A Stability Label without Its Defining Target as a Predictor
Abstract
The question concerns simulation-label linear probability model without numeric-margin leakage. The secondary ordinary least squares analysis contains 10,000 observations and uses HC3 covariance. The coefficient on tau1 is 0.0404, with a 95 percent interval from 0.0376 to 0.0431. The label is defined by the numerical margin, so including that margin as a predictor would reveal the outcome rather than learn stability from inputs. Its exclusion makes the information task explicit. Joint constraints and constrained best-arm selection motivate a later action comparison, which would require a simulator or environment rather than this static label table alone. The estimates describe the released collection and its conditioning set. No new data collection, simulator experiment, or deployment-policy evaluation is claimed.
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