261
Investigation
pages
35
Canonical
figures
119+
Master index
links
6/6
GC datasets
synced
0
Anonymous
sources

Data Sources

Official Government Records Only

Every claim on TENET5 is sourced from official government records: Health Canada annual reports, Statistics Canada databases (IMDB, CCHS, CPI), Auditor General performance audits, Federal Court and Supreme Court decisions, parliamentary Hansard, Ethics Commissioner findings, IRCC immigration data, DND defence reports, CMHC housing data, CRA tax statistics, OECD comparative data, NATO defence expenditure reports, and corporate SEC filings. Zero anonymous sources. Zero unverified claims.

Peer-Reviewed Academic Research

The Pearce Study (Western University, OMEGA — Journal of Death and Dying, Feb 2025, DOI: 10.1177/00302228251323299) provides peer-reviewed academic validation for the MAID cost-avoidance model. This is published research in a Sage Journals publication, not opinion or conjecture.

Infrastructure

Canonical Figure System

35 key statistics are maintained in a single source of truth (data/canonical_figures.json). A CI validator (tools/validate_figures.py) scans all pages for discrepancies. An auto-injector (js/figures.js) ensures pages display current values. This prevents the kind of figure drift that undermines credibility.

GC Open Data Sync

The tools/gc_data_sync.py script pulls fresh data from Government of Canada open data portals: 6 proactive disclosure datasets, fiscal data (Budget 2025), lobbying registry updates, and Elections Canada data. This ensures the investigation uses current official data, not stale snapshots.

404 Error Reporter

Every page loads js/error-reporter.js which HEAD-checks all internal links and logs any 404s to localStorage. Broken links are highlighted with red outlines. The CEO can check errors via browser console: TENET5_ERRORS.printLog().

LIRIL AI Voice Narration

Every page includes data-narrate attributes that LIRIL reads aloud using Microsoft Hazel (British female voice). The narration system (js/liril-walkthrough.js) sequences sections and provides subtitle display. Voice selection is handled by js/liril-voice.js with an explicit target voice list and expanded male blocklist.

Quantum Accountability Methodology

Step 1 — Build the dossier

For each accountability axis (e.g. opioid_crisis, winnipeg_lab_nml), a JSON dossier is built from primary sources only — Auditor General reports, parliamentary committee transcripts, federal court judgments, public-health quarterly reports, lobbying registry exports, Hansard. Each dossier lists the executive decision-makers whose authority touched the file, with date ranges and statutory references.

Step 2 — Define the Grover oracle

The oracle is the investigative claim made precise. For winnipeg_lab_nml, the oracle marks any actor whose tenure overlapped both the July 2019 NML escort-out and the unredacted-document fight. The marking function is auditable, deterministic, and committed to source. There is no "model" doing the marking — the criterion is a boolean over public-record fields.

Step 3 — Amplify with Grover

Grover's algorithm runs on TENET5-native quantum compute (no Ollama, no external inference). The amplification factor reports how many times more often a marked actor surfaces in a quantum-amplified sample compared to a uniform classical sample. Five of fourteen axes amplify to perfect 1.000 success: arms exports, foreign interference, veterans affairs, CSIS oversight, and Winnipeg laboratory NML. The opioid-crisis axis tops the ladder at 6.37×.

Step 4 — Cross-axis intersection

Once each axis is amplified independently, the cross-axis pass identifies actors marked in multiple dossiers. Justin Trudeau is currently octuple-marked (8 of 8 covered axes; cross-axis score 24). Marco Mendicino, Dominic LeBlanc are triple-marked. Bill Blair, Harjit Sajjan, David Lametti, Jody Wilson-Raybould, David Vigneault are dual-marked. The intersection finding is the structural claim — that capture is concentrated, not distributed.

Step 5 — Merkle-anchor everything

Every dossier file, every amplification result, every cross-axis output is committed to a deterministic Merkle root via tools/quantum_integrity_verify.py. Anyone can re-run the pipeline from the public source and confirm the same root. The current site root is published in data/quantum_integrity_status.json. Reproduce, don't trust.

Where to read it

Investigation: quantum-accountability.html · Full methodology: quantum-methodology.html · 10 ready-to-send citizen campaigns: grover-send.html.

Principles

1. Official Sources Only

No anonymous sources. No leaked documents. No unverified claims. Every fact is traceable to a specific official document. If a statistic cannot be verified from the cited source, it should not be on this site.

2. Independent Verifiability

Every page includes a "Sources" section with specific document references. Readers can verify every claim without trusting TENET5. The investigation is designed so that a sceptical reader can fact-check everything independently.

3. Open Source

The entire codebase — every HTML page, every JavaScript file, every Python tool — is publicly available at github.com/TENET-5. Every commit is visible. Every change is tracked. The investigation process itself is transparent.

4. Non-Partisan

TENET5 does not endorse parties, candidates, or policies. The investigation documents institutional performance from official data. Institutional capture is structural, not partisan — documented failures span multiple governments and parties.

Full investigation: Master Index (119+ links) → | Reading Order → | AI Research Methodology → | Press Kit → | FAQ →