The Wayback Machine - https://web.archive.org/web/20160617153353/https://blog.twitter.com/tags/ab-testing

Posts from all blogs: A/B testing

Power, minimal detectable effect, and bucket size estimation in A/B tests

Figuring out the minimal number of users one must expose to an experimental treatment to collect actionable data is not a trivial task. We explain how we approach this problem with Twitter’s A/B testing platform (DDG), and how we communicate issues of statistical power to experimenters.

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