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# Verification checks (P4)

Reproducibility: out/ deliverables deleted, analysis.py run twice from workspace root; results.json, table1.csv and stdout byte-identical (cmp) -> PASS. (Note: an early comparison using /tmp was contaminated by another process writing to /tmp; redone inside out/state/scratch.)

check outcome detail
FE recomputed independently PASS -0.188143 vs -0.188143
Q recomputed PASS 0.323686
tau2=0 since Q<df -> RE==FE PASS Q=0.3237<1
I2 rule PASS I2=0.0
SEs positive PASS 0.1063,0.1063
CIs contain estimates PASS [-0.3964,0.0201]
CI width = 21.96SE PASS
significance flag consistent PASS False
pct change PASS -17.150%
counts PASS 5,4,2
poolable implies SE non-null; not harmonisable implies null theta PASS
reason_if_not present iff not poolable PASS
S1 SE vs CI PASS 0.1378 vs 0.14
S1 p consistent with b/SE PASS 0.0865 vs 0.086
S4 approx SE reproduces p PASS
S3 printed % vs ratio of means PASS -0.2981 vs -0.2979 (rounding)
S4 printed % vs ratio of means PASS 0.1125 vs 0.111 (small discrepancy, reported)
FE within range of pooled inputs PASS -0.240..-0.118
magnitude vs baseline unweighted mean of pooled PASS -0.1881 vs -0.1788
exclusion ledger chain PASS 5->5->4->2
table1 has 5 rows and 12 cols PASS

No failed checks. Two small source-internal discrepancies (S3, S4 printed % vs ratio of printed means) are recorded as data_issues; sensitivity keys show negligible effect on FE (sensitivity_s4_ratio_of_means, sensitivity_s1_se_from_ci).

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