Now I don't think everyone has to agree with what was written, but it would help to at least get to a common understanding. I didn't find anything in the text that said or even hinted that women were "inferior", but apart from the chance that I just missed it, it also seems that some of the ideas and concepts presented might at least "feel" that way when stripped of their context.Write a doc about how inferior women are, then try to be a hero by offering help to save the *vulnerable* 🤢🤢🤢 Still shaking in anger.
— Jaana B. Dogan 👀 (@rakyll) August 4, 2017
Ideally, we would get the original with citations and figures, but as a less-then-ideal stopgap, here are some references to the science that I found.
UPDATE: The original document has been published.
Biases
The text starts with a list of biases that the author says are prelavent in the political left and the political right. This seems to be taken directly from Jonathan Haidt.Text, Slides
Article in the New York Times: Forget the money follow the sacredness
Possible non-bias causes of the "gender gap"
Second, after acknowledging that biases hold people back, the author goes into possible causes of a gender gap in tech that are not bias, and may even be biological in nature. There he primarily goes into the gender differences in the Big Five personality traits.
As far as I can tell, the empirical solidity of the Big Five and findings around them are largely undisputed, the criticism listed in the Wikipedia page is mostly about it not being enough, being "just empirical". One thing to note is that terms like "neuroticism" in this context appear to be different from their everyday use. So someone with a higher "neuroticism" score is not necessarily less healthy than one with a lower score. Seeing these terms without that context appears to have stoked a significant part of the anger aimed at the paper and the author.
Jordan Peterson has a video on the same topic, and here are some papers that show cross-cultural (hinting at biological causes) and straight biologically caused gender differences in these personality traits:
- Gender Differences in Personality across the Ten Aspects of the Big Five
- "Gender differences in personality tend to be larger in gender-egalitarian societies than in gender-inegalitarian societies" – Gender Differences in Personality and Interests: When, Where, and Why?
- Confirmed a few years later: "Previous research suggested that sex differences in personality traits are larger in prosperous, healthy, and egalitarian cultures in which women have more opportunities equal with those of men. In this article, the authors report cross-cultural findings in which this unintuitive result was replicated across samples from 55 nations (N = 17,637)." – Why can't a man be more like a woman? Sex differences in Big Five personality traits across 55 cultures.
- "...the emergence of sex differences was similar across culture." The Emergence of Sex Differences in Personality Traits in Early Adolescence: A Cross-Sectional, Cross-Cultural Study
- Gendered Occupational Interests: Prenatal Androgen Effects on Psychological Orientation to Things Versus People
As a matter of fact, it appears to be that one reason women choose tech less than men is that women who have high math ability also tend to have high verbal ability, whereas men with high math ability tend to have just the high math ability. So women have more options, and apparently people of either gender with options tend to avoid tech: Why Brilliant Girls Tend to Favor Non-STEM Careers
Of course, the whole idea that there are no biological reasons for cognitive differences is The Blank Slate hypothesis, which was pretty thoroughly debunked by Steven Pinker in his book of the same title: The Blank Slate. What's interesting is that he documents the same sort of witch hunt we've seen here. This is not a new phenomenom.
Even more topical, there was also the Pinker/Spelke debate "...on the research on mind, brain, and behavior that may be relevant to gender disparities in the sciences, including the studies of bias, discrimination and innate and acquired difference between the sexes."
This covers a lot of the ground alluded to in the "manifesto", with Pinker providing tons and tons of interlocking evidence for there being gender-specific traits and preferences that explain the gaps we see. Almost more interestingly, he makes a very good case that the opposite thesis makes incorrect predictions.
There is lots and lots more to this. One of my favorite accessible (and funny!) intros is the Norwegian Documentary The Gender Equality Paradox. The documentary examines why in Norway, which is consistently at the top of world-wide country rankings for gender equality, professions are much more segregated than in less egalitarian countries, not less.
Empathy
I was surprised to find this, but what he writes about is exactly the thesis of Paul Bloom's recent book Against Empathy. (amazon, goodreads, New York Times).Brilliantly argued, urgent and humane, AGAINST EMPATHY shows us that, when it comes to both major policy decisions and the choices we make in our everyday lives, limiting our impulse toward empathy is often the most compassionate choice we can make.One small example he gives is that empathy tends to make us give much weight to an individual being harmed than many people being harmed, which is a somewhat absurd outcome when you think about it. There's a lot more, it's a fascinating read that forces you to think and question some sacred beliefs.
Microagressions
Microaggressions: Strong Claims, Inadequate Evidence:I argue that the microaggression research program (MRP) rests on five core premises, namely, that microaggressions (1) are operationalized with sufficient clarity and consensus to afford rigorous scientific investigation; (2) are interpreted negatively by most or all minority group members; (3) reflect implicitly prejudicial and implicitly aggressive motives; (4) can be validly assessed using only respondents’ subjective reports; and (5) exert an adverse impact on recipients’ mental health. A review of the literature reveals negligible support for all five suppositions.
The Science of Microaggressions: It’s Complicated:
Subtle bigotry can be harmful, but research on the concept so far raises more questions than answers.
[..]
Still, the microaggression concept is so nebulously defined that virtually any statement or action that might offend someone could fall within its capacious borders.
[..]
The science aside, it is crucial to ask whether conceptualizing the interpersonal world in terms of microaggressions does more good than harm. The answer is “We don’t know.” Still, there are reasons for concern. Encouraging individuals to be on the lookout for subtle, in some cases barely discernible, signs of prejudice in others puts just about everyone on the defensive. Minority individuals are likely to become chronically vigilant to minor indications of potential psychological harm whereas majority individuals are likely to feel a need to walk on eggshells, closely monitoring their every word and action to avoid offending others. As a consequence, microaggression training may merely ramp up already simmering racial tensions.
Oh, and it's also taken #13 overall in Apple programming books.
X-Axis is buffer size in KB. The original 512 byte size isn't on there because it would be 0.5KB or the entire axis would need to be bytes,
which would also be awkward at the larger sizes. Also note that the X-Axis is logarithmic.
