Earlier quoted context omitted.
Thank you so much! That is a vastly more informative article. It seems like it's not so much the NYT is opposed to the contract's specifics -- they're opposed to having a contract at all because the union is new. The NYT has been stringing the union along without ever actually signing anything, so now the union has to strike to get the NYT to take them seriously. Key parts: > The Tech Guild won its unionization vote…
>>According to the study, Black tech workers at the newspaper make 26 percent less than white workers >>women, who make up over 40 percent of the Tech Guild, earn 12 percent less on average than men claims like these always irk me, like did you just compare averages by race/gender? Whoever made this claim, did they control for other factors, like job title/level or productivity? its like the famous "gender pay gap" c…
Probably not, the striking union is the one that contains all the data analysts at the NYTimes, so they have some experience with sociology data.
> Whoever made this claim, did they control for other factors, like job title/level or productivity?
As explained in the article, the data analysts union mad this claim, it's even explicitly linked!
> Turns out "gender pay gap" magically disappears as soon as you start controlling for relevant variables like hours worked, job seniority, experience, etc
No, that's just something you read on a blog written by a guy who would go on to write that women shouldn't get wage equality because they would have to work more dangerous jobs and thus die more, because apparently saving the lives of man by making those jobs safer is impossible.
Anyway, here's a big stats heavy quote about how there is solid evidence for a pay gap, from the stats nerds at the census bureau (I link only the executive summary https://www.dol.gov/sites/dolgov/files/WB/media/An%20Evaluat..., link to the full thing can be found in the summary)
"""In both decomposition models, the portion of the gender wage gap that could not be explained by differences in men’s and women’s work histories, work hours, industry and occupation distribution, and job characteristics was between 68 and 70 percent, yielding an unexplained wage gap of 14 to 15 percent. That is, of an estimated wage gap of 21 percent, statistical models explain between 6 and 7 percentage points of the gap, leaving 14 to 15 percentage points unexplained, similar to other major studies on this topic.
Differences in the sorting of men and women between occupations do not fully explain the gender wage gap; men and women are paid differently within occupations as well. The size of the gender wage gap varies significantly by occupation even as men earn more than women in nearly all occupations. While wages are at parity in some occupations, gaps are as large as 45 percent in others. Across the 316 occupations in this study, occupations in finance and sales had the largest gender wage gaps""