In practice, almost all data used as an input to "follow the data" is bad data by this definition.
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The data cannot fail you. Only you fail the data.
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Honestly, I've seen more mistakes from people following the data than people who interview bunches of users and go by intuition.
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Replying to @chriseppstein @littlecalculist
But not measured. At this point you're just defining "data" broadly enough so that our agreement is tautological.
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Replying to @wycats @littlecalculist
I mean, I'd usually follow qualitative data up with quantitative data.
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Replying to @chriseppstein @littlecalculist
You're just not really engaging with my point that people focused on data have persistent blindspots in what they measure.
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"they're doing it wrong" is fine, but it's pervasive and far worse among the data religious.
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Replying to @wycats @littlecalculist
I heard you say that you should measure things that give you easy wins. I don't think you believe that.
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Replying to @chriseppstein @littlecalculist
I think that a lot of easy wins live in unmeasured areas. And you should actually do the things that get you wins cheaply.
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Data religion causes people to boil the ocean rather than get easy high value wins in my experience
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at least it isn't an arbitrarily weighted set of microbenchmarks but I'm concerned only framework varies, not the of app.
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Replying to @krisselden @wycats and
and I should proofread my tweets, I was editing that thought in my head as I was writing it down
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End of conversation
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