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Equation #9 · Chapter 3

Curator Value Function V_curator

Vcurator=SignalselectedNoiseavailable×ContextdepthV_{curator} = \frac{Signal_{selected}}{Noise_{available}} \times Context_{depth}

Curator Value Function

V_curator · Ch 3

(Signal selected ÷ noise available) × context depth. Sell the taste layer, not the generator.

Worked example — A security analyst's Friday email

She reads roughly five hundred vendor advisories a week and forwards the four that actually matter to her estate, each with one line on why it matters here.

It came out at 0.06 on this calculator's scale — and that is strong curation, not weak.

Read the direction, not the digit. Triple the advisories to 1,500 and her four picks stay four: the ratio falls, and what she sells — the sifting — becomes more valuable, not less. Drop her context to zero and it collapses to nothing however good the ratio looks, because that's a Top-10 listicle. Sell the taste layer, never the generator.

Your turn — change one number
Result0.06

Yellow. Thin. Deepen the context or select harder.

Heads up: Appendix A bands this at ≥ 5 for green, but the formula divides by the noise — so any realistic amount of sifting scores far below 1, and the appendix's own note that it 'explodes as noise → ∞' points the other way. The light here is scaled to this calculator's inputs, not to the printed benchmark. Read the direction of travel, not the digit.