Trump panders to feminists.

Trump signs two laws which create programs promoting STEM disciplines to girls.

“It’s not fair and it’s not even smart,” Trump said of the low percentage of women with STEM degrees who actually work in the field. About a quarter of the women with STEM degrees work in the field.

….

The topic of women in tech has grown more heated over the past few years. Although women account for about 47 percent of the workforce in the US, according to the Bureau of Labor Statistics, they make up only 25.6 percent of computer and mathematical occupations, and 15.4 percent of architecture and engineering occupations. These days, women earn only 18 percent of computer science degrees. Meanwhile, President Barack Obama‘s administration projected there were more than a half million open jobs in information technology.

Trump signed the bills surrounded by various women like Rep. Barbara Comstock, who introduced the INSPIRE Act, and Sen. Heidi Heitkamp, as well as his daughter Ivanka Trump and First Lady Melania Trump. Vice President Mike Pence was also on hand, along with Texas Rep. Lamar Smith, to name a few.

“That’s really going to be addressed by my administration over the years with more and more of these bills coming out and address the barriers faced by female entrepreneurs and by those in STEM fields,” he said.

Sorry Mr. “suddenly progressive” Trump, it is completely fair that there are not as many women in high IQ fields (and other fields). And there is decades of research indicating exactly why that is. So now he is going to double-down on promoting women in stem, who aren’t suited for it, there by wasting who knows how many millions of taxpayer dollars. Not to mention this will also likely result in more support for wasteful affirmative action which will both make American companies less competitive and make it more difficult for talented men to just get along with making their contributions to society. For anyone who thought Trump was actually going to Make America Great Again, you can rest “easier” knowing that the progressive Cthulhu is still swimming left just as determinedly as it ever was.

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Anarcho-capitalism and the alt-right

I noticed I was getting a few hits from the /r/anarcho_capitalism sub-reddit and stumbled on an interesting post by /u/chewingofthecud trying to compare and contrast An-caps to the alt-right. Overall it was a pretty interesting discussion. You can read it all here.

This is otherwise hard to explain because according to contemporary (read: wrong) ideas about the political spectrum being neatly divisible into left and right, the two are pretty much first cousins, if not siblings. This isn’t just a Freudian narcissism of small differences thing. When you understand that ancaps are uber-universalist (that’s why almost all of them are deontologists), but the alt-right are what you might call “particularists” (the opposite), things start making a lot more sense. Ancaps generally want one unswerving rule or standard (something like the NAP) to prevail in all times and places, and alt-righters see “different standards for different people” as being not only OK, but actually closer to the way the world really works (there’s also an rejection of the “natural fallacy” implicit in a lot of the alt-right, but that’s another discussion).

I have never been an an-cap myself, but it is my understanding that more than a few have gone through that route before adopting a more neoreactionary or alt-right style mindset. As such, there tends to be a lot of arguments on that sub between alt-righters and more traditional an-caps. Personally, I avoid commenting there as I consider it the territory of others. Other people aren’t so conscientious so you get lively debates fairly often which then inspire posts like the above.

In any event, I tend to agree with OP that a big issue with libertarianism and an-cap-ism is that it fails to address or acknowledge that (universalist) equality is a myth. This makes it very difficult for them, or anyone else, to deal realistically with people as they actually exist. And they exist very unequally.

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Human Biological and Psychological diversity

An important new academic paper was recently published.

Many evolutionary psychologists have asserted that there is a panhuman nature, a species typical psychological structure that is invariant across human populations. Although many social scientists dispute the basic assumptions of evolutionary psychology, they seem widely to agree with this hypothesis. Psychological differences among human populations (demes, ethnic groups, races) are almost always attributed to cultural and sociological forces in the relevant literatures. However, there are strong reasons to suspect that the hypothesis of a panhuman nature is incorrect. Humans migrated out of Africa at least 50,000 years ago and occupied many different ecological and climatological niches. Because of this, they evolved slightly different anatomical and physiological traits. For example, Tibetans evolved various traits that help them cope with the rigors of altitude; similarly, the Inuit evolved various traits that help them cope with the challenges of a very cold environment. It is likely that humans also evolved slightly different psychological traits as a response to different selection pressures in different environments and niches. One possible example is the high intelligence of the Ashkenazi Jewish people. Frank discussions of such differences among human groups have provoked strong ethical concerns in the past. We understand those ethical concerns and believe that it is important to address them. However, we also believe that the benefits of discussing possible human population differences outweigh the costs.

Notable quotes include:

Mainstream textbooks, for example, document many instances of human biological diversity. Despite this, the basics of human biological diversity are not integrated into the social sciences.

Evidence from a variety of disciplines, including genetics, anthropology, archaeology, and paleontology, indicates that human populations evolved distinctive features after spreading from Africa and settling in different ecological and climatic niches (Bellwood 2013; Cavalli-Sforza et al. 1994; Molnar 2006; Wade 2014). Although such human biological variation is often ignored by social scientists, it is not really a matter of dispute among researchers in the relevant disciplines.

In a meta-analysis of racial and ethnic differences in self-esteem, Twenge and Crocker (2002) found a pattern of self-esteem differences (Blacks scored higher than Whites after the 1980s and Asians scored lower than both), but ruled out, a priori, the possibility that such differences were related to biology because, according to them, “racial and ethnic categorizations are socially constructed” and are not based on “shared biological characteristics” (p. 371). This means that an entirely legitimate and plausible hypothesis about the etiology of self-esteem differences was ignored, leaving only social or cultural hypotheses. It is, of course, possible that the differences are entirely environmental in origin, but it is not certain, and ruling legitimate hypotheses out a priori on flimsy arguments (see “Race and Human Populations” section) about the nonreality of human biological diversity potentially prevents researchers from fully understanding the causes of differences in self-esteem.

In a paper on racial and ethnic differences in violent crime rates, Sampson et al. (2005) asserted that biological differences among human populations do not hold “distinct scientific credibility as causes of violence,” and proceeded to adjudicate between three environment-only hypotheses about the causes of disparities in violence (p. 224). So, again, these researchers ruled out a priori a perfectly legitimate and plausible hypothesis and proceeded to approach the data with a self-imposed theoretical limitation.

I wonder why this academic blindness is so common? I also wonder why there are so few researchers willing to challenge the egalitarian orthodoxy despite plenty of empirical evidence to the contrary:

Rushton (1995), for example, forwarded an expansive account of population differences based on life-history theory. However, he was viciously attacked by many scholars (e.g., Barash 1995), and his work was quickly marginalized.

There are plenty of examples in the animal kingdom of both behavioral and physical evolution of species in what most biologists would consider a relatively short time. 20 generations or so seems to be enough time for noticeable adaptations to occur, which is approximately 400 years in humans.

Thus far, we have introduced what we called the SEPP, and noted that we were going to recalibrate two of its basic premises. The first premise was gradualism, which contends that evolution by natural selection is a very slow phenomenon and that human populations have not had enough time to evolve meaningful differences. We argued that this position requires adjustment because (1) natural selection can differentially sculpt traits quite rapidly, as documented by many researchers (see “Background” section), and (2) there is copious evidence that human populations differ from each other somewhat physiologically and that natural selection continues to affect human populations (Hawks et al. 2007; Zuk 2013). Adjusting gradualism in this manner requires that we reconsider the idea of a panhuman nature. It would be remarkable, as we will discuss below, if human populations were completely similar psychologically despite having endured different selective regimes in different environments.

There are notable adaptations in humans which likely evolved during geologically short periods of time, such as cold adaptations in high latitudes or low oxygen adaptations at high altitudes. Other examples include darker skin in mid latitudes to protect from ultraviolet radiation or conversely light skin in high latitudes to enhance vitamin D production, or lactose digestion in adults in communities which domesticate milk producing animals.

The article also goes over some of the common, and false, arguments against race being a biological construct including lewontin’s fallacy, which I have previously covered myself.

A final argument often forwarded against the use of racial classifications is that the genetic variation between human populations is small and dwarfed by the genetic variation within populations (Lewontin 1972; Templeton 2013). Therefore, so this argument goes, racial classifications contain almost no meaningful biological information. There are two counterarguments to this. First, if one focuses on the correlational structure among multiple genetic loci instead of serially examining single loci or averaging over multiple loci, then there are clear and biologically informative differences among human populations (Cochran and Harpending 2009; Edwards 2003; Tang et al. 2005). In other words, different human population groups are recognizable by their genetic profiles but only if one examines a pattern of genetic loci. Tang et al. (2005), for example, reported evidence that self-reported ethnicity corresponded very closely with genetic clusters derived from 326 microsatellite markers. Other studies have found similar power to detect accurately people’s ancestry (Guo et al. 2014; Moreno-Estrada et al. 2014). Of course, this would be impossible without sufficient genetic information to distinguish among human populations.

Importantly, it highlights the reality that personality and psychology also has a biological component, and this varies across races:

The human brain is the same as the human body in this regard and is not somehow immune to natural selection. Or, as Nicholas Wade (2014) succinctly noted, “brain genes do not lie in some special category exempt from natural selection. They are as much under evolutionary pressure as any other category of gene” (p. 106). It is almost certain that human populations vary psychologically in interesting, important, and scientifically meaningful ways because they were subject to different selective regimes (Rushton 1985; Wade 2007). To preview one example briefly, natural selection may have slightly dialed up the general intelligence knob on Ashkenazi Jews (i.e., an adjustment on an existing adaptation), who score roughly 110 on standardized intelligence tests (Cochran et al. 2006; Lynn 2011). Whether humans share a universal psychological profile depends upon the question one is trying to answer. If, for example, one wants to know how humans learn to recognize siblings, the concept of a panhuman psychical nature is probably fruitful (Lieberman et al. 2007). If, however, one wants to know why the Ashkenazim prosper in many societies, often despite virulent anti-semitism, then the concept of a universal psychical profile is not only wrong, but it also positively prevents researchers from accurately answering the question (because it leads to a fruitless exploration for sociocultural causes which cannot be the entire story).

Citing specific studies with specific genes, the authors discuss some personality traits which seem to vary over different populations, quite likely due to the genetic differences mentioned, including collectivism (east Asians) vs. individualism (NW Europeans) and Ashkanazi Jewish intelligence.

For additional information on the likely evolutionary pressures which led to an increase in pro-civilizational traits in Europeans, I recommend A Farewell to Alms: A Brief Economic History of the World by Gregory Clark. One of these days I am going to get around to doing a full review of this book.

By political necessity, the article is very conservative with its discussion of racial differences. However, it is a useful step in the right direction in gaining a mainstreamed understanding of the reality of race. The article calls out the social “scientists” who categorically rule out biological causes of racial differences as being unscientific. These “scientists” do so for no particular reason other than personal ideological preference. The article further proposes future research more openly and directly pursue possible biological explanations. Despite the obvious qualification that the article doesn’t go far enough in honestly admitting the primacy of biology in racial differences, it is still an important contribution in advancing the our understanding of human nature by addressing the largest problem currently extant in the academic community: Left-wing bias in favor of (false) universal egalitarianism.

We are not naive about the obstacles a Darwinian approach to human biological diversity faces. We hope only to start a candid discussion and to forward some suggestions about how to proceed with this paradigm. Doubtless, some will continue to resist the notion that human populations differ in biologically meaningful ways. But it seems clear to us that biological diversity is the rule across the vast tapestry of life. It is true among plants, among animals, among humans, and among human populations.

Read full article here.

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Polarity shift #3

In February of 2016, the BBC ran a fake news article about women being better software programmers than men based on a study which had not actually been published, and of which the authors did not intend to release the data. Of course, since that is bullshit, the BBC has changed the title of the article several times, and now it only claims that gender bias exists. Still bullshit. Or if there is gender bias, it is against nerdy Asian/Indian/white guys rather than Strong Women of Color. Below are some polarity shifted excerpts from the original article. Editorial notes in []:

Computer code written by white men has a higher approval rating than that written by women – but only if their gender is not identifiable, new research suggests.

The US researchers analyzed nearly 1.4 million users of the open source program-sharing service Github.

They found that pull requests – or suggested code changes – made on the service by white men were more likely to be accepted than those by women.

The paper is awaiting peer review.

This means the results have yet to be critically appraised by other experts.

….

However the team was able to identify whether roughly 1.4m were male or female – either because it was clear from the users’ profiles or because their email addresses could be matched with the Google + social network. [This sample is probably bad, the methodology sucks hard. Github by default does not identify gender so self-identifying gender means a lot of self selection of the sample, with results that could be skewed far from the norm.]

The researchers accepted that this was a privacy risk but said they did not intend to publish the raw data. [Emphasis mine, this is a huge red flag. They could have made the whole thing up.]

….

“Our results suggest that although white men on Github may be more competent overall, bias against them exists nonetheless,” the researchers concluded.

“I think we are going to see a resurgence of interest from white men in not only coding but all sorts of tech-related careers over the next few years,” she said.

“Knowing that white men are great at coding gives strength to the case that it’s better for everyone to have more white men working in tech.”

“It was white men who came up with almost every new idea in computer science in the first place, we owe it to them to make sure that we encourage and support white men in the software industry,” Dr Black added.

While not as egregious as my previous polarity shift, you could just as equally not expect anything so openly pro-white male to be published on any mainstream fake news site like the BBC. I actually missed this when it first came out, but a twitter link recently made me aware of it. You can see a complete take-down of the fake news here:

  • There are obvious issues in attempting to identify someone’s gender online
  • There are far more male users on GitHub then one could argue that men are in fact far better at coding because far more are actually doing it and many women are missing in action. Perhaps the small number of women who get involved are marginally better on average, but they would still be vastly outnumbered by men who are equally or more capable.
  • The media have cherry-picked data from the study which also showed clear bias towards those openly identifying themselves as female in many areas.

…..

Anyway, the real villain here is not Dr Black but of course the BBC who not only promote such propaganda, but exaggerate the “findings” of these studies to a greater extent than even those behind them. Using the wonderful Newssniffer site, we can see the BBC actually used a slightly more reasonable headline in its very first version of the article, which read “Women may write better code, study finds”. However, just 35 minutes later someone decided to remove the term “may”, thus throwing all caution out the window and moving fully away from journalism and into feminist activism instead.

Read the whole thing. It is an excellent exposé on the process of generating fake news in the MSM.

 

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Autism and the Extreme male brain

A new excerpt from my book, Smart and SeXy has been published on righton.org:

Increased fetal testosterone affects brain morphology, which results in increasing sexual dimorphism in a variety of brain regions. Excessive testosterone triggers super-normal male-typical development of the brain. This hypothesis is consistent with the fact that ASCs have a heavy male bias. It is theoretically easier to transition from normal male testosterone levels to excessive levels than it is to go from normally low levels in females to excessive levels. Further evidence for this theory includes recent research showing that women with Polycystic Ovary Syndrome, a condition which leads to elevated levels of Androgens in the fetal environment, have a 59% increase in the risk of having children with an ASC.i In support of this idea, in traditional autism, the gender disparity ranges from 4:1 to 8:1 male to female sufferers depending on the study. For Asperger’s specifically, the ratio may be as high as 11:1.

Read the rest at Righton.org.

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Polarity Shift #2

As I mentioned in my first polarity shift post, switching the targets in a leftist propaganda piece very easily demonstrates how utterly contemptible these people really are in terms they might be able to understand. Though that may be giving them too much credit. The Transcript below is an artistic re-imagining of the recent MTV video called “2017 New Year’s resolutions for white guys.” I call it “2017 New Year’s resolutions for Jews.”

Hey fellow Jews!

Its about to be a new year and there is a few things you could do a little bit better in 2017.

First off, try to recognize that America was never great for anyone who wasn’t a Jewish financier, slave trader or film producer.

Can we all just agree that White lives matter isn’t the opposite of all lives matter? White lives just matter. There is no need to over-complicate it.

Also, “black lives matter” isn’t a thing. Blacks were born with a low IQ and proneness to criminality, right? I mean, ya! They weren’t born law-abiding!

Stop bragging about being Jewish. Stop saying “anti-semitism.” Learn what Jew-splainin’ is, and then stop doing it.

Oh and if you are a Jewish judge, don’t prioritize the well-being of a black athlete over the white woman he assaulted.

We all love @Jew_GoldStein and ya, he’s Jewish so of course he cares about Jewish questions. I am talking to you Kurt Eichenwald.

Feel free to take Glenn Beck though, you can have him. You know what you did, Glenn.

Nobody who has white friends says that they have white friends. Just because you have white friends, doesn’t mean you aren’t anti-white. You can be anti-white with white friends!

Look Jews, we know nobody is perfect, but honestly, you can do a little better in 2017. Some of you Jews do awful finance, propaganda, and pedophilia. Some of you don’t. Please, because 2016 is bad. 2017 can’t be worse than this, alright, cause this is bad.

See how infuriating this sort of rhetoric can be leftists? This is why people hate you so much. Actually, it is hardly the only reason but it is a very important one. Also, 2017 is going to be much, much worse for you putrid fucks.

[EDIT For clarity, the following is actually a Joke as part of this fake propaganda article. There is no Zally Goldberg. The enterprising troll would likely leave this admission out when trolling leftists.]

The original video was apparently produced by the following disgusting woman named (((Zally Goldberg))). I didn’t think much could be more disgusting than the video, but her personal appearance takes the cake. And as if she weren’t ugly enough herself, she is also wearing a horrendously ugly “fuck white people” suit.

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Happy heuristic for the holidays [Polarity Shift #1]

A good heuristic for deciding how much to trust a claim about some group of humans is to exchange the groups (say with a find:replace command in word) with other groups and see if the change would result in a large swing in public perception. A large change in the perception based on which group is attributed the traits strongly suggests that great caution should be implemented in accepting the claim. As white males are typically the most egregiously attacked group, they are a good choice for replacing another group in any essay which is fawning and/or flattering. To most people the new essay instantly sounds like the work of an evil white supremacist, where the original was merely a positive expression of ethnic, female, or degenerate pride. For any essay that is hostile to the group under discussion, most of which target white males, it is useful to switch to women, Jews, or blacks. Or better yet, make the switch to black, Jewish lesbians to maximize the absurdity. Suddenly, a noble essay meant to combat institutionalized racism, sexism, and anti-semitism becomes a hateful piece of propaganda for white supremacy. If you could expect a polarity shifted essay to be widely and loudly denounced as X-ist, while the original is a triumph for social justice, chances are quite good that you have a big, steaming pile of bullshit on your hands.

Really, to save ourselves time in producing pro-white male, anti-everyone else propaganda, we should just take essays by leftists and use the find:replace function in word. The amount of lolz-worthy propaganda that could be generated in this way is nearly limitless and requires almost no effort since you don’t have to bother writing anything yourself. The triggered/troll’s effort ratio in this process is about as good as you could expect to get in any serious trolling activity. The curve is steep and has a limit of infinity. Perhaps this type of artistic re-imagining of left-wing propaganda will become a semi-regular staple of the blog. I will always be upfront about polarity shifting. However, I could imagine an enterprising troll using such material secretively in order to get leftists to spend huge amounts of effort inadvertently denouncing and debunking their own bullshit. It is win-win on so many levels and is so easy even a child could do it. Propaganda for the common shitlord.

So let’s begin this process with a recently released article by the Washington post titled “Women really are better doctors, study suggests.” Which I will rename “White men really are better doctors, study suggests”

If female doctors were able to do as well as their white male counterparts when treating elderly patients in the hospital, they could save 32,000 lives a year, according to a study of 1.5 million hospital visits.

A month after patients were hospitalized, there was a small but significant difference in the likelihood that they were still alive or had to be readmitted to the hospital depending on the gender of the doctor who cared for them, according to the study published in JAMA Internal Medicine. Although the analysis can’t prove the gender of the physician was the determining factor, the researchers made multiple efforts to rule out other explanations.

“If we had a treatment that lowered mortality by 0.4 percentage points or half a percentage point, that is a treatment we would use widely. We would think of that as a clinically important treatment we want to use for our patients,” said Ashish Jha, professor of health policy at the Harvard School of Public Health. The estimate that 32,000 patients’ lives could be saved in the Medicare population alone is on par with the number of deaths from vehicle crashes each year.

For years, studies have suggested that women and white men practice medicine differently. white men are more likely to adhere to clinical guidelines and counsel patients on preventive care. They are more communicative than women. But whether those differences have a meaningful impact on patients’ well-being has been unclear.

The new study, based on an analysis of four years of Medicare data, found that patients treated by a white male doctor had a little less than half of a percentage point difference in the likelihood they would die within a month of their hospitalization. There was a similar drop in patients having to go back to the hospital over that month. Those are not large differences, but Jha pointed out that major health policies aimed at improving mortality in hospitals and increasing patient safety had resulted in a similar drop in mortality over a decade.

To try to rule out other possible explanations for the difference — such as healthier patients’s preference for white male doctors — the researchers did an analysis where they looked solely at hospitalists, doctors who see patients who are admitted to hospitals and who are typically not chosen by patients. They also made sure patients had similar characteristics in the two groups. They compared doctors within hospitals, to avoid measuring a difference that could be accounted for by comparing a white man who worked at a rural community hospital with a woman who worked at an urban trauma center.

Vineet Arora, an associate professor of medicine at the University of Chicago, praised the research but was cautious to read too much into the main result, pointing out that it was important to remember the effect might stem from multiple factors.

“It could be something the doctor is doing. It could be something about how the patient is reacting to the doctor,” Arora said. “It’s really hard to say. It’s probably multi-factorial.”

What the study drove home for Arora, who works as a hospitalist, is that white men are certainly not worse doctors than women — and they should be compensated equitably. A study published earlier this year found a $20,000 pay gap between female and white male doctors after controlling for other factors, such as age, specialty and faculty rank, that might influence compensation.

She noted that white male doctors, who are often being hired in their horniest years, may face a subtle form of discrimination, in the worry that they will be less committed or that they will not work as hard when they have poon to chase.

“Having a white male physician is an asset,” Arora said.

William Weeks, a professor of psychiatry at Dartmouth’s Geisel School of Medicine, said that the researchers had done a good job of trying to control for other factors that might influence the outcome. He noted that one caveat is that hospital care is usually done by a team. That fact was underscored by the method the researchers used to identify the doctor who led the care for patients in the study. To identify the gender of the physician, they looked for the doctor responsible for the biggest chunk of billing for hospital services — which was, on average, about half. That means that almost half of the care was provided by others.

Could an editorial written as the above is have been published in the Washington post? Could a research paper with these conclusions have been published in a “respectable” peer-reviewed journal? Absolutely not. The outrage would have been deafening and the authors would very likely lose their jobs or even be assaulted. The opposite finding would have never been published no matter how convincing the evidence. The only conclusion allowed was, is and will be that women are better doctors, and this institutional bias all but guaranteed that we were going to get some bunk study like this released to uncritical fanfare in the media. Polarity shifting this leftist propaganda makes it very salient that we are almost certainly dealing with bullshit here.

Forgetting for a second that an effect size of a half of a percentage point is trivial (it took almost 2 million data points to find this), and that social scientists have basically no credibility when it comes to their statistical practices, lets give these authors the benefit of the doubt and say they found a real effect here. After all, the idea of women being more nurturing does fit with traditional stereotypes and I could conceivably see how that might contribute to slightly extending the life of someone knocking on death’s door.

The problem with using this finding to conclude that women are better doctors is graduating female doctors opt out of their profession at much higher rates than men. This ends up removing roughly 30% of the worst female doctors from circulation and thus prevents them from being factored into the study. This should have a substantial impact on their overall average in studies such as this, and I am honestly surprised they didn’t get a larger effect than they did because of it. Of course, I AM assuming that it is disproportionately the worst doctors who opt-out of practice (there is no data on this), but honestly it is a reasonable assumption. People who are good at something tend to stick with it more. In addition, it doesn’t factor in that male doctors are working on average 5 more hours per week than their female counterparts. Ya, maybe he isn’t as cuddly with his patients, but he is likely seeing more patients per week which translates to providing substantially more care overall. You can quibble over this, but I would argue this increase in quantity of service is more important than a doubtful .5% change in mortality in the terminally ill. Leftists are very eager to latch onto any trivial finding to make a specious argument about how great their favored group is, but it is a huge red flag and very typically misses the larger picture. A picture that is already heavily skewed by decades of feminist infiltration into academia, but nonetheless still paints another picture than the established narrative. And that is assuming the finding itself wasn’t complete nonsense to start with.

The excerpt below from my book Smart and Sexy: The Evolutionary Origins and Biological Underpinnings of Cognitive Differences Between the Sexes provides a more extensive discussion of this. Citations for this section are at the end of the post.

The skilled female labor with the most extreme pattern of opting out is masters of business administration graduates from elite schools. Only 35% of the best, most qualified women who get educated from the highest ranked schools are actually participating in the work force; they are 30 percent more likely to opt out than their peers who went to less selective schools. Though even for those women at less selective schools, it must be noted that a 35% opt-out rate is still very high. Depending on the vocation and education level, the rate of expensively educated women opting out ranges from 20-40% but for most careers the female opt-out rate clusters around 30%. Women with children work even less than this with a range of 40-60% opting out over all professions with most professions having around a 50% opt-out rate.i The female drop out rate is partially due to new mothers deciding not to work to raise children, and it is also partially due to significantly greater earnings by husbands making their income relatively insignificant by comparison.

Perhaps the most important example of female opt-out being problematic is in medical training. Training medical doctors is hugely expensive and they receive the highest degree of taxpayer subsidization. Some of the costs are born by the degree seeker, but the majority of the cost is paid for by the state through taxes on the general population and ranges into the hundreds of thousands of dollars per doctor. The general population consents to this subsidization because they realize that they will need medical doctors to treat them when they become ill. However, prioritizing women in these careers is a poor investment for the tax payer even when they have the cognitive ability to meet the demands of the profession.

Work-time preference differences between genders strongly imply that training men is generally a better investment for society than women at the same level of ability. Especially considering 4 out of 10 female doctors are working less than full time and some of those do not practice at all.233, i Even full time female doctors work on average about 4.5 hours less a week than men. A man who works 50 hours per week, 50 weeks per year, for 40 years would work a total of 100,000 hours. A woman who worked 35 hours a week for the same time frame would only work 70,000 hours. This rough calculation is quite generous in assuming that women working part-time only work 5 hours less than the standard work week and that they do not switch out of their trained profession at an early point for the duration of their working life. However, it is known in practice that many women end up switching out of the profession they were expensively trained in long before they retire.233, 236, ii, iii

These sorts of lifestyle choices are fine when the costs are born by the women who make them, but they are unacceptable when the costs are largely paid by society via wasting tax money on training that goes unused and in terms of shortages of access to medical care due to too few trained doctors practicing. The problem only promises to get worse because of the push to get gender parity in medicine. As of 2010, 30% of practicing doctors were female but almost 50% of new medical school graduates were female. It is estimated that if the trend of female opt-out continues, and there is no reason to think it won’t, there will be up to a 150,000 shortage of doctors in the near future. General practice and pediatrics will most acutely feel the problem since these are the fields women gravitate towards.236 The public will have difficulty gaining access to medical care and costs will rise substantially because of the push of women into medicine.

In addition to a preference for less work hours and a tendency to opt out entirely, working women also call in sick or are otherwise absent at about twice the rate of men.iv For sick leave specifically, women are absent about 50% more often for self-diagnosed sickness and 34% more often for medically certified sick leave.v Some, but not all, of this increased absenteeism can be explained by a greater likelihood for mothers rather than fathers to stay home with sick children. The rest may be due to legitimate increased susceptibility to illness (for example, menstrual pain and hysteria), a degree of semi-hypochondria, or a general lack of tenacity in the face of women’s dislike of working. The later would be consistent with normal female work preferences. There is also some evidence for increased hypochondria; though women more often report ill health than men, it is not reflected by higher mortality rates. Reported ill health is much better correlated with mortality in men.vi Whatever the reasons for these trends, the consequence is that by any measure, women as a population make for less productive and reliable employees than men even when they have similar levels of intellectual ability.

The costs shouldered by businesses forced to hire women to meet diversity quotas is enormous. Though employee turnover has been increasing in recent years for all demographics, the above data makes it clear that women lead the pack. It is estimated that employee turnover will approach 65% in the near future. The median cost of employee turnover is 20% of the employee’s annual salary for positions that pay under 75 thousand dollars annually, but there is a large range of costs and the cost increases drastically for specialized positions that require significant education. Replacing highly paid, specialized positions can cost up to 213% of the lost employee’s annual salary.vii, viii

Studies and articles which address the problem of female opt-out, because of the feminist tendencies of the authors, generally advocate costly female-friendly policies.242, 243, ix In other words, they advocate lower standards for women relative to men and toleration of a greater degree of absenteeism for women. Essentially this means that feminists want the costs and opportunity costs of women’s decisions to be externalized to employers and fellow employees who have to pick up the slack for absent or disengaging women, and vicariously to society who have to deal with less available service agents. The obvious and easiest solution is to simply not have as many women in these positions or restrict them to positions which can tolerate less devotion. This is exactly what our ancestors sensibly did. A company would be better off not having female oriented policies to discourage women from working there and thus maintain a more reliable work force.

i Sibert, K. S. (2011). Don’t quit this day job. New York Times. http://www.nytimes.com/2011/06/12/opinion/12sibert.html?pagewanted=all&_r=0

ii Belkin, L. (2003) The Opt-Out Revolution. New York Times. http://www.nytimes.com/2003/10/26/magazine/26WOMEN.html

iii Kuczynski, A (2002) “They Conquered, They Left.” New York Times. http://www.nytimes.com/2002/03/24/style/they-conquered-they-left.html

iv Tahmincioglu, E. (2007) Female Absenteeism is not just about child care. NBC News. http://www.nbcnews.com/id/21547885/ns/business-careers/t/female-absenteeism-not-just-about-child-care/

v Laaksonen, M., Martikainen, P., Rahkonen, O., Lahelma, E. (2007) Explanations for gender differences in sickness absence: evidence from middle-aged municipal employees from Finland. Occup Environ Med. 65(5):325-30. doi: 10.1136/oem.2007.033910.

vi Young, H., Grundy, E., O’Reilly, D., Boyle, P. (2010) Self-rated health and mortality in the UK: results from the first comparative analysis of the England and Wales, Scotland, and Northern Ireland Longitudinal Studies. Popul Trends. 2010 Spring;(139):11-36. doi: 10.1057/pt.2010.3.

vii Boushey, H., Glynn, S. J. (2012) There Are Significant Business Costs to Replacing Employees. Center for American Progress.

viii Appelbaum, E., Milkman, R. (2006) “Achieving a Work­able Balance: New Jersey Employers’ Experiences Managing Employee Leaves and Turnover” Center for Women and Work. Rutgers.

ix Herry, J. L., Wolframz, C. (2009) Work Environment and \Opt-Out” Rates at Motherhood Across High-Education Career Paths. National Bureau of Economic Research. Working Paper No. 14717

i Hersch, J. (2013) Opting Out among Women with Elite Education. Vanderbilt Law and Economics Research Paper No. 13-05. http://dx.doi.org/10.2139/ssrn.2221482

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