Of 323,092 new jobs added in 2021 by S&P 100 companies, 302,570 (94%) went to people of color
This data came from workforce demographic reports submitted to the U.S. Equal Employment Opportunity Commission by 88 S&P 100 companies
Hispanic individuals accounted for 40% of new hires, followed by Black (23%) and Asian (22%) workers
https://www.bloomberg.com/graphics/2023-black-lives-matter-e...
Given this July 2024 population estimate by race from census.gov[1], leaving only 6% of new jobs to the majority seems tailor-made to trigger a large-scale backlash:
75.3% White alone
13.7% Black alone
1.3% American Indian and Alaska Native alone
6.4% Asian alone
0.3% Native Hawaiian and Other Pacific Islander alone
3.1% Two or More Races
19.5% Hispanic or Latino
58.4% White alone, not Hispanic or Latino
I don't think that's an entirely accurate narrative, but I do think it's probably at least part of this (e.g., that all of the best white people were already hired, while many POC people of equal caliber were not or not making as much). The job market was soaring in 2021 and looking for ways to hire new people without having to pay them more would likely be highly attractive. Now that the job market is not so competitive, there's not as much need to do so if you're just trying to find workers.
In my experience, DEI programs do the opposite. I've seen manager leave headcount unfulfilled because the qualified candidates they found were non diverse and hiring them would put them below their diversity target. If 20% of the workforce is women and your bonus is contingent on reaching 30%, you could recruit at Grace Hopper and try to hire more women. But if that doesn't get you to your quota, you need to hire fewer men to push up the proportion of women.
The incredulousness is valid, but the way you’ve posed this question is so inherently biased it reads as tone deaf, as if the parent couldn’t possibly have witnessed this.
Reality is a lot stranger than you might expect, if you can believe people can hold out for a junior engineer with 5+ years experience and a $50k salary: you can believe this.
Edit: another comment on hn says that Bloomberg's methodology was flawed, which seems more plausible to me.
Why is that? Virtue signaling? Discrimination on males?
Think about it like this, if you'd use the same argument you gave me if the roles were reversed with men being 3-4x overrepresented in a well paying white collar career, everyone would cry sexism and discrimination and action being taken to "fix" that. So why isn't it when the genders are reversed?
If there wasn't a demand for specifically female engineers they would cost the same as male engineers regardless of the supply because an engineer should be fungible with gender. Unless you think that women have some innate characteristic that makes them better than men?
To fix this sort of problem a wholistic approach is required. Whatever the approach it should apply to all equally so that the market is fair. Offhand, my historic recollection is that STEM generally is traditionally less appealing to those of the female sex (by Science/Biology definition of the phrase), and that there might (rightly?) be a perception of poor work / life balance and career tracks that don't pair well with fulfilling time limited biological imperatives. My personal opinion is that enforced labor regulation that provides sufficient parental leave, work / life balance generally, and generally promotes healthier recognition of employees as humans would be better for society overall.
I also recognize that we're probably not going to get that until the US gets rid of the 'first past the post' madness and adopts a voting system with literally _any_ form of IRV. There just won't be bandwidth for such an issue otherwise. Of said systems, https://en.wikipedia.org/wiki/Schulze_method is my favorite, but I'd start with ANY IRV, they're (offhand) all less flawed than what we've got.
I’m so old fashioned thinking your immutable characteristics shouldn’t be considered for employment.
One thing that's common is for people to recommend their friends for jobs. Most of the time, their friends look just like them, because that's the kind of friends that people make. If you base your hiring process around this easy source of candidates, you end up not talking to a lot of people that would be qualified for the position. "DEI" can be as simple as "in addition to employee referrals, we're going to hand out brochures at a career fair".
https://journalistsresource.org/education/race-neutral-alter...
Given that many DEI programs specifically focus on "high skill" roles (like software engineers), it's unlikely that DEI accounted for this disparity while massive numbers of black and hispanic people being hired for low-skilled jobs had a larger impact.
Bloomberg's choosing to misrepresent the data here - this is not about jobs added, it's about changes in the employment composition.
Simple example: Company X has 950 white and 50 POC employes. 10% leave over the year (95 white, 5 POC). They hire 200 more at an even split (50% white, 50% POC). They now have 1100 people, 955 white, 145 POC. So they've gained net 100 folks - and the net change is +5 white, +95 POC. Voila, 95% people of color hired.
It's still a pretty stunning change with a large ramp up in hiring of POC, but it's much less an indicator of preferential hiring than the Bloomberg framing makes it sound.
> But it’s not possible from the data to say that those additional “people of color” took the 320,000 newly created positions. Most of them were almost certainly hired as part of a much larger group: replacements for existing jobs that were vacated by retirees or people changing jobs.
> A telltale sign that Bloomberg’s “percentage of the net increase” methodology is flawed, VerBruggen explained, is that, if the departures of whites had been just a little higher, the net change in whites would have been negative instead of the actual small growth of 20,000. Bloomberg’s methodology would then assert that whites took a negative percentage of the new 320,000 jobs, a mathematic impossibility.
> The percentage of new jobs that went to whites was likely about 46%, eight points below the 54% white makeup of companies’ existing workforces. That’s to be expected given demographic changes in the United States since the time that the currently-retiring baby boomer generation first entered the workforce.
https://www.dailywire.com/news/bloomberg-flubs-data-for-bomb...
There was one notable exception: an org based in Virginia with something like 10% or 15%. I figured it was due to black former military and defense workers who had to be on-site in Virginia to work on a specific GovCloud project, part of the JEDI contract effort. I knew of one black engineer who worked on that compared to about ~5 others I knew who worked on that.
Perhaps the US system of racism is less effective against people who had first-class opportunities at education and mentorship before entering the work force? It's still pretty effective — there were lots of times I had Indian and Chinese coworkers and a white boss.
In the US, inferiority of blackness is so deeply ingrained and entrenched. it's like air, we (blacks, white and everything in between) have all breathed in and fully internalized that we don't even realize its there.
Reading things like The Color Purple, Black Like Me, and The Autobiography of Malcolm X in my childhood didn't remove that blind spot; if anything, the contrast tempted me to think that racism was pretty much a solved problem in the US, except for a few reactionaries. It wasn't until years of living something fundamentally different that I could start to notice how absurd and pervasive it was.
I wonder why US is not racist against Indians and Chinese.
> Perhaps the US system of racism is less effective against people who had first-class opportunities at education and mentorship
Are we supposed to believe that only certain societies (like India and China) have these kind of opportunities? Why doesn't Latin America, with 600-700M population, have this kind of opportunity then?
> lots of times I had Indian and Chinese coworkers and a white boss.
Anecdote - at the last FAANG I worked at, 6 out of 7 people in my management chain were Indian dudes, including the CEO. Also as a matter of statistics, Asians are over-represented in S&P500 leadership positions compared to their share of the US population.
I live in Latin America now, and the universities almost all suck. Latin America culturally has the idea that universities are for job training and are basically all equivalent. China and, generally speaking, India instead place very high value on education and on good universities, and China also has a massive research budget. Latin America, broadly speaking, has zilch. The result is that in lists like https://www.timeshighereducation.com/world-university-rankin... the top 100 universities include 11 in China, 4 in Singapore (which is largely Chinese), and 0 in Latin America. Most of India's IITs don't appear on that list for some reason, but they should — and the ones that do appear are the wrong ones.
Here in Buenos Aires, the University of Buenos Aires was badly damaged by Perón demanding loyalty oaths from the professors, driving those who valued their intellectual freedom out of the university and often out of Argentina entirely. A few years later, it was damaged further by an anti-Peronist military dictatorship attempting to purge it of Peronists https://es.wikipedia.org/wiki/Noche_de_los_Bastones_Largos. The first computer in Latin America was lost in the shuffle. Decades of such intermittent political violence disproportionately affected the intellectual classes; the last dictatorship, backed by the US in its secret mass murders of political dissidents, notoriously blamed society's drug problems on "an excess of thinking" among students: https://es.wikipedia.org/wiki/Julio_Bardi#Ministro Those intellectuals who could move abroad often did so, including Favaloro, who invented heart bypass surgery after refusing to swear loyalty to Perón, and Chaitin, the discoverer of the random number omega at the heart of computability and the graph-coloring formulation of the compiler register allocation problem.
Despite all that, the University of Buenos Aires is still one of the best five or so universities in Latin America. That may give you a clue as to how bad the situation is in places like Ecuador, Venezuela, and Honduras, or even the poorer provinces of Argentina.
You really can't imagine why American culture treats blacks differently from how it does Indians and Chinese? That says more about your imagination than it does America.
I don't know why you infer that from my comment. I am merely responding to the GP's post which I disagree with. I believe US, or at least Silicon Valley which I am very familiar with, is one of the least racist place. At the same time, it is also highly classist.
Unfortunately, race and class correlate for American blacks. Not so for, say, Nigerian blacks because the ones able to migrate from Nigeria to the US are already the privileged ones in their society. Same goes for immigrants from India, China, Philippines or Egypt.
Look at class, not race, if you really want to understand the SV demographics.
There was not a single black student in my graduating class of Software Engineering from college.
So is the problem truly with hiring, or is it earlier on. It could also be both. But if none are graduating with a SE degree...
My company historically has had leveling issues and, sadly, they were definitely not meeting expectations for their level, or maybe even for the one below their level.
One was nudged out to another team. One currently on my direct team is being nudged out. One or two people want him to be fired (very curmudgeonly engineers who had worked with him), but me and the manager would rather find him new work within the company suited to his background in data science rather than software engineering. He's been dragging his feet; it's getting more and more difficult.
The company has a strong and vocal DEIB/social justice culture within certain parts of the company (though I suspect much less so among executives). It sometimes comes into play pretty directly in hiring. I've been in panels where someone calls out that the candidate is part of a disadvantaged population who've historically been under-leveled, though I haven't been in a panel where that made a difference in hiring or leveling.
The standard line is that the company doesn't compromise its hiring standards for diversity. I clearly have my doubts about whether that ends up happening in practice.
On the other hand, I've seen exactly 1 guy at the FANG I work at. What's the difference? I think it's companies like Northrop realizing that folks from under-represented communities have great value and prioritize that instead of whatever the current HackerRank-based interview process selects for
Where I've been, trying to get some DEI policy to influence who's hired would be impossible, since the panel has to agree, and there's no way they would agree to someone not qualified. Even with pressure like "we really need to hire someone before end of month or we'll lose the req", the response has always been "find better people then".
Also, in the US Asians, overall, are not economically disadvantaged like most Blacks and Latinos. So I don't think you can really put them together in this particular context. Notice that the largest group of Professionals were Asian (lots of engineers/programmers from India/China as usual).
(Also at the Executive job level, Whites still very on top.)
1. Violate the law more blatantly than anyone else. 94% of new jobs went to POC? So what, 50% of the population shared 6% of the jobs? This sounds like apartheid era South Africa.
2. Create a backlash where the largest population and richest segment is so angry, it uses all its resources to absolutely destroy this.
Nice going.