I've preferred logistic regressions ever since I learned that maximum size of marginal effects in a logistic regression is beta/4, so it is easy to know if the marginal effects could have real world significance without a calculator. You can do the same thing with a probit but the maximum effect is beta/(1.7 * 4), which I can't do nearly as easily.
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