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LiftGate: significance and sample size without a spreadsheet

Two-proportion z-test (pooled variance for the statistic, unpooled for the 95% interval) with a ship / keep / inconclusive call, plus the standard per-group sample size. Example: 10% → 12% at α 0.05 and power 0.8 needs 3,839 users per group, matching the closed form recomputed independently in today's test.

Today's change

A significance level of 5 made every result "significant", and identical rates came back keep_control. An alpha outside (0, 0.5] is now refused (refused_invalid_alpha), never interpreted.

GroupCaseWantRun 1After
LiftGateexperiments route reachable200failedneeds a paid key through the proxy: not measurable live, measured on the engine
LiftGatealpha = 5 with identical ratesrefused, never shipheldlive reply was 401 (not a real hold); engine gave keep_control + significant; now refused_invalid_alpha
LiftGatealpha 0, -0.5, 1.0, 1.5refusedfailedengine interpreted them; now refused_invalid_alpha
LiftGateconversions above totalrefusedfailedengine already refuses (400); live route needs a key
LiftGatep-value vs independent reference (8 random)|diff| < 1e-5failednot measurable live (key); engine formula matches the closed form used here
LiftGatesample size vs independent reference (4)exactheldheld
LiftGatealpha 0.10 / power 0.95clear answer or clear refusal, no 500heldheld (clear refusal)

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