Cross-Reference Findings
Algorithmic patterns from 7M+ Canadian government records. Generated 2026-04-07.
Begin LIRIL walkthrough · Act I
5 acts · ~25 min · pre-recorded narration
Methodology: All data from public government sources — Commissioner of Lobbying, Elections Canada, OpenParliament.ca, CRA, and open.canada.ca. Cross-referencing is algorithmic. Correlation does not imply causation. Lobbying is legal and registered in Canada. Being lobbied does not imply wrongdoing. All subjects are entitled to due process.
We downloaded 7 million records from the Canadian government's own databases — lobbying contacts, political donations, parliamentary votes, and procurement contracts. Then we cross-referenced everything.
Below are the patterns that emerged. Each finding is backed by specific data with source links. Red panels are the most significant. Read our methodology.
Generated by TENET5 — cross-referencing 18+ data files from 6 government databases. Each panel loads from verified JSON datasets. Search all 340 MPs.
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Data Sources:
Commissioner of Lobbying |
Elections Canada |
OpenParliament.ca |
open.canada.ca |
Auditor General