accessibility improvement

Benefits Denial/unfair.py

@@ -27,9 +27,10 @@
 #   hours.per.week → Women average 36.4 hrs/wk vs 42.4 for men
 #                   due to caregiving burdens, not productivity.
 #                   penalizing low hours penalises gender roles.
-#   occupation    → Racial occupational segregation: Black and
-#                   Native applicants are in high-skill roles
-#                   at ~15% vs 26% for White applicants.
+#   occupation    → Racial occupational segregation: Black applicants
+#                   are in high-skill roles at ~15.5% (about half of
+#                   White's 26.2%), while Native applicants are at
+#                   20.3% (~77% of White's rate).
 #                   Occupation encodes race via labour market bias.
 # ============================================================
 

tests/test_proxy.py

@@ -3,6 +3,8 @@
 Run from the repo root:  pytest tests/ -q
 """
 
+from pathlib import Path
+
 import pandas as pd
 import pytest
 
@@ -12,6 +14,15 @@
 pytest.importorskip("scipy", reason="proxy hints need the optional scipy extra")
 
 
+def test_benefits_denial_native_proxy_summary_is_not_stale():
+    # Regression test for #733: the top-of-file proxy summary must keep
+    # Native applicants separate from Black applicants, with Native's 20.3%
+    # rate preserved instead of the stale ~15% lumping that appears elsewhere.
+    source = (Path(__file__).resolve().parents[1] / "Benefits Denial" / "unfair.py").read_text(encoding="utf-8")
+    assert "Native applicants are at\n#                   20.3% (~77% of White's rate)." in source
+    assert "Native applicants are at\n#                   ~15.5%" not in source
+
+
 def test_perfect_proxy_is_flagged():
     # occupation is a perfect function of sex -> maximal association.
     df = pd.DataFrame({