Legislative Analysis — Index
AI Tribunal: Legislative Analysis
Adversarial multi-LLM analysis of Canadian legislation against a 407-variable causal graph encoding the Seven Laws of Systemic Rot. Every session transcript, every LLM exchange, every amendment iteration — open source, nothing hidden.
45th Parliament
Tribunal reviews of 16 bills. Average composite: 0.204. No bill scored above Neutral. Every bill ignoring housing scored below 0.35. Each review includes analyst assessment, adversarial challenge, adjudicator verdict, prescribed reform package with amendments, companion legislation, sequencing, cost estimates, and failure revenue displacement.
| Rank | Bill | Domain | Composite | Verdict |
|---|---|---|---|---|
| 1 | C-205: National Housing Strategy | Housing | 0.425 | Neutral |
| 2 | C-10: Modern Treaty Implementation | Indigenous | 0.347 | Masking |
| 3 | S-202: Alcohol Warning Labels | Healthcare | 0.344 | Constructive |
| 4 | C-12: Immigration/Borders | Trade | 0.323 | Masking |
| 5 | C-239: CHA Accountability | Healthcare | 0.323 | Masking |
| 6 | C-251: Forced/Child Labour Tariffs | Trade | 0.316 | Masking |
| 7 | C-222: Evan’s Law | Housing | 0.291 | Masking |
| 8 | C-201: Mental Health/Addictions | Healthcare | 0.231 | Masking |
| 9 | C-227: Youth Housing Strategy | Housing | 0.206 | Masking |
| 10 | S-243: Women’s Health Framework | Healthcare | 0.166 | Masking |
| 11 | C-254: Hatred Against Indigenous | Indigenous | 0.070 | Harmful |
| 12 | C-4: Making Life Affordable | Housing | 0.069 | Harmful |
| 13 | C-224: Natural Health Products | Healthcare | 0.063 | Harmful |
| 14 | C-218: MAID (House) | Healthcare | 0.042 | Harmful |
| 15 | S-231: MAID (Senate) | Healthcare | 0.027 | Harmful |
| 16 | S-233: Assault on Health Workers | Healthcare | 0.019 | Masking |
Sovereign Omnibus
0.871 TRANSFORMATIVE — the first proposal in 891 analyzed to cross the 0.800 threshold. Meta-proposal synthesizing 10 reform prescriptions into unified legislation across three pillars: Housing Anchor ($12.5B), Healthcare Bridge ($15.2B), Sovereignty Multiplier ($19.7B). $47.4B total investment to displace $93.7B in annual failure revenue. Three-session validation with adversarially identified gaps found and closed. Read the full article →
Methodology
How the AI Tribunal works. Four-phase adversarial pipeline. Three-seat blind LLM rotation. Seven Laws of Systemic Rot scoring framework. 407-variable RIPPLE causal graph. ABE constitutional authority framework. Full documentation of the analytical infrastructure. (Content coming soon)
Session Transcripts
Raw adversarial session outputs — every analyst assessment, every challenger rebuttal, every adjudicator verdict, unedited. Includes the complete Sovereign Omnibus development arc: Sessions 18–24, showing how adversarially identified gaps were found and closed across iterations. (Content coming soon)
This research is produced by the AI Tribunal — a multi-LLM adversarial analysis pipeline operated by CanuckDUCK. Three AI models (Claude, Gemini, qwen3:8b) independently analyze, challenge, and adjudicate each proposal against a causal graph built through 18 adversarial stress-test sessions. No single model controls the outcome. The system is designed to find flaws, not confirm conclusions.