Comment by nerdponx

The irony is that there are techniques for dealing with noisy/mislabeled/bad data (e.g. gold loss correction [0], errors-in-variables models [1]), but that stuff isn't "sexy" and not enough practitioners know about it.

0: https://arxiv.org/abs/1802.05300

1: https://en.m.wikipedia.org/wiki/Errors-in-variables_models