I'm glad to hear you weren't intending to do so, but unfortunately the inference of condescension is just as important as the implication, and I'm sure not all

I'm glad to hear you weren't intending to do so, but unfortunately the inference of condescension is just as important as the implication, and I'm sure not all web developers would love the comment. Regarding correlations, I understand your logic. My point is that correlations, or generalizations about large groups of people usually do more harm than good. Forget the morality of it; In most real life situations it's simply more productive to use other metrics. For example, some companies use having a college degree as a coursely grained filter, when other approaches can be just as time efficient, and more productive because they don't incorrectly screen out the negatively correlated candidates. Of course I don't mean general indicators are inherently bad or useless, just that they are often given too much weight against people, especially when better information is available. It turns out ~99% of violent murders are committed by men. Luckily, most people don't hold this against me personally.