In experimentation, we can run tests that check for underlying issues, similar to asserts: if every user should see either Control or Treatment from a certain time, then having many users in both variants is a red flag; if the experiment design calls for equal percentages in the two variants, then large deviations that are probabilistically unlikely should likewise raise questions.
