Quantitative measuring tells you nothing. You have no visibility of the “starting condition”, how many foreigners are not even accepted a job interview, how many apply, etc. Discrimination is not something that can be measure with a scale.
Not to talk about age, ageism is huge in tech. Old people are sometimes fired to be replaced (hello IBM). In my company we are at around 25% women, 20% on engineering. I still need to meet a person over 50 (in engineering), I think there are maybe 3-4 over 40 (on a total of 300).
Also, discrimination doesn’t mean just not getting hired, it means contractual penalties, less salary etc., which happen in some cases with women too, of course.
That said, I am not arguing that women in tech are not discriminated, of course they are. I am saying that there are multiple vector of discrimination and that we should be able to fight against the general phenomenon, without having to choose which discrimination to keep and which to fight.
I’ve had a lot more foreign male colleagues than I have female colleagues. Where are you getting you information about who’s disadvantaged?
Quantitative measuring tells you nothing. You have no visibility of the “starting condition”, how many foreigners are not even accepted a job interview, how many apply, etc. Discrimination is not something that can be measure with a scale.
Not to talk about age, ageism is huge in tech. Old people are sometimes fired to be replaced (hello IBM). In my company we are at around 25% women, 20% on engineering. I still need to meet a person over 50 (in engineering), I think there are maybe 3-4 over 40 (on a total of 300).
Also, discrimination doesn’t mean just not getting hired, it means contractual penalties, less salary etc., which happen in some cases with women too, of course.
That said, I am not arguing that women in tech are not discriminated, of course they are. I am saying that there are multiple vector of discrimination and that we should be able to fight against the general phenomenon, without having to choose which discrimination to keep and which to fight.