trustworthy-experiment-insights

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SKILL.md

Trustworthy Experiment Insights

Use this skill to decide whether an experiment result is believable enough to shape a product or engineering decision. It focuses on false positives, false negatives, power, replication, meta-analysis, stratified sampling, covariate adjustment, and suspicious result review.

Source Traceability

Primary source: Next-Level A/B Testing by Leemay Nassery. Guidance is transformed and paraphrased from Chapter 6 on false positives and negatives, meta-analysis, metric sensitivity, stratified random sampling, covariate adjustments, replication, longer runs, and statistical power.

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lvtd-llc/skills
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Jul 12, 2026
trustworthy-experiment-insights — lvtd-llc/skills