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What Does This Mean for Experiments?
In the age of experiments, that's actually more true than ever. It's not enough to just kind of measure the easiest to measure stuff. So maybe a change might be good for short run profitability or convergence. But if it's actually bad for discrimination, then you should really be asking yourself as a leader, is this a change I want to be making even if it looks okay on other metrics?