Why Do So Many Practicing Data Scientists Not Understand Logistic Regression?

The U.S. Weather Service has always phrased rain forecasts as probabilities. I do not want a classification of "it will rain today." There is a slight loss/disutility of carrying an umbrella, and I want to be the one to make the tradeoff. This is coming from personal experience and from multiple contexts, but it seems that many data scientists simply do not understand logistic regression, or binomials and multinomials in general. The problem arises from logistic regression often being taught as a "classification" algorithm in the machine learning world.