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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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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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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115 lb female “Fire Fighter”

There was a reddit thread in /r/fitness in which a 115 lb woman somehow qualified to undergo fire fighter training. Here is her original post(archive):

Hey Reddit!

So I accomplished a huge dream and kicked ass at my PAT today for fire school. I’m pretty short at 5’2 and 115lbs. I was the third person to finish out of a group of mostly guys on a 2 mile walk with an SCBA on in under 30 minutes which was brutal. As well as an obstacle course per se right after (climbing 5 story w high pack, raising 2.5 hose up, keiser sled, charged hose drag, dummy drag) that I completed in under four minutes with a 7 min time limit.

I am just wondering what exactly can I do to improve on my endurance and still be able to build strength? Should I run for a certain time and do weights after? Or maybe just do weights one day and run the next? I’d like to put on some muscle but not sure if cardio will make that difficult..

I was doing crossfit for a couple months before training with a fire dept who helped set up a course for me such as dummy drags and tire drags with a hose.

Fire school doesn’t start for another month so I just want to prepare while at home over xmas and can’t go to a crossfit gym or train with the fire dept where I’m at.

Thank you for any advice!!

EDIT: [this was added sometime after I interacted with the thread]

Thank you to those who actually gave sound advice!! There are some great replies on here I’ll definitely be trying out workouts suggested to help prepare myself even more!

I blew by men over twice my size who struggled immensely by not being prepared. It’s about heart and who’s willing to do the work to get themselves to that level.

I of course responded to this insane nonsense.

You are too small to carry someone out of a burning building. Your presence in a job you aren’t suited for risks the lives of people in very dangerous situations. The other fire fighters will not be able to depend on you to carry 100s of pounds with either the strength or endurance necessary, so it also puts their lives in danger.

Get out before someone dies because you aren’t up to the physical demands that are required. It isn’t your fault you aren’t suitable to be a fire fighter, you weren’t built for it. But it will be your fault for knowingly endangering your community and fellow fire fighters because of whatever stupid “girl power” propaganda you have been fed.

Many commenters responded to this common sense to inform me that I was an “asshole” and an “idiot” for pointing out the realities of human nature. For example:

It’s assholes like you that beat down the dreams of women willing to try that piss me off the most. Just because there are physical and mental differences between men and women doesn’t mean we don’t have a part to play. The ones willing to put up with your sort of shit and try are way more motivated than some guy who’s had this whole process made a lot easier by societal expectations.

Industries need to change and that includes professions like firefighting. It may be that she couldn’t ever carry your conceited ego down flights of stairs, but being small and feisty is certainly a trait that is worth a hell of a lot! Especially if she’s brace enough to enter buildings most of us would run from.

Stop letting your ‘facts’ about the differences between men and women blind you to the fact that we are tough, we care more, and we fight the status quo.

The only part you play is slowing down the men doing the actual work and making them work harder than they otherwise would have to. They have to pick up the slack for everything you can’t do because they are basically down a man.  “Small and feisty” translates to tiny, shrill and obnoxious bitch. I am not sure in what circumstances or by whom such traits are valued, but it isn’t in fire fighting. And not in wives for that matter. Lastly, I am advised to stop letting facts get in the way of the righteous fight for social justice because tiny women “care more”. Care more about larping as men than the potential victims of house fires is what I guess she meant. When past elites came up with the idea of negative eugenics, it is people like this they had in mind.

This comment thread generated quite a large amount of controversy as hyper-triggered SJWs fought tooth and nail with semi-motivated realists. I had a couple more comments, and there were a large number of other comments by other users both for and against my hate-fact mean-truth. Probably a 35/65 percent split (sigh, but it is better than it used to be in my experience). Unfortunately, thought-crime is illegal in weimerica and all of these comments were nuked, I was banned from /r/fitness (lol), and the entire comment thread was locked. There is no way for me to directly link to these comments since they have been removed, but if you go to the original thread and follow the instructions at “unedit” you can restore them for your viewing pleasure. You will have to scan for them though.

One enterprising user posted the following video, which demonstrates male vs. female ability in situations mimicking that of a fire fighter on the job using an actual female “fire fighter” alongside amateur males (this was also removed):

I was banned so quickly I didn’t have a chance to cite additional research. I fully intended to once I triggered enough people. In my book, Smart and Sexy: The Evolutionary Origins and Biological Underpinnings of Cognitive Differences Between the Sexes I actually devoted a chapter to physical differences because those too are actively denied in our culture with great negative consequences. And this is despite how much more obvious these differences are compared to the admittedly much more subtle mental differences. Our culture refuses to believe our lying eyes. I also didn’t even get into the financial waste of spending millions of dollars installing female bathrooms into fire stations in a major city such as Los Angeles. There were only 27 Female “fire fighters” in LA at the time this money was spent. Anyway, here are some excerpts from “Smart and Sexy” on female strength, endurance, and proneness to injury (all studies used are listed at the end of this post):

Differences in physical strength, endurance, and athletic proficiency are an order of magnitude more striking [than mental differences]. The average woman has only 52% of the upper body strength and only 66% of the lower body strength of the average man. Similar numbers are found when comparing muscular endurance. Another way to consider this difference is to look at the overlap in strength distributions between genders. When such a comparison is made, it turns out that only the strongest 2.5-5% of the female distribution overlaps with the male mean strength. Mirroring this, only the weakest 2.5-5% of male distribution overlaps with the mean female strength. One study which measured hand grip strength found that 90% of females had less hand grip strength than 95% of male group. The strongest control group female was surpassed by 2/3rds of the male control group. In the same study, female athletes who specially trained for sports they played were also considered. Even these athletically elite females only managed to reach the 25th percentile of untrained males on average. Seemingly though, cognitive dissonance knows no bounds because there are feminists who would deny this reality in the face of unambiguous and overwhelming evidence; not to mention plain common sense.

Percentage of Males and Female with a Given Handgrip Strength or More

 

The graph above compares maximum male and female grip strengths. At any given strength level the percentage of males or females who were able, when exerting maximally, to reach at least that minimum level of force or greater is shown. For example, all volunteers could exert more than 150 Newtons worth of force so 100% of males and females could exert that level of force or more. As the minimum required force increases, progressively fewer people have the strength to exert that force. Dotted lines are used to compare the strongest 5% of females (shaded area) to the male curve. It can be seen from this comparison that just over 90% of males are stronger than 95% of females. In other words, the strength differences between males and females are so large that their distributions barely overlap even at the tales. Neither males nor females in this group engaged in special athletic training.

Comparison of the Hand Grip Strength Distribution between Typical Males, Typical Females, and Elite Females

Above is a graph comparing the distribution of hand grip strength between typical males, typical females, and highly athletic females (i.e., elite females). Each distribution is divided into quartiles and each quartile is bounded by a horizontal black line. The grey area denotes 50% of the overall population (25th percentile to the 75th percentile). As can be seen from the graph, the strongest typical female is weaker than the male mean. Among the athletically trained female population, only the far tale of the distribution overlaps with the male mean. This indicates that even with training few women are able to attain a strength comparable with the untrained male population. This comparison does not include an athletically trained male population, but it can be expected that there would be little to no overlap with the female cohort if such a population was included. The shape of the curves were added as a qualitative representation of the relative population density at a given maximum strength where greater width indicates more of the population has that strength.

Data from Leyk, D., Gorges, W., Ridder, D., Wunderlich, M., Ruther, T., Sievert, A., Essfeld, D. (2007) Hand-grip strength of young men, women and highly trained female athletes. Eur J Appl Physiol (2007) 99:415–421

… [lack of physical aptitude in military recruitment, non-italics are a direct quote from a study listed at the end of this post]

At the time of enlistment, a seventeen-year-old female is expected to do thirteen push-ups, compared to thirty-five for males, while for forty-one-year-olds, the numbers are six and twenty-four, respectively. A seventeen year-old girl is expected to run two miles in nineteen minutes, forty-two seconds or less, which is twelve seconds more than a forty-one year old man gets. A forty-one-year-old woman has to “run” two miles in twenty-four minutes and six seconds, almost five minutes more than a man receives.

More than 50% of female trainees in the marines are unable to do even three pull-ups. Instead they are required to do a “flexed arm hang” for a minimum 15 seconds; a much less stringent requirement. Over all age ranges, women can only do about one third the number of pushups compared to men; 30 vs. 10. Men average 2-4 fewer minutes per mile on long distance running tasks (7 vs. 10 minutes for a 1 mile run and 16 vs. 20 on a 2 mile run). Women can only do 40 sit ups on average compared to the male mean of 60. Female recruits also tend to be less physically fit on average (i.e., they are fatter). One of the most remarkable reductions in standards is the lowered minimum throwing radius expected of women throwing grenades. Women are only expected to be able to throw a grenade 25 meters compared to 35 meters expected of males and many can’t even throw it that far. What happens if a female combat troop muffs her throw and gets everyone around her killed? That incurring this level of increased danger to troops is accepted is incomprehensible, and yet that is how things are actually done today.

…[female proneness to injury in the military]


 Beyond simply having less physical strength, the female body also appears much less suited to strenuous physical exertion. Multiple studies have all found similar results: Women are consistently and significantly more likely to be injured. During basic training, it can be expected that 50% of female recruits will develop some sort of injury compared to 27% of men (i.e., they are 1.8 times more likely to be injured). Women are 2.5 times more likely to develop injuries that lead to significant time loss from training. More than 50% of women are prevented from ever completing their training because of some sort of injury. This pattern has been stable since the 1970s.

Women are several orders of magnitude more likely to incur some specific injuries. For example, 1 in 367 female military personnel can be expected to suffer a pelvic stress fracture compared to only 1 in 40,000 men. This is unsurprising given that the female pelvis has evolved to accommodate childbirth, not heavy load bearing or other stresses. More generally, stress fractures occur about 10 times as often in women than men in the military. Depending on the study, ACL ruptures are between 2.4 and 9.7 more likely in women than in men. Overuse injuries, defined as an injury that results from extended, repetitive use of a specific body part, occur in 68% of women compared to 48% of men. The cumulative result of all of these injuries is that women must go to the doctor and seek medical care at 9.2 times the rate of men.

All these extra injuries constitute a huge additional immediate cost to military operations and can be expected to increase with additional female involvement in the military. However, the extra costs do not end in immediate medical costs. Injuries which cause sufficient damage result in physical disability discharges. Such discharges entitle the person who receives it to financial benefits for the rest of their lives. Consistent with their higher rate of injuries generally, women are 64% more likely to receive a physical disability discharge. And this was without them ever being intentionally exposed to combat situations at the time these studies were done. One year saw female disability discharge be as high as 140 per 10,000 female military personnel. In the same year, male disability discharge was only 80 per 10,000 male military personnel, despite the fact that they are more commonly exposed to dangerous and/or physically demanding tasks. Disability costs take up an absolutely staggering amount of the military budget. In 2001, 21 billion dollars was paid out in compensation to disabled military service personnel when all services are considered. 25% of this disability compensation budget is made as direct cash payments and this was the level of payments before the recent Iraq and Afghanistan wars even took place.

As a side note, I also summarized an anecdote recounted in Jared Taylor’s book “Face to Face with Race” [highly recommended] which digressed long enough to talk about a specific female fire fighter:

Strength isn’t the only problem, either. Gender differences in bravery and risk-taking also matter. Jared Taylor, in his book Face to Face with Race, digresses from the general focus of the book to discuss the story of a female fire lieutenant who was hired and then promoted, in complete disregard for any sensible, merit-based physical standards. The hiring and promotion of this woman, like most female fire fighters, was done by the fire department to meet politically inspired quotas. When her crew arrived to a fire, instead of doing the standard procedure of dragging the heavy hose into the house, breaking down the door to the room on fire, and putting it out, she became afraid and reminded the crew that she was in command and ordered them not to enter. They were to try to put it out from the outside. Of course this didn’t work and it wasn’t until a male chief from a different crew showed up, relieved the cowardly woman of command, and ordered the firefighters to do the correct thing that the fire was put out. Later, the female fire fighter had a nervous break down as a result of her now widely known incompetence among the other fire fighters. She was reported to have started hitting herself repeatedly as part of this. She also became enraged at the fire department and sued them for “discrimination.”

Its funny how anyone who spends genuine effort and time trying to learn about the realities of a situation like female fire fighters or military personnel, they automatically become an asshole, an idiot, and a moron. And then they get banned from polite society (and reddit sub-forums).

Bonus, the dutch version of survivor where the give men and women different islands with completely expected results:

Studies used in the sections quoted from the book:

Miller, A. E., MacDougall, J. D., Tarnopolsky, M. A., Sale, D. G. (1993) Gender differences in strength and muscle fiber characteristics. Eur J Appl Physiol Occup Physiol. 1993;66(3):254-62.

Meyer, L. G., Pokorski, T. L., Ortel, B. E., Saxton, J. L., Collyer, P. D. Muscular Strength and Anthropometric Characteristics of Male and Female Naval Aviation Candidates. Naval Aerospace Medical Research Laboratory.

Leyk, D., Gorges, W., Ridder, D., Wunderlich, M., Ruther, T., Sievert, A., Essfeld, D. (2007) Hand-grip strength of young men, women and highly trained female athletes. Eur J Appl Physiol (2007) 99:415–421

Browne, K. (2007) Co-ed Combat: The New Evidence That Women Shouldn’t Fight the Nation’s Wars. Sentinel. ASIN: B000W94H5I

 (2014) Marines delay female fitness plan after half fail pull-up test. Associated press.

Jones, B., Bovee, M., Knapik, J. (1992) Associations among body composition, physical fitness, and injury in men and women army trainees. National Academies Press. Body Composition and Physical Performance: Applications For the Military Services.

Frum, D. (2013) The Truth About Women in Combat. Daily Beast. http://www.thedailybeast.com/articles/2013/03/01/the-truth-about-women-in-combat.html

Jordan, B. (2014) Data Predict Spike in Female Troop Injuries. Military.com. http://www.military.com/daily-news/2014/01/13/data-predicts-spike-in-female-troop-injuries.html

Springer, B.A., Ross, A. (2011) Musculoskeletal injuries in military women. Borden Institute.

Bell, N.S., Mangione, T. W., Hemenway, D., Amoroso, P. J., Jones, B. H. (2000) High injury rates among female army trainees: a function of gender? Am J Prev Med. 2000 Apr;18(3 Suppl):141-6.

Department of the Army (2011) Prevention and Control of Musculoskeletal Injuries associated with Physical Training. Department of the Army.

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Smart and SeXy links

This post is stickied, scroll down for most recent post.

Smart and sexy is the definitive book on sex differences in intelligence. With over 300 citations of peer reviewed scientific articles, it describes the latest science on cognitive differences in the sexes without being hampered by political correctness or feminism. Reviews and excerpts are included below.

Original Announcement.

Availability:

Paperback and E-book

Interview:

My podcast interview with Red Ice Radio

Reviews:

Counter Currents: Why most high achievers are men [Deutsche Fassung]

Amerika [Also take a look at my interview with Brett Stevens.]

Excerpts:

Pseudo-science and bias in the academic establishment

Autism and the extreme male brain

Related Blog posts[Similar to book content, but not as detailed]:

Career women are dysgenic and How standardized testing undervalues men

Please also stop by reddit and subscribe to /r/darkenlightenment and /r/thedailymoldbug. Follow me on twitter and Gab. You can email me at Atavisionary AT gmail DOT com

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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.]:

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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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Smart and SeXy Kindle edition is now available for USD 6.95. Kindle Unlimited subscribers can download for free

Arktos has prepared and made available the kindle version of Smart and Sexy. Obviously this is available at a much cheaper price than the softcover version. However, the softcover version is also at a discounted price of USD 18.48 for the time being. I personally prefer having real paper to look at when I am reading, but it is hard to beat more than a 50% discount at USD 6.95. For those of you who wanted to take a look at Smart and SeXy, but thought it was too expensive, hopefully this option will be more amenable to you.

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