✍️ New Blog Post Published!
Experimentation terms 101: Health checks that make your A/B test results trustworthy
Before trusting what an A/B test reveals, it’s crucial to make sure the
experiment itself is set up correctly. A result may look statistically
significant while bias, noise, and tracking bugs actually drive it. In
reviewing experiments run in Mixpanel over the past year, we noticed that
health checks frequently surfaced problems with setup (like …
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