[tristanm]

If you start with a weak model that doesn't contain all the knowledge you have available, your anomalies will contain many irrelevant or already known things. If you start with a strong model representing the best current understanding, then correcting the model is not so straightforward.

[Retric]

Suggesting any model that’s not 100% consistent with all known information is weak clearly misses the point. Models which can be automated in a reasonable timeframe on limited hardware beat those who can’t.

The goal is to find interesting things in the data, not simply take years of data and return “everything looks normal.”