Interesting point. The boolean example is the sharpest part of this, because a type check will always pass while three definitions sit inside the same column. Nobody flags "active customer" as a data quality issue since the field is technically valid, so the drift hides behind a green dashboard until someone compares outputs across teams. Have you run into a case where a metric looked stable for months simply because nobody diffed the definition behind it?