book-of-models
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Where can we best advise on things not to do?
It would be useful in particular chapters or as part of the 'misc/more models chapter' to have some kindly worded "don't do this" or or otherwise problematic stuff. For example, stepwise regression, just going with p-value result/ignoring prediction, mean imputation, ignoring uncertainty, attributing causal effects where not warranted, ignoring baselines, using old models that are no longer necessary, etc.