There are some variables that I measured but strongly suspect are useless because (for example) almost all my data points scored the same on that (binary) variable.
It's been put to me that I may well leave them in, because in a regularized multiple regression it won't hurt to leave them in, even though it probably won't help either.
Is that true? If so/not, why?