Operator Separability
0ConceptWhether different operators produce measurably different metric profiles. If all operators look the same, the measurement has no discriminative power.
Last updated: 2026-09-01Spec: SigRank Standard v1.0 (proposed)
Definition
Whether different operators produce measurably different metric profiles. If all operators look the same, the measurement has no discriminative power.
Inputs
Metric profiles for multiple operators.
Derived variables
Between-operator variance, within-operator variance, F-ratio.
Claim
If the measurement is valid, different operators should produce significantly different metric profiles.
Test
Compare between-operator variance to within-operator variance. Compute F-ratio and significance.
Observable
F-ratio, p-value, effect size.
Falsifier
Between-operator variance is not significantly different from within-operator variance.
Evidence
Field data shows operator-level differences in yield, SNR, leverage, velocity.
Limitations
Operators using the same tools and workflows may have similar profiles. Separability depends on task diversity.
Lineage
Psychometric validation methodology, SigRank field data. Architecture: mos2es.com/architecture.