/**
 * DRIFT — the temporal-confound detector. The scientific-validity check no optimizer runs: are your results
 * improving because of the variables you changed, or because something you AREN'T controlling drifted over
 * the run — the room warmed up through the day, a reagent batch changed, a sensor aged, the operator got
 * tired? If the part of each score that your variables CAN'T explain trends with the ORDER you measured in,
 * your conclusions may be confounded with time, not caused by your knobs.
 *
 * DRIFT fits a response model to your variables, takes the leftover (residual) of each measurement, and
 * tests whether those residuals correlate with experiment order. A strong correlation flags a likely
 * time-confound — a warning that a "winning" setting might just be the setting you happened to try late, on
 * a good day. It's the difference between a result that replicates and one that doesn't.
 *
 * Honest by construction (DIAKRISIS): correlation of residuals with order is EVIDENCE of a time-confound, not
 * proof of causation (you could have sampled a variable monotonically with time — then it's aliased); it
 * needs enough points and abstains otherwise. It tells you to LOOK, with a measured strength.
 */
import { type Space } from "./space.js";
import { type Observation, type Goal } from "./engine.js";
export interface DriftReport {
    n: number;
    residualOrderCorr: number;
    driftFraction: number;
    detected: boolean;
    note: string;
}
/** Detect whether the part of each score your variables can't explain trends with experiment order. */
export declare function analyzeDrift(obs: ReadonlyArray<Observation>, space: Space, _goal?: Goal): DriftReport;
export declare function driftGauntlet(): {
    score: 0 | 100;
    checks: Array<{
        name: string;
        pass: boolean;
        detail: string;
    }>;
};
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