1# Verification checks (P4)2| check | outcome |3|---|---|4| Clean re-run (deleted results.json & exclusions.csv) reproduces byte-identical results.json | PASS |5| CI [tau_ci_low, tau_ci_high] contains tau_hat | PASS |6| se_iid > 0, se_cluster > 0 | PASS |7| n_input_rows − Σ n_removed (exclusions.csv) = n_analysed (1000−0=1000) | PASS |8| tau_hat = mean_treated − mean_control | PASS |9| effect_significant_5pct consistent with p_value<0.05 and CI excluding 0 | PASS |10| Magnitude: se_cluster/se_iid = 2.58 ≈ sqrt(design effect 1+(m−1)ICC)=2.60 | PASS |11| icc_hat in [0,1] | PASS |12| Sensitivity: school-means t-test (df 38) gives SE 0.738, p 0.201 — same decision | PASS |13