Meanwhile normal people deal with more practical problems like yours.
It's ridiculous how many times I see this dropped out of nowhere in this thread without any sources or proof.
This is a very contentious statement on a two sided issue.
It is similar to proclaiming that minimum wage increases will always lower job opportunities without any proof.
At the current rate of $X / hour, there are a number of economically viable jobs (jobs where the employer considers it valuable to hire someone instead of doing the job themselves or doing without, because they are worth at least $Y / hour to the employer, with Y > X).
At an increased rate of $Z / hour, Z > X, some of those jobs are no longer economically viable - they only generate $Y / hour, with Z > Y > X; while they were viable at $X / hour, they are no longer viable at $Z / hour so they disappear. For an obvious example, making the minimum wage $1000 / hour would destroy the viability of most jobs.
This proof assumes, of course, that nothing else changes - the government simply mandates "the minimum wage will change from $X / hour to $Z / hour" and doesn't add other changes like "all taxes are halved" or "all employers get free Bahamas holidays". With that caveat, also known as "ceteris paribus", the proof is (as I said) obvious.
That's a funny term for merit-based.
It's nice to say "I'd prefer to be hired at Google on my merits", but few individuals from disadvantaged groups go into job seeking expecting that ideal situation to occur, and they're forced to make suboptimal tradeoffs just because they're disadvantaged.
I once left a company because of the internal culture, they were not listening to the people from other countries. I didn't agree with the culture and left telling them the reason. After me more people followed. I have also left other things for similar reasons, even when everybody were telling i was doing a mistake. I just prefer to be somewhere I am happy even if it involves less money or status.
1. http://www.uh.edu/~adkugler/Bertrand&Mullainathan.pdf This study was primarily aimed at identifying the impact of race, but incidentally showed that resumes with females names received a lower number of callbacks, in addition to the race based effect.
2. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3970474/ "Without provision of information about candidates other than their appearance, men are twice more likely to be hired for a mathematical task than women."
3. http://www.pnas.org/content/109/41/16474.abstract "Faculty participants rated the male applicant as significantly more competent and hireable than the (identical) female applicant. These participants also selected a higher starting salary and offered more career mentoring to the male applicant."
4. http://digitalcommons.ilr.cornell.edu/ilrreview/vol65/iss1/5... "the authors show that [anonymous application procedure] increased the chances of both women and individuals of non-Western origin of advancing to the interview stage."
5. http://www.nber.org/papers/w5903 Anonymization in orchestra additions (blind screening) led to women advancing out of preliminary rounds 50% more often.
I can easily dig up studies showing opposite results:
"Contrary to prevailing assumptions, men and women faculty members from all four fields preferred female applicants 2:1 over identically qualified males with matching lifestyles (single, married, divorced), with the exception of male economists, who showed no gender preference. " http://www.pnas.org/content/112/17/5360.abstract
"We found that the public servants engaged in positive (not negative) discrimination towards female and minority candidates: • Participants were 2.9% more likely to shortlist female candidates and 3.2% less likely to shortlist male applicants when they were identifiable, compared with when they were de-identified." https://pmc.gov.au/sites/default/files/publications/beta-unc...
"Teaching accreditation exams reveal grading biases favor women in male-dominated disciplines in France" http://science.sciencemag.org/content/353/6298/474
"Comparisons of oral non–gender-blind tests with written gender-blind tests for about 100,000 individuals "
"Over 2,100 public servants"
"validation studies were conducted on 873 tenure-track faculty"
I personally would like to have more women in tech, but it seems implausible that the current dearth is because of any systemic discrimination against women.
I wonder why people are claiming that this is a reason for the problem?