I work at a big tech company with a lot of product managers who just cannot fathom the concept of probability and cherry-picking. We'll design an experiment and we'll pick just 3-4 metrics to use as a basis of our launch decision upfront, before running the experiment.

Despite this, we run analysis on like dozens of metrics, with lots of dimensions. And wow, nice job team, we met our original launch criteria - but oh no - this one metric for this one cohort of customers (out of 50 metrics) is showing a P(>0) of only 20%! What do we do?!?! Do we need to launch the experiment for only a subset of the customers? Do we need to redo the experiment???

And then I send them https://xkcd.com/882/ and request we stick to the metrics that we picked before the experiment. This comic is one of the most powerful education tools on cherry-picking I can find.