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The FAA’s Hiring Scandal

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739 points firebaze | 6 comments | | HN request time: 0s | source | bottom
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legitster ◴[] No.42949439[source]
This is a fascinating read, but the thing that bugs me about this whole affair is that when this came to light many years ago it was treated as a cheating and recruitment scandal. But only recently has it been reframed as a DEI issue.

Taking old, resolved scandals - slapping a coat of culture war paint on it - and then selling it as a new scandal is already a popular MO for state-sponsored propoganda, so we should be extra wary of stories like this being massaged.

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Jimmc414 ◴[] No.42950743[source]
> when this came to light many years ago it was treated as a cheating and recruitment scandal. But only recently has it been reframed as a DEI issue.

Respectfully, thats not accurate.

The article actually shows that dei considerations were central to the original changes, not just recent framing. The FOIA requests show explicit discussions about "diversity vs performance tradeoffs" from the beginning. The NBCFAE role and the "barrier analysis" were both explicitly focused on diversity outcomes in 2013.

The article provides primary sources (internal FAA documents, recorded messages, investigation reports) showing that racial considerations were explicitly part of the decision making process from the start. This is documented in realtime communications.

The scandal involved both improper hiring practices (cheating) AND questionable DEI implementation. These aren't mutually exclusive; they're interrelated aspects of the same event.

> Taking old, resolved scandals

In what way do you consider this resolved?

The class action lawsuit hasn't even gone to trial yet (2026).

The FAA is still dealing with controller shortages. (facilities are operating understaffed,controllers are working 6-day weeks due to staffing shortages, training pipelines remain backed up)

The relationship between the FAA and CTI schools remains damaged, applicant numbers have declined significantly since 2014.

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alcima ◴[] No.42952992[source]
Was deeply aware of it at the time - was not really a DEI issue even then - it was pure cronyism.
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aesh2Xa1 ◴[] No.42953478[source]
The source article includes primary material that strongly contradicts your anecdote. The policy change arrived in 2013, and there are materials from that same year indicating DEI.

For example, here's an FAA slide from 2013 which explicitly publishes the ambition to place DEI as the core issue ("- How much of a change in jo performance is acceptable to achieve what diversity goals?"):

https://archive.ph/Qgjy5

The evidence in this source does not discuss cronyism, although I believe you that it could have been relevant to your personal experience; it's just false to claim the issue as a whole was unrelated to DEI.

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intended ◴[] No.42955145[source]
I found one thing odd, which was outside of the scope over the zero sum game being fought here.

If you are understaffed, AND you are hiring traditionally, it would make sense that recruiting people would go up. That would mean diverse hires anyway - based on the article, it seems that even increasing diversity was not between undeserving candidates and ideal candidates (the second band section of the article)

Is the third variable at play here a lack of funding from congress for recruitment?

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skellington ◴[] No.42956214[source]
If you are trying to reach race/gender based quotas, you simply cannot hire white men anymore when they are 90% of the applicants. Or at least, you must attempt to minimize it as much as possible. Math.
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intended ◴[] No.42956420[source]
Yeah but thats not how any quota based system works. Thats the strawman of quota systems. The article itself showed that the quota is some fraction of total applicants that results in minimal impact to performance.

Also I heard "math" with a youtube overlay.

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AnthonyMouse ◴[] No.42956899[source]
The quota issue isn't that you have an explicit hiring quota for each race -- which might even be illegal. It's that if, at the end of the year, the number of people you hired had a large racial disparity, that's bad optics and you'll get in trouble, which you know so you fudge things to change it however you can.

So you start with 500 slots to fill, 1000 qualified white applicants and 10 qualified black applicants. Worse, if you hire based on highest test scores you'd only hire 2 of the black applicants and end up with 99.6% white hires. The obvious thing to do to improve the optics is to figure out how to hire all 10 of the qualified black applicants, which is the thing that would have "minimal impact to performance", but you have two problems. First, picking them explicitly because of their race is illegal, so you have to manufacture some convoluted system to do it in a roundabout way. Second, even if you do that you're still screwed, because even hiring all 10 of them leaves you with 98% white hires and that's still bad optics.

Their workaround was to use a BS biographical test to exclude most of the white applicants while giving the black applicants the answers. If you do that you can get 90 qualified white applicants and 10 qualified black applicants. That'll certainly improve the optics, but then you have 400 unfilled slots.

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PaulDavisThe1st ◴[] No.42957203[source]
There seems to be implication of confusion of what a qualified applicant means in your example above.

If there's a test used as the basis of consideration, and some process has decided that any score over X makes the candidate qualified, but then you are later going to claim that actually, given that there were candidates with a score of X+Y, a score of just X does not really constitute "qualified" and the higher scoring candidates should have been chosen, then the whole nature of the test and the ranking becomes rather suspect.

So either everyone who is judged to be qualified really is qualified, and it makes no difference that they were not necessarily the highest scoring candidates ... or ... the test for "qualified" is not suitable for purpose.

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1. AnthonyMouse ◴[] No.42957405[source]
Suppose you have a test which is a decent proxy for how well someone will do a job. The median person currently doing the job scored 85 and their range is 70-99. If you put someone who scored a 4 in the job, people will die almost immediately. If you put someone who scored a 50 there, people will be at a higher risk of death and you'd be better off passing on that candidate and waiting for a better one. From this we might come up with a threshold of 70 for the minimum score and call this "qualified". Then if you have to fill 5 slots and you got candidates scoring 50, 75 and 95, you should hire the latter two and keep the other slots unfilled until you get better candidates.

But if you have to fill 5 slots and you have 10 candidates who all scored above 70, you now have to choose between them somehow. And the candidates who scored 95 are legitimately expected to perform the job better than the ones who scored 75, even though the ones who scored 75 would have been better than an unfilled position.

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2. PaulDavisThe1st ◴[] No.42957647[source]
Assumptions:

1. there is a test that is a decent proxy for job performance

2. the relationship between job performance and test score above some passing score is linear

These both sound "common sense", but I suspect fail for a huge number of real world scenarios.

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3. AnthonyMouse ◴[] No.42957667[source]
According to the article they actually tested the first assumption and it was true.

The second assumption is not required. If people who score a 95 are only 5% better at the job than people who score a 70, all else equal you'd still pick the person who scored a 95 given the choice.

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4. PaulDavisThe1st ◴[] No.42957928{3}[source]
Non-linear doesn't mean "still monotonic". My experience has been that beyond a certain threshold on a given test, job performance is essentially uncorrelated with test performance.

As for the article, it's not given me particular solid vibes, a feeling not helped by some of the comments here (both pro and con).

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5. AnthonyMouse ◴[] No.42957952{4}[source]
> Non-linear doesn't mean "still monotonic".

Satisfying the first assumption means "still monotonic".

Also, if you had a better test then you'd use it, but at some point you have 10 candidates and 5 slots and have to use something to choose, so you use the closest approximation available until you can come up with a better one.

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6. PaulDavisThe1st ◴[] No.42958425{5}[source]
> Satisfying the first assumption means "still monotonic".

Sorry, but I just don't agree. There are "qualifying tests" for jobs that I've done that just do not have any sort of monotonic relationship with job performance. I'm a firefighter (volunteer) - to become operational you need to be certified as either FF I or FF II, but neither of those provide anything more than a "yes, this person can learn the basic stuff required to do this". The question of how good a firefighter someone will be is almost orthogonal to their performance on the certification exams. Someone who gets 95% on their IFSAC FF II exam is in no way predicted to be a better firefighter than someone who got 78%.