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# Checks (P2/P4)

# Baseline (P2)

Naive (untransformed / linear) readings: E1 100·b = -43.1% (linear log-point approximation); E2 1.47 pp; E3 elasticity -0.388; E4 -0.354 log points; E5 -0.0962 (0-1 scale). The harmonised values replace these with the exact task conventions.

# Verification (P4)

check outcome
Clean rerun of out/analysis.py (results.json deleted then regenerated) byte-identical PASS
n_harmonised + n_not_harmonisable = 5 = n_analysed; exclusions 5 − 0 = 5 PASS
value null ⇔ harmonisable false ⇔ missing_quantity non-null PASS
E1 −35.014% rounds to printed Table 6 "% change" −35.0% (5 km) PASS
E1 exact conversion differs from naive linear −43.1% as expected (exp convexity) PASS (documented)
E2 1.96% positive, small; consistent with 1.47 pp on a 75% base PASS
E3 −1.82% consistent in magnitude with abstract "2% employment decline"; elasticity −0.388 ≈ (missing+excess)/g = (−0.03+0.012)/0.047 = −0.383 PASS (approximate internal consistency)
E5 −0.0962/0.261 = −0.36858 vs printed −0.3685 (rounding/truncation) PASS
E4: grep of extract for mean/baseline rate found no printed level of the fatal hospitalisation rate PASS → not harmonisable
Every printed input matched by a unique regex line, printed by the script PASS
No SEs/CIs produced → no CI-containment checks applicable N/A
Files · 76f9a44a3a85fb2bc2b0b370a4ae4eed9b95e579
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