PinnedPublished inGood Enough StatisticsLosing Is The Value Of ExperimentationThe value of experimentation is in the losses. You ran the experiment because you thought it was a good idea. With no experimentation…Oct 24, 20241Oct 24, 20241
Published inGood Enough StatisticsOutliersA definition and how to think about what it means to “remove outliers”3d ago3d ago
Published inGood Enough StatisticsHigh Velocity Metrics!How to choose high-velocity/data-driven/other buzzwords metrics in a simple, automate-able way.Mar 20Mar 20
Published inGood Enough StatisticsMonotone Trends for the Difference in Difference SetupBounding Treatment Effects with a more credible, ordinal version of the classic “parallel trends” assumptionFeb 28Feb 28
Published inGood Enough StatisticsPIVOTWe’re twenty dollars in the hole. Investors are circling, trying to force a sale. We have to make a move.Feb 151Feb 151
Published inGood Enough StatisticsInstead Of Testing For Sample Ratio Mismatch (SRM), Correct For ItDon’t Test, Correct: Robust Experiment EstimationFeb 122Feb 122
Published inGood Enough StatisticsGood Enough StatisticsA New Publication on Statistics and Data ScienceFeb 10Feb 10
Published inGood Enough StatisticsUse Decision Theory to Choose Significance Levels for ExperimentsAlpha shouldn’t always be 5%. Here’s a simple method to decide what it should be.Feb 4Feb 4
Published inGood Enough StatisticsDoes It Matter That Online Experiments Interact?What interactions do, why they are just like any other change in the environment post-experiment, and some reassuranceJan 241Jan 241
Published inGood Enough StatisticsScale Experiment Decision-Making with Programmatic Decision RulesDecide what to do with experiment results in codeJan 141Jan 141