we’ve conflated data with truth. And this has dangerous implications for our ability to understand, explain, and improve the things we care about... data is not a perfect representation of reality: It’s a fundamentally human construct... subject to biases, limitations, and other imperfections... Data doesn’t say anything. Humans say things.... Data is a necessary ingredient in discovery, but you need a human to select it, shape it, and then turn it into an insight...
Here are four big ways that we can introduce imperfections into data...We should not just ask “what does it say?” but ask, “who collected it, how did they do it, and how did those decisions affect the results?”
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