I do not think that anyone's ability to write should disbar them from discussion. We can not expect perfection from others. Instead we should try to understand them as human beings, and interpret them with generosity and kindness.
I do not think that anyone's ability to write should disbar them from discussion. We can not expect perfection from others. Instead we should try to understand them as human beings, and interpret them with generosity and kindness.
I think advancing points is fine, but if you're after productive discussion rather than an adversarial debate, you need to proactively invite discussion. And if an adversarial debate was what he was after, that does strike me as inappropriate work communication.
And for the record, I did not get any aggressive tone from his paper. I thought he was as polite as he needed to be and made the necessary caveats. I think many people were just so unprepared to hear any argument from an opposing viewpoint that they read into it what they wanted to.
This was addressed in the article. This burden has fallen on women since they were teenagers. To expect them to do it yet again, to have to defend themselves at work this time, is ridiculous.
I'm talking about handling what Damore claimed in an intellectually honest way. You can't dismiss his points just because you're tired of talking about them (or what you think are the same points you've always been talking about, but I think Damore's comments on each gender's preference and pressures for picking careers had something worth discussing). What he said had at least some spark of originality and insight, otherwise it wouldn't have gotten nearly the attention it did. Consider, would we be talking about the memo if it were about how he thought Sundar Pichai was a lizard man?
Those who disagreed with Damore already won the battle. They kicked him out of Google and doubled down on their diversity initiatives/echo chamber. We should be able to talk about his arguments honestly and rationally without falling back on gendered reasons at this point at least.
You can, and some people have, and that's okay. It's not clear whether you're making the implication here, but commonly it's implied that "if you walk away from the debate therefore you are wrong", which is fallacious. Nobody owes you a debate.
> I'm talking about handling what Damore claimed in an intellectually honest way
Then the initial argument needs to start from a place of "intellectual honesty".
Damore presented evidence to support his claim that women are on average less able than men in areas relevant to engineering. He didn't discuss veracity, or contradictory evidence. That's textbook confirmation bias, not intellectual honesty.
Damore then started making HR policy proposals. We use a 50/50 gender ratio as an indicator that a particular field is free from bias. It's one thing to propose that 50/50 is not the natural ratio to end up with, but until Damore can propose a model that predicts another number then proposing HR policy changes put the cart before the horse. This indicates that the policy changes are what James in interested in, not the evidence. More confirmation bias.
Further, Damore's proposals discuss diversity as a whole (race not just gender) without a single word of justification, let alone evidence. That's either more confirmation bias or conscious sleight-of-hand, either way, it's certainly not intellectual honesty.
I don't bear Damore any ill will, he should be forgiven, but this memo was a mistake and showed poor judgement and more than a little bias. These studies may be good science, but stringing them together to confirm a conclusion you'd already set your sights in making is bad science.
This seems to assume that the only way to measure or achieve equitable hiring is to measure the representation of identity groups across a given position and make sure it tracks their makeup in the general population. It's not clear to me that there aren't other acceptable methods of trying to make things equitable.
For example, you could check that applicants from different identity groups succeed in being hired at about the same rate. That's a practice that should direct an organization towards equitable results whether the reality is that women are underrepresented because of sexism in hiring or the reality is that women are represented in different proportion because of the endeavors they tend to prefer. And also for a reality that's a mix of both (which I suspect is the way of things).
Also: if the primary accepted standard becomes to match representation in a position with an identity's representation in the population, it seems pretty likely that over time it would become more difficult over time to predict a "natural" ratio.
This solves two problems: 1) the hiring process is blinded and 2) you can demonstrate to the whole world that it's blinded.
As a side bonus, you get to eliminate other implicit biases that are part of the hiring process, like people preferring people who act like them.
So why do you think there is such a disparity in outcome?
Fix problems at the source, don't apply hack after hack to route around it.
Edit: Google says that their diversity platform is non-discriminatory because they're not changing their standards, but rather looking harder for qualified diversity candidates (paraphrasing). This makes the gargantuan and probably unwarranted assumption that there are a lot of these candidates not applying and that 'looking harder' will find them.
If instead we're adding a 'fudge factor' based on race, gender, or other measure of 'privilege', we're just hoping that fudge factor in hiring makes up for problems elsewhere, and it can paradoxically make things even worse.
Think about a lot of the (often very well justified) complaints that minority and other hires have with the current situation: they feel like, or they feel that other people believe, that they are simply a 'diversity hire' that doesn't deserve to be there. They feel constantly pressured to 'prove themselves' under the suspicion that the bar was 'lowered to let them in'. And the entire structure of un-blinded affirmative action exacerbates the situation, because nobody is allowed to know how big the fudge factors are, neither the minorities nor the dominant group. Under that situation, how can there anything but suspicion and mutual distrust?
Under a provably blinded hiring process, none of those should be an issue, because the process is completely transparent and agreed to ahead of time.
Other people have said this much more eloquently than me:
https://heterodoxacademy.org/2016/05/12/the-amazing-1969-pro...
A 'blind' hiring process _can_ be akin to, faced with a densely connected graph, focusing only on the most immediate causal relationships.
I do agree that 'fudge factor's are clumsy at best, where all candidates are hired, and then an arbitrary number is added to candidates based on race/gender/etc.
However, 'fudge factors' have already existed in history. For a completely different example outside of hiring practices: redlining[1] was an explicit practice of denying services/mortgages to city neighborhood based on its racial makeup.
So, what now? There have been decades of racist 'fudge-factoring' in real estate and urban development. Is the right approach to fudge-factor the other way? Or is it to be 'blind' and to look purely at the financials of each individual/organization?
Obviously this is a different scenario than hiring, and cannot necessarily be directly applied back onto hiring practices. However, we can separate out a) one way to correct for historical/systematic 'fudge factors' from b) whether or not this can apply to hiring.
I would argue that yes, you need fudge factors to correct previous problems.
It should be fair and transparent, I agree, but it will not be very clear-cut. In complex systems (densely connected graphs of causality), the only clear-cut processes are creating problems, or ignoring them. Fixing complex problems are always messy.
This is true if you consider a single subject, but no longer true if you consider different stakeholders and their needs separately.
(Disclaimer, this describes part of a service we provide)
Specific to your point, in a hiring system modelled like ours:
* Employees assessing a particular hire can operate blind (or near-blind in the case of interviews).
* Hiring managers can have access to identifying information (but by default just see aggregated scoring data).
* D&I managers can see aggregated demographic stats.
* Candidates see their own data & scoring info
We've run a similar study and for the company we were hiring into we found blinding in that specific case had no effect on race or gender but drastically improved socio-economic diversity. The hiring company already had equitable hiring on gender & the candidate group wasn't racially diverse enough to make a conclusion.
Would I generalise that result to all organisations? No way, and neither should you.
If you can find the study you're thinking of I'd be interested to look at it.