I had a bit of a breakthrough in terms of my thinking of data science thanks to all the interesting discussions at #rstudioconf2020 --
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Oh for sure, no doubt about that. But for many tech applications specifically, the juice is not worth the squeeze
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Totally. An ounce of sampling design is worth a pound of post-hoc inverse weighting. There's a similar trade-off here to the one discussed in NSSD around "do I pay the upfront cost of writing a for-loop or just copy/paste X times and manually edit"
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