Count · Apply

Count verb → Loom / associations

The Count verb realized as Loom — it computes agreement (cosine), delta, and interaction (Hadamard) between slots to build the agreement graph of which ideas relate. It depends on slots staying unflattened.

Two records' slots point in nearly the same direction under several lenses. What does Count record between them?

Two records' slots point in nearly the same direction under several lenses. What does Count record between them?

A strong agreement edge. Loom (the Count verb) computes agreement as cosine between slots, plus delta (how they differ) and interaction (Hadamard). High agreement across lenses becomes a bright edge in the agreement graph — "these two ideas relate." None of this is possible if the slots were flattened first.

Lines drawn between the stars

The Count verb is realized as Loom. Where Measure built the constellations, Count draws the lines between them — which ideas agree, which differ, which interact. The result is an agreement graph: a map of how the records in a vault relate.

Three measurements per pair of slots

For two slots, Loom computes:

Doing this per lens, across every pair, builds the graph of associations. Crucially, it only works because the no-flatten doctrine kept the slots separate — there have to be distinct slots to compare before “agreement” means anything. Count feeds straight into Differentiate, which asks the sharper question: of all this agreement, how much is new signal versus redundancy?

Practise to master it

Where this sits in the concept graph

Graph node C13 · tier M · target level Apply.

Sources