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YouTube Hiring for Some Positions Excluded White and Asian Males, Lawsuit Says
251–260 of 358 posts
Re: YouTube Hiring for Some Positions Excluded White and Asian Males, Lawsuit Says
#252Earlier quoted context omitted.
Tell that to the white and asian males who get rejected on the basis of their race and gender despite having worked their entire lives to be the most qualified and technically adept candidate. I'm pretty sure impostor syndrome is a problem they would love to have. Instead they got the entire course of their careers (and lives) stepped on by bigoted racists and sexists. I know your comment has to be the top one becaus…
The GP was arguing a point that is agreed-upon by many who argue against affirmative action — that the minorities ostensibly helped are harmed in the bigger picture. Yet you rip on the GP for not thinking enough about the whites and Asians who are also the victims of affirmative action? You could be a bit reflexively polarized about this issue.
Perhaps he's against discrimination, and that then automatically leads to the "reflexively polarized" opinion.
How about we judge people on their merits ?
Re: YouTube Hiring for Some Positions Excluded White and Asian Males, Lawsuit Says
#253Earlier quoted context omitted.
The GP was arguing a point that is agreed-upon by many who argue against affirmative action — that the minorities ostensibly helped are harmed in the bigger picture. Yet you rip on the GP for not thinking enough about the whites and Asians who are also the victims of affirmative action? You could be a bit reflexively polarized about this issue.
Perhaps he's against discrimination, and that then automatically leads to the "reflexively polarized" opinion. How about we judge people on their merits ?
The GP didn't post their resumé and CV -- nor should that be some kind of pre-requisite for discussion -- so I'm limited to judging and critiquing the content of their comment. Likewise, we shouldn't be interested in each other's character beyond the personal viewpoints we each have relating to the discussion.
Re: YouTube Hiring for Some Positions Excluded White and Asian Males, Lawsuit Says
#254Just wait until y'all get over 40. Then you'll see what discrimination feels like too. Ive had interviews where they wont even talk to me once they come in and get a look at me. They instantly say sorry were not looking anymore, sorry to waste your time. But the job stays up. The problem really might be that no one has a good solution. Discrimination exists, no one has a clue what to do about it. These "affirmative-a…
What size were the companies? Did it happen at the big tech companies?
Re: YouTube Hiring for Some Positions Excluded White and Asian Males, Lawsuit Says
#255Earlier quoted context omitted.
Note, this lawsuit is being brought by former Google recruiters who say they were ordered to "purge" certain groups from the interview queue. > YouTube recruiters were allegedly instructed to cancel interviews with applicants who weren’t female, black or Hispanic, and to “purge entirely” the applications of people who didn’t fit those categories, the lawsuit claims. I'd like to remind people of what Denise Young Smit…
What seems to be going on, I think, is largely a one-sided story. There are many people with bullhorns who speak, for whatever reasons, but who seem to go largely unchallenged. Whether that's due to unawareness, lack of critical thought, laziness, or perceived distance (e.g. "I think things are still fine with me; I can't or don't see how this could affect me."), I can't say for certain, but I imagine many people are…
From personal experience after having talked to several colleagues about this in private, all of whom feel this is wrong, the simple reason for why people don't speak or engage in open discourse is fear. And after having seen what happens to the ones that speak up it seems like legitimate fear.
Re: YouTube Hiring for Some Positions Excluded White and Asian Males, Lawsuit Says
#256Earlier quoted context omitted.
This assumes that there are equal number of people in the hiring pool in each category. There is nothing to suggest that the applicants that apply are drawn at random from the population. Also the absolute numbers of each groups also matter. On this basis we should expect far few Asian and Black employees just on the basis that there are fewer than whites within the USA [0]. 0. This is assuming the employee pool is d…
Ok. California is 39% Hispanic, 38.8% White, 5.8% Black and 13% Asian. California has 40 Million people. Let's say half have not graduated college yet and are not in the employee pool. That means 8 Million Hispanics, 8 Million whites, 1.16 Million Blacks and 2.6 Million Asians. Taking this new information into account, Asians should be around 37% of the employees, Blacks less than 1%, Hispanics around 9% and Whites 5…
Based on those assumptions, which I'll iterate below first, let's get the numbers:
1) hiring based on IQ, cutoff at 2 standard deviations above the global mean (mu = 100, sigma = 15, by design), 2 sigma above that makes 130. You get hired if you're the candidate with the highest IQ, if you satisfy the minimum of an IQ of 130
2) 8/20 hispanic, 8/20 white, 1.16/20 black, 2.6/20 asians (and let's just pretned that sums to 100%). Or: 40% hispanic, 40% white, 5.8% black, 13% asian
3) let's assume 1000 candidates for each position.
So each round has 1000 candidates: 400 hispanics, IQ taken from N(90, 15) 400 whites, IQ taken from N(100, 15) 58 black, IQ taken from N(85, 15) 130 asians, IQ taken from N(105, 15)
The numbers: 33.42% Asians, 10.85% Hispanic, 0.54% Black, 55.20% White
Odds of getting hired under those criteria: 0.25% Asians, 0.02% Hispanics, 0.01% Black, 0.13% White
And that's why nobody's going to be happy with expected outcomes. Just imagine the (completely "fair") news headline "Asians 25 TIMES more likely to get hired than blacks in the bay area".
import random
counts = {'h': 0, 'w': 0, 'b': 0, 'a': 0, None: 0}
experiments = 10000
for x in range(experiments):
candidates = []
for h in range(400):
iq = random.normalvariate(90, 15)
candidates.append((iq, 'h'))
for w in range(400):
iq = random.normalvariate(100, 15)
candidates.append((iq, 'w'))
for b in range(58):
iq = random.normalvariate(85, 15)
candidates.append((iq, 'b'))
for a in range(130):
iq = random.normalvariate(105, 15)
candidates.append((iq, 'a'))
# filter iq > 130
candidates = [(iq, typ) for (iq, typ) in candidates if iq > 130]
if candidates:
selected = sorted(candidates, key=lambda (x,y):x)[0][1]
else:
selected = None
counts[selected] += 1
total = sum(counts.values())
print total
for k, v in counts.items():
print "%s %2.2f" % (k, 100.0 * v/total)
print "odds of hire if hispanic : %2.4f%%" % (100.0*counts['h']/experiments / 400)
print "odds of hire if white : %2.4f%%" % (100.0*counts['w']/experiments / 400)
print "odds of hire if black : %2.4f%%" % (100.0*counts['b']/experiments / 58)
print "odds of hire if asian : %2.4f%%" % (100.0*counts['a']/experiments / 130)
print "odds of no hire at all: %2.4f%%" % (100.0*counts[None]/experiments)Re: YouTube Hiring for Some Positions Excluded White and Asian Males, Lawsuit Says
#257Earlier quoted context omitted.
This starts with the [diversity pledge]( http://thehill.com/policy/technology/284517-white-house-pres... ) pushed by Obama administration, including companies like Airbnb, Box, GitHub, GoDaddy, Intel, Lyft, Medium. No wonder many Asians sigh relief when Clinton failed her presidency, or she surely would have pushed for more.
That is not accurate according to 2016 votes: http://aaldef.org/TheAsianAmericanVote2016-AALDEF.pdf 79% of Asians voted for Clinton.
New Asian immigrants moved to Bay Area for high paying tech jobs have very different views from those that were born in America or have lived here for a long time. Many of the new immigrants have no citizenship yet while the latter are simply much less impacted by these diversity movements overall
Re: YouTube Hiring for Some Positions Excluded White and Asian Males, Lawsuit Says
#258Earlier quoted context omitted.
Anecdotally I only knew two Trump voters in the Bay Area. One is Chinese and the other Indian. Polling was not great in the last election, maybe because pollsters can mainly call people with landlines [1] which excludes large pools of people. [1] https://www.washingtonpost.com/blogs/govbeat/wp/2014/03/12/t...
> Polling was not great in the last election Exit polls are different from opinion polls. The surveying techniques are entirely different, and in general exit polls are considered far more accurate than opinion polls -- because you're polling on a concrete question ("who did you vote for a few minutes ago") rather than a less concrete one ("who are you more likely to vote for").
Considering how many people were shamed for voting for trump I’m not entirely sure how accurate those exit polls were as most of them predicted a landslide for HRC before the count started.
Re: YouTube Hiring for Some Positions Excluded White and Asian Males, Lawsuit Says
#259The thing I hate about actions like this is what it does to talented people who fit some diversity quota checklist, both in the perception they have of themselves and those of other people. If you are a talented melanin-rich woman you are going to face both heightened impostor syndrome and dismissal by others that you only got the job because of some quota. Not good for anyone. There are no easy solutions, but it wou…
Well, we certainly should concentrate on removing hurdles, of course. But patching problems is not necessarily a bad idea, especially from the point of view of the employers themselves. Legality aside, there is a moral/practical argument for some discrimination based on "race" as a patch, which benefits the employer, so it's what we should expect employers to do. It's also something to keep in mind when thinking peop…
This approach only works if someone higher up in the education food chain hasn’t already correct for any earlier poor schooling by using some form of “affirmative action” in grading.
The best way of overcoming handicaps based on poor schooling or other social/environmental handicaps is to fix the schooling (hard and long term) or just use g. Of course if you use g you run straight into Spearman’s Hypothesis [0].
Re: YouTube Hiring for Some Positions Excluded White and Asian Males, Lawsuit Says
#260Earlier quoted context omitted.
Ok. California is 39% Hispanic, 38.8% White, 5.8% Black and 13% Asian. California has 40 Million people. Let's say half have not graduated college yet and are not in the employee pool. That means 8 Million Hispanics, 8 Million whites, 1.16 Million Blacks and 2.6 Million Asians. Taking this new information into account, Asians should be around 37% of the employees, Blacks less than 1%, Hispanics around 9% and Whites 5…
Based on those assumptions, which I'll iterate below first, let's get the numbers: 1) hiring based on IQ, cutoff at 2 standard deviations above the global mean (mu = 100, sigma = 15, by design), 2 sigma above that makes 130. You get hired if you're the candidate with the highest IQ, if you satisfy the minimum of an IQ of 130 2) 8/20 hispanic, 8/20 white, 1.16/20 black, 2.6/20 asians (and let's just pretned that sums…
You are going to have trouble fitting all of this into a tweet.