Do they usually use average instead of median? That terribly skews the numbers with the top 0.2% being weighted much more highly than the bottom 99.8%.
The gender distribution for the top 0.2% doesn't matter since most men and women will never reach that income.
Driving follows physics mechanics, is a skill and is much more involved than search. Search is designed to be a black box for most people.
But ignoring that, no, I still would not like to see people professionally criticizing processes and products that they do not understand. Some technical knowledge is a must for people who do professional talks or presentations, write books and research papers and teach on the topic.
For algorithms and ML, I would expect at the very least a bachelors in math/CS or the equivalent in work/personal project experience.
I'd argue that most of the 'algorithms are evil' crowd don't even understand the problem to begin with since many of them do not come from a technical background.
The gender distribution for the top 0.2% doesn't matter since most men and women will never reach that income.