Follow the money.

The dataset shows entities that received substantial federal funding then ceased appearing in the corpus — flagging recipients that went silent after the money flowed.

The dataset shows entities receiving substantial federal funding with no recorded business identity — recipients the federal government cannot independently identify.

The dataset shows circular money flows between charities — reciprocal pairs, triangular cycles, and longer chains. Most loops are structurally normal; the signal is the deviation from norm.

The dataset shows contracts that started small and grew at least threefold through amendments — surfacing procurement relationships that may have outgrown their original justification.

The dataset shows departments where a single supplier or small group receives a disproportionate share of contract spend — incumbency replacing competition.

The dataset shows entities that appear simultaneously across multiple federal, provincial, and CRA charity datasets — sitting at governance crossroads where related-party relationships are more likely to materialise.

The dataset shows the gap between named policy priorities (emissions, housing, reconciliation, healthcare) and the actual flow of funds — concrete spend versus stated plan.

The dataset shows recipients receiving funding from both the federal grants & contributions stream and Alberta provincial grants — entities sitting at the intersection of two funder pools where program duplication is a real risk that funders can verify against.

The dataset shows agreements whose current-amendment description shares few keywords with the original commitment — the contract has drifted from its initial purpose.