4 ms·

It doesn't tell you how racist/sexist the system, it tells you your demographic. There being more male construction workers doesn't make it a sexist system. T

It doesn't tell you how racist/sexist the system, it tells you your demographic. There being more male construction workers doesn't make it a sexist system. There being more female teachers doesn't make it a sexist system. There being more asian doctors doesn't make it a racist system. Let people do what they want to do, you can look at demographics but stop trying to read racist tea leaves with it.

Shared404 4y ago
Except if you know that for some hypothetical demographic A and demographic B where all applicants are equally qualified you would expect the hiring to equally reflect both demographics. If it doesn't, you have an issue. The only way to know for sure is to measure. E: To be clear, assuming equally qualified candidates, you would want expect hiring proportions to match the same A:B ratio as you get from applications.
- annyeonghada 4y ago
  >you would expect the hiring to equally reflect both demographics No, I wouldn't expect this at all as I do not expect the height distribution of basketball player to reflect the height distribution of the general population. As I do not expect the personality trait distribution of pop stars to be the same of programmers, and again I do not expect the latter to be similar to the general population. Personal inclination, innate intelligence, talent, conscientiousness, and of course demographics, parenting, generational wealth all play a role.
  - kube-system 4y ago
    Height is an inherent advantage to the game of basketball. It is also not a class of people protected by law. Skin color is not an advantage when programming. It is also a characteristic by which it is illegal to hire a programmer.
  - Shared404 4y ago
    Thus the "assuming equally qualified candidates" in my original post. That can be measured (imperfectly, but well enough), by filtering only for qualified candidates and then comparing the rate at which both A and B are hired and the rate at which they appear in the filtered list. E: This of course requires the filtering to be done _only_ with knowledge of a candidates skills/accomplishments, and association with demographics (including name, location, etc.) to be done only after the sorting.
toast0 4y ago
If you collect demographics of employees, it tells one story. If you also collect demographics of applicants, it may tell a different story. If your employee demographics look skewed, but they're consistent with applicant demographics, you have an easy out when accused of ism. Of course, if you collect the information, you might also use it for ism purposes. Or you might just lose or discourage applications from non-favored people. It's hard to show. (It also doesn't help that the federal categories feel poorly chosen and ill-defined)
whynaut 4y ago
It's like you only read the first sentence of the parent comment. The only reasonable response is to point you right back to it.
tremon 4y ago
There being more male construction workers doesn't make it a sexist system. Are you sure? There being more male programmers is widely used as evidence that it's a sexist system.
- MrOwnPut 4y ago
  Yes and that's a fallacy. If females don't want to go into programming then don't make them. There are really good female programmers, but males tend to be more frequent. We all have different traits that make us good at different things, that's the beautiful thing about humans.
  - jjeaff 4y ago
    Sure, 50/50 is probably not where a lot of professions should be. But it's pretty unrealistic to assume the percentage we are at is exactly where it should be. Especially considering how many women in professions like programming have so many stories about how difficult it is to get in and stay in the field.
    - MrOwnPut 4y ago
      I'm sure there's a lot of anecdotes from male programmers about how difficult it is to get in and stay in the field, it's difficult. But if there is something to address, address the pain points specifically and directly. Don't try to guess a "correct" ratio and work backwards with affirmative action (denying one race to boost up another). For all you know the current ratio is the realistic ratio and where we should be.
    - Manuel_D 4y ago
      Stories about how difficult it is to get into the field and actually having difficulty getting into the field are two very different things. 2 out of the 3 employers I've worked for had explicitly discriminatory policies favoring women. And they weren't subtle, we straight up reserved slots for women despite this being blatantly illegal. In reality, the proportion of women in STEM directly matches the proportion of women in STEM majors, which directly matches proportion of women who say they're interested in STEM.
andrepd 4y ago
Did you read the comment you're replying to or are you just pasting a cookie-cutter argument?

Shared404 4y ago

Except if you know that for some hypothetical demographic A and demographic B where all applicants are equally qualified you would expect the hiring to equally reflect both demographics. If it doesn't, you have an issue. The only way to know for sure is to measure. E: To be clear, assuming equally qualified candidates, you would want expect hiring proportions to match the same A:B ratio as you get from applications.

annyeonghada 4y ago
>you would expect the hiring to equally reflect both demographics No, I wouldn't expect this at all as I do not expect the height distribution of basketball player to reflect the height distribution of the general population. As I do not expect the personality trait distribution of pop stars to be the same of programmers, and again I do not expect the latter to be similar to the general population. Personal inclination, innate intelligence, talent, conscientiousness, and of course demographics, parenting, generational wealth all play a role.
- kube-system 4y ago
  Height is an inherent advantage to the game of basketball. It is also not a class of people protected by law. Skin color is not an advantage when programming. It is also a characteristic by which it is illegal to hire a programmer.
- Shared404 4y ago
  Thus the "assuming equally qualified candidates" in my original post. That can be measured (imperfectly, but well enough), by filtering only for qualified candidates and then comparing the rate at which both A and B are hired and the rate at which they appear in the filtered list. E: This of course requires the filtering to be done _only_ with knowledge of a candidates skills/accomplishments, and association with demographics (including name, location, etc.) to be done only after the sorting.

toast0 4y ago

If you collect demographics of employees, it tells one story. If you also collect demographics of applicants, it may tell a different story. If your employee demographics look skewed, but they're consistent with applicant demographics, you have an easy out when accused of ism. Of course, if you collect the information, you might also use it for ism purposes. Or you might just lose or discourage applications from non-favored people. It's hard to show. (It also doesn't help that the federal categories feel poorly chosen and ill-defined)

whynaut 4y ago

It's like you only read the first sentence of the parent comment. The only reasonable response is to point you right back to it.

tremon 4y ago

There being more male construction workers doesn't make it a sexist system. Are you sure? There being more male programmers is widely used as evidence that it's a sexist system.

MrOwnPut 4y ago
Yes and that's a fallacy. If females don't want to go into programming then don't make them. There are really good female programmers, but males tend to be more frequent. We all have different traits that make us good at different things, that's the beautiful thing about humans.
- jjeaff 4y ago
  Sure, 50/50 is probably not where a lot of professions should be. But it's pretty unrealistic to assume the percentage we are at is exactly where it should be. Especially considering how many women in professions like programming have so many stories about how difficult it is to get in and stay in the field.
  - MrOwnPut 4y ago
    I'm sure there's a lot of anecdotes from male programmers about how difficult it is to get in and stay in the field, it's difficult. But if there is something to address, address the pain points specifically and directly. Don't try to guess a "correct" ratio and work backwards with affirmative action (denying one race to boost up another). For all you know the current ratio is the realistic ratio and where we should be.
  - Manuel_D 4y ago
    Stories about how difficult it is to get into the field and actually having difficulty getting into the field are two very different things. 2 out of the 3 employers I've worked for had explicitly discriminatory policies favoring women. And they weren't subtle, we straight up reserved slots for women despite this being blatantly illegal. In reality, the proportion of women in STEM directly matches the proportion of women in STEM majors, which directly matches proportion of women who say they're interested in STEM.

andrepd 4y ago

Did you read the comment you're replying to or are you just pasting a cookie-cutter argument?