1{"verdict": "accept",2 "issues": [3 {"id": "R1", "severity": "minor", "location": "out/analysis.py", "issue": "Some data_issues and feasibility_reason strings are hardcoded ('2497 changes from 2498 rows', '2010-01-04 to 2019-12-31', 'README retrieval end_date=2019-12-31'), so they would be wrong if the input changed. Also, the missing-value branch says rows are 'excluded' but the code never drops them.", "suggested_fix": "Build these strings from the computed values (n_rows, n_rows-1, sample_start/end), and either drop rows with NaN or change the handling text to match what the code does."},4 {"id": "R2", "severity": "minor", "location": "out/analysis.py", "issue": "The audit in the code does not check that post_cut only takes values in {0,1}, and does not check that it matches the stated date rule. The report says this was checked in state/data_audit.md, but analysis.py does not repeat the check.", "suggested_fix": "Add an assertion or a data_issue that post_cut is in {0,1} and equals (date >= 2020-03-04)."},5 {"id": "R3", "severity": "minor", "location": "out/report.md (Limitations, 'Not checked')", "issue": "The report lists missing business days as 'not checked', then says in the same sentence that the gaps were checked. This contradicts itself.", "suggested_fix": "Say what was checked (the gap distribution: 1–5 day gaps, consistent with weekends and holidays) and what was not (a full comparison against a holiday calendar)."}6 ],7 "summary": "I re-ran analysis.py in a scratch copy. It reproduced results.json and table1.csv exactly. My independent checks agree with the submission: 2498 rows covering 2010-01-04 to 2019-12-31, no NaNs, no duplicate dates, every post_cut value is 0, the SHA-256 matches the README, and the mean change is -0.042851 bp. Because n_treated = 0, the estimand cannot be computed. premise_invalid/infeasible with null estimates is the correct call, and no proxy or outside data was substituted. The Welch code path that would run if treated rows existed looks correct. Claims match the numbers, and limitations are stated honestly. Only minor robustness and wording issues remain."}8