Benefits Denial/unfair.py's occupation-proxy comment misstates Native applicants' high-skill-role rate as "half" White's (actual: 77%)
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The issue is in the file Benefits Denial/unfair.py. Look at the top docstring-style comment and the script's printed 'WHAT'S WRONG' text. Compare the comment's claim about Native applicants' high-skill-role rate with the actual printed breakdown from lines 25-31 of the script's output. Update the comment to accurately reflect the 77% rate for Native applicants versus White's 26.2%, separating it from the Black rate. Run the script to verify the corrected output matches the new comment.
Written by the indexing model from the issue text.
Description
Where: Benefits Denial/unfair.py, the top docstring-style comment and the script's own printed "WHAT'S WRONG" text.
The gap: The comment claims:
"Racial occupational segregation means Black and Native applicants appear in high-skill roles at half the rate of White applicants."
But the script's own proxy-variable analysis (printed by the same run) shows the real per-race breakdown, and "Native" (Amer-Indian-Eskimo) is nowhere near half of White's rate:
Repro:
$ python3 "Benefits Denial/unfair.py" 2>&1 | sed -n '25,31p'
Pct in high-skill occupations by race:
Amer-Indian-Eskimo 20.3%
Asian-Pac-Islander 30.9%
Black 15.5%
Other 15.5%
White 26.2%
Black/White = 15.5/26.2 = 59% (roughly "half", as claimed). But Amer-Indian-Eskimo/White = 20.3/26.2 = 77% - not half. Lumping "Black and Native" together under one "~15%/half the rate" figure misrepresents the Native subgroup's actual, higher rate by a wide margin (20.3% vs the implied ~13%).
Fix direction: Either drop "Native" from the "half the rate" claim and report Black and Native separately with their real figures (59% and 77% of White's rate respectively), or rephrase without a shared percentage that doesn't hold for both groups.
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