---
title: "Comment by Mihai_LeanZero on \"Choose the Reference That Tests the Decision\" | Hashnode"
description: "The five tests hold cleanly for a static artifact like the bearing dataset, where the failure event was recorded once and does not change afterwards. For a refe"
url: "https://hashnode.com/posts/choose-the-reference-that-tests-the-decision/6ab98c2ae9c3a4c7dd5da912/comment/6aba021a81ec09d3efac9410"
---

[Discussion](https://hashnode.com/posts/choose-the-reference-that-tests-the-decision/6ab98c2ae9c3a4c7dd5da912)

Comment [Choose the Reference That Tests the Decision](https://hashnode.com/posts/choose-the-reference-that-tests-the-decision/6ab98c2ae9c3a4c7dd5da912)

[Mihai\_LeanZero](https://hashnode.com/@mihaileanzero)

[Sep 28](https://hashnode.com/posts/choose-the-reference-that-tests-the-decision/6ab98c2ae9c3a4c7dd5da912/comment/6aba021a81ec09d3efac9410)

The five tests hold cleanly for a static artifact like the bearing dataset, where the failure event was recorded once and does not change afterwards. For a reference used to evaluate an LLM-facing system, test five probably needs a time dimension the piece does not mention: a named, versioned, rights-clear, independently-labelled benchmark can still stop testing what it claims to test once the models under evaluation have plausibly seen it during training. A benchmark that earned ACCEPT against a 2023 model lineup can drift toward REJECT against a 2026 lineup with the dataset itself unchanged, purely because the population being evaluated moved. That drift is a property of the evaluated systems, not of the collection conditions, so folding it into test two undersells it; it reads more like its own line item, benchmark age relative to the newest model's training cutoff, worth checking even when every other test passes cleanly.