Google Finds It’s Underpaying Many Men as It Addresses Wage Equity
nytimes.com
nytimes.com
Let's say you have a certain (role,level,rating) tuple with 2 women and 8 men. You desire gender equality, and thus say that the average pay for women and men must be equal within a (role,level,rating) tuple, and to do this, you'll raise the salary of the less-paid gender.
The women, due to there being less of them, will have an average pay with higher variance than the average pay of the men. If the women's average pay varies down due to random variance, then the solution is not too bad for Google: pay those 2 women more. If the women's average pay varies up due to random variance, the solution is 4x more painful for Google: pay the 8 men more.
Overall, each individual person will on average benefit the same amount from this scheme. But on average, more money will be directed to men due to this scheme than will be directed to women, just due to the fact that more men exist in the company. Similarly, on average, more men will will benefit than women due to more men existing in the company.
Disclosure: I work at Google but not on anything related to this.
It seems to me that people worse at negotiating are set to win in this case...
> Our model predicts that transparency reduces the individual bargaining power of workers, leading to lower average wages. A key insight is that employers credibly refuse to pay high wages to any one worker to avoid costly renegotiations with others under transparency.
* If you set employees' salaries to how much benefit they give the company, the company's profit will be 0, which will make investors mad.
* If the worth to the company is somewhere between the average pays of the genders, this doesn't achieve equality between the genders, which is the whole goal of this, unless you're willing to decrease employees' salaries, which will make employees mad.
The current system is the minimum change necessary to achieve gender equality without lowering anyone's salary. Any other design either costs the company more, lowers people's salary, or doesn't achieve equality.
I don't see how this follows.
> If the worth to the company is somewhere between the average pays of the genders, this doesn't achieve equality between the genders, which is the whole goal of this, unless you're willing to decrease employees' salaries, which will make employees mad.
In this scenario, all employees within this tuple should theoretically be receiving the same pay. Since it's not related to the average of the group, the company would give raises to those under this figure and would withhold raises from those overpaid until inflation eats up the surplus. You'd do this on an individual basis, so gender doesn't factor in. But it would have the same outcome of equalizing pay among genders.
Yeah, it depends on how "benefit to the company" is measured. One way would be to take the company's current revenue minus equipment expenses, and say that was generated by current employees, and thus that's how much the current employees are worth, and divide that between the current employees. So that gives a profit of 0.
That ignores a lot of things though, such as value of past employees, value of investments provided by investors, and value that the current employees are producing that will only be realized by future revenue. It's hard to measure.
>the company would give raises to those under this figure and would withhold raises from those overpaid until inflation eats up the surplus
Yeah, that works, but it's not instantaneous. If you want instantaneous equality you need something else.
But in reality, hiring managers are probably setting this internal rate on what the job market is showing along with how badly they need to fill a position in their particular case.
You can assume there's a wide variance, but all that would mean is that most employees are paid basically correctly with a few outliers. If anything, that would diminish the value of the story.
Our ability to talk about difficult things in a sensible way is so often thwarted by the unwillingness to just follow the simplest explanation first.
As if humans were designed for preferentially seeking extraordinary explanations
> In response to the study, Google gave $9.7 million in additional compensation to 10,677 employees for this year. Men account for about 69 percent of the company’s work force, but they received a higher percentage of the money. The exact number of men who got raises is unclear.
I wonder why an 'algorithmic' approach to salaries is not more common.. To achieve this there must be a structured career ladder with standardised job descriptions and (most likely) a way to determine a maturity within the role itself, but then it's a case of having a base salary (often heavily influenced by where the employee is) and some multipliers. Out pops a number (or a tight range) and the employee can choose if they take it based on their valuation of their skills. No risk of gender bias and it takes away a lot of the pain of negotiating salaries felt by both management and subordinates.
Regularly reviewing the base numbers to adapt for inflation and market trends will ensure that both new and existing employees are treated fairly.
At my previous position (head of engineering at an old school sales house trying to become more engineering friendly) we had great success bringing in a structured approach to growth and a corresponding salary calculator. Unfortunately the salary numbers were reserved for management as it wasn't rolled out across the whole organisation but it inspired other, non-engineering, departments to adopt a similar pattern. My vision would be to have these figures open company-wide however I understand that in most medium-large companies this is a time-consuming process.
As someone starting a business today I want to ensure that salaries are open (definitely within the company but likely to the world) from the beginning. Employees should feel comfortable knowing that they are compensated fairly for both the work they do and in comparison to others.
If anybody is looking for some open inspiration about how this is done, check out Buffer[0] and PostHog[1] (Gitlab[2] have one too but the numbers are not open).
- [0] https://buffer.com/salary-calculator/software-engineer-ii/high
- [1] https://posthog.com/handbook/people/compensation
- [2] https://about.gitlab.com/handbook/total-rewards/compensation/compensation-calculator/If you want to hire someone asking even just a tiny bit more than what the algorithm says, you have to adjust the algorithm and increase everyone else, play with the role level to get what you want or just say sorry not possible.
My experience is that it's often the second one. "Yeah, he's more like level X than Y, but we need someone quickly and he's the only one in the pipeline, so let's bump his level so that it matches his salary demand and sign him." It kinda devalues the whole thing if you tweak the input to get the output you want.
Realistically if you have a candidate you want to hire but they are not happy with what the algorithm spits out either your baseline isn't correct for the current market situation (and therefore should be adjusted, affecting every employee), or it's not the right candidate.
The algorithm should be an accurate representation of what your company is willing to pay for an individual at a certain level.
If the candidate is not happy, fine. Can't have everything and they may be overvaluing their skillset. If the company is not happy, a single candidate should not get preferential treatment over the other employees.
"Critics said the results of the pay study could give a false impression. Company officials acknowledged that it did not address whether women were hired at a lower pay grade than men with similar qualifications."
mostly talks about internal policy and an ongoing suit against google for gender discrimination (against woman)
We should strive to correct prior unfairness with some other way than by propagating further unfairness.
[1] - https://en.wikipedia.org/wiki/List_of_ethnic_groups_in_the_U...
[2] - https://www.pewresearch.org/short-reads/2016/10/11/how-incom...
I know people almost single-handedly keeping valuable back-end systems running, that accrue millions in revenue for a company, but yet the company pays them less than the industry average for their role. Conversely, I have worked with corporate ladder-climbers who contribute nothing beyond endless catch-up meetings that earn more. If you do good work, that directly supports or creates revenue for your company, you deserve a fair slice of that, regardless of how your role is perceived by often technically illiterate HR and management layers.
HN is starting to look like a gaming forum or a comment by Marjorie Taylor Greene. Then again, have you seen Paul Graham's tweets lately?
I come here for technical discussions, but at this rate soon reddit will have subs with more substance and less political fights than HN
And obviously, if you are here for the technical discussions, why did you click on a thread about salaries of men vs. women?
Finally...this place is ruled by emotion just like every other place. It's only when everyone agrees that there is rational discussion.
https://www.forbes.com/sites/lizelting/2022/09/22/stop-sayin...
https://www.upstate.edu/diversityinclusion/policies-and-proc...
Like... it ain't hard to read up on this.
Because maybe I would learn that certain positions or areas are better/worse paid than others? Or that managers at Google are really bad at math? Or who knows, maybe the CEO hires really expensive prostitutes and pay them with company money disguised as salaries??
Not everything needs to be political you know.
I've been reading HN since 2016. It started decreasing in quality around the COVID pandemic's start, and quickly tanked after most of the YC community moved onto Bookface.
This community has basically become Reddit
These kind of passive aggressive comments are the equivalent of an ostrich putting their head in the sand.
That's not surprising as COVID was when many sites offically came out as echo chambers for the State by banning wrongthink.
Contrast that with equality (now verboten), where everyone gets an equal opportunity at success, but the results are up to individual performance.
I wound strongly contest that this is because, on the one side of the implementation spectrum, this turned out to impossible in a practical sense, and on the other side, it's far too easy to have the appearance of equality but not the actuality.
On the other side of things - (IMO) equity is also just a better concept - give people what they need to do reach their excellence, and you have far more people being excellent. (Although it sounds like we might have different ideas as to what "equity" even is)
Perfect equal opportunity is the goal, not necessarily the reality. It's not like we can go around handing out genes to make people NBA basketball players or genius mathematicians. Sometimes we might undershoot, other times overshoot, but it's a great ideal to aim for.
> equity is also just a better concept - give people what they need to do reach their excellence
What does that actually mean, and how does your definition differ from the one that I described?
AFAIK, "equity" is what you actually want. [Here's](https://interactioninstitute.org/illustrating-equality-vs-eq...) the usual explanation I see. Interestingly - I think "fairness" here is going to use the same definition as used in AI/ML, which (AFAIK) is "these inputs should not affect the outputs". Or, as it usually get encoded into English inside my head - find out what each person needs to succeed, and then give it to them. Now you have a lot more people succeeding than you did when their circumstances had to be a good match for the opportunity.
I do think there's a bit of legitimacy in the reactions against all this, in one very specific way - I think a lot of times it's assumed that this or that member of "privileged" life circumstances has had some specific need met - aka "the white guys don't need any help" - when a specific individual might not have. Personally, I really would have benefited from any mentor at certain crucial times of my life - college in particular comes to mind - and I think people assume I had them, or had access. I didn't, even if people "like me" did.
(side note - that's also why rule #1 is: don't make statements about other people's lives, only ever ask questions)
> differ
Near as I can tell, your definition limits "equity" to only concerning itself with outcome - and specifically equality of outcome - instead of (overly simplifying) methods plus outcome of maximized and/or sufficient success. That is - "equity" as I understand it doesn't need everyone to reach the same degree of success, it's more about making sure everyone reaches enough success ("to see over the fence") and beyond that to reach as much success as they each person can.
As freakin' always, here's the best tirade on "means vs ends" I've ever seen: https://strongfemaleprotagonist.com/issue-6/page-112-2/
Okay, but what is sufficient success and who gets to define it? A CEO who says "25% of our employees are women, mission accomplished" would be tarred and feathered by the media and DEI activists. Even if that is the natural outcome of the choices individuals make in a society with excellent gender equality.
For example, Scandinavian women are less likely to go into STEM than women in less equal countries. If that is in fact a matter of preference rather than coercion, shouldn't the "equitable" level of employment in STEM be based on the level of demonstrated interest?
But in virtually every DEI training I have experienced, anything other than perfect representation is viewed as failure, and the agency of minority groups is ironically dismissed. It's quite depressing really. Maybe you prefer the equity model in theory, but from what I have seen in practice, it is often implemented in a toxic and divisive way.
https://www.thejournal.ie/gender-equality-countries-stem-gir...
As best as I "get it" - that's like asking "okay but there's the object?" in functional programming. This stuff is "means"-oriented rather than "ends"-oriented. You find the people most in need of help, then you help them; rinse, repeat. Trying to base it off of ends is a code smell, indicative of other problems and ills that'll either prevent or undermine your progress, even if measuring those ends is useful to calibrating your means.
> But in virtually every DEI training I have experienced, anything other than perfect representation is viewed as failure, and the agency of minority groups is ironically dismissed. It's quite depressing really. Maybe you prefer the equity model in theory, but from what I have seen in practice, it is often implemented in a toxic and divisive way.
Well shit, that sucks. Sorry you're having to go through that. It's pretty alien to my experience; at worst, the DEI stuff I've experienced has felt vapid - The best has been amazing tho, and felt like it gave agency to many minority groups, and greater connection (less division) between people of different demographics. Equality stuff on the other hand, generally feels like finding ways to avoid the issue, and absolve someone of doing more - at least, now that I've seen "under the hood" more. Maybe you prefer the equality model in theory, but what I have seen in practice, it is often implemented in a shallow and avoidant way.
Did you have to make it into a political discussion by shouting your political position? I can't see any outcome of doing so that isn't bad for the quality of discussion.
But anyway, I was merely stating a possible root cause of the problem, hyper lip-service to a political ideology.
I don't like them - I've seen them literally help racial based college clubs get projects to work on at Google.
Those poor Indians can never catch a break.
I’ll ask you a similar question: when is white history month?
If I were to go to China, of course, as a white guy, I would never presume to be able to even achieve any type of leadership or government position there. And it's not just due to communism. I would not be able to achieve that in Japan either. And I struggle to conjure examples of native born U.S. ex-pats who emigrated from U.S. and then came to prominence in another country but I can think of many examples of the reverse.
And what about women from your particular ethnic group? Just because things went like they did historically doesn’t mean we cannot acknowledge that some people have an edge over others.
> Even if they're statistically doing better on average than some other groups in some cases, it could mean that tens of millions are suffering with no help and no support.
That’s a fair point, if we’re talking about general care and crisis response. The topic has been career advancement and employee support however, and a white male in the USA or Europe already has all the odds in their favour.
A support group for white men to help each other with the burden of being a white man is therefore, frankly, pretty ridiculous.
32% of US leadership are Asian+ against 6% of the US population.
Your own source fails to back you up - page 16.
It sounds like this can be seen in two ways:
1) White people are over-represented in leadership roles compared to the company as a whole.
2) Non-white people are over-represented in the company outside of leadership.
Both of these statements are true.