I like to think of nuances as nuisances. Sometimes I wonder if we can just merge these two words because they're pretty much the same thing most of the time.
I don't know much about sociology, so I found it interesting to read a sociologist critique his own field. This part stood out to me:
> To make a loose statistical analogy, it is a little like continuing to add
variables to a regression on the grounds that the explained variance keeps increasing.
Like a statistical model having parameters, a theory should have some nuance, but too much nuance is analogous to overfitting. It reminds me of the maxim that a theory should be as simple as possible but no simpler
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[ 2.8 ms ] story [ 17.5 ms ] thread- Seriously, fuck it.
https://genius.com/Ben-folds-rockin-the-suburbs-lyrics
> To make a loose statistical analogy, it is a little like continuing to add variables to a regression on the grounds that the explained variance keeps increasing.
Like a statistical model having parameters, a theory should have some nuance, but too much nuance is analogous to overfitting. It reminds me of the maxim that a theory should be as simple as possible but no simpler