When it rains it pours

Recently I wrote a post on pirates in which I discussed a historian who explained his experience in reading contemporary “academic” writings on the history of pirates. Quite unsurprisingly, leftists have been attempting to rewrite history in order to make pirates into race-mixing homosexuals.

Contemporary historians have tended to use pirates for their own ends, depicting them as rebels against convention. Their pirates critique early modern capitalism and challenge oppressive sexual norms. They are cast as proto-feminists or supporters of homosocial utopias. They challenge oppressive social hierarchies by flaunting social graces or wearing flamboyant clothing above their social stations. They subvert oppressive notions of race, citing the presence of black crew members as evidence of race blindness. Moses Butterworth, however, did none of these things.

The true rebels were leaders like Samuel Willet, establishment figures on land who led riots against crown authority. It was the higher reaches of colonial society, from governors to merchants, who supported global piracy, not some underclass or proto proletariat.

Even though it is merely an anecdote, it perfectly lines up with what research there is about rampant left-wing bias in academia.

Sometimes I wonder if synchronicity is real because when one such story pops up, there is usually a couple of more in short order. Sure enough, yet another anecdote of left-wing hegemony and harassment in academia was made known to me thanks to a post by Malcom Pollock. This time it is a medieval studies professor being hounded by marxist shills colleagues for 1) not being 1oo% critical of “white supreemisiiiist” Milo Yianopolous and 2) for not black-washing (European) medieval history.

[In addition to local faculty and students, she also had very negative] reactions from colleagues who identify as medievalists elsewhere in the country, most notably the group sponsoring the session at the International Medieval Congress last weekend on “Whiteness in Medieval Studies.” As they see it, our field is not only too white in its faculty and student demographics, but too white in its methodologies, above all in its “lack of complex racial consciousness.” In their view, having people like me who say things like “Some of the things that we value most in our contemporary culture were conceptualized and supported by white, a.k.a. European, men” (like, for example, chivalry, marriage by consent, and women’s right to vote) only serves to attract white supremacists to the study of our field.

[One] of our graduate students has argued in a piece published in Sightings this week that medieval studies needs to forcibly diversify its faculty by purposefully hiring from underrepresented communities so as to counter the impression of “Whites Only” that persists in the field. What he does not explain is why anyone would want to study the Middle Ages in the first place.

Anything done by ethnic Europeans needs to be scrubbed from history. Unless, of course, it is bad. In that case, it needs to be exaggerated beyond all proportion and then blamed on people who weren’t born until hundreds of years after the events in question. Also, all whites should lose their jobs or be stopped from being employed in the first place. Of course, I am sure the minorities will stop there with their demands [extremely NSFW].

I also liked this description and understanding of Gender studies as well:

“Studies,” by their very nature, have no borders–or discipline. They depend utterly on feelings of belonging to a group defined only by mutual interest in particular periods, regions, sources, or themes, not any shared training or expertise. It is as if one wanted to have a program in sports–and refused to train the students in any particular sport lest they exclude anybody for not having that skill. Or a program in music in which nobody learned a particular instrument to play. Or a church where nobody had to confess any particular doctrine or understanding of God, that is, had no shared conception of worship or how to act in relation with the divine. In Professor Peterson’s terms, “studies” have no motivating story or star because they offer no training in what to do.

Sounds about right.

I think Malcolm is right and that fencing bear at prayer is probably a blog worth following. Lies of the left: “gender fluidity” is another promising title.

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Pirates

I have been pretty busy lately so my I haven’t been able to post in awhile, but I cam across an unexpected description of “progressive” revisionist history I thought I would share. Basically, there was an article on pirates by a Harvard educated historian named Mark Hanna, who is now a professor at UC San Diego. With those credentials and job, I was surprised he would publicly dismiss his Marxist colleagues. I was reading this for leisure and was mainly looking to see some entertaining anecdotes (presumably true, or at least trueish) kind of like the following:

Armed with clubs, locals Benjamin and Richard Borden freed [locally settled former pirate] Butterworth from the colonial authorities. “Commanding ye Kings peace to be keept,” the judge and sheriff drew their swords and injured both Bordens in the scuffle. Soon, however, the judge and sheriff were beaten back by the crowd, which succeeded in taking Butterworth away. The mob then seized Hamilton, his followers, and the sheriff, taking them prisoner in Butterworth’s place.

A witness claimed this was not a spontaneous uprising but “a Design for some Considerable time past,” as the ringleaders had kept “a pyratt in their houses and threatened any that will offer to seize him.”

Governor Hamilton had felt that his life was in danger. Had the Bordens been killed in the melee, he said, the mob would have murdered him. As it was, he was confined for four days until Butterworth was free and clear.

Amusing.

However, the author also had to say this about what he found when he parsed through the work of modern day “historians”:

Contemporary historians have tended to use pirates for their own ends, depicting them as rebels against convention. Their pirates critique early modern capitalism and challenge oppressive sexual norms. They are cast as proto-feminists or supporters of homosocial utopias. They challenge oppressive social hierarchies by flaunting social graces or wearing flamboyant clothing above their social stations. They subvert oppressive notions of race, citing the presence of black crew members as evidence of race blindness. Moses Butterworth, however, did none of these things.

The true rebels were leaders like Samuel Willet, establishment figures on land who led riots against crown authority. It was the higher reaches of colonial society, from governors to merchants, who supported global piracy, not some underclass or proto proletariat.

I was not expecting to see that there have been attempts to homosex and diversitopitize pirates or see such an honest account of today’s academic historians, especially not when the topic is pirates. However, I can’t say I am surprised now that I have been made aware it is occurring. SJWs will ruin everything, even the things no one is even trying to care about. I suppose I am somewhat surprised to learn that prig progs have bothered pozzing such a niche and relatively esoteric field. I would expect the audience for actual pirate history to be so slim as to not be worth pursuing compared to other areas capable of greater reach. Then again, the main audience is probably Marx Cult PIs so the writers need to prepare the right slop for those pigs. A nasty brew it is.

Even though the author hasn’t given any specific examples of Marxist tripe in historical articles on pirates, the pattern is perfectly consistent with the research I myself did for Smart and Sexy (Review list). An excerpt is currently available from altright.com and it goes into a fair amount of detail, with citations, about just how biased modern “academics” are. It should surprise no one that progressive “historians” are making a complete mess of history just like their social “scientist” colleagues.

Ideological bias is rampant in the humanities generally, but especially in social psychology; both among individual researchers and among the journals publishing papers. Beyond the lack of objective critical evaluation of papers, the field itself is essentially an ideological and political echo-chamber that is considerably more left-wing politically than the general population. 80% of social psychologists identify as liberal, while only 3 out of 1000 identify as conservative. Contrast this with the general population which is 40% conservative and only 20% liberal; the remainder being moderate or apolitical. Looking through all social sciences, the ratio of liberals to conservatives varies from 8:1 to 30:1.Were these sorts of numbers occurring with an ideologically designated protected class, these same social psychologists would be the first to use it as incontrovertible proof of discrimination.

Read the whole thing at altright.com.

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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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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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Race Hustlers on Reddit are spreading misinformation on /r/”science” again

/r/science on reddit is having a race hustler thread where cathedral academics are telling everyone the same tired nonsense that differences in outcomes between groups are caused by SES and discrimination by white men. I decided it would be valuable to post an excerpt from my book which discusses the left wing bias in academia because there is a lot of it and I don’t think these people should get a free pass on spreading misinformation like this. If you have a reddit account, I think it would be a good idea to go in and counter these false claims. There is plenty of evidence that IQ differences have genetic causes, and that thread should be littered with links to it.

Since the probability that my comments will be removed is high, I decided to make a copy of them here [edit: I checked and as expected the comments are already removed. Check out this site which saves all the removed comments. Notice a pattern? Edit2: Apparently this thread was made because high level progressives in science journals or media demanded it in order for the sub to have advance access to new announcements of interesting research. In other words, spread our ideology and we will give you insider access and other perks.]:

*******************************

IQ is the single best studied and understood psychological trait. It has been studied for over 100 years and has consistently found that the black/white IQ gap on average is about 15 points. It has also found that the male distribution is significantly more variable than the female curve. What this means is that among the smartest people, those most likely to do well in science, the population is about 2 males for every 1 female. Intelligence level has been shown to be mostly determined by genetics. You can see a large compilation of studies and findings which demonstrate how strongly genetic intelligence and other traits are here. These innate IQ differences explain the differences in outcomes of different populations of humans without needing to resort to unfalsifiable and unscientific concepts like “white privilege” or bias.

I gave you enough links above to start on this. Instead of repeating this easily findable information, I am going to talk about the progressive/far left wing bias that exists in academia. This bias seriously undermines the credibility of race and gender hustlers who try to use credentialism to support untrue opinions about white/male privilege. For an independent opinion, see the website of liberal social psychologist Jonathon Haidt where he and others admit to and discuss the problems caused by this progressive bias.

I wrote a book on gender differences in intelligence called smart and sexy, and it cites hundreds of studies which together confirm and explain why gender differences in outcomes exist and that they are mostly biological in origin. You can find a wealth of data in there for biological mechanisms. However, I also took the time to analyze the current state of academia and what I found was extremely troubling. Below is an excerpt of a section of that book. Remember that the focus of the book is on gender, but this left-wing bias also applies to claims about race.  Citations for all my claims will be at the end.

Saying that the academic community has a large progressive bias is a very strong claim and such an extraordinary claim requires extraordinary evidence. So what is known about the “scientists” who publish “research” in politically charged areas? Diederick Stapel was previously a highly regarded and influential Dutch social psychologist who did a lot of work on stereotype threat until it came to light that he “routinely falsified data and made up entire experiments.” Another example of his politically biased work was a “scientific” article which sanctimoniously claimed to find that meat eaters were more selfish and less agreeable than vegans. Unfortunately, it is impossible to be surprised by outspoken priggishness from vegans and their sympathizers.

Thanks to this media attention, Stapel is now the most notorious charlatan in the field of social psychology, which is saying a lot for what appears to be a regularly fraudulent and pseudo-scientific discipline. Social Psychologists as a group do not make the data they collect available for outside review 2/3rds of the time. This stinginess with data is actually against the ethical rules established by social psychologists themselves and suggests that there are likely many more Stapels out there who simply haven’t been caught. A survey by the Harvard business school found that 70% of social psychologists admitted to cutting corners in reporting data, 30% reporting unexpected findings as if they were expected from the start, and 1% admitted to falsifying data.

Another meta-analysis of papers published in high-tier psychology journals found that 50% of papers surveyed contained at least one statistical error and 15% contained an error so severe that the conclusion drawn would have had to have been reversed.i, ii A meta-analysis which looked at whether or not positive results from stereotype threat studies could be replicated found that almost half could not, and that a further 25% were confounded by methodological issues.iii Methodological issues, especially in determining statistical validity, have even been used by one Social Psychologist to publish in a major, respected journal that he had proven the existence of psychic ability. His finding used standard statistical practices in psychology and resulted in heavy criticism by professional statisticians of both the specific paper and the psychology community generally.iv

This high publicity criticism led to a fair degree of soul searching among the psychological community and led some researchers to undertake the task of evaluating how widespread these problems are. One analysis reviewed articles from the last 100 years in the top 100 journals based on the impact factor; a measure of the level of influence a paper or journal has on the field. It found that in that time, for the highest impact journals, only 1% of all research findings in psychology had ever been replicated. Of that 1%, only 14% were in fact direct replications. The rest tested similar hypotheses under different conditions. However, successful replications themselves have to be received critically. Half of the 1% of replications had authors from the original study; this is troubling because the presence of the previous author greatly impacts the chance of positive replication and implies bias might be playing a role. 92% of replication studies with an author from the original paper confirm the original result, while only 65% of replications by independent researchers confirm the original finding.v

Problematic methodology isn’t the only issue in psychology. Ideological bias is rampant in the humanities generally, but especially in social psychology; both among individual researchers and among the journals publishing papers. Beyond the lack of objective critical evaluation of papers, the field itself is essentially an ideological and political echo-chamber that is considerably more left-wing politically than the general population. 80% of social psychologists identify as liberal, while only 3 out of 1000 identify as conservative. Contrast this with the general population which is 40% conservative and only 20% liberal; the remainder being moderate or apolitical. Looking through all social sciences, the ratio of liberals to conservatives varies from 8:1 to 30:1.vi Were these sorts of numbers occurring with an ideologically designated protected class, these same social psychologists would be the first to use it as incontrovertible proof of discrimination.vii, viii

Considering what is now known about the biological origins of cognition and intelligence (discussed in more detail in future sections), it is generally difficult to take claims of discrimination seriously when underrepresented groups also display relatively lower intelligence profiles. However, in this case there is no reason to think that conservatives as a group have an intellectual profile below the general population. Social conservatives tend to be a little lower in intelligence relative to liberals, but free-market conservatives (libertarians) tend to be smarter than liberals. Being very partisan, either liberal or conservative, tends to be associated with high IQ as well.ix Increased income levels, which are a proxy for IQ, also moves people right ideologically.x In other words, there is nothing that biologically determined intelligence can do to explain the lack of conservatives, and even moderates, in the humanities.xi

In a survey of social psychologists, it was found that conservative respondents feared negative consequences from revealing their political affiliation and that they were right to do so as liberal respondents expressed willingness to discriminate against conservatives in approving papers, grant proposals, and hiring decisions.xii The more liberal a social psychologist is or the more consequential the decision would be for the conservative, the more willing liberal social psychologists are to discriminate.

The temptation . . . to advance a political agenda is too often indulged in sociology, especially by activist faculty in certain fields, like marriage, family, sex, and gender . . . Research programs that advance narrow agendas compatible with particular ideologies are privileged . . . the influence of progressive orthodoxy in sociology is evident in decisions made by graduate students, junior faculty, and even senior faculty about what, why, and how to research, publish, and teach . . . The result is predictable: Play it politically safe, avoid controversial questions, publish the right conclusions…

[Compared to conservative sociologists] Politically-correct sociologists enjoy certain privileges in a very politically conscious and liberal discipline. They can, for example, “paint caricature-like pictures based on the most extreme and irrational beliefs of those who differ from them ideologically without feeling any penalty for doing so,” and “can systematically misinterpret, misrepresent, or ignore research in such a manner as to sustain [their] political views and be confident that such misinterpretations . . . are unlikely to be recognized by [their] colleagues” [Social science researchers believe] “that social science should be an instrument for social change and thus should promote the ‘correct’ values and ideological positions”vi

With this sort of cultural climate, exploring gender differences, or even just acknowledging that such differences exist is extremely difficult for professional scientists to do today. The pattern of ideologically driven academics significantly undermines the ability of an objective outsider to trust the conclusions coming out of certain fields, especially when it is related to such a politically charged subject as gender (and race) differences in test scores. It is quite clear that the overwhelming majority of researchers working on this topic possess a politically desired outcome of these studies. The great potential for this systemic Lysenkoism to motivate the production of inaccurate results and interpretations contrary to reality can’t be overestimated. The objectivity of the field in concluding stereotype threat is a real and large effect phenomenon in particular is highly questionable.

Calling cynical skepticism of the social sciences “anti-intellectual,” a common criticism directed towards conservative thinkers, is only so in the sense that these “scientists” have misdefined the word “intellectual” to describe their political ideology and therefore themselves. It is quite conceivable that the modern attitudes described as “anti-science” attributed to conservatives are fundamentally merely a non-inevitable reaction to what can only be described as pseudo-science being published by leftist activists in academia; and stereotype threat is just one example of peer-reviewed pseudo-science.xi

Certainly in some cases there are conservatives that legitimately hold anti-scientific views, such as in the case of evolution generally. But when it comes to evolution of the human species specifically, many liberals are just as anti-scientific as the most hardcore creationist. The main difference is that the left, being dominant in state institutions and having ample government funding, has the power to enforce idealism contrary to reality while most conservatives do not have symmetric influence. This asymmetry in power makes leftist anti-reality beliefs of far greater concern and consequence than the equivalent conservative anti-reality beliefs.

For the average person, it isn’t so hard to notice some of the more egregious examples of leftist pseudo-science. Since most people do not have the time or energy to independently evaluate every pronouncement from every field coming out of the scientific community, it is more efficient (and natural) to use a quick short-hand, or stereotype, to extrapolate from a more narrow range of data for which they do have time and interest to look into. If their interest happens to be in an area replete with pseudo-science, and that’s likely because politically controversial areas are both the most likely to be interesting and to contain pseudo-science, then they have found themselves an extraordinary indicator of dishonesty which they then extrapolate from.

As a consequence of general distrust, society is more likely to develop unreasonable movements like that against vaccinations. It is not reasonable for the scientific community to expect the average person to evaluate every single scientific finding themselves. They have real lives that do not, and should not, have to deal with academic politics. Therefore, scientists need to do a better job rooting out bias, and especially liberal bias, in their fields so the public can actually trust what they say. If academics want to be trusted, they first must be trustworthy because trust, for institutions as much as individuals, must be earned.

I don’t mean to be misinterpreted when I point out these biases in scientific research. To their credit, the main people who have identified and raised alarm about the bias against non-liberals in academic papers have themselves been liberal social psychologists such as Jonathon Haidt. In fields that are outside of the social sciences or on the periphery, real bravery is often demonstrated in their defiance of orthodoxy. Perhaps my favorite treatment of Cultural Marxism came from a paper which starts by stating “putting aside political correctness” and then continues on to discuss multiple heretical topics and never references it again. Political correctness is mentioned only long enough to dismiss it as the irrational and fallacious sentiment that it is. This is a hopeful sign, but it must be noted that no serious efforts to actively alleviate the problem within the social sciences beyond talking about it have so far been undertaken.

I have a great respect for science generally and see it as the best method so far developed by humans to separate truth from fiction, at least when the core principles of scientific philosophy are actually followed. But the scientific establishment is still a human institution and therefore fallible. The community at times moves unacceptably far away from its core principles and this usually happens when research topics might have strong implications for an over-arching political ideology. The Lysenkoist effect of an overwhelmingly liberal character is just one problem. Another is that senior research scientists often spend as much or more time begging for money than they do actually trying to discover truth. Whether or not they actually get money is often dependent on how much they publish which creates an incentive to publish even if the research isn’t very good. Conforming to the political biases of other researchers thus constitutes a quick way to look better with lower quality research.

From the state of academia, it can be taken that the discrimination hypothesis has a great deal of influence on our current culture and the determination of public policy through the publication of questionable research. If the discrimination hypothesis is only partially true or largely wrong in the present, then social policies based on it are likely to be largely ineffectual and possibly harmful. Intelligence researcher Dr. Wendy Johnson has stated the importance of this possibility with reference to X linked intelligence succinctly,

Values create the emotionally charged climates pervading discussions of sex differences, making it difficult to evaluate scientific data objectively. Values are extremely important and appropriately form the basis of many actions and social contracts. But the laws of nature are not responsible to us or to our values and may not conform to them. It is important to understand the laws of nature as completely as possible within our circumstances in order to actualize our values as we intend. We can only develop coherent and realistic actions and social policies that will actualize our values if we understand the laws of nature as they exist.ii

Wicherts, J. Bakker, M. (2011) The (mis)reporting of statistical results in psychology journals. Behav Res Methods. 43(3): 666–678.

Franklin, K. (2011) Psychology rife with inaccurate research findings. Psychology today. http://www.psychologytoday.com/blog/witness/201111/psychology-rife-inaccurate-research-findings

Stoet, G., Geary, D. (2012) Can stereotype threat explain the gender gap in mathematics performance and achievement? Review of general psychology. Vol 16(1), 93-102

Wagenmakers, E., Wetzels, R., Borsboon, D., Van der Mass, H. (2011) Why psychologists must change the way they analyze their data: the case of psi: Comment on Bem. Journal of Personallity and Social Psychology. Vol 100(3). 426-432.

Makel, M., Plucker, J., Hegarty, B. (2012) Replications in psychology research: How often do they really occur? Perspectives on psychological science.Vol 7(6). 537-542.

Redding. R. (2013) Politicized Science. Society. Vol 50(5), 439-446

Haidt, J., Post-Partisan Social Psychology. http://people.stern.nyu.edu/jhaidt/postpartisan.html

Tierny, J. (2011) Social Scientist Sees Bias Within. New York Times. http://www.nytimes.com/2011/02/08/science/08tier.html?_r=5&ref=science&

Kemmelmeier, M. (2008) Is there a relationship between political orientation and cognitive ability? A test of three hypotheses in two studies. Personality and Individual Differences.Vol 45(8), 767–772

Morton, R., Tyran, J., Wengström, E. (2011) Income and Ideology: How Personality Traits, Cognitive Abilities, and Education Shape Political Attitudes. Univ. of Copenhagen Dept. of Economics Discussion Paper No. 11-08. Available at SSRN: http://ssrn.com/abstract=1768822 or http://dx.doi.org/10.2139/ssrn.1768822

Duarte, J., Crawford, J., Stern, C., Haidt, J., Jussim, L., Tetlock, P. (2014) Political Diversity will Improve Social Psychology. Behav Brain Sci. Vol 18. 1-54

Inbar, Y. & Lammers, J. (2012).  Political diversity in social and personality psychology.  Perspectives on Psychological Science, 7, 496-503.

Abramowitz, S. I., Gomes, B., Abramowitz, C. V. (1975), Publish or Politic: Referee Bias in Manuscript Review. Journal of Applied Social Psychology, 5: 187–200. doi: 10.1111/j.1559-1816.1975.tb00675.x

Ceci, S. J., Peters, D., Plotkin, J. K., Alan E., (1992). Human subjects review, personal values, and the regulation of social science research. Methodological issues & strategies in clinical research., American Psychological Association, 687-704

Crawford, J. T, Jussim, L., Cain, T. R., Cohen, F.  (2013).  Right-wing authoritarianism and social dominance orientation differentially predict biased evaluations of media reports.  Journal of Applied Social Psychology, 43, 163-174.

Munro, G. D., Lasane, T. P. and Leary, S. P. (2010), Political Partisan Prejudice: Selective Distortion and Weighting of Evaluative Categories in College Admissions Applications. Journal of Applied Social Psychology, 40: 2434–2462. doi: 10.1111/j.1559-1816.2010.00665.x

Rothman, S., Lichter, S. R., Nevitte, N. (2005) Politics and Professional Advancement Among College Faculty. The Forum. Vol 3(1). Article 2.

Harvard sex row and science. BBC News. Jan 18, 2005. http://news.bbc.co.uk/2/hi/uk_news/education/4183495.stm

Lallensack, R. (2014) UW to host first feminist biology post-doc program in the nation. The Badger Herald. http://badgerherald.com/news/2014/04/21/madison-host-first-feminist-biology-post-doc-program-nation-rl/#.VO5GIS6GN8H

Pinker, S. (2009  Letter from Steven Pinker to Aarhus University in defence of Prof. Nyborg, December 9, 2009. http://www.helmuthnyborg.dk/Letters-Of-Support/PinkerLetter.pdf

Nyborg, H. (2013) Danish Government Tries to Censor Science it Doesn’t Like. American Renaissance, November 14, 2013 http://www.amren.com/news/2013/11/danish-government-tries-to-censor-science-it-doesnt-like/

Thompsom, J., (2013) Helmuth Nyborg gets Watson’d. Psychological Comments. http://drjamesthompson.blogspot.com/2013/11/helmuth-nyborg-gets-watsond.html

Nyborg, H. (2003) “The Sociology of Psychometric and Bio-behavioral Sciences: A Case Study of Destructive Social Reductionism and Collective Fraud in 20th Century Academia.” The Scientific Study of General Intelligence: Tribute to Arthur R. Jensen.

Nyborg, H., The Greatest Collective Scientific Fraud of the 20th Century: The Demolition of Differential Psychology and Eugenics. The Mankind Quarterly. University of Aarhus (Retired, 2007)

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One of my favorite twitter accounts deleted (On peer review and social “science”)

Recently, one of my favorite twitter accounts was deleted. The name of the account was @realpeerreview and the main focus of this account was to take excerpts from truly retarded social “science” research papers and show how stupidly our tax money is being wasted. You can see an archive of his work here and an archive of the archive in case that goes down. I would read through all those. It is both hilarious and infuriating at the same time. Why does the public have to pay for such stupidity?

Of course, other social “scientists” didn’t like public attention to their “research” and threatened to doxx the individual broadcasting how atrocious most social “science” research actually is. These cockroaches prefer to stay in dark under the rug and don’t like anyone lifting up a corner. @realpeerreview was, I guess, left no choice but to back off because his career was possibly on the line. Some one else quickly snatched up the account name after finding out about this typically leftist hiding of the truth to continue on the good work. I don’t know if she will do as good a job, but I hope she can give them hell.

Anyway, just one more example why academia, at least in the humanities, should not be trusted at all. I have written on stuff like this before on how stereotype threat is bunk and how standardized tests are rigged against boys, however, it was nice to see how widespread the sickness is. It spans hundreds of papers and hundreds of topics. Defunding the humanities would wipe out 100 times more cancerous tumor than healthy tissue. It is time for some emergency surgery.

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Smart and SeXy

Smart and SeXy: The Evolutionary origins and biological underpinnings of cognitive differences between the sexes

The soft cover edition is available here. If you are on a budget you can also download the E-book. You can read the amerika.org review here and the counter-currents review here.

This is probably the most heretical work I have ever or will ever put to writing personally, and probably one of the most heretical things from the perspective of progressives, feminists and any other member of the cathedral available anywhere. If you want a no-nonsense (i.e., no feminism) description of sex differences, then you will probably enjoy the information contained within. If you have questions about what exactly the gender differences in intelligence are, by what fairly exact biological mechanisms they come about, and what potential evolutionary narratives explain what we observe, then this is the book for you. After reading this book you will not only know the current patterns of sex differences in intelligence as shown by psychometric tests, but why and how the underlying biology explains the patterns we observe. At the heart of the differences is both genetic and hormonal elements which work in concert to generate what we see on an every day basis. It has taken years of work (since 2011) and hundreds of hours invested in reading hundreds of dry academic papers to compile the more than 300 sources included, but I did so you can have the evidence all in one place and explained in lay terms. And perhaps most importantly, to have the evidence for gender differences in intelligence without muddying the waters with the foul taint of feminism.

At the heart of The Red Pill and the Dark Enlightenment, when thinking about women, is a kernal which grows to support everything else; all the theory on game, marriage, etc. All higher level knowledge is dependent on it. The fundamental concept, or more accurately the anti-concept, is the rejection of Equality. Egalitarianism just isn’t so. Men and women aren’t equal and they aren’t the same. Knowing they are not equal allows correct understanding of the world and relationships from successful one night stands to successful marriages. The entirety of the manosphere and red pill are dependent on this insight. The Dark Enlightenment is also dependent on this insight, but they expand it to include not only sex differences but ethnic differences as well.

Having that level of dependence on that initial small kernal can present a problem when it isn’t sufficiently supported by evidence. Though there is this and that study which suggests in a minor way that gender equality is false, it is my view that such information as bolsters the rejection of egalitarianism when it comes to men and women is lacking sufficient centralization within the manosphere and neoreactionary community. There may be thousands of individual blog posts on the topic, but mostly each one only addresses a small part of the big picture and getting the entirety of the picture from these diffused writings can be more difficult than it needs to be. The known facts are sufficiently dispersed, unorganized, and lacking in coherence that it makes the kernal a source of vulnerability to criticism from the outside. It is, as it were, a chink in our armor that needs to be addressed.

You might think “there is plenty of evidence.” Sure, there is. But, in all honesty, do we (the community more than geneticists) REALLY understand the mechanism? How exactly, at the molecular level, does inequality between men and women come about? It is an important question, and until it is answered so rigorously and thoroughly that it can’t be denied this will always be a vulnerability in our position. This is why I wrote this book. It is meant to be the titanium plate to cover our chink in the armor. This book coheres the currently available data into a single place and a single narrative that is relatively easy to access and difficult to refute. Moreover, and unlike most feminist theories, it presents a testable hypothesis. The genetic explanation for sex differences in intelligence I propose is something that biologists and geneticists can design experiments to test in order to prove or disprove. By making this hypothesis known to the mainstream it forces scientists to directly test the hypothesis. At least that is my hope. Prior evidence suggests what the result of such testing will be.

Another point of this book is to attempt to put to rest once and for all the idea that disparities in achievement between men and women have a chiefly cultural origin; they don’t. The differences between men and women are almost exclusively due to biology. Once society accepts that women aren’t going to ever achieve at the same rate as men, we can stop wasting time and resources promoting women, via affirmative action, into positions and occupations they are not suited for; thus saving a lot of effort and wealth that is currently getting wasted. We might also be able to get the birthrate back up to a more stable level and thus avoid demographic problems.

Lastly, to a certain extent it is meant to be a handbook for those who might be faced with deliberation on the topic and who need to quickly reference one type of study or another to demonstrate biological reality. I have made herculean efforts to make this as readable as possible and I believe I have done a good job with this, but I have placed greater emphasis on including as much relevant information with proper citations to credible journals as possible. I wanted to give people knowledge of which studies they need to cite for their particular argument or discussion in one convenient and accessible place.

Who to thank?

I owe some twisted gratitude to progressive academics who through their push to shun and silence me in the name of political correctness gave me the motivation I needed to write this book contrary to their culturally Marxist fantasies. On multiple occasions I have been personally screwed over by people holding that ideology because I was so audacious as to merely mention I had read The Bell Curve and found the points within to be worth consideration. I didn’t even claim to agree with it, just that it is a hypothesis which needs to be taken seriously. That is, I was trying to be an objective biologist which is what scientists are supposed to do. What we are trained to do in fact. There were also several situations (probably more actually) where similar points, but about gender instead of race, met with pretty much the same result. Though it didn’t end up mattering very much, I was rejected from one graduate school because the chairman of the department found out I had a conversation with another professor about the bell curve (that professor actually brought the topic up!). That chairman then projected onto me an argument he had with his daughter’s teacher where apparently the teacher said or believed something sexist. The bell curve only briefly talks about gender differences (a couple pages out of 849)…  What the teacher actually did was never very clearly explained. This guy was mad, and it had absolutely nothing to do with anything I said to him, and I got a nice rejection because of it. So ya, I got really pissed, and not for the first or last time. A string of situations just like this created a great resentment within me, which I am sure is quite true of many other people given the swelling of the red pill, the dark enlightenment and other internet phenomena. These prig prog “scientists” were being complete a**%^$!s about hypotheses which cover perfectly valid scientific questions, and which as I show in the book have a great deal of empirical support. If it hadn’t been for my naive faith in actual objectivity in science, and the subsequent confrontation with the progressive faith that actually exists in science that resulted, I almost certainly never would have cared enough to do any of this work. I may never have cared enough to find neoreaction. Yet those things did happen, and now neoreaction, the alt-right and the red pill have something available that they can use against left-wing creationists, should they desire to use it.

Confrontations like these have made me, and many others, heavily motivated to discredit feminism because their beliefs don’t match the facts and they witch hunt anyone and everyone who points that out. The best way to do that is with hard data and if I didn’t do it, I feared nothing else so comprehensive would have come out for years. Or if it did, it would be hidden in esoteric academic texts in obscure journals and even then it would be dressed in evasive and overly-qualified language. In fact, I would argue that there has been more than enough data available to discredit feminism for a very long time but paywalls for publicly funded research (don’t get me started on that) and a wide dispersion of everything relevant with substantial credibility has made it difficult to pull everything together. There are many, many papers which touch on the subject but none that I have been able to locate that brings it all together. And they definitely don’t come close to calling out progressives. Most try to appease the leftist mobs. To do this right takes an outsider, and it takes someone with an audience. I have a marginal audience, but the biggest help with spreading the information lies with my ties to the other neoreactionaries who have a much larger following. Likely, it will spread to the manosphere blogs due to the porous nature of the divide between neoreaction and that community. Or not, only time will tell.

Blog vs. book

There are a number of bloggers who write for years then decide after the fact to convert their posts into a book. In my case, I actually went the other direction. I had already had this book in progress for several years prior to starting this blog in 2014. A number of posts on this blog (not all) were either direct offshoots from work on this project or were indirectly inspired by my work on the book and later integrated as they were highly relevant to points I was making. Some changed little, while others changed significantly in the move. For the most part, my posts are shortened versions of what appears in the book and have less evidence, citations, and topics as a result of needing to make them stand alone away from the rest of the text. However, the most important part of the book, in my mind, is the large numbers of studies collected together from a wide variety of fields and which constitute the evidence for the biological origins of sexual dimorphism in intelligence. This includes both IQ test studies and the impact of the genetics and hormones on the brain and intelligence. This evidence is exclusive to the book. If you would like a taste of the content of the book before deciding whether or not you want it, I recommend you take a look at the following posts:

Career women are dysgenic

How standardized testing undervalues men

stereotype threat and pseudo-scientists.

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