> the models that fail this one test never get published Not necessarily -- for comparison purposes one should include, and a negative result is not a bad outc

> the models that fail this one test never get published Not necessarily -- for comparison purposes one should include, and a negative result is not a bad outcome. But consider Edison's light bulb. Most of the failures don't matter, and a few might have interesting properties to reconsider or tweak down the line. But the major one folks care about is the one that worked. > data fitting Yes, models trained on data and not logic alone fit data.