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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"Correlation doesn't imply causation" is possibly the biggest meme of statistical practice, so it's crazy to think that there was a point where someone had the realization that there was a difference between doing descriptive inference and causal inference.
Same with exploratory data analysis. It seems so natural, like people must have been doing it for as long as they've been analyzing data. Turns out the idea of it was more or less conceived in 1962.
I'm generally pretty pragmatic when picking techniques to solve a problem, so it's cool to be reminded that even techniques that super seem basic were once innovations.
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