Google male engineeer saying female engineers shouldn't be engineers

Anonymous
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:Wage gap is a myth (agree)
Diversity for diversities sake is a joke should hire the best (agree)
Women are different than men and are better at certain things (agree)

Anyone not agree with those 3?


I disagree with all 3.

Wage gap is real

Diversity "for diversity sake" is not a joke, we need different viewpoints depending on the job. I am not going to hire a white dude from Vermont who graduated from an Ivy league school to market products to black customers in Chicago, even if his GPA and class rank is higher than the black chick from Chicago who graduated from a Chicago state school.

NO women are not "better at certain things" ... some women are better at certain thing, some women are not, some men are better at certain things, some men are not. I don't think every man would make a better Army soldier than every woman. We need to look at everybody as an individual regardless of their gender.


Outliers don't make the rule. According to certain studies, men on average have one standard deviation higher spatial intelligence quotient than women. This domain is one of the few where clear sex differences in cognition appear (likewise the brain structure associated with this type of intelligence, the parietal lobe, differs between male and female brains). However, in some studies, once time constraints were removed, women did as well as men. It has also been found that spatial ability correlates with verbal ability in women but not in men, suggesting that women may use different strategies for spatial visualization tasks than men do. Spatial intelligence is often a requirement to make it through engineering courses, as one needs to flip the orientation of objects in ones head to visualize designs, and understand a summation of forces at moment in basic engineering classes like engineering statics.



You clearly do not understand averages or outliers or hiring practices.

It does not matter if one study showed that the men in that study had a higher score in spatial intelligence (spacial relations is what is actually measured) you would need to do a longitudinal study and you would have to correct for nurture.

It also does not mean men are better than women it just means more men score higher, but a huge amount of women also score high.


It's not one study, this is one of the few areas there there are non-trivial differences in intelligence between men and women (there are many potential causes for this, but no consensus). This is not controversial. What may be controversial is whether or not spatial intelligence leads to success in STEM, though there are a number of studies that show a strong correlation.

Men and women have approximately average general intelligence (with men tending to be slightly higher) but the distributions are not the same (see link below to a graph). This difference makes a huge difference among outliers when looking at differences in standard deviations. There more dumb men than dumb women. There are more smart men than smart women. A greater number of women's IQs are within one standard deviation of average than for men. In other words, highly intelligent women (among women) are even more of an outlier than highly intelligent men. (among men) due to paucity of numbers. These aren't huge amounts of people like you allege, but a relatively small part of the population. The reason I bring this up is that you have a very limited pool of people to recruit from because relatively few people in our population have the potential to complete the educational requirements for employment in the tech industry (for example someone on the left side of the bell curve can not comprehend differential equations and will never graduate with a BS in engineering). This makes it more difficult to reach parity in certain fields because the talent pool is smaller. This leads to a problem for HR staff when trying to meet diversity goals.

https://qph.ec.quoracdn.net/main-qimg-16b03344e557c02d559cc5fac9724be3

I would allege that I understand more about the concepts of averages and outliers than you do, but HR is not my field of expertise. I'm an electrical engineer, I can certainly apply concepts I learned in modeling analysis and uncertainty (basically statistical analysis for engineers) to read a graph.



Anonymous
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:Assume most people have seen this by now if not google

Curious on thoughts of individuals

Are there actual differences between males and females?

How much should companies push for diversity (sexual, racial, etc)?

For something like coding does race/sex matter at all shouldn't you just higher the best coders period?


Remember folks, this is the company that pleads for more low skilled entry level IT workers, because they can't find enough qualified IT workers, yet their average age is 27!!!

So far, 269 people have joined a class-action lawsuit against Google claiming they were discriminated against in the workplace based on their age. The scope of the lawsuit against Alphabet's Google division was revealed in a ruling by U.S. District Court Judge Howard Lloyd and follows what he referred to as a “lengthy” hearing that took place in a San Jose on July 26.

https://www.bizjournals.com/sanjose/news/2017/08/01/google-age-discrimination-lawsuit-class-action.html

and the democrats take it up the rear from Google to get their money. so sad!


Tech in general discriminates against age. But honestly, there are a lot of people who do not keep current.


Ugh cmon guys. I can find a code monkey that is just as good as you for half the salary.

Coding is pretty much a commodity at this point. If you don't specialize or go into management you can't command a 6 figure salary when people can do it just as well for half that


I would tend to agree, which is all the more reason to get sponsored for a clearance if you live in this area and don't want to code for the financial industry (unless you have talent when it comes to algorithms).
Anonymous
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:Wage gap is a myth (agree)
Diversity for diversities sake is a joke should hire the best (agree)
Women are different than men and are better at certain things (agree)

Anyone not agree with those 3?


I disagree with all 3.

Wage gap is real

Diversity "for diversity sake" is not a joke, we need different viewpoints depending on the job. I am not going to hire a white dude from Vermont who graduated from an Ivy league school to market products to black customers in Chicago, even if his GPA and class rank is higher than the black chick from Chicago who graduated from a Chicago state school.

NO women are not "better at certain things" ... some women are better at certain thing, some women are not, some men are better at certain things, some men are not. I don't think every man would make a better Army soldier than every woman. We need to look at everybody as an individual regardless of their gender.


Outliers don't make the rule. According to certain studies, men on average have one standard deviation higher spatial intelligence quotient than women. This domain is one of the few where clear sex differences in cognition appear (likewise the brain structure associated with this type of intelligence, the parietal lobe, differs between male and female brains). However, in some studies, once time constraints were removed, women did as well as men. It has also been found that spatial ability correlates with verbal ability in women but not in men, suggesting that women may use different strategies for spatial visualization tasks than men do. Spatial intelligence is often a requirement to make it through engineering courses, as one needs to flip the orientation of objects in ones head to visualize designs, and understand a summation of forces at moment in basic engineering classes like engineering statics.



You clearly do not understand averages or outliers or hiring practices.

It does not matter if one study showed that the men in that study had a higher score in spatial intelligence (spacial relations is what is actually measured) you would need to do a longitudinal study and you would have to correct for nurture.

It also does not mean men are better than women it just means more men score higher, but a huge amount of women also score high.


It's not one study, this is one of the few areas there there are non-trivial differences in intelligence between men and women (there are many potential causes for this, but no consensus). This is not controversial. What may be controversial is whether or not spatial intelligence leads to success in STEM, though there are a number of studies that show a strong correlation.

Men and women have approximately average general intelligence (with men tending to be slightly higher) but the distributions are not the same (see link below to a graph). This difference makes a huge difference among outliers when looking at differences in standard deviations. There more dumb men than dumb women. There are more smart men than smart women. A greater number of women's IQs are within one standard deviation of average than for men. In other words, highly intelligent women (among women) are even more of an outlier than highly intelligent men. (among men) due to paucity of numbers. These aren't huge amounts of people like you allege, but a relatively small part of the population. The reason I bring this up is that you have a very limited pool of people to recruit from because relatively few people in our population have the potential to complete the educational requirements for employment in the tech industry (for example someone on the left side of the bell curve can not comprehend differential equations and will never graduate with a BS in engineering). This makes it more difficult to reach parity in certain fields because the talent pool is smaller. This leads to a problem for HR staff when trying to meet diversity goals.

https://qph.ec.quoracdn.net/main-qimg-16b03344e557c02d559cc5fac9724be3

I would allege that I understand more about the concepts of averages and outliers than you do, but HR is not my field of expertise. I'm an electrical engineer, I can certainly apply concepts I learned in modeling analysis and uncertainty (basically statistical analysis for engineers) to read a graph.



But none of what you said boils down to how women would actually function as engineers in the workplace, if discrimination were removed. Women are not discriminated against based on the fact that some studies show relatively small differences in IQ distributions. They're discriminated against because of much broader stereotypes that women are neurotic, don't want to work hard, and are bad at math. And also, there's no evidence that for the run-of-the-mill coder, recruiting based purely on IQ is legitimate. If IQ-based recruiting resulted in a significant disparity in gender or race, then the employer would have to show that having the highest IQ possible is a bona fide employment requirement. They are not going to be able to show that, because there are just so many other qualities and characteristics that determine workplace success. While it's certainly true that coders probably need a certain level of IQ, there's not going to be evidence that IQ is the only relevant criteria.
Anonymous
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:Wage gap is a myth (agree)
Diversity for diversities sake is a joke should hire the best (agree)
Women are different than men and are better at certain things (agree)

Anyone not agree with those 3?


I disagree with all 3.

Wage gap is real

Diversity "for diversity sake" is not a joke, we need different viewpoints depending on the job. I am not going to hire a white dude from Vermont who graduated from an Ivy league school to market products to black customers in Chicago, even if his GPA and class rank is higher than the black chick from Chicago who graduated from a Chicago state school.

NO women are not "better at certain things" ... some women are better at certain thing, some women are not, some men are better at certain things, some men are not. I don't think every man would make a better Army soldier than every woman. We need to look at everybody as an individual regardless of their gender.


Outliers don't make the rule. According to certain studies, men on average have one standard deviation higher spatial intelligence quotient than women. This domain is one of the few where clear sex differences in cognition appear (likewise the brain structure associated with this type of intelligence, the parietal lobe, differs between male and female brains). However, in some studies, once time constraints were removed, women did as well as men. It has also been found that spatial ability correlates with verbal ability in women but not in men, suggesting that women may use different strategies for spatial visualization tasks than men do. Spatial intelligence is often a requirement to make it through engineering courses, as one needs to flip the orientation of objects in ones head to visualize designs, and understand a summation of forces at moment in basic engineering classes like engineering statics.



You clearly do not understand averages or outliers or hiring practices.

It does not matter if one study showed that the men in that study had a higher score in spatial intelligence (spacial relations is what is actually measured) you would need to do a longitudinal study and you would have to correct for nurture.

It also does not mean men are better than women it just means more men score higher, but a huge amount of women also score high.


It's not one study, this is one of the few areas there there are non-trivial differences in intelligence between men and women (there are many potential causes for this, but no consensus). This is not controversial. What may be controversial is whether or not spatial intelligence leads to success in STEM, though there are a number of studies that show a strong correlation.

Men and women have approximately average general intelligence (with men tending to be slightly higher) but the distributions are not the same (see link below to a graph). This difference makes a huge difference among outliers when looking at differences in standard deviations. There more dumb men than dumb women. There are more smart men than smart women. A greater number of women's IQs are within one standard deviation of average than for men. In other words, highly intelligent women (among women) are even more of an outlier than highly intelligent men. (among men) due to paucity of numbers. These aren't huge amounts of people like you allege, but a relatively small part of the population. The reason I bring this up is that you have a very limited pool of people to recruit from because relatively few people in our population have the potential to complete the educational requirements for employment in the tech industry (for example someone on the left side of the bell curve can not comprehend differential equations and will never graduate with a BS in engineering). This makes it more difficult to reach parity in certain fields because the talent pool is smaller. This leads to a problem for HR staff when trying to meet diversity goals.

https://qph.ec.quoracdn.net/main-qimg-16b03344e557c02d559cc5fac9724be3

I would allege that I understand more about the concepts of averages and outliers than you do, but HR is not my field of expertise. I'm an electrical engineer, I can certainly apply concepts I learned in modeling analysis and uncertainty (basically statistical analysis for engineers) to read a graph.





I am a mathematician with a minor in Economics and Statistic. I was also a programmer. I also work in management and hiring. So yes, I understand the math, the analysis and how you are misinterpreting it. I also understand HR and "diversity goals", we have none where I work and we have a plethora of female programmers.

You should read up on the the law of diminishing returns when it comes to IQ. You may be suffering from that, or from your own admission most the people that suffer from that are men.

You should also read about the research done by Google on hiring programmers from state schools vs. Ivy league schools.

It's good to know I am an "outlier" since my spacial reasoning scored off the charts. But I suspect I just liked to play with puzzles instead of dolls as a child and I played football instead of cheered.

Nurture vs. nature. The study can not correct for that.

Oh, and the education system is a culling system... I don't care if you got a perfect SAT, can you program. I have a ton of drop outs programming because they can learn it from a video or a book, in the comfort of their home and their computer. Take the human interaction of terrible teachers and the calculus/history requirement out of the equation and we would have tons of good programmers, men and women. You don't need a BS in engineering to program. Maybe to architect a system but not to program.

Anonymous
Ten pages and very little discussion on the Left leaning managers at Google. Let's focus on the gender issue, geez!
Anonymous
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:Wage gap is a myth (agree)
Diversity for diversities sake is a joke should hire the best (agree)
Women are different than men and are better at certain things (agree)

Anyone not agree with those 3?


I disagree with all 3.

Wage gap is real

Diversity "for diversity sake" is not a joke, we need different viewpoints depending on the job. I am not going to hire a white dude from Vermont who graduated from an Ivy league school to market products to black customers in Chicago, even if his GPA and class rank is higher than the black chick from Chicago who graduated from a Chicago state school.

NO women are not "better at certain things" ... some women are better at certain thing, some women are not, some men are better at certain things, some men are not. I don't think every man would make a better Army soldier than every woman. We need to look at everybody as an individual regardless of their gender.


Outliers don't make the rule. According to certain studies, men on average have one standard deviation higher spatial intelligence quotient than women. This domain is one of the few where clear sex differences in cognition appear (likewise the brain structure associated with this type of intelligence, the parietal lobe, differs between male and female brains). However, in some studies, once time constraints were removed, women did as well as men. It has also been found that spatial ability correlates with verbal ability in women but not in men, suggesting that women may use different strategies for spatial visualization tasks than men do. Spatial intelligence is often a requirement to make it through engineering courses, as one needs to flip the orientation of objects in ones head to visualize designs, and understand a summation of forces at moment in basic engineering classes like engineering statics.



You clearly do not understand averages or outliers or hiring practices.

It does not matter if one study showed that the men in that study had a higher score in spatial intelligence (spacial relations is what is actually measured) you would need to do a longitudinal study and you would have to correct for nurture.

It also does not mean men are better than women it just means more men score higher, but a huge amount of women also score high.


It's not one study, this is one of the few areas there there are non-trivial differences in intelligence between men and women (there are many potential causes for this, but no consensus). This is not controversial. What may be controversial is whether or not spatial intelligence leads to success in STEM, though there are a number of studies that show a strong correlation.

Men and women have approximately average general intelligence (with men tending to be slightly higher) but the distributions are not the same (see link below to a graph). This difference makes a huge difference among outliers when looking at differences in standard deviations. There more dumb men than dumb women. There are more smart men than smart women. A greater number of women's IQs are within one standard deviation of average than for men. In other words, highly intelligent women (among women) are even more of an outlier than highly intelligent men. (among men) due to paucity of numbers. These aren't huge amounts of people like you allege, but a relatively small part of the population. The reason I bring this up is that you have a very limited pool of people to recruit from because relatively few people in our population have the potential to complete the educational requirements for employment in the tech industry (for example someone on the left side of the bell curve can not comprehend differential equations and will never graduate with a BS in engineering). This makes it more difficult to reach parity in certain fields because the talent pool is smaller. This leads to a problem for HR staff when trying to meet diversity goals.

https://qph.ec.quoracdn.net/main-qimg-16b03344e557c02d559cc5fac9724be3

I would allege that I understand more about the concepts of averages and outliers than you do, but HR is not my field of expertise. I'm an electrical engineer, I can certainly apply concepts I learned in modeling analysis and uncertainty (basically statistical analysis for engineers) to read a graph.





I am a mathematician with a minor in Economics and Statistic. I was also a programmer. I also work in management and hiring. So yes, I understand the math, the analysis and how you are misinterpreting it. I also understand HR and "diversity goals", we have none where I work and we have a plethora of female programmers.

You should read up on the the law of diminishing returns when it comes to IQ. You may be suffering from that, or from your own admission most the people that suffer from that are men.

You should also read about the research done by Google on hiring programmers from state schools vs. Ivy league schools.

It's good to know I am an "outlier" since my spacial reasoning scored off the charts. But I suspect I just liked to play with puzzles instead of dolls as a child and I played football instead of cheered.

Nurture vs. nature. The study can not correct for that.

Oh, and the education system is a culling system... I don't care if you got a perfect SAT, can you program. I have a ton of drop outs programming because they can learn it from a video or a book, in the comfort of their home and their computer. Take the human interaction of terrible teachers and the calculus/history requirement out of the equation and we would have tons of good programmers, men and women. You don't need a BS in engineering to program. Maybe to architect a system but not to program.



I certainly agree that you do not need a degree to program. Certainly when I was in school most of the "good" programmers did it for fun prior to going to college, and more than a few dropped out during the dotcom era. Google is doing things that are more than just enterprise programming. The more interesting things, which is much of what google is more involved in, are algorithms behind their products in the areas of search, AI and the like.

Oh I agree too when it comes to IQ and diminishing returns, but would appreciate an explanation of how you are looking at the datasets differently than me.
Anonymous
I think the person who titled this post misrepresents the GoogleGuys screed. Here is a portion reproduced below where he discusses what things can be done to help achieve parity without discrimination.

Below I’ll go over some of the differences in distribution of traits between men and women that I outlined in the previous section and suggest ways to address them to increase women’s representation in tech and without resorting to discrimination. Google is already making strides in many of these areas, but I think it’s still instructive to list them:

Women on average show a higher interest in people and men in things
We can make software engineering more people-oriented with pair programming and more collaboration. Unfortunately, there may be limits to how people-oriented certain roles and Google can be and we shouldn’t deceive ourselves or students into thinking otherwise (some of our programs to get female students into coding might be doing this).

Women on average are more cooperative
Allow those exhibiting cooperative behavior to thrive. Recent updates to Perf may be doing this to an extent, but maybe there’s more we can do. This doesn’t mean that we should remove all competitiveness from Google. Competitiveness and self reliance can be valuable traits and we shouldn’t necessarily disadvantage those that have them, like what’s been done in education. Women on average are more prone to anxiety. Make tech and leadership less stressful. Google already partly does this with its many stress reduction courses and benefits.

Women on average look for more work-life balance while men have a higher drive for status on average

Unfortunately, as long as tech and leadership remain high status, lucrative careers, men may disproportionately want to be in them. Allowing and truly endorsing (as part of our culture) part time work though can keep more women in tech.

The male gender role is currently inflexible

Feminism has made great progress in freeing women from the female gender role, but men are still very much tied to the male gender role. If we, as a society, allow men to be more “feminine,” then the gender gap will shrink, although probably because men will leave tech and leadership for traditionally feminine roles.
Anonymous
Anonymous wrote:I think the person who titled this post misrepresents the GoogleGuys screed. Here is a portion reproduced below where he discusses what things can be done to help achieve parity without discrimination.

Below I’ll go over some of the differences in distribution of traits between men and women that I outlined in the previous section and suggest ways to address them to increase women’s representation in tech and without resorting to discrimination. Google is already making strides in many of these areas, but I think it’s still instructive to list them:

Women on average show a higher interest in people and men in things
We can make software engineering more people-oriented with pair programming and more collaboration. Unfortunately, there may be limits to how people-oriented certain roles and Google can be and we shouldn’t deceive ourselves or students into thinking otherwise (some of our programs to get female students into coding might be doing this).

Women on average are more cooperative
Allow those exhibiting cooperative behavior to thrive. Recent updates to Perf may be doing this to an extent, but maybe there’s more we can do. This doesn’t mean that we should remove all competitiveness from Google. Competitiveness and self reliance can be valuable traits and we shouldn’t necessarily disadvantage those that have them, like what’s been done in education. Women on average are more prone to anxiety. Make tech and leadership less stressful. Google already partly does this with its many stress reduction courses and benefits.

Women on average look for more work-life balance while men have a higher drive for status on average

Unfortunately, as long as tech and leadership remain high status, lucrative careers, men may disproportionately want to be in them. Allowing and truly endorsing (as part of our culture) part time work though can keep more women in tech.

The male gender role is currently inflexible

Feminism has made great progress in freeing women from the female gender role, but men are still very much tied to the male gender role. If we, as a society, allow men to be more “feminine,” then the gender gap will shrink, although probably because men will leave tech and leadership for traditionally feminine roles.



There are many false assumptions here. That's the problem PP. These aren't solutions but rather what men think are the problems with women.
Anonymous
Anonymous wrote:
Anonymous wrote:I think the person who titled this post misrepresents the GoogleGuys screed. Here is a portion reproduced below where he discusses what things can be done to help achieve parity without discrimination.

Below I’ll go over some of the differences in distribution of traits between men and women that I outlined in the previous section and suggest ways to address them to increase women’s representation in tech and without resorting to discrimination. Google is already making strides in many of these areas, but I think it’s still instructive to list them:

Women on average show a higher interest in people and men in things
We can make software engineering more people-oriented with pair programming and more collaboration. Unfortunately, there may be limits to how people-oriented certain roles and Google can be and we shouldn’t deceive ourselves or students into thinking otherwise (some of our programs to get female students into coding might be doing this).

Women on average are more cooperative
Allow those exhibiting cooperative behavior to thrive. Recent updates to Perf may be doing this to an extent, but maybe there’s more we can do. This doesn’t mean that we should remove all competitiveness from Google. Competitiveness and self reliance can be valuable traits and we shouldn’t necessarily disadvantage those that have them, like what’s been done in education. Women on average are more prone to anxiety. Make tech and leadership less stressful. Google already partly does this with its many stress reduction courses and benefits.

Women on average look for more work-life balance while men have a higher drive for status on average

Unfortunately, as long as tech and leadership remain high status, lucrative careers, men may disproportionately want to be in them. Allowing and truly endorsing (as part of our culture) part time work though can keep more women in tech.

The male gender role is currently inflexible

Feminism has made great progress in freeing women from the female gender role, but men are still very much tied to the male gender role. If we, as a society, allow men to be more “feminine,” then the gender gap will shrink, although probably because men will leave tech and leadership for traditionally feminine roles.



There are many false assumptions here. That's the problem PP. These aren't solutions but rather what men think are the problems with women.


Women don't seek more work-life balance than men? Women don't take more responsibility for child and eldercare? Its not like female MDs don't work fewer hours than men, or are less likely to go into surgical specialties or anything.

Men aren't judged for status? (Of course women don't prefer to marry up than marry down!) Its not like there's been an uptick in assorative mating patterns or anything!
'
Women's gender roles haven't changed? Why of course not, its the same as 100 years ago! Women aren't allowed to work outside of the home! In fact, men have even more flexibility than women in the workplace when it comes to expectations of child and eldercare!

Women are highly independent and are socialized to prefer solo work to group work. Women certainly are less subject to social pressures than men! After all there's no mean girls in the office!

False assumptions?
Anonymous
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:Wage gap is a myth (agree)
Diversity for diversities sake is a joke should hire the best (agree)
Women are different than men and are better at certain things (agree)

Anyone not agree with those 3?


I disagree with all 3.

Wage gap is real

Diversity "for diversity sake" is not a joke, we need different viewpoints depending on the job. I am not going to hire a white dude from Vermont who graduated from an Ivy league school to market products to black customers in Chicago, even if his GPA and class rank is higher than the black chick from Chicago who graduated from a Chicago state school.

NO women are not "better at certain things" ... some women are better at certain thing, some women are not, some men are better at certain things, some men are not. I don't think every man would make a better Army soldier than every woman. We need to look at everybody as an individual regardless of their gender.


Outliers don't make the rule. According to certain studies, men on average have one standard deviation higher spatial intelligence quotient than women. This domain is one of the few where clear sex differences in cognition appear (likewise the brain structure associated with this type of intelligence, the parietal lobe, differs between male and female brains). However, in some studies, once time constraints were removed, women did as well as men. It has also been found that spatial ability correlates with verbal ability in women but not in men, suggesting that women may use different strategies for spatial visualization tasks than men do. Spatial intelligence is often a requirement to make it through engineering courses, as one needs to flip the orientation of objects in ones head to visualize designs, and understand a summation of forces at moment in basic engineering classes like engineering statics.



You clearly do not understand averages or outliers or hiring practices.

It does not matter if one study showed that the men in that study had a higher score in spatial intelligence (spacial relations is what is actually measured) you would need to do a longitudinal study and you would have to correct for nurture.

It also does not mean men are better than women it just means more men score higher, but a huge amount of women also score high.


It's not one study, this is one of the few areas there there are non-trivial differences in intelligence between men and women (there are many potential causes for this, but no consensus). This is not controversial. What may be controversial is whether or not spatial intelligence leads to success in STEM, though there are a number of studies that show a strong correlation.

Men and women have approximately average general intelligence (with men tending to be slightly higher) but the distributions are not the same (see link below to a graph). This difference makes a huge difference among outliers when looking at differences in standard deviations. There more dumb men than dumb women. There are more smart men than smart women. A greater number of women's IQs are within one standard deviation of average than for men. In other words, highly intelligent women (among women) are even more of an outlier than highly intelligent men. (among men) due to paucity of numbers. These aren't huge amounts of people like you allege, but a relatively small part of the population. The reason I bring this up is that you have a very limited pool of people to recruit from because relatively few people in our population have the potential to complete the educational requirements for employment in the tech industry (for example someone on the left side of the bell curve can not comprehend differential equations and will never graduate with a BS in engineering). This makes it more difficult to reach parity in certain fields because the talent pool is smaller. This leads to a problem for HR staff when trying to meet diversity goals.

https://qph.ec.quoracdn.net/main-qimg-16b03344e557c02d559cc5fac9724be3

I would allege that I understand more about the concepts of averages and outliers than you do, but HR is not my field of expertise. I'm an electrical engineer, I can certainly apply concepts I learned in modeling analysis and uncertainty (basically statistical analysis for engineers) to read a graph.





I am a mathematician with a minor in Economics and Statistic. I was also a programmer. I also work in management and hiring. So yes, I understand the math, the analysis and how you are misinterpreting it. I also understand HR and "diversity goals", we have none where I work and we have a plethora of female programmers.

You should read up on the the law of diminishing returns when it comes to IQ. You may be suffering from that, or from your own admission most the people that suffer from that are men.

You should also read about the research done by Google on hiring programmers from state schools vs. Ivy league schools.

It's good to know I am an "outlier" since my spacial reasoning scored off the charts. But I suspect I just liked to play with puzzles instead of dolls as a child and I played football instead of cheered.

Nurture vs. nature. The study can not correct for that.

Oh, and the education system is a culling system... I don't care if you got a perfect SAT, can you program. I have a ton of drop outs programming because they can learn it from a video or a book, in the comfort of their home and their computer. Take the human interaction of terrible teachers and the calculus/history requirement out of the equation and we would have tons of good programmers, men and women. You don't need a BS in engineering to program. Maybe to architect a system but not to program.



I certainly agree that you do not need a degree to program. Certainly when I was in school most of the "good" programmers did it for fun prior to going to college, and more than a few dropped out during the dotcom era. Google is doing things that are more than just enterprise programming. The more interesting things, which is much of what google is more involved in, are algorithms behind their products in the areas of search, AI and the like.

Oh I agree too when it comes to IQ and diminishing returns, but would appreciate an explanation of how you are looking at the datasets differently than me.


You are looking at one data point and it is a data point that has been proven to not be correlated with competency at work. You have to look at things as a system, how does the system work. What competencies are needed to make the system work and what skills are needed. Those skills and competency are not something that can be measured by 1 data point.

Anonymous
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:I think the person who titled this post misrepresents the GoogleGuys screed. Here is a portion reproduced below where he discusses what things can be done to help achieve parity without discrimination.

Below I’ll go over some of the differences in distribution of traits between men and women that I outlined in the previous section and suggest ways to address them to increase women’s representation in tech and without resorting to discrimination. Google is already making strides in many of these areas, but I think it’s still instructive to list them:

Women on average show a higher interest in people and men in things
We can make software engineering more people-oriented with pair programming and more collaboration. Unfortunately, there may be limits to how people-oriented certain roles and Google can be and we shouldn’t deceive ourselves or students into thinking otherwise (some of our programs to get female students into coding might be doing this).

Women on average are more cooperative
Allow those exhibiting cooperative behavior to thrive. Recent updates to Perf may be doing this to an extent, but maybe there’s more we can do. This doesn’t mean that we should remove all competitiveness from Google. Competitiveness and self reliance can be valuable traits and we shouldn’t necessarily disadvantage those that have them, like what’s been done in education. Women on average are more prone to anxiety. Make tech and leadership less stressful. Google already partly does this with its many stress reduction courses and benefits.

Women on average look for more work-life balance while men have a higher drive for status on average

Unfortunately, as long as tech and leadership remain high status, lucrative careers, men may disproportionately want to be in them. Allowing and truly endorsing (as part of our culture) part time work though can keep more women in tech.

The male gender role is currently inflexible

Feminism has made great progress in freeing women from the female gender role, but men are still very much tied to the male gender role. If we, as a society, allow men to be more “feminine,” then the gender gap will shrink, although probably because men will leave tech and leadership for traditionally feminine roles.



There are many false assumptions here. That's the problem PP. These aren't solutions but rather what men think are the problems with women.


Women don't seek more work-life balance than men? Women don't take more responsibility for child and eldercare? Its not like female MDs don't work fewer hours than men, or are less likely to go into surgical specialties or anything.

Men aren't judged for status? (Of course women don't prefer to marry up than marry down!) Its not like there's been an uptick in assorative mating patterns or anything!
'
Women's gender roles haven't changed? Why of course not, its the same as 100 years ago! Women aren't allowed to work outside of the home! In fact, men have even more flexibility than women in the workplace when it comes to expectations of child and eldercare!

Women are highly independent and are socialized to prefer solo work to group work. Women certainly are less subject to social pressures than men! After all there's no mean girls in the office!

False assumptions?


Here's a false assumption--you can have cooperation OR competition. Or you can have work-life balance OR status. Here's another one--leadership is stressful.

I also enjoy the statement to the effect that competitive people are disadvantaged in education. Made by the Harvard PhD.

His supporters say Google proves his point--you can't talk about certain topics. I would say he's proving Google's point--they need to make an affirmative effort to diversify their workforce. Sending this man to diversity training once or twice a year isn't going to help him overcome the biases he's built up over a lifetime. Daily exposure to a variety of different types of people is what helps people start to think about others as individuals and not "averages," so that over time a person might start to question his assumptions, broaden his perspective, and hopefully start to see commonalities as well as differences.
Anonymous
Anonymous wrote:
Anonymous wrote:I think the person who titled this post misrepresents the GoogleGuys screed. Here is a portion reproduced below where he discusses what things can be done to help achieve parity without discrimination.

Below I’ll go over some of the differences in distribution of traits between men and women that I outlined in the previous section and suggest ways to address them to increase women’s representation in tech and without resorting to discrimination. Google is already making strides in many of these areas, but I think it’s still instructive to list them:

Women on average show a higher interest in people and men in things
We can make software engineering more people-oriented with pair programming and more collaboration. Unfortunately, there may be limits to how people-oriented certain roles and Google can be and we shouldn’t deceive ourselves or students into thinking otherwise (some of our programs to get female students into coding might be doing this).

Women on average are more cooperative
Allow those exhibiting cooperative behavior to thrive. Recent updates to Perf may be doing this to an extent, but maybe there’s more we can do. This doesn’t mean that we should remove all competitiveness from Google. Competitiveness and self reliance can be valuable traits and we shouldn’t necessarily disadvantage those that have them, like what’s been done in education. Women on average are more prone to anxiety. Make tech and leadership less stressful. Google already partly does this with its many stress reduction courses and benefits.

Women on average look for more work-life balance while men have a higher drive for status on average

Unfortunately, as long as tech and leadership remain high status, lucrative careers, men may disproportionately want to be in them. Allowing and truly endorsing (as part of our culture) part time work though can keep more women in tech.

The male gender role is currently inflexible

Feminism has made great progress in freeing women from the female gender role, but men are still very much tied to the male gender role. If we, as a society, allow men to be more “feminine,” then the gender gap will shrink, although probably because men will leave tech and leadership for traditionally feminine roles.



There are many false assumptions here. That's the problem PP. These aren't solutions but rather what men think are the problems with women.


It's called "unconscious bias".. we act on the world based on what we believe not what we see (or hear). "Women on average" means you only act on what you believe to be true, not what is true for your specific employee. You unconsciously discriminate against some women based on your bias on how you see the world.

Orchestras use to have no women in them or as little as <5%, because women "play differently" ... it sounds different when a woman plays. So they started blind auditions in the 70's and 80's and all of a sudden women sound the same.
Anonymous
Anonymous wrote:
Anonymous wrote:I think the person who titled this post misrepresents the GoogleGuys screed. Here is a portion reproduced below where he discusses what things can be done to help achieve parity without discrimination.
Below I’ll go over some of the differences in distribution of traits between men and women that I outlined in the previous section and suggest ways to address them to increase women’s representation in tech and without resorting to discrimination. Google is already making strides in many of these areas, but I think it’s still instructive to list them:

Women on average show a higher interest in people and men in things
We can make software engineering more people-oriented with pair programming and more collaboration. Unfortunately, there may be limits to how people-oriented certain roles and Google can be and we shouldn’t deceive ourselves or students into thinking otherwise (some of our programs to get female students into coding might be doing this).

Women on average are more cooperative
Allow those exhibiting cooperative behavior to thrive. Recent updates to Perf may be doing this to an extent, but maybe there’s more we can do. This doesn’t mean that we should remove all competitiveness from Google. Competitiveness and self reliance can be valuable traits and we shouldn’t necessarily disadvantage those that have them, like what’s been done in education. Women on average are more prone to anxiety. Make tech and leadership less stressful. Google already partly does this with its many stress reduction courses and benefits.

Women on average look for more work-life balance while men have a higher drive for status on average

Unfortunately, as long as tech and leadership remain high status, lucrative careers, men may disproportionately want to be in them. Allowing and truly endorsing (as part of our culture) part time work though can keep more women in tech.

The male gender role is currently inflexible

Feminism has made great progress in freeing women from the female gender role, but men are still very much tied to the male gender role. If we, as a society, allow men to be more “feminine,” then the gender gap will shrink, although probably because men will leave tech and leadership for traditionally feminine roles.

There are many false assumptions here. That's the problem PP. These aren't solutions but rather what men think are the problems with women.

This. He is making broad stereotypes and cherry-picking conclusions.

To pick one example: It matters why women are more prone to anxiety. The reasons could be 1) hostility in workplaces makes women more anxious (conclusion, stop treating them as if they are less good), 2) women feel more comfortable seeking treatment for mental health issues and so get diagnosed with anxiety more often (conclusion, maybe women are actually mentally healthier than men because they get treatment for their anxiety instead of taking it out on coworkers and subordinates), 3) women are just more anxious biologically (conclusion, anything from don't hire them to make workplaces less stressful). He pays lip service to the latter, but couches it in language about making sure Google doesn't become less competitive. He seems to think the only way a workplace can be competitive is to have it be stressful. As a former coxswain who coxed men's and women's boat, I beg to disagree. Women can be brutally competitive, but they respond to really different forms of encouragement. In very general terms, the men's teams preferred to be told they weren't good enough/need to work harder, and women worked harder and became more competitive when they were told they were already doing well. It was amazing to me to see the difference so starkly...and the women were anything but soft or anxious.

The same kind of breakdown could be done to all his points, but it doesn't really matter. These ideas aren't legitimately provocative or new. They've been bandied about for decades to explain the lack of women and other URMs in STEM. And none of these screeds seems willing to grapple with the notion that all of this is just speculation until you get rid of the actual biases in the workplace. If they are supposedly such great scientists and engineers, why do they fail to understand that the easiest way to test a hypothesis is to get rid of the confounding factors? So let's first get rid of institutionalized sexism, and then talk about inherent capabilities and interests.

Ultimately, the lack of objective reasoning in these kinds of "manifestos" is why this is not about shutting down diverse viewpoints but rather about shutting down thinly-veiled bigotry. It's not provocative to suggest Obama might have been born in Kenya, it's deliberately undermining. Similarly, in 2017 it's not provocative to suggest that women are just not that interested or capable of succeeding in tech, it's undermining and also a way to disregard the ongoing bias against them.
Anonymous
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:I think the person who titled this post misrepresents the GoogleGuys screed. Here is a portion reproduced below where he discusses what things can be done to help achieve parity without discrimination.

Below I’ll go over some of the differences in distribution of traits between men and women that I outlined in the previous section and suggest ways to address them to increase women’s representation in tech and without resorting to discrimination. Google is already making strides in many of these areas, but I think it’s still instructive to list them:

Women on average show a higher interest in people and men in things
We can make software engineering more people-oriented with pair programming and more collaboration. Unfortunately, there may be limits to how people-oriented certain roles and Google can be and we shouldn’t deceive ourselves or students into thinking otherwise (some of our programs to get female students into coding might be doing this).

Women on average are more cooperative
Allow those exhibiting cooperative behavior to thrive. Recent updates to Perf may be doing this to an extent, but maybe there’s more we can do. This doesn’t mean that we should remove all competitiveness from Google. Competitiveness and self reliance can be valuable traits and we shouldn’t necessarily disadvantage those that have them, like what’s been done in education. Women on average are more prone to anxiety. Make tech and leadership less stressful. Google already partly does this with its many stress reduction courses and benefits.

Women on average look for more work-life balance while men have a higher drive for status on average

Unfortunately, as long as tech and leadership remain high status, lucrative careers, men may disproportionately want to be in them. Allowing and truly endorsing (as part of our culture) part time work though can keep more women in tech.

The male gender role is currently inflexible

Feminism has made great progress in freeing women from the female gender role, but men are still very much tied to the male gender role. If we, as a society, allow men to be more “feminine,” then the gender gap will shrink, although probably because men will leave tech and leadership for traditionally feminine roles.



There are many false assumptions here. That's the problem PP. These aren't solutions but rather what men think are the problems with women.


It's called "unconscious bias".. we act on the world based on what we believe not what we see (or hear). "Women on average" means you only act on what you believe to be true, not what is true for your specific employee. You unconsciously discriminate against some women based on your bias on how you see the world.

Orchestras use to have no women in them or as little as <5%, because women "play differently" ... it sounds different when a woman plays. So they started blind auditions in the 70's and 80's and all of a sudden women sound the same.


those old studies are irrelevant. everything that could have been squeezed out of discrimination has been squeezed out. women are now getting significantly more college degrees and even phds.
Anonymous
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:Wage gap is a myth (agree)
Diversity for diversities sake is a joke should hire the best (agree)
Women are different than men and are better at certain things (agree)

Anyone not agree with those 3?


I disagree with all 3.

Wage gap is real

Diversity "for diversity sake" is not a joke, we need different viewpoints depending on the job. I am not going to hire a white dude from Vermont who graduated from an Ivy league school to market products to black customers in Chicago, even if his GPA and class rank is higher than the black chick from Chicago who graduated from a Chicago state school.

NO women are not "better at certain things" ... some women are better at certain thing, some women are not, some men are better at certain things, some men are not. I don't think every man would make a better Army soldier than every woman. We need to look at everybody as an individual regardless of their gender.


Outliers don't make the rule. According to certain studies, men on average have one standard deviation higher spatial intelligence quotient than women. This domain is one of the few where clear sex differences in cognition appear (likewise the brain structure associated with this type of intelligence, the parietal lobe, differs between male and female brains). However, in some studies, once time constraints were removed, women did as well as men. It has also been found that spatial ability correlates with verbal ability in women but not in men, suggesting that women may use different strategies for spatial visualization tasks than men do. Spatial intelligence is often a requirement to make it through engineering courses, as one needs to flip the orientation of objects in ones head to visualize designs, and understand a summation of forces at moment in basic engineering classes like engineering statics.



You clearly do not understand averages or outliers or hiring practices.

It does not matter if one study showed that the men in that study had a higher score in spatial intelligence (spacial relations is what is actually measured) you would need to do a longitudinal study and you would have to correct for nurture.

It also does not mean men are better than women it just means more men score higher, but a huge amount of women also score high.


It's not one study, this is one of the few areas there there are non-trivial differences in intelligence between men and women (there are many potential causes for this, but no consensus). This is not controversial. What may be controversial is whether or not spatial intelligence leads to success in STEM, though there are a number of studies that show a strong correlation.

Men and women have approximately average general intelligence (with men tending to be slightly higher) but the distributions are not the same (see link below to a graph). This difference makes a huge difference among outliers when looking at differences in standard deviations. There more dumb men than dumb women. There are more smart men than smart women. A greater number of women's IQs are within one standard deviation of average than for men. In other words, highly intelligent women (among women) are even more of an outlier than highly intelligent men. (among men) due to paucity of numbers. These aren't huge amounts of people like you allege, but a relatively small part of the population. The reason I bring this up is that you have a very limited pool of people to recruit from because relatively few people in our population have the potential to complete the educational requirements for employment in the tech industry (for example someone on the left side of the bell curve can not comprehend differential equations and will never graduate with a BS in engineering). This makes it more difficult to reach parity in certain fields because the talent pool is smaller. This leads to a problem for HR staff when trying to meet diversity goals.

https://qph.ec.quoracdn.net/main-qimg-16b03344e557c02d559cc5fac9724be3

I would allege that I understand more about the concepts of averages and outliers than you do, but HR is not my field of expertise. I'm an electrical engineer, I can certainly apply concepts I learned in modeling analysis and uncertainty (basically statistical analysis for engineers) to read a graph.





I am a mathematician with a minor in Economics and Statistic. I was also a programmer. I also work in management and hiring. So yes, I understand the math, the analysis and how you are misinterpreting it. I also understand HR and "diversity goals", we have none where I work and we have a plethora of female programmers.

You should read up on the the law of diminishing returns when it comes to IQ. You may be suffering from that, or from your own admission most the people that suffer from that are men.

You should also read about the research done by Google on hiring programmers from state schools vs. Ivy league schools.

It's good to know I am an "outlier" since my spacial reasoning scored off the charts. But I suspect I just liked to play with puzzles instead of dolls as a child and I played football instead of cheered.

Nurture vs. nature. The study can not correct for that.

Oh, and the education system is a culling system... I don't care if you got a perfect SAT, can you program. I have a ton of drop outs programming because they can learn it from a video or a book, in the comfort of their home and their computer. Take the human interaction of terrible teachers and the calculus/history requirement out of the equation and we would have tons of good programmers, men and women. You don't need a BS in engineering to program. Maybe to architect a system but not to program.



for a mathematician, you sound quite dumb. is that stereotyping?
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