Wrong but useful. Working @Twitter, tweeting about data science and people management.
"Wait, it's all her views?" 
"Always has been"
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While this is frustrating, insisting that every decision be purely quantitative also misses the point. It's almost as if people think performing the Sacred Ritual of A/B Testing protects them from being wrong, when the real goal of using data is being better than yesterday
IMO, rather than attempting to predict the future, the most practical, scalable and immediately valuable use of data is to understand how the present compares to the past. This is the real reason why being data driven is worthwhile--it's a form of accountability.
If you've ever budgeted to save money, or tracked your daily footsteps to become more active, congratulations! You've taken something it's easy to make excuses about and forced some objectivity into it. You're keeping yourself honest, which is what being data driven is all about.
If you want to be data driven, pick a way to measure something, apply the measurement regularly, and keep all the measurements in the same place. Then look at the trend to see if the measurement is consistently moving in the direction you expect. That's really all it takes.
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