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If you're too lazy to click 1 Appropriately consider generalizability & control, across the lab & the field 2 Do More Field Experiments, Especially Natural Field Experiments 3 Use lab & field experiments as complementary approaches 4 For proper inference, go beyond p-values ...https://twitter.com/DurRobert/status/1084057737598828546 …
... 5 Replicate early and often 6 Consider statistical power in the design phase 7 Adjust for multiple hypothesis testing, in power tests and in data analysis 8 Use blocked randomization to increase power and credibility 9 Use within-subject designs when appropriate ...
... 10 Go beyond A/B testing by using theoretically-guided designs 11 Focus on the long run, not just on the short run 12 Understand the science of scaling ex-ante and ex-post Fin.
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