estimator-bias

This skill should be used when a fit has to be trusted or the reader needs to know what a fit hides — "is this fit biased", "how wrong is the slope", "is the fitted rate right", "the regression says X but the theory says Y", "estimate the bias of this estimator", "is my regression significant", "the error bars look fine but the answer is wrong", "audit a least-squares fit". Deflates a cubic to prove the decay rate exactly, fits the same rate from the data, reports the gap over four ranges, scans the gap for the ranges where it changes sign, and measures whether the gap is outside the fit's own standard error. Stdlib-only Python 3.10+, no network, no build step.

Version

1.0.0

License

MIT

Compatibility

Python 3.10 or newer, standard library only. No network access, no build step, no third-party packages. Runs on Linux, macOS and Windows.