Earlier quoted context omitted.
How do they make a living if they aren't working at all? That seems like a shockingly high figure of people who have the means to avoid any sort of labor productivity. I can only conclude that "are not working today" is loosely defined or that these people were unfit for working at all, since someone that has the means to quit work and not have to look for other work elsewhere probably hasn't lead a very rigorous lab…
You're right the whole "sexism in tech" is probably not a problem at all. It's all totally made up. It can't possibly be that bad. /s
"I agree there is a problem, but is it ever frustrating having to tolerate completely fallacious statistics and bogus metrics. That sets the conversation back."
The statistics you cite are quite frankly bad statistics. You could have written the following and it would have been just as meaningless:
* "716 humans who left industry X" * "I have collected stories from 716 other humans who have left industry X" * "Of the 716 humans surveyed, 465 are not working today." * "Two-hundred-fifty-one are employed in non-Industry X jobs, and 45 of those are running their own companies. A whopping 625 humans say they have no plans to return to Industry X Which strongly implies "left the industry", not "moving to this job" or "that job". 2/3s of them aren't working at all, not "promoted to something else"
When you eliminate the nouns that allow our own biases to fill in the blanks and arrive at our own strong implications, it's quickly obvious that those statistics mean absolutely diddly-squat without additional related figures (like base rates) that allow us to perform an informed comparison.