral-signature similarity only, never co-affiliation.
  • Does NOT target private individuals. The page is gated to entities flagged as public figures or registered legal entities.
  • Does NOT generate prose interpretation of the metrics. Every score is a count or ratio with the underlying numbers visible — no LLM-written "what this means" paragraph.
Behavioral Signature · derived from data the platform currently holds for MOSAIC. Scores recompute on each request. Corrections / disputes: [email protected].