I've seen it happen even when source is available. I've also seen a lot of really terrible math mistakes in ML because people don't understand the underlying assumptions of the metrics they use.

The rot is everywhere because people forgot the goal. We all get caught up in the metrics that are used to judge us that we forgot what we were proxying in the first place.