WHITEPAPER

The Error Bar You Buy Is the Error Bar You Get

Judge severity varies, and the field-standard fix, one average omnibus correction, cannot see where it lands. In a 15,000-draw Monte Carlo simulation over our own judge telemetry, measurement sold at a standard error of 0.20 was delivered at 1.16 with no correction, at 0.79 under the average correction, and at 0.21 under capability-level correction. MODEL OUTPUT

What is inside

The problem. Judge severity varies across capability levels, and one average correction cannot represent a bias that changes sign. The parameterization is wrong, so no amount of data fixes it.
This study. 15,000 simulated certification decisions over the measured severity curve from our own judge probe, with the method appendix, every parameter published, and an honest claim tier: model output at proposed prices, never measured field fact.
The three-way contrast. No correction delivers a standard error of 1.16 against the 0.20 sold. The omnibus average leaves 1.34 points of leniency on weak low-band work and invents 0.73 to 1.44 points of harshness on strong work, the sign-flip an average cannot see. Capability-level correction delivers 0.21 against the 0.20 spec at zero marginal cost, with zero mean residual in every capability cell.
The asymmetry a buyer should care about. A false pass admits a biased judge whose every later measure inherits the bias, a wave-scale contamination event. A false fail costs only the foregone judge-line saving. The risk sits orders of magnitude on the false-pass side, exactly where the average correction leaves 1.34 points of leniency.
Traceability as the mechanism. How per-capability-level correction works, and why it makes every certification decision auditable after the fact, line by line.

The headline contrast lives on the Evidence page; this whitepaper is the depth document: the full simulation, the parameters, and the audit trail.

Get the whitepaper

The full simulation: method, every parameter, the seed, and the audit trail behind each decision.

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What you can do with it

Audit any certification decision we have ever made, line by line. The evidence trail is the product, not a promise about the product.
When a result is challenged, you do not defend a score. You show the record: what the judge saw, how severity was corrected at that performer's level, and why the decision stands.
If a performer was mis-banded, you see exactly where, at which capability level, by how much, and what the corrected decision would have been.

Every number on this page is model output from a simulation on our own judge telemetry at proposed prices, anchored on early, small-sample empirical data. The simulation script, seed, and machine-readable results are published in the whitepaper. Nothing withheld.