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A/B testing and growth analytics at Airbnb, building data science tools and metrics store with Nick Handel, the data scientist show#037
The Data Scientist Show
Yen, You Don't Read It All.
I think early on we wanted like, one or two. rm, and they kind of just expanded. And so that was really useful, cause that allowed us to say, it allowed us to tell the rest the organization, this was what we were trying to move,. which is part of the scientific method rimended. But with that came people misinterpreting all kinds of things and seeing sommetric that was, you know, up by seven %, but it wasn't even remotely statistically significant. I believe that you should look at as much data as you can possibly look at.
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