fix(storm-measure): restore the pre-registered OR decision rule

The brief pre-registers "median forbedring >= 30 % pa (a) eller (b) ->
adopt. < 15 % -> decline." decideVerdict() required BOTH metrics to clear
the adopt bar and BOTH to fall under the decline bar, a rule introduced at
execution time (plan Step 11 restated the brief's wording unchanged).

The divergence is behavioural, not cosmetic: sources +90% / dimensions +10%
is adopt under the brief and was inconclusive in code; sources +2% /
dimensions +20% is decline under the brief and was inconclusive in code.

Adopt is evaluated before decline, so the OR bars do not conflict where they
overlap. docs/storm-measurement.md §2 and the test pins follow the same rule.

The stricter AND rule may well be the better decision procedure — but
changing it after the fact is exactly what pre-registration exists to
prevent. Review finding c37bf50d.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_011vPSXe88qp5aqWUqbDNWoF
This commit is contained in:
Kjell Tore Guttormsen 2026-08-12 22:15:07 +02:00
commit 4c4457f6e9
3 changed files with 34 additions and 14 deletions

View file

@ -155,8 +155,13 @@ export function measure(records) {
}
/**
* Pre-registered mapping. Adopt requires BOTH metrics to clear the bar: a
* breadth win on one axis alone is not the effect the loop claims.
* Pre-registered mapping, verbatim from the brief: "median forbedring >= 30 %
* (a) eller (b) adopt. < 15 % decline." OR on both sides, adopt
* evaluated first so a strong win on one axis is an adopt even when the
* other axis sits under the decline bar. A stricter AND rule may well be the
* better decision procedure, but changing it here is changing the
* pre-registration after the fact, which is the one thing the constraint
* exists to prevent.
*
* @param {number|null} sourcesGain
* @param {number|null} dimensionsGain
@ -165,8 +170,8 @@ export function measure(records) {
export function decideVerdict(sourcesGain, dimensionsGain) {
if (sourcesGain === null || sourcesGain === undefined) return 'insufficient-data';
if (dimensionsGain === null || dimensionsGain === undefined) return 'insufficient-data';
if (sourcesGain >= ADOPT_THRESHOLD && dimensionsGain >= ADOPT_THRESHOLD) return 'adopt';
if (sourcesGain < DECLINE_THRESHOLD && dimensionsGain < DECLINE_THRESHOLD) return 'decline';
if (sourcesGain >= ADOPT_THRESHOLD || dimensionsGain >= ADOPT_THRESHOLD) return 'adopt';
if (sourcesGain < DECLINE_THRESHOLD || dimensionsGain < DECLINE_THRESHOLD) return 'decline';
return 'inconclusive';
}