Google Diversity Report Straight Out of 'How To Lie With Statistics' Playbook
theodp writes: Among the books recommended by Bill Gates for beach reading this summer is How to Lie With Statistics, the published-in-1954-but-timely-as-ever introduction to the (mis)use of statistics. So, how can one lie with statistics? "Sometimes it is percentages that are given and raw figures that are missing," explains the book, "and this can be deceptive too." So, does this explain Google's just-released Diversity Report and the accompanying chock-full-o-percentages narrative (find-all-%-image), which boasts "the Black community in grew [sic] by 38 percent", while the less-impressive raw figures — e.g., the number of Google employees increased by 5,928, but the ranks of Black females only increased by 35 (less than 0.6% of the net increase) — are relegated to a PDF of its EEO-1 Report that's linked to in the fine-print footnotes? To be fair to Google, Microsoft, Twitter, Apple and Amazon didn't want people to see their EEO-1 numbers, either.
The big lie, I guess.
If you imagine that you are tired of hearing about it as a reader or tech employee, just imagine how it might be for the people whose job it is to make this bettter at the supposedly forward thinking tech giants.
How are those numbers coming, Jim?
Well, we've hired as many somewhat qualified people as we can find, and it's still not enough. Can we count the cafeteria employees again this year?
Happiness in intelligent people is the rarest thing I know.
Ernest Hemingway
Dice and Sourceforge...
Providing free software... whether you want it or not.
My thoughts exactly!
My father told me that when I took math classes in college, that Statistics I will teach me everything I really needed to know about the subject, but that Statistics II would teach me how to lie with what I learned. He was not incorrect. There's so many ways to manipulate the data that I find it very, very difficult to trust ANY stats that I find in the news without also having access to the raw data, the methodology, questions used, selection process, etc., etc., etc.
Love sees no species.
Google hires people based on talent. Women and minorities are under-represented in the technical and engineering community. That is a fact of life. Until more women and minorities CHOOSE to enter this field, getting a "diverse workforce" would have to mean you exclude more qualified white males in order to hire less qualified minorities and women.
Think about that for a moment. Suppose hospitals did things this way? If you need critical brain or heart surgery, do you want your surgeon to be one of the best in his or her field, or one that was a "diversity hire"?
Until you're comfortable with the second option, this "diversity" idiocy needs to stop. It's one thing to exclude perfectly qualified candidates because they're female or minority. It's another thing to make that the primary reason you're hiring them instead of making sure they're the best qualified for the job.
In the end they will lay their freedom at our feet and say to us, Make us your slaves, but feed us. - Fyodor Dostoyevsky
Everyone is ignoring the most important number!
Difference between percantage of [minority] employees and percentage of [minority] applicants.
Heck if you only have 2% white employees, that makes you the most diverse employer ever if only 0.5% of applicants were white.
It would take some steam out of this whole discussion to have a look at those numbers.
Granted, with numbers as in my hypothetical example would definitely point out a problem (or at least an interesting statistical anomaly), but outside the scope of the hiring company. And of course nothing should keep a company from starting programs in schools end universities to fix that problem, but not through some skewed hiring policy.
bickerdyke
Oops, I did slightly understate the denominator (couldn't cut-and-paste numbers), but results are close to same (actually a pinch worse). From the linked-to Google EEO-1 filing: (Current # Black Female Employees (250) - Prior # Black Female Employees (235)) / (Current Overall Total # Employees (32,527) - Prior Total # Employees (26,559)) = 35 / 5,968 = 0.0058646113, or about 0.59%.
At google and every other big tech company.
What evil is Google perpetrating, exactly? Trying to present irrelevant data in a positive light to people who pretend it is relevant?
appended to the end of comments you post, 120 chars
Well your resume looks very good, unfortunately to maintain our SJW quota we're looking for a paraplegic transsexual from Romania.
Yes, that is exactly how minority groups end up with all the best jobs.
To have a right to do a thing is not at all the same as to be right in doing it
Related to that, however, is the question of what hormonal influences may arise. For one example (of many possible), with males, you often see more aggression, and (obviously) with females, less. Pretending there can be no relevant differences WRT job performance is not an optimum approach. Furthermore, interactions between the people of significantly different sexual identity are of inherently different natures. Much as the incoherent would like you not to believe it, the vast majority of us are sexual creatures. We are naturally and unavoidably affected by other concerns than the specifics of today's TPS report.
Same thing goes for age, various cultural influences, parent or not, single or not, personal maintainance, presentation, health, mobility, superstition, depth of education, and means of education (conventional, autodidact, on-the-job, etc.)
Because of these truths, consideration should be given to such factors. And of course it is, and always will be. But mostly because of the law, much of this is now sub-rosa, which is entirely a bad thing -- a bad thing that at least partially offsets the benefits of the law overriding (or at least attempting to override) people who operate using a chain of reasoning that primarily incorporates blind prejudice rather than "how will this affect job performance?"
Politically correct often means "poorly thought out and mostly harmful." When there are differences, there are differences. Pretending otherwise doesn't make such things go away. It just makes them harder to deal with.
I've fallen off your lawn, and I can't get up.
Google is being evil here. No slack for this should be contemplated whatsoever.
How are they being evil? What individual was harmed? Is there any evidence that black applicants were treated differently than white applicants?
Comparing "murder" with "reporting the race of Google employees in a way you don't like" is a little hysterical, don't you think?
Google is being evil here.
So, you are a racist and/or sexist person, supporting race and/or sex discrimination, for privileges based on race and/or sex!
Am I right, or am I right?
Antisthenes: "Wisdom begins by examining the words/names." - excuse my English, i am (slightly...) better with my Greek!
I have a suspicion when companies grow to a certain size they reach a point where they have to engage in these sorts of politically correct follies or otherwise risk being publicly accused racism, sexism, achondroplasiaphobia, etc. whenever an unqualified candidate doesn’t get hired. It also gives a chance for worthless HR clowns to be elevated to C level positions such as “Chief Diversity Officer”.
"Google is being evil here"
Uh, Yah... they are being real evil.
They should fire a bunch of white people and hire a bunch of non-white people based solely on the color of their skin.
That would make them not evil.
Unless you'd care to present your genetic research which demonstrates that black women are rendered incapable of understanding math and science by some inherent biological or genetic flaw?
I would only need to present the number of black women taking the courses needed for the field compared to the total. It doesn't matter if they are perfectly capably of doing the job if they were educated in it if they aren't getting the education in the right fields. However, the stats show they avoid engineering degrees like the plague and swarm sociology like it were the second coming.
You seem fringe left to me. But hey, perhaps you're just trolling. Difficult to tell.
I've fallen off your lawn, and I can't get up.
What they should do is publish relevant and clear statistics on the issue instead of attempting to obfuscate the relevant issues at hand.
Try to keep up. It's really not that difficult.
I've fallen off your lawn, and I can't get up.
In this case (there are certainly others), they are using deceptive reporting to mislead people on the current state of affairs. Ask yourself why they would do this. The answer isn't "because they are angels."
I've fallen off your lawn, and I can't get up.
See here
I've fallen off your lawn, and I can't get up.
You are under the impression that people tell the truth. Very rarely do people tell the truth. The whole Political Correctness gig is simply a "how to avoid telling the truth". We are lied to daily, by almost everyone that has media outreach, from broadcasters to politicians to advertisements to government officials to business leaders.
The fact that most Americans still "trust" anyone at this point is a testament that lying still works. AND If you say it convincingly enough (wagging finger ... "I did not have sexual relations, with that woman, Ms Lewinsky") it actually works!
The best liars are the ones that you thank after they've lied to you. "Thank you sir, may I have another?"
Agent K: A *person* is smart. People are dumb, stupid, panicky animals, and you know it.
To be demographically representative of the US population, they would have to fire lots of Asians, and hire more Caucasians and African Americans, since the latter two groups are both statistically underrepresented.
In this case (there are certainly others), they are using deceptive reporting to mislead people on the current state of affairs. Ask yourself why they would do this. The answer isn't "because they are angels."
Probably because they, like many other tech companies, are getting incessantly railed on an issue that is out of their control.
I don't know about you or any of these other SJWs, but I went to college for an IT career, and I only recall seeing at most one or two black people to a class the size of about 30 in any of my technology classes. In other classes I took (mainly the general requirement classes) there were more. (Most of the ones I met were either going for legal or service industry management careers.)
For whatever reason, most of them don't care to pursue a career related to technology. That isn't Google, Microsoft, Amazon, or anybody else's fault. Meanwhile they have to catch shit about it all the time, and pay ransom money to Al Sharpton (who himself is the real lying sack of shit.)
The same can be said of women, by the way. As another anecdote, two of my cousins are currently wanting to get IT jobs, but their sister wants to become a dentist, and that isn't due to any different treatment by their parents (they buy her as much computer stuff as they buy for her brothers. In fact she often asks for and receives more expensive Apple phones/tablets where they get Android devices.)
You seem fringe left to me. But hey, perhaps you're just trolling. Difficult to tell.
I am NOT trolling...
(replacing my last "Am I right, or am I right?" phrase with just "Right?")
my revised reply to you:
Google is being evil here.
So, you are a racist and/or sexist person, supporting race and/or sex discrimination, for privileges based on race and/or sex!
Right?
Antisthenes: "Wisdom begins by examining the words/names." - excuse my English, i am (slightly...) better with my Greek!
What is the distribution of skin colors of Google's employees possibly ever relevant to?
What is the distribution of skin colors of Google's employees possibly ever relevant to?
Its relevant to knowing if their hiring practices are biased for or against people with a certain skin colour, for example...
SJW n. One who posts facts.
So the holy grail of diversity is finding a mentally handicapped, physically disabled, lesbian black woman with an impoverished background?
No, the holy grail of diveresity is that if that person can actually do the job as well as anyone else then there is no reason to exclude her from consideration.
To have a right to do a thing is not at all the same as to be right in doing it
I clicked the link hoping for actual evidence, but I got more speculation.
To answer the questions posed at the post linked, what's happening is that gender lunatics along with other special interest groups are simply hammering tech right now with the equivalent of "Have you stopped beating your wife yet?"
As far as racial issues, hoo boy. Yes, there are quite real problems here, but the problems are at the K-12 stage, not at the workplace. If these groups were serious about changing things, they'd be out in communities trying to help families realize value for education and to get schools in impoverished neighborhoods more funding and better resources.
I am far more receptive to the overall race issue. We can't expect centuries of slavery and Jim Crow laws to just magically sort itself out. BUT: tech companies and workers can do nothing about it, short of donating to some initiative that fits what I wrote above. If there is no evidence that these companies are discriminating against actual applicants, what the fuck are you asking them to do?
What I need to change my mind are some actual demographic data. How many black applicants with this GPA from X college applied and were hired vs. how many white or Asian applicants with the same GPA from same X college applied and were hired? That's how you generate reasonable suspicion of racism. Without knowing how many black applicants who at least on paper appear to be equal to their white and Asian colleagues, even knowing the number of employed blacks is meaningless to me.
Then there's the gender lunatics.
My first question, although it would amount to a rounding error, concerns trans women. How are trans women reported? Do we go by lived gender (i.e. name's changed, on HRT)? Do we go by bottom surgery status? Do we go by birth certificate gender, which, depending on the state of birth, cannot be changed even after bottom surgery? Or do we go with the feminist view as stated by Janice Raymond and the Michigan Womyn's Music Festival (i.e. trans women are not only rapists because they're men, but also metaphysical rapists because they have the audacity to have the same body parts as women)?
So, ok, rounding error aside, but I'd like to segue into the real point that the preponderance of trans women who are in tech raises the question of why are there very few cisgendered women who go into tech? Sure, I'm being a hypocrite here because I don't have the demographic data to back up my assertion, but visit any gallery of successful trans women. Sysadmins! Programmers! EEs! DBAs! More sysadmins and programmers!
There is no economic disparity in childhood between daughters and sons, unlike the race issue.
Do you have a good theory we can use to explain this?
Gender lunatics across the board from feminists to MRAs all take a shit on trans women. Yet, you'll find trans women in tech. Why? What is the difference here between cisgendered and transgendered women?
-- kurenai.tsubasa (not bothering to register this account here because fuck beta)
Its relevant to knowing if their hiring practices are biased for or against people with a certain skin colour, for example...
No, it's not. To do that, you'd need an analysis that includes much more than just who is working there now. Two huge variables you're leaving out:
1) How many minorities actually applied for a job there?
2) Of those, how many were actually qualified?
Go take your zero knowledge SJW outrage to twitter and/or wordpress where it belongs.
Suppose I said "To be fair to [a murderer], [other murderer1], [other murderer2], [other murderer3] and [other murderer4] didn't [fail to murder], either."
Suddenly it becomes (or should become) obvious that there is nothing relevant whatsoever about the other entity's actions that involves being "fair" to the entity being examined.
Google is being evil here. No slack for this should be contemplated whatsoever. It is irrelevant to our consideration of Google if/that others are being evil as well. The metric shouldn't in any way be "everyone does it", it should be "this company is doing bad things, and they should stop."
You rarely hear anyone say that Jack the Ripper was an evil person, but Charles Manson was really a nice guy that was just misunderstood.
In this case, though, you may get a large number of fanboys of other technology companies spouting about how this makes Google the most evil company in the history of the world.
Reading between the lines is the following at Google HQ.
They hire a lot of men as engineers. Not an incredible surprise.
People have picked up on that and want to call them out on that, so they pressure them to release their diversity stats.
The stats say what everyone knows: there's a lot of men at Google. Many are white or possibly Asian. Just like in the rest of the IT industry.
Google sees where this is going, and it does its best to spin the stats as a good thing. Especially the significant portion of ethnic/racial minorities, albeit minority men.
As expected, the other side homes in on the intersection of black and female and calls Google out on only having 35 black, female engineers.
Here's the question. What does Google look like when everyone gets what they want?
Does Google have to throw money at some programs for black female coders?
Does Google have to have a hiring quota for black females?
Does Google have to launch a campaign to get black females into coding and STEM?
Just what is the point of all of this? It feels one side wants to expose something that everyone already knows: there aren't a lot of females in computing in general, fewer of them are black females.
If there is a demonstrable benefit to having a completely diverse workforce as a force multiplier, a corporation, especially one like Google, isn't likely to avoid diversity for the sole purpose of perpetuating the white Patriarchy. Honestly, speaking as someone who hires people for IT work, I'll tell you what the problem is. There are no candidates who are black and female. I'm not rejecting these candidates, I literally never see them. Ever.
We all know this, and yet.... somehow everyone wants us to self-flagellate over an issue that we have almost no control over.
Google is likely sensitive in the same way that anyone in that situation would be. What happens when you don't aim to discriminate, but you end up with a non-diverse workforce based on the demographics of the pool of available workers?
As English is your second language, your word choice isn't making it obvious what side you're taking. It is not clear to me if you are using sarcasm or are actually calling someone out as a racist.
I'm thinking sarcasm, but I could be wrong. Others will not bother to think about it and think you just called them a racist, which will get you an angry response. As you have seen.
Yes, i struggle with my bad English, but as a RACIST AND SEXIST Greek i think i know about sarcasm and how to use it for OTHER racist and/or sexist persons, supporting race and/or sex discrimination, for privileges based on race and/or sex... plus, my signature is: Antisthenes: "Wisdom begins by examining the words/names." - excuse my English, i am (slightly...) better with my Greek!
Antisthenes: "Wisdom begins by examining the words/names." - excuse my English, i am (slightly...) better with my Greek!
Did you miss fyngyrz's whole comment about how it's still bad to behave badly, no matter what others are doing?
The first two people I hired to work at my business were females. The first was a stenographer/secretary. The second was a programmer of some note that I stole from a buddy (he did not mind too much) who owned his own company as well. The third was a black male who was also a programmer. Then came a bunch of females as a sales force - being held accountable to a female. For quite some time my other business friends called my shop, "The Bunny Ranch."
Actually, the first person I hired was Amerindian, Black, and White. It was me. I had an asshole for a boss too. He made me work long hours, sometimes without pay, and seldom paid me for all the hours I put in until long after the company was secure.
Anyhow, my point has nothing to do with me wanting diversity. In fact, that was the furthest thing from my mind. I wanted to hire the best, pay them well, and encourage low turnover by incentivising (spell check says that is not a word, if it is not then I declare it as such now) remaining with the company. I was easily approachable (then HR was) and if one felt they were inclined to leave we would do our best to ensure that they were given reasons to remain. We paid more by default, we offered better benefits by default and immediately upon hire, and we offered "telecommuting" long before such was a word. Due to the expense we paid for their connection and hardware as well - allowing them to keep the hardware (even if they resigned) and generally left the connection running for some time as well. This was seldom applicable though, and this was a good thing.
It is not diversity that matters (though it can happen by accident as you see above). What matters is merit, low-turnover, and an employer that does not treat you like an asset or a piece of meat.
"So long and thanks for all the fish."
To be fair they did not say all or best. I think the implication was that this could happen and that those people mentioned could also have earned the job via merit. I do not dare say that was certainly their intent but I try to believe the best rather than beating up strawmen of my own construction.
"So long and thanks for all the fish."
The part that gets me is the internal inconsistency of all of these initiatives.
I hear a lot of drum-pounding over how hostile tech environments are to women and minorities (they MUST be, or else there would be more of them in these environments*). But, let's make it so more of them want to head into the jaws of the wolf anyway?
What am I missing here?
*Yes, I am well aware that research dictates those candidates are self-selecting out of careers in STEM for other reasons, but I'm playing devil's advocate here.
Some people don't believe in fairies. I don't believe in The Patriarchy.
I didn't miss that at all. If we accept bad behavior isn't that actually worse?
Agent K: A *person* is smart. People are dumb, stupid, panicky animals, and you know it.
Google provided the numeric information, although I can't see any real use for it without additional information that may not be available even inside Google. If you'd like to suggest a use for it, without other information we're not going to get, feel free.
"When you have eliminated the unacceptable, whatever is left, however improbable, must be the truthiness" - Holmes
Except that now you are talking about a very expensive and difficult report to create. You would end up creating a team of people whose sole job is to collect, organize and report this information while providing no benefit back to Google. Why do you feel Google owes this to you? Sorry, not doing that does not make them evil.
I am 1/4 black, by your definition I am a nigger - on that half the other quarter is Amerindian. This nigger got his graduates degree in maths and masters in electrical engineering. This nigger started, made solid, and sold his company for an "upper-medium" eight digit figure - ten digits if you count stock in the buyer's parent company. In fact, if you go to some stadiums then you may have driven across roads and entered a stadium that this nigger's company did the traffic modeling (vehicular and, eventually, pedestrian) for. This nigger did much managing and clerical work (more so at the start) and programmed, made custom hardware like 10BASE-2 boards to network a plotter long before such was commercially available -- it even supported a queue, and submitted proposals as well as performed consulting work across the country and in Canada with an eventual expanding to three offices that were able to cover the entire potential sales area. It was a lucrative business which was better, safer, and easier than this nigger working the corner to sell drugs.
Niggers - we do more than pick cotton and we do it well. I usually avoid using the title (it is often assumed that I know medicine even after I clarify) but I will make an exception for you my bigoted fellow human... You, Mr. Anonymous Coward (who will not personally accept blowback for their racist beliefs) can call me Doctor. You, Sir or Ma'am, have my express permission, nay my demand, to call me Dr. Nigger. I, on the other hand, will be proud of such a title being used by you and your ilk.
I do not hate you. I do not wish you harm. I am happy and you have no power to control my thoughts or actions. I do choose, however, to be sorry for you. Why am I sorry for you? Well, I will leave that as an exercise for your imagination.
Also, I sleep with your white women.
Good day. No, I mean it. Seriously, have yourself an excellent day.
"So long and thanks for all the fish."
Hey, FUCK you! I lost a BUNCH of weight!
...jackass...
Populus vult decipi, ergo decipiatur...
"Force shits upon Reason's back." - Poor Richard's Almanac
Raw numbers (assuming they are true) do not lie, they are just misunderstood by people because the people using them can not communicate clearly.
"So long and thanks for all the fish."
The question should not be "What percentage of your IT staff is African American?".
The question should be "What percentage of qualified African American IT applicants were hired?".
If Google is only getting 5 AA applicants for every 100 white applicants (or asian, or whatever...) then it puts Google in a tough position. Should they be expected to hire all 5 AA applicants, regardless of merit, to give the appearance of "evening things out"? Even if they do hire all 5 then someone will still complain that only 5 AA's were hired vs. X amount of white applicants.
This is what the race haters like Sharpton conveniently ignore. The problem is that companies are not getting enough qualified AA applicants, not that the AA applicants are being discriminated against.
If there is a low percentage of AA grads in IT programs I don't see that as a problem. I see it as a choice. People gravitate towards what they enjoy and what they are good at and employment opportunities and family/lifestyle choices.
Look, my experience as someone with a first name that is gender neutral, but trends female with the spelling, has been awesome. Many of the emails from recruiters address me as Ms., not Mr.
Overall, it is an advantage for me, because I get calls that I otherwise would not. I was told flat out after getting one job that I had been targeted initially because they thought I was a woman. I also know a guy named Brooke, and he gets tons of calls.
If you are a woman in tech, you pretty much have it made, because companies will compete for you. They *are* competing for you. Your biggest challenge is deciding which offer(s) to accept, and while that can be daunting, it's still an enviable position. Complaining about it to men is like complaining about the buffet selection to a homeless person. If you're a woman in tech that's not getting hired, it's *not* because you are a woman, it's because you're .
All else being equal, I *much* prefer to work with women too. They're usually tactful, often have insights that I lack, and they typically have better hygiene to boot. What I don't like is listening to people complain about problems that do not exist. The problem isn't that women are being kept out of tech -- they are being welcomed with open arms -- it's that they don't want to be there, and it's an insult to their autonomy to tell them they *should* want to be there when they don't.
https://www.eff.org/https-everywhere
There is underlying racism going on (I don't know how much is institutionalized). However, it's very clear that this racism has had its effect long before Google receives job applications, so completely non-racist hiring will result in some groups being overrepresented (like Asian men) and some underrepresented (black women). FWIW, some large computer companies, including Google, are trying to encourage said underrepresented groups to get into software development.
"When you have eliminated the unacceptable, whatever is left, however improbable, must be the truthiness" - Holmes
You can't say Google is evil based solely on the racial status of their employees. You also have to look at the number of applicants for a job. If only 5% of applicants have a particular racial profile would you expect more than 5% in their workforce?
In this case (there are certainly others), they are using deceptive reporting to mislead people on the current state of affairs. Ask yourself why they would do this. The answer isn't "because they are angels."
Nope. It's because it was a USA Today hit piece from 6 months ago, and educators, parents, and guidance counselors don't want to take responsibility for the input to the pipeline, and it's a slow news day.
They don't release the numbers because they don't want to be blamed for them, when they can only take whatever output comes out of the pipeline.
It's not like there are huge numbers of PhD CS people in the underrepresented minorities just sitting around twiddling their thumbs: everyone knows that the only people who get discriminated against for these jobs are people who are old (sorry... "not 'digital natives'... must use the code words), or who learned by doing, and so have no reasonable credentials with which to protect their employers in the event of a lawsuit.
It's also not like the CollegeBoard would not *gleefully* take the money of anyone who wanted to pay for the AP Computer Science test, or any other freaking AP test, period: they will happily take *all* your money if you are willing to give it to them.
No the problem is the input to the pipeline, and it's not being addressed, and so on slow news days, you get attack pieces on the people on the other end, as if they could magically make an Comparative Literate graduate into a software engineer.
If the number of qualified black women is really that low, then this points to an underlying, institutionalized racism, that is discouraging or actively preventing black women from entering the field in the first place.
That is far from the only conclusion. It could also mean that black women don't generally care to go into fields that Google hires for.
If it DID mean that some organized society wide racism was keeping black women out of these fields, why should it be on Google's shoulders to hire unqualified people, rather than on Society's shoulder's to stop (almost used reverse, which would be the wrong word) the racism which keeps black women out of these fields.
If you are not allowed to question your government then the government has answered your question.
I am thinking of removing anti-discrimination laws completely (not just to create exceptions) and allowing regulators (such as anti-trust) to impose anti-discrimination conditions on specific companies instead.
No, it is not relevant to that: you cannot infer the presence or absence of racial biases in hiring practice by looking at the racial distribution of who actually got hired.
The data has no relevance; you cannot infer the presence of racial biases in hiring from this data.
There's a feeling that, I suppose, "where there's smoke, there's fire", except in this case, we don't actually know what the "fire" is.
Certain advocates seem to think it is because of discriminatory hiring practices, which I would agree is wrongheaded, if that was the case. I just don't believe it.
I believe that such practices could certainly happen in smaller shops with cozy "brogrammer" atmospheres, perhaps, but I have trouble believing that Google, which is both a big corporation and filled with many "progressive" sorts would allow racial or gender discrimination to become enshrined in their policy.
In fact, I know a person in the recruiting department at Google. She's a latina and pretty liberal. Not to mention a former editor for a newspaper. I can't imagine a person less likely to let a practice like that stand in her area. She'd probably have a piece written and on the desk of her remaining journalist friends in short order if there was any sort of dealings like that.
I just don't think people are turning women away at the door who really, really want to be in tech. I think that, for whatever reason, a greater number of women don't want to be in tech or don't have enough interest that field of study to want to consider it as a career.
The women I have worked with and interviewed never seemed to have any trouble getting their skills or experience and measuring up to the men, but there's always been very few of them. That leads me to believe that this all starts long before anyone ever gets to an interview or application.
If it's out of their control, why do you think minorities aren't pursuing careers in computer science? You don't think it could possibly be the rich, white, entitled brogrammer work environments that most of silicon valley brags about?
More data, damnit!
The data has no relevance; you cannot infer the presence of racial biases in hiring from this data.
No, you cannot figure it out from this data alone. but that doesn't mean you dont need it.
SJW n. One who posts facts.
You cannot prove the presence of bias in hiring from any such statistics, it doesn't matter what other data you have.
Well, when you learn to read yourself you can go back to the start of this thread and see that I was replying to someone who said that Google was being evil. You seem to be supporting that person's comment. I don't see how they can be evil (in regards to this report) unless they somehow owe the world all that information so I am aksing why they owe it.
It seems to me that they should hire the best applicants that apply (as best as they can determine that) and it's really nobody else's business.
I graduated from a Computer Engineering class of 400 from Virginia Tech in '97. There was one black guy and two women.
Not that I disagree, but she doesn't want the alternative.
If it's out of their control, why do you think minorities aren't pursuing careers in computer science?
It's likely a cultural preference. That's very similar to asking why is chicken more popular in India?
You don't think it could possibly be the rich, white, entitled brogrammer work environments that most of silicon valley brags about?
If that was the case, then Asians would be underrepresented. Instead the opposite is true, they're over-represented.
Basically you are making a really retarded assumption similar to this one:
If region's population is 40% black and 60% white, then all sales of rap music to that region should be going to 40% black people and 60% white people, because you know, we're all human and therefore have all of the same preferences. Likewise, 40% of sales of country music CDs should be going to black people, and 60% to white people. If the figures don't reach those numbers, then clearly the stores that are selling them are racist.
See how stupid that is? And fundamentally it's no different than what you're saying.
Oh, FFS. Look. No matter *what* I chose, the point, which you completely missed, was that one malfeasance is in no way made less by the existence of others.
By concentrating on the particulars -- which named no one and drew no level of equivalence except withing the example, as without -- you failed.
The example is the same if it is stealing from the cookie jar or shoplifting -- or murder -- or twisting the truth. That's the WHOLE POINT. That's the whooshing sound you heard.
The slashdotter below you screws up and makes some dumb remark about my post, missing the point? Doesn't excuse you doing it at all. How's that? A little closer to home?
I've fallen off your lawn, and I can't get up.
I didn't do anything of the kind. I substituted an act for an act. I pointed out a general truth that applies across the board. That's all.
Seriously, it's like some of you never made it through English class.
I've fallen off your lawn, and I can't get up.
"Diverse society will fail" --Putnam;
http://www.boston.com/news/glo...
Casteism
You cannot prove the presence of bias in hiring from any such statistics, it doesn't matter what other data you have.
Sounds like you're claiming it's impossible to prove (i.e. show with a high degree of certainty) bias with statistics.
Whatever dude.
SJW n. One who posts facts.