4 ms·
> is too offensive to say out loud Not only offensive but also very hard to prove. >Absent a solid scientific reason to believe that one gender, one race, one
by FT_intern 10y ago
> is too offensive to say out loud
Not only offensive but also very hard to prove.
>Absent a solid scientific reason to believe that one gender, one race, one country of origin, one level of income, etc. is truly better at the job than another (as opposed to better thanks to circumstance and existing systems of oppression), a non-diverse candidate pool is an arbitrary subset of a diverse candidate pool. This is both unprofitable for the industry, because you're skipping qualified candidates for no good reason, and unjust to the candidates whom you're skipping.
There are objectively less qualified under represented minorities and females in the tech industry. Just check CS major demographics, stackoverflow demographics, etc. It's an undisputed fact.
If you want to cry foul on why they are less qualified, citing unequal representation is not adequate proof of sexism or racism.
Sexism, racism and discrimination are useless concepts unless properly and concisely defined before discussion because everyone's definition is different. It is very annoying to have people classify everything as "racism" or "sexism" to lazily avoid the need to justify arguments.
- geofft 10y ago> There are objectively less qualified under represented minorities and females in the tech industry. Just check CS major demographics, stackoverflow demographics, etc. It's an undisputed fact. I'm not sure I understand this sentence. It is an undisputed fact that the proportions of sex, race, etc. in tech are not reflective of the population at large, yes. But I'm not sure how this means that certain groups are less qualified. > citing unequal representation is not adequate proof of sexism or racism Sure. But it is the simplest hypothesis; other hypotheses have a higher burden of proof. Serious, straightforward racism and sexism are within living memory; FORTRAN, for instance, is older than Brown v. Board of Education and the Civil Rights Movement. There's good reason to believe sexism and racism could cause the discrepancy we see. There is less good reason to believe an inherent biological bias; citing unequal representation is also not an adequate proof of biological differences.
- FT_intern 10y ago>I'm not sure I understand this sentence. It is an undisputed fact that the proportions of sex, race, etc. in tech are not reflective of the population at large, yes. But I'm not sure how this means that certain groups are less qualified. The question you were answering was "On average, do some races/genders make better tech workers than others?". the answer is, yes some races/genders are more qualified to work in tech than other races/genders because on average, they are more likely to spend the time to become qualified (see college and CS major demographics) and to gain CS knowledge. That is why the tech field skews toward a gender or race over others. Because some races/genders are literally more qualified for tech work than others. No company is "skipping qualified candidates" because female and underrepresented minorities have not spent the time to become qualified to work in the tech field. They are, on average, literally less qualified to work in the tech field, given their current, average CS and programming knowledge. >There is less good reason to believe an inherent biological bias; citing unequal representation is also not an adequate proof of biological differences. Denying that sexism/discrimination against minorities is the cause of unequal representation is not the same as saying that the cause is biological differences. Some easy explanations for unequal representation could be society's pressure on men to make money, Asian/White parents' pressure on kids to do well, etc. Unequal representation is not enough to prove racism/sexism against females and URMs.
- geofft 10y ago> yes some races/genders are more qualified than other races/genders because on average, they are more likely to spend the time to become qualified (see college and CS major demographics). That is why the tech field skews toward a gender or race over others. Because some races/genders are literally more qualified for tech work than others. OK, sure. But this article is about fixing the demographics at the college level: figuring out why it is that some races/genders are more likely to become CS majors, and un-skewing that - so that the number of qualified people graduating with a CS degree is no longer biased on some unrelated demographic attribute. Is it not? And is that not a desirable thing?