My interview with Red Ice Radio on Smart and SeXy

Listen to the whole thing here. You can get a copy of the book here. Additional reviews and excerpts can be found here. Here is a summary of the first hour:

Roderick joins us for an eye-opening conversation on the biological differences between men and women. After a lighthearted rumination on International Women’s Day, we dive into the main topic of the show. Roderick explains that most scientists are aware of racial and sexual differences, but choose to keep quiet for the sake of their careers. Next, we discuss anthropologist Melvin Konner’s assertion that maleness is a defect – an absurd claim, to be sure, which Roderick easily refutes. We then discuss the discrimination hypothesis. Roderick argues that it is biological differences, not discrimination, that results in different outcomes for men and women. The first hour covers much more, including male-female differences in intelligence, transgenderism, and homosexuality.

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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

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

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