Where: llms.txt line 3; index.html lines 13 (og:description), 27 (twitter:description), and 2002's search-bar placeholder.
The gap: All three lines say "up to 97% bias reduction". This reflects the AI Fair Recruitment audit's pre-fix numbers (4.51% → 0.12% = 97.3% reduction). Commit 715e4f3 ("AI Fair Recruitment scripts mislabeled Other-gender applicants as Female") changed the real gap to 4.03% → 0.16%, a 96.1% reduction - and every other place in the repo was updated to match: README.md's Results-at-a-Glance table, index.html's own JSON-LD description, its roadmap card, and its project-card searchable text - which is now the highest reduction figure documented anywhere in the repo. Only these three "up to 97%" lines were missed by that fix.
As a knock-on effect, index.html's search-bar placeholder (placeholder="search experiments… e.g. race, hiring, 97%, COMPAS") now suggests a search term ("97%") that matches none of the project cards' data-project-text attributes - typing the example into the search bar now returns zero results.
Repro:
grep -n "up to 97%" llms.txt index.html
# llms.txt:3, index.html:13, index.html:27 - all still "up to 97%"
grep -n "96.1%" README.md index.html
# README.md: | 4.03% → 0.16% | **96.1%** |
# index.html: "a 96.1% reduction." / "96.1% bias reduction"
grep -o 'data-project-text="[^"]*"' index.html | grep -c '97%' # 0 - no card mentions 97%
Fix direction: Change all three "up to 97%" mentions to "up to 96%" (or "96.1%"), matching the AI Fair Recruitment audit's current number, and update index.html's search placeholder example away from "97%" (e.g. to "96.1%" or "82%").
Where:
llms.txtline 3;index.htmllines 13 (og:description), 27 (twitter:description), and 2002's search-bar placeholder.The gap: All three lines say "up to 97% bias reduction". This reflects the AI Fair Recruitment audit's pre-fix numbers (4.51% → 0.12% = 97.3% reduction). Commit
715e4f3("AI Fair Recruitment scripts mislabeled Other-gender applicants as Female") changed the real gap to 4.03% → 0.16%, a 96.1% reduction - and every other place in the repo was updated to match: README.md's Results-at-a-Glance table, index.html's own JSON-LD description, its roadmap card, and its project-card searchable text - which is now the highest reduction figure documented anywhere in the repo. Only these three "up to 97%" lines were missed by that fix.As a knock-on effect, index.html's search-bar placeholder (
placeholder="search experiments… e.g. race, hiring, 97%, COMPAS") now suggests a search term ("97%") that matches none of the project cards'data-project-textattributes - typing the example into the search bar now returns zero results.Repro:
Fix direction: Change all three "up to 97%" mentions to "up to 96%" (or "96.1%"), matching the AI Fair Recruitment audit's current number, and update index.html's search placeholder example away from "97%" (e.g. to "96.1%" or "82%").