You seem to be ignorant yourself of the hiring target numbers. Did you not question why those targets go up and down? It's because different numbers of people retire in different years. Hiring twice as many people year-over-year does not constitute a meaningful rise if the number of retirees is also double. 90% of the target is 90% of the target. No matter how high or low that number is, less than 100% is predicted to decrease staffing, more than 100% is expected to increase staffing. The year over year comparison of absolute number of hires is meaningless.
Both of us are looking at statistical arguments that do not necessarily tell a whole story, but you are trying to rationalize backwards from the numbers, where I'm looking at the timescale of an obviously stupid policy and trying to identify the effects. Go take the test.
And you clearly aren't looking for the "why". You're just assuming it outright. You know the actual reason for the gap? Largely applicant error.
To quote (pg 8):
Many applicants did not promptly complete their medical or security screenings, delaying FAA’s ability to bring them onboard. As a result of the delay in processing candidates under the new hiring process, the Academy had to cancel 34 air traffic basic classes, and 614 seats were left unfilled in 2015. This caused a ripple effect because the air traffic basics class is a prerequisite for follow-on controller training courses as well. By October 2015, the situation improved, as 741, or roughly half, of the applicants progressed to the Academy or were placed at a facility
And that's a recognized issue with implementation. They did not have a good tracking system to monitor candidates, nor resolution system for that, and it cost them (so to speak).
So here again, not the smoking gun you were treating it as. Hell, the recommendations on how to fix the issue were technical and procedural, saying that the new system needed to Implement a single system that individually tracks applicants through the entire hiring process, and establish a process to address applicants who receive a tentative offer letter but fail to initiate the medical and/or security clearance processes.
Both of us are looking at statistical arguments that do not necessarily tell a whole story, but you are trying to rationalize backwards from the numbers, where I'm looking at the timescale of an obviously stupid policy and trying to identify the effects. Go take the test.
That is
rich coming from you, as "rationalizing backwards" is literally the sum total of your own position, considering that you quite clearly made no real effort to actually look into the data and identify actual causative factors. You just took your desired conclusion that "the pursuance of diversity lead to, or at least meaningfully exacerbated under-hiring" and rationalized to yourself that the drop in numbers must validate that conclusion.
As an analogy, let's say that you just launched an online campaign at the start of the month, and at the end of the month, you see that traffic to your site increased by 40%. Those are very encouraging numbers, so you conclude there and then that the campaign must have been a great success. Only, when you actually look at the timeline, you see that there's a
massive three day spike in the middle of the month, all attributable to an unfamiliar site, averaging about 1 second on the site, and accounts for 90% of the change in volume. Which is to say, the change in traffic is actually attributable to a spike in bot traffic. You're doing the functional equivalent of brushing off the explanation of the traffic spike, and saying that you're looking at the timescale of an "obviously successful" campaign and trying to identify the effects. That is brazenly working backwards from your conclusion ("the campaign was successful"), invoking the data under the presumption that it supported it ("the increase in traffic shows the impact of the campaign") and not really caring enough to check your presumption after it's explained to you that the data you highlighted is explained by other factors.
I don't expect a given person to have performed a full PEST analysis, but I do at least expect that - if someone is determined to make declarations about what data shows - they at least take a moment to actually take a hard look at the data and reports to make sure that their claims about them have a good foundation.