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Why Testosterone Does Not Cause Crime

1800 words

Recently, I’ve written at length on racial differences in testosterone and how the correlation between testosterone and physical aggression is .14. Pitifully low to account for the cause of crime and any overall differences in racial crime (that will be touched on at length in the future). Tonight I will show, yet again, why testosterone does not cause crime by looking at what times most crimes are committed by both adults and children under the age of 18. This will definitively put the ‘testosterone causes crime’ myth to bed for good.

Before I get into the time of day that most crimes are committed, I must talk about the production of testosterone in the body. There are no ‘genes for’ testosterone (although men who had three certain alleles had a 6.5 fold higher risk of having low testosterone; Ohlsson et al, 2011, I am unaware of there being a variation by race; over 10,000 Caucasian men were studied). There is, however, an indirect control of testosterone synthesis by DNA. DNA regulates the production of testosterone by coding for enzymes that convert cholesterol to testosterone (testosterone is a cholesterol-based hormone).

There are five simple steps to the production of testosterone: 1) DNA codes for mRNA; 2) mRNA codes for the synthesis of an enzyme in the cytoplasm; 3) luteinizing hormone stimulates the production of another messenger in the cell when testosterone is needed; 4) this second messenger activates the enzyme; 5) the enzyme then converts cholesterol to testosterone (Leydig cells produce testosterone in the presence of luteinizing hormone). That’s how testosterone is produced in the body. It is indirectly controlled by DNA.


Above is a graph from the Office of Juvenile Justice and Delinquency Prevention which shows the time of day that most crimes are committed. Notice how crime goes up as the time of day goes on and since kids are at school, they’re more likely to fight. This then peaks at 3 pm when kids are getting out of school.

Now look at rates of crime for adults. At its peak of 10 pm, it’s vastly lower than that of people under the age of 18, which is important to keep in mind. You can see how at 8 am that rates of crime are low for adults and high for kids, right when they would be entering school so there would be a lot of other kids around and the chance for violence goes up. Keep the times of 8 am (kids when they enter school), 12 pm (when most kids go on lunch) and 3 pm (when most kids get out of school) along with the hours of 12 pm to 8 pm for adults (when 74 percent of crimes are committed by adults).

The OJJDP writes:

  • In general, the number of violent crimes committed by adults increases hourly from 6 a.m. through the afternoon and evening hours, peaks at 10 p.m., and then drops to a low point at 6 a.m. In contrast, violent crimes by juveniles peak in the afternoon between 3 p.m. and 4 p.m., the hour at the end of the school day.
  • Nearly one-third (29%) of all violent crime committed by juvenile offenders occurs between 3 p.m. and 7 p.m. In comparison, 26% of all violent committed by adult offenders occurs between 8 p.m. and 12 p.m.

So since testosterone varies by day and levels are highest at 8 am and lowest at 8 pm (Brambilla et al, 2009; however testing men aged 45 years of age and older is fine before 2 pm due to a blunted circadian rhythm; Long, Nguyen, and Stevermer, 2015), then how could testosterone account for why men commit most of their crimes at night and why the crime that children commit spikes when they go to school, go to lunch and get out of school? The answer is that it doesn’t because testosterone does not cause crime. What testosterone does cause, however, are feelings of confidence and dominance, which does not—surprisingly—lead to increased aggression and assault on others (Booth et al, 2006).

What testosterone does cause, however, is social dominance and success, not physical aggression and maladjustment (Shcaal et al, 1996). The effects of environment are also more notable on testosterone than are genetics at 5 months of age (Carmaschi et al, 2010). Furthermore, aggressive behavior is first noticed in infancy and reaches its peak before school age (Tremblay et al, 2004; Cote et al, 2006). Though testosterone does seem to have an effect on aggression in preschool boys, however genetic and environmental causality has not been established (Sanchez-Martin et al, 2000).

Nevertheless, the meta-analyses I cited last week show that testosterone has an extremely low correlation of .14, so other factors must be at play. However, Sanchez-Martin et al (2000:778-779) also note that “Tremblay et al (1998) suggested that associations between testosterone titer and physical aggression are likely to be observed in contexts where such attack leads to social dominance. This may be true of the preschool boys in the present study. The data generated in the present study generally support Scerbo and Kolko (1994), who studied older children (7 to 14 years of age). They found a significant relationship between testosterone levels and aggression (as assessed by clinical staff).

It’s interesting to note that in the case of Scerbo and Kolko (1994) that after controlling for age and size, testosterone correlated with aggression when rated by staff but not parents or teachers. ‘Staff’ refers to clinic staff at a facility where the children were assessed for hyperactivity disorders. Of course, the staff would rate higher levels of aggression compared to parents of teachers—people who are around the children every day—since they would want a higher chance for diagnosis for certain drugs to ‘cure’ the hyperactivity, but I digress. Testosterone does not induce aggression in children, but it does induce social dominance and confidence which does not lead to aggression (Rowe et al, 2004; Booth et al, 2006).

There was also little difference in testosterone between socially dominant prisoners and aggressive prisoners (Ehrenkraz, Bliss, and Sheard, 1974). Furthermore, the testosterone increase leading to pubertal development in boys is not associated with increased aggression (Tremblay et al, 1998; Booth et al, 2006: 171). Indeed, increased body size is a marker for physical aggression in children, and I doubt these children have high muscle mass so, I assume, they have high levels of body fat and thusly lower levels of testosterone than they would have if they were leaner. Yet another strike against the ‘testosterone causes crime/physical aggression’ hypothesis.

Indeed, this has some implications for the honor culture hypothesis of why low-income blacks have higher levels of testosterone than similarly aged blacks with some college (Mazur, 2016). The patterns for crime as shown by the OOJDP shows that crime rises as the day progresses from the morning until its peak at 3 pm for children and then sharply declines while for adults it peaks at 10 pm.

Testosterone does increase when a challenge is issued; when one man feels his reputation is threatened, the propensity for violence is increased, but this was most notably seen in Southern men (Cohen et al, 1996). So the same would be said for this ‘culture of honor’ found in low-income black neighborhoods, the so-called ‘code of the street’ as stated by Anderson (1994: 88): “Moreover, if a person is assaulted, it is important, not only in the eyes of his opponent but in the eyes of his “running buddies,” for him to avenge himself. Otherwise, he risks being “tried” (challenged) or “moved on” by any number of others. To maintain his honor, he must show he is not someone to be “messed with” or “dissed.”

This culture of honor is found all over the world, including Brazil where homicide can be explained by the need to maintain honor and can be understood by taking into account cultural factors; biological, psychological and socioeconomic factors do not explain murder in Northeast Brazil as well as honor and culture (de Souza et al, 2015). People in honor cultures also have a higher chance of self-harm (Osterman and Brown, 2011) as well as a higher chance of committing violence in school (Brown, Osterman, and Barnes, 2009).

Testosterone does not cause crime; it does not cause aggression. Increases in testosterone before, during and after events are a physiologic process to prime the body for competition. As cited above, dominant behavior does not necessarily lead to violence in most cases, which may be surprising for some. Indeed, honor and culture may explain a nice amount of the homicide and violence rate in the South. Since testosterone is highest at 8 am and lowest at 8 pm and the rates of crime committed by adults and children are vastly different than the diurnal variance in the day, then testosterone does not cause crime and its increase is not associated with crime, but social dominance and confidence which does not lead to crime.

Hopefully—if anyone still believes testosterone to be the boogeyman its made out to be—I’ve put those misconceptions to rest. Racial differences in testosterone cannot be the cause of racial differences in crime—because there is either no statistical difference in testosterone between the races or the difference is non-existent. Testosterone is clearly a beneficial hormone—as I have extensively documented. Misunderstandings of the hormone are abound—especially in the HBD sphere—only due to literally a few paragraphs in a book (Rushton, 1997) and one study that showed blacks have higher testosterone than whites which was the cause of their higher rates of prostate cancer (Ross et al, 1986). The study is hard to find so I had to buy access to it. I will cover this in the future, but I discovered that they assayed the subjects when it was convenient for them—between the hours of 10 am and 3 pm—which is unacceptable. You cannot gauge racial differences in testosterone from a small study (n=50) and a non-representative sample (college students). For these reasons, the study should be thrown in the trash—especially when formulating evolutionary hypotheses.

Testosterone is one of the most important hormones for vital functioning. By knowing how it is processed in the body and that there are no ‘genes for’ testosterone (‘low testosterone genes’ notwithstanding) along with how testosterone has a low relationship with physical aggression one should not be scared of having high levels, on the contrary, one should be scared of having low levels. I have once again proven my case that testosterone is not related to violence in showing the diurnal variation in testosterone levels in adults, as well as the time of day that crimes are committed by both adults and children. High testosterone means high confidence and high dominance—and those two traits have a lot to do with masculinity—which do not lead to violence. 

I know why testosterone does not cause crime—because I have an understanding of the hormone, how its produced in the body and what its effects on the body are. The most important thing to note here, is that even if blacks had 15 percent higher testosterone than whites, it still wouldn’t explain higher rates of crime or disease such as prostate cancer. So those who try so hard to prove that blacks have higher levels of the hormone do so in vain, because even if they did it wouldn’t mean anything for any theories they may have. The myth of testosterone causing aggression and crime need to be put to bed for good.

Chewing the Cud

by Scott Jameson

RaceRealist and I have been ruminating on a lot of stuff lately. Here’s a fun one: what economic system works best relative to what we know about human health? In my mind there are two approaches: the libertarian approach, and quasi-fascism.

In the libertarian approach, there’s no regulation of sugar placed in our food. That’s already the case. But here’s an improvement: you don’t have to pay for anyone’s gastric bypass after they overeat that sugar.

In the fascist approach, there is regulation of sugar, because a fascist state does not allow people to poison each other for profit. You still have to pay for others’ medical expenses, but those expenses will be lower.

Here’s an advantage to the libertarian approach. In that society, the people who stuff their faces and refuse to get off the couch- who are dumber and lazier on average, probably- will have a higher mortality rate on average. Eugenics need not cost a dime.

But you run into a snag, sand in the gears of your hands-off system, when Big Food kicks out a whole bunch of crappy dietary advice, at which point a minority of reasonably intelligent people will be led astray, perhaps to the grave. How could a libertarian society stop that from taking place? Would it even bother? Could the system broadly work in spite of this snag?

A libertarian society doesn’t pay for idiots to have children. That’s good, but half of your population (women) are unlikely to ever support it. Women don’t do libertarianism; observe Rand Paul’s demographic Achilles Heel on page 25. When women asked men what to do about so-and-so’s eighth unpaid for child, we’d have to look them in the eyes and give a deadpan “let’s hope private charity can handle it.” There was a time, before FDR, when women would’ve accepted that answer. They were still in the kitchen back then, and I don’t know how to put them back there.

A fascist society has more hands-on eugenics, possibly genome editing or embryo selection. Also good. Expensive, but obviously worth it.

We welcome your input on these issues.


As an aside, White men are well-known as the most conservative, small government, nationalist group out there in our current political atmosphere. I always hear people spewing the schmaltziest nonsense about the values of the Founding Fathers. They were, relative to our political compass, nationalist libertarians. Accordingly, modern nationalists and libertarians do best with the exact same demographics that used to vote on candidates back then: property-owning White men. The sole reason that Ron and Rand Paul couldn’t get elected is that they are too similar to the Founding Fathers. Any other candidate who blathers on about the Founding values is simply a liar, and their obvious lies show a disrespect of your intelligence.

If you’re a libertarian, but not an ethno-nationalistic and patriarchal thinker, then you simply haven’t gotten the memo: women and minorities do not want to create the same world that you do, nor will they ever. Evolution gave us women who want social safety nets and other races which are better off if they parasitize off of your tax dollars. All of the most libertarian societies that ever existed (early US, ancient Athens, Roman Republic) were entirely run by White men, and adding women to the electorate gave us the welfare state. Aristophanes was right.


We’re also ruminating on the difference between IQ and expertise. I know of no mentally complicated task of which one can be a master without being intelligent. Take the IQs of chess grandmasters and you will find no morons.

Contrast that with purely physical activities. I bet you there are some really stupid people out there who are great at dancing for example. A prodigiously capable cerebellum may not predict an equally capable frontal lobe.

Discounting tasks which exclusively require things like simple physical coordination, muscle memory, etc, I ought to think that IQ is the biggest component of expertise.

Chaos and Nationhood with Blacks

 1900 words

By: Phil

When critics of the mainstream approach towards modern African-American grievance questions the agency of the population to improve their standards of living, they often cite either how minorities such as poor European immigrants of the Early 20th century assimilated better despite discrimination, or how Black immigrants from Africa occupy a higher mode of living.

While multiple factors contribute to the discrepancy, one caught my attention which struck me a paradoxical but soon started to make sense as I dug deeper. That trait being the lack of effective widespread “unity” among not just Black Americans but many other populations, especially those in Africa.

– The Situation

As for my titular use of “chaos” to describe it, I owe it to an Unz commenter who contrasted it from individualism or collectivism. For an intra-regional example, you have riots or protests regarding threats seen as pertaining to the racial mass, yet you have commonly cited the lack of the same regard for those killed by perpetrators of the same race.

From an inter-regional example I refer to the words of my father that, despite the beliefs of some, there is no “Black America” in which the interests or beliefs of blacks due to having comparatively looser connections than others based on a national level. This is noted by regional variance in ideology between blacks during the Progressive Era or better yet modern African conflicts, many of which can be classified as Christians versus Muslims on the larger scale yet can even be observed on a finer, pre-colonial level of identities (Osaghae and Suberu 2005).

There are numerous examples of pre-colonial migration, usually stimulated by wars or natural disasters, which have continued to generate bitter conflicts today owing to continuing discrimination against the immigrants by the original settlers. These include the eighteenth century mass migration of Oyo Modakeke into Ife in search of a safe haven from the internecine wars of the Oyo empire; the movement of Urhobo and Ijaw into Warri, where the Itsekiri claim to have been the original settlers; the migration of the Jukun-Chamba from Cameroon to parts of the present Taraba state, originally settled by the Kuteb; and the sixteenth century settlement of Hausa merchants in Zangon Kataf within a territory occupied by the Kataf (Isumonah 2003; Mustapha 2000). “

I attribute three reasons why this would be.

One being geography, as these behaviors are most notable with African nations that often overlap in cultural spheres despite living on a huge continent, and also how Black Americans probably covering the largest area relative to other New World African descent populations thus making diversification more enabled.

The second being the process of slavery in New World populations giving various forms of cultural transmission amongst black slaves by region who as well came through different tribes, either producing the typical “Scot-Irish” Black culture or a “Creole” culture, like the Gullah people of the South East. The Third, the Basal reason, being the effects of Genetic interests at hand as put by RR and how African Diversity works.


Here Razib Khan explains that when Foreign Admixture is removed, African diversity is higher among individuals than for major geographical groups.In other words, while geographically diverse, the actual organization of the diversity in the context of cultural boundaries is more stratified due to the lack of breeding, be it outbreeding or replacement involved in nations.

This suggestion is strengthened by famous blogger Jayman attributing this to the lack of large states in Africa to the lack of especially large states in Africa. Granted, you did have relatively large ones in the Sahel but the didn’t last as long as those in Eurasia, falling mainly due to internal struggles.

In the presence of cultural homogeneity, reflecting of a shared lineage, you see improvements in places such as Botswana (Tswana-Sotho) or Ghana (Akan people) partially due to better cultural, and thus likely genetic,  unity due to past nationhoods. Apparently, though for short duration, the Tswana formed a political body as large as France,

This is also consistent with the observations made by Sir Harry Hamilton Johnston, a famous colonialist researcher on African and US blacks, on African born blacks on the sea Islands of the South East, which he describes as of “Yoruba Stock” in semblance.

“Also they are when away from white influence inclined to sparsity of clothing-not nowadays a common trait in the United States negro. They are also pure negroes entirely without any infusion of white blood. Crime is very rare among them.The Negro in the New World by Harry Hamilton Johnston p. 470

A good modern example would be the demographics of West Africa Immigrants, being principally Akan of Ghana and the Yoruba or Igbo of Nigeria, who each come from relatively well constructed precolonial formations. What is also of note is how their prominence seems to be correlated to the extent in which Cousin Marriage is practiced, possibly reflective of the precolonial patterns of cousin marriage

Application for the U.S population in kin networks, where it does not work.

PP, in which he discussed the ethnocentrism of different groups, said this regarding blacks and kin altruism.

“And yet eventually these extremely different tribes mixed, and so you would have parents raising kids who have genetic variants very alien to their own, and this probably contributed to the breakdown of the black family: it’s harder for kin altruism to get selected when the kids you are altruistic to, don’t resemble you that much genetically because their other parent is so unlike you that they don’t inherit your high degree of kin altruism or inherit it as a recessive unexpressed trait.  And when kin altruism gets only weakly selected for, racial loyalty (which is probably just an outgrowth of kin loyalty) is probably weakly selected for too.”

Which would be incorrect. Yes, while crossing over does occur, a child would be overall close to their parent’s overall genetic background on the level of relatedness. Leaping from that neglected detail, he assumes from his evidence of “lack of racial loyalty” would that blacks have less ethnic nepotism and thus weaker kin altruism despite not taking into account of selection occurring within subgroups of various constructs like you see in Africa which would apply to families inside them.

If this theory was even supportable, one would expect the opposite that actually occurs with the percentage of Black children to return to relatives compared to White children.


“Of the 94,483 black children discharged from foster care, 12,860, or 13%, were discharged to a relative guardian. Of the 182,941 white children discharged from foster care in 2004, 20,453, or 11%, were discharged to a relative guardian.Of the 15,087 black children adopted from foster care, 4077, or 27%, were adopted by a relative. Of the 29,244 white children adopted from foster care, 5861, or 20%, were adopted by a relativeOf the 279,421 black kids living in foster care for some portion of the year, 69,888 or 25% were living with relatives. Of the 474,734 white children living in foster care for some portion of the year, 101,300, or 21%, were living with relatives.

So black children getting adopted from foster care are somewhat more likely to be adopted by relatives than white kids (27% vs. 20%), black kids exiting foster care are slightly more likely to be discharged to a relative guardian than white kids (13% to 11%), and black kids in foster care are slightly more likely to be living with relatives than white kids (25% vs. 21%). The differences support the hypothesis that blacks are more likely to utilize kinship care networks, but not by a lot, at least in regard to the foster care system.”

From Audacious Epigone, who also notes that despite the higher likelihood of such networks that doesn’t explain disproportion in foster care. Though evidence for IQ is at best moderate, interpersonal indicators were stronger (Azar, Stevenson, and Johnson 2012)).

“SIP problems were associated with direct measures of neglect (e.g., cognitive stimulation provided children, home hygiene, belief regarding causes of child injuries). Further, for the direct measures that were most closely linked to CPS Neglect Status, IQ did not add significant predictive capacity beyond SIP factors in preliminary model testing. Implications for intervention with PID discussed.”

This is possibly linked to EI scores found to differ between Whites and Blacks (Whitman, Kraus, and Rooy 2014)

“The present work examines applicant reactions to a test of emotional intelligence (EI) using an organizational sample of 334 job applicants. Results indicated that Blacks had higher face validity and opportunity to perform perceptions of EI than Whites, but that Whites performed significantly better than Blacks on the EI test. Although exploratory analyses revealed that test performance was positively related to test reactions, we also found that the magnitude of this relationship differed between Blacks and Whites for the opportunity to perform perceptions. We discuss our findings by offering practical advice for organizations considering or using a measure of EI for selection and assessment.”

Evidence for Kin networks is also supported by more data (Taylor 2013).

“Turning first to findings for family support networks, four significant differences were observed in this analysis. African Americans gave assistance to their family members more often than non-Hispanic Whites, were more likely to have daily contact with their extended family members than both non-Hispanic Whites and Black Caribbeans, and had more frequent interactions with their family than Black Caribbeans. Three general conclusions can be drawn from these findings for family assistance and interaction. First, these findings are consistent with prior work indicating that African Americans have similar or higher levels of involvement with kin than non-Hispanic Whites, but are inconsistent with reports that African Americans have lower levels of family support than Whites (e.g., Hogan et al., 1993). As noted in previous reviews of this literature (Sarkisian & Gertsel, 2004), comparisons across studies are problematic given important differences in the dependent variables used. The present study’s investigation of several dimensions of family support relationships (e.g., enacted support, emotional support, contact, negative interaction) in diverse groups of the population and using a common set of sociodemographic correlates clarifies the nature of race/ethnic differences in these relationships.”

It also found, however, weaker ties outside the family, which strengthen my suggestion of finer stratification of kin ties than just simply less selection.

“Several significant differences in friendship networks were observed in this analysis. Non-Hispanic Whites interacted with their friends and gave support to their friends more frequently than African Americans. Additionally, non-Hispanic Whites received support from friends more frequently than both African Americans and Black Caribbeans. Many of the differences between African Americans and non-Hispanic Whites could reflect basic differences in their levels of involvement in friendship networks. For instance, 16.7% of African-Americans, 16.1 % of Black Caribbeans and 9.7% of non-Hispanic Whites report that they never receive help from friends. Similarly, African Americans (11%) were twice as likely as non-Hispanic Whites (4.7%) to indicate that they hardly ever or never interact with friends. Lower levels of involvement with friends among African Americans could be due to estrangement from friends, isolation from friends or exclusive involvement with kinship networks (Ajrouch et al., 2001). Collectively, these results, and previous research (Griffin et al., 2006; Waite & Harrison, 1992), indicate that non-Hispanic Whites are more likely than African Americans to interact with friendship networks and to identify friends as an important source of support.”

This lack of support was not seen, however, with fictive kin or congregational members. So perhaps wither the perception of relationship or differences in genetic similarity may answer some of these questions.

What Caused Human Brain Size to Increase?

1900 words

People talk a lot about intelligence and brain size. Something that’s most always brought up is how the human brain increased in size the past 4 million years. According to PP, the trend for bigger brains in hominins is proof that evolution is “progressive”. However, people never talk about a major event in human history that caused our brains to suddenly increase: the advent of fire. When our ancestors mastered fire, it was then possible for the brain to get important nutrients that influenced growth. People say that “Intelligence is the precursor to tools”, but what if fire itself is the main cause for the increase in brain size in hominins the past 4 million or so years? If this is the case, then fire is, in effect, the ultimate cause of everything that occurred after its use.

The human brain consumes 20-25 percent of our daily caloric intake. How could such a metabolically expensive organ have evolved? The first hominin to master fire was H. erectus. There is evidence of this occurring 1-1.5 mya. Not coincidentally, brain size began to tick upward after the advent of fire by H. erectus. Erectus was now able to consume more kcal, which in turn led to a bigger brain and the beginnings of a decrease in body size. The mastery and use of fire drove our evolution as a species, keeping us warm and allowing us to cook our food, which made eating and digestion easier. Erectus’s ability to use fire allowed for the biggest, in my opinion, most important event in human history: cooking.

With control of fire, Erectus could now cook its foods. Along with pulverizing plants, it was possible for erectus to get better nutrition by ‘pre-digesting’ the food outside of the body so it’s easier to digest. The advent of cooking allowed for a bigger brain and with it, more neurons to power the brain and the body. However, looking at other primates you see that they either have brains that are bigger than their bodies, or bodies that are bigger than their brains, why is this? One reason: there is a trade-off between brain size and body size and the type of diet the primate consumes. Thinking about this from an evolutionary perspective along with what differing primates eat and how they prepare (if they do) their food will show whether or not they have big brains or big bodies. How big an organism’s brain gets is directly correlated with the amount and quality of the energy consumed.

There is a metabolic limitation that results from the number of hours available to feed and the low caloric yield of raw foods which then impose a trade-off between the body size and number of neurons which explains why great apes have small brains in comparison to their bodies. Metabolically speaking, a body can only handle one or the other: a big brain or a big body. This metabolic disadvantage is why great apes did increase their brain size, because their raw-food diet is not enough, nutritionally speaking, to cause an increase in brain size (Azevedo and Herculano-Houzel, 2016). Can you imagine spending what amounts to one work day eating just to power the brain you currently have? I can’t.

Energy availability and quality dictates brain size. A brain can only reach maximum size if adequate kcal and nutrients are available for it.

Total brain metabolism scales linearly with the number of neurons (Herculano-Houzel, 2011). The absolute number of neurons, not brain size, dictates a “metabolic constraint on human evolution”, since people with more neurons need to sustain them, which calls for eating more kcal. Mammals with more neurons need to eat more kcal per day just to power those brains. For instance, the human brain needs 519 kcal to run, which comes out to 6 kcal per neuron. The brain is hugely metabolically expensive, and only the highest quality nutrients can sustain such an organ. The advent of fire and along with it cooking is one of, if not the most important reason why our brains are large (compared to our bodies) and why we have so many neurons compared to other species. It allowed us to power the neurons we have, 86 billion in all (with 16 billion in the cerebral cortex which is why we are more intelligent than other animals, number of neurons, of course being lower for our ancestors) which power human thought.

The Expensive Tissue Hypothesis (ETA) explains the metabolic trade-off between brain and gut, showing that the stomach is dependent on body size as well as the quality of the diet (Aiello, 1996). As noted above, there is good evidence that erectus began cooking, which coincides with the increase in brain size. As Man began to consume meat around 1.5 million years ago, this allowed for the gut to get smaller in response. If you think about it, it makes sense. A large stomach would be needed if you’re eating a plant-based diet, but as a species begins to eat meat, they don’t need to eat as much to get the adequate amount of kcal to fuel bodily functions. This lead to the stomach getting smaller, and along with it so did our jaws.

So brain tissue is metabolically expensive but there is no significant correlation between brain size and BMR in humans or any other encephalized mammal, the metabolic requirements of relatively large brains are offset by a corresponding gut reduction (Aiello and Wheeler, 1995). This is the cause for the low, insignificant correlation between BMR and our (relatively large brains, which correlates to the amount of neurons we have since our brains are just linearly scaled-up primate brains).

Evidence for the ETA can be seen in nature as well. Tsuboi et al (2015) tested the hypothesis in the cichlid fished of Lake Victoria. After they controlled for the effect of shared ancestry and other ecological variables, they noted that brain size was inversely correlated with gut size. Perhaps more interestingly, they also noticed that when the fish’s’ brain size increased, increased investment and paternal care occurred. Moreover, more evidence for the ETA was found by Liao et al (2015) who found a negative correlation between brain mass and the length of the digestive tract within 30 species of Anurans. They also found, just like Tsuboi et al (2015), that brain size increase accompanied an increase in female reproductive investment into egg size.

Moreover, another cause for the increase in brain size is our jaw size decreasing. This mutation occurred around 2.4 million years ago, right around the time frame that erectus discovered fire and began cooking. This is also consistent with, of course, the rapid increase in brain size which was occurring around that time. The room has to come from somewhere, and with the advent of cooking and meat eating, the jaw was, therefore, able to get smaller along with the stomach which increased brain size due to the trade-off between gut size and brain size. Morphological changes occurred exactly at the same time changes in brain size occurred which coincides with the advent of fire, cooking, and meat eating. Coincidence? I think the evidence strongly points that this is the case, the rapid increase in brain size was driven by fire, cooking, and meat eating.

The rise of bipedalism also coincided with the brain size increase and nutritional changes. Bipedalism freed the hands so tools could be made and used which eventually led to the control of fire. Lending more credence to the hypothesis of bipedalism/tools/brain size is the fact that there is evidence that the first signs of bipedalism occurred in Lucy, our Australopithecine ancestor who had pelvic architecture that showed she was clearly on the way to bipedalism. There is more evidence for bipedalism in fossilized footprints of australopithecines around 3 mya, coinciding with Lucy, tool use and eventually the advent and use of fire as a tool to cook and ward off predators. Ancient hominids could then better protect their kin, have higher quality food to eat and use the fire to scare off predators with.

The nutritional aspect of evolution and how it co-evolved with us driving our evolution in brain size which eventually led to us is extremely interesting. Without proper nutrients, it’s not metabolically viable to have such a large brain, as whatever kcal you do eat will need to go towards other bodily functions. Moreover, diet quality is highly correlated with brain size. Great apes can never get to the brain size that we humans have, and their diet is the main cause. The discovery and control of fire, the advent of cooking and then meat eating was what mainly drove the rapid increase of brain size starting 4 mya.

In a way, you can think of the passing down of the skill of fire-making to kin as one of the first acts of cultural transference to kin. It’s one of the first means of Lamarckian cultural transference in our history. Useful skills for survival will get passed down to the next generation, and fire is arguably the most useful skill we’ve ever come across since it’s had so many future implications for our evolution. The ability to create and control fire is one of the most important skills as it can ward off predators, cook meat, be used to keep warm, etc. When you think about how much time was freed up upon the advent of cooking, you can see the huge effect the control of fire first had for our species. Then think about how we could only control fire if our hands were freed. Then human evolution begins to make a lot more sense when put into this point of view.

When thinking about brain size evolution as well as the rapid expansion of brain size evolution, nutrition should be right up there with it. People may talk about things like the cold winter hypothesis and intelligence ad nauseam (which I don’t doubt plays a part, but I believe other factors are more important), but meat-eating along with a low waist-to-hip ratio, which bipedalism is needed for all are much more interesting when talking about the evolution of brain size than cold winters. All of this wouldn’t be possible without bipedalism, without it, we’d still be monkey-like eating plant-based diets. We’d have bigger bodies but smaller brains due to the metabolic cost of the plant-based diet since we wouldn’t have fire to cook and tools to use as we would have still been quadrupeds. The evolution of hominin intelligence is much more interesting from a musculoskeletal, physiological and nutritional point of view than any simplistic cold winter theory.

What caused human brain size to increase is simple: bipedalism, tools, fire, cooking, meat eating which then led to big brains. The first sign of big brains were noticed right around the time erectus had control of fire. This is no coincidence.

Bipedalism, cooking, and food drove the evolution of the human brain. Climate only has an effect on it insofar as certain foods will be available at certain latitudes. These three events in human history were the most important for the evolution of our brains. When thinking about what was happening physiologically and nutritionally around that time, the rebuttal to the statement of “Intelligence requires tools” is tools require bipedalism and further tools require bigger brains as human brains may have evolved to increase expertise capacity and not IQ (more on that in the future), which coincides with the three events outlined here. Whatever the case may be, the evolution of human intelligence is extremely interesting and is most definitely multifaceted.

North/South Differences in Italian IQ: Is Richard Lynn Right? Part II

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In my first article on this matter, I showed how Richard Lynn claims the average IQ in Italy is around “89-92” for Sicily and the South and around 103 for the North. I showed how he was wrong and what data he overlooked to fit his hypothesis. Lynn’s 2011 article IQs in Italy are higher in the north: A reply to Felice and Giugliano was a reply to Myth and reality: A response to Lynn on the determinants of Italy’s North–South imbalancesFelice and Giugliano brought up Lynn’s four main theses: a) the South’s “economic backwardness” in terms of economics ‘throughout history’; b) the evidence provided by Lynn wasn’t enough to ‘prove’ a cause of lower IQ for S. Italians; c) the evidence provided by Lynn wasn’t enough to show that S. Italians score lower than N. Italians; and d) the supposed ‘high rates of MENA admixture’ in S. Italians. I blew up all of  these claims in the beginning of the year, more specifically I blew up up the claims about MENA admixture back in January. I’ll be going through Lynn’s 2010b article correcting any discrepancies. It’s worth noting that he still pushes the so-called ‘MENA admixture’ as being a substantial CAUSAL factor when there is NO evidence for this big of a ‘gap’ between the North and the South. The Lynn quotes will be from his 2010 paper linked above. I had also thought that ‘migrants’ from MENA countries could have contributed to the gap between the North and South, but since this isn’t the case for France then it shouldn’t be so for Italy. However, since Italy is a hub for these people when they first illegally enter Europe, they may stay and get counted as citizens and the children of these immigrants grow up and get accounted in the data. This is plausible, since a lot of ‘migrants’ may stay where they first get which is Southern Europe, mainly Sicily and Southern Italy.

We now present new data showing that IQs are higher in the north of Italy than in the south. In the previous study, data were presented for 12 Italian regions from the PISA (Program for International Student Assessment) 2006 study of the reading comprehension, mathematics and science performance of 15 year olds, regarded as measures of intelligence. We are now able to give similar data on the reading comprehension, mathematics and science performance of 15 year olds in 20 Italian regions obtained in the 2009 PISA study (OECD, 2010). These are given in Table 1. This shows, reading from left to right, the latitude of the Italian regions, the mean PISA scores for 12 regions for 2006 given in Lynn (2010a), the mean scores of 15 year olds on reading comprehension, mathematics and science understanding for the 20 Italian regions obtained in the 2009 PISA study, and the averages of the three 2009 PISA scores given because it provides a convenient summary of the scores on the three tests.

I already went through this in my previous article, but for clarity, I’ll go through this again.

Cornoldi, Giofrè, and Martini (2013) showed how there are problems inferring Italian IQ from the very PISA data that Lynn cites. There was a relevant decrease between the North and South. If the PISA test showed genetic proclivities between the North and South, why was there a relevant decrease in the three-year period? Because it is not an intelligence test, but a test of educational achievement. D’Amico et al (2011) conclude:

Our examination of intelligence test score differences between the north and south of Italy led to results that are very different from those reached by Lynn (2010a). Our results demonstrate that by using intelligence tests to assess differences in ability rather than using achievement scores as a proxy for intelligence, children from the south of Italy did not earn lower scores than those from the north of Italy. Rather, they were even higher in Raven’s CPM. However, we see no advantage in claiming that children in the south are “more intelligent” than children in the north, because these groups are different on a number of variables (e.g., environmental factors, educational influences, composition of the samples) that influence differences in test scores.

Either no difference or Southern Italians scored higher. When using purer measures of intelligence (Raven’s Progressive Matrices) so-called “differences” in “intelligence” disappear.

Lynn says:

It will be noted that the regional differences in both language and math ability increase with age. For example, in language ability the regional differences in the youngest children (P2) range between 1.6 and −3.8, a difference of 5.4, while the differences in the oldest children (2S) range between 3.6 and −4.4, a difference of 8.0. Similarly, in math ability the regional differences in the youngest children (P2) range between 0.8 and −1.0, a difference of 1.8, while the differences in the oldest children (2S) range between 4.3 and −5.4, a difference of 9.7. These age differences would be predicted from the thesis that the regional differences have a genetic basis, because the heritability of intelligence increases during childhood (Plomin, DeFries, & McClearn, 1980, p. 334).

On other measures of achievement, such as the INVALSI examinations, Southern Italians do not score lower, and in some cases may even score higher (Robinson, Saggino, and Tommasi (2011). Moreover, the N/S differences in ‘cognitive ability’ don’t exist at age 7, the IQ/income relationship didn’t exist in the past, and the MENA admixture in Southern Italians is minute (Daniel and Malanima, 2011). The so-called MENA admixture that Nordicists and Lynn like to say is the subject of my next point.

Lynn says:

Further data for the proportion of North African ancestry in the Italian regions are available in the frequency of the haplogroup E1b1b allele. This is a marker for North African ancestry, where it reaches frequencies above 50% and peaks at around 82% in Tunisia (Zalloua et al., 2008). The frequencies of the haplogroup xR1 and the E1b1b alleles are taken from Capelli et al. (2006), Capelli et al. (2007), Di Giacomo et al. (2003), Balaresque et al. (2010), Scozzari et al. (2001), and Semino et al. (2000). These data are given in columns 11 and 12 of Table 1 and the correlations between these and the other variables are given in Table 2.

As said and cited above, the so-called admixture from MENA populations in Southern Italians accounts for an extremely small fraction of the overall Southern Italian genome. The cause for lower achievement (“IQ” according to Lynn) in Southern Italians rests on this very pertinent point. And it’s wrong. Furthermore, and this is for Sicilians, the contribution of their genome by the Greeks is 37 percent, with the North African contribution being 6 percent. Daniel and Malanima (2011) ask ” Can the Greek heritage to the Western culture really be associated to a lower IQ?” The answer is, clearly, no. Moreover, a Central Italian province has the highest amount of MENA admixture, yet they have higher scores than Southern Italy. What does that tell you?

Richard Lynn’s Italian IQ data is garbage. Purer measures of intelligence such as Raven’s Colored Progressive Matrices show a decrease in the “intelligence gap” and in some cases, Southern Italians score higher than Northern Italians. When using measures of “IQ” from PISA data, these so-called differences disappear. Lynn’s data he cites in his 2010a paper don’t control for socio-cultural differences and school quality. There is numerous data that suggests the school quality in Southern Italy is worse than that of the North; this difference in school quality then affects educational achievement. Since PISA is a test of educational achievement and not intelligence (D’Amico et al, 2011), what accounts for these differences in achievement in the various studies may (and in my opinion, does) account for the differences in educational achievement between Northern and Southern Italians. The measurements in various studies may be influenced by the larger between-schools variability that is present in the South (Cornoldi et al, 2010; Daniel and Malanima 2011).

Finally, some people may point to the GDP differences between North and South Italy as proof of genetic/intelligence differences between them. However, the Mafia accounts for around a 20 percent drop in GDP in Southern Italy. To say that any differences in GDP can be accounted for without first controlling for things like this is dishonest. The presence of Mafia in areas shows lower growth and a sharper increase in murders. Each time homicides rise, GDP falls between 16-20 percent (Pinolli 2012). The presence of the Mafia had a devastating effect on the economies in that area between the 70s and 00s.

In sum, PISA is garbage to infer intelligence from as they are tests of achievement and not intelligence. Other tests of achievement show a decrease in the gap and/or Southern Italians scoring higher. Moreover, no substantial genetic differences exist between the North and the South, falsifying Lynn’s thesis for the causality of the differences between the North and the South. The oft-cited GDP difference between Northern and Southern Italy can be accounted for by the presence of the Mafia. Whenever the murder rate rises (due to Mafia activity), the GDP decreases. None of these factors have been taken into account and they explain the difference between the North and the South. It is environmental in nature–not genetic. Lynn’s Italian IQ data is garbage and should not be cited. It’s just a Nordicist fantasy that Southern Italians score lower than Nothern Italians.


Ethnic Differences in Sleep, Obesity, and Metabolic Syndromes

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Ethnic differences in the prevalence of obesity occur, majorly in part due to differences in the rates of metabolic syndrome (which is actually a few variables including high blood pressure, high blood sugar which leads to insulin resistance, excess visceral fat around the waist which is the ‘skinny fat‘ phenomenon, and abnormal blood pressure levels) and obesity. Ethnic differences in these variables do, in part, show how the three ethnies differ in rates of obesity. I will discuss the differences between each ethny in regards to metabolic syndrome and sleep and how it leads to the differences in ethnic obesity rates.

Sleep Differences

There is a ‘missing hour of sleep‘ when comparing blacks and whites. On average, blacks get 6.05 hours of sleep while whites get 6.85 hours of sleep. Of course, the same old racism argument comes up, which, if one ‘percieves’ discrimination, I wouldn’t doubt that it would have an effect on sleep due to a rise in cortisol, which affects sleep due to the raised levels making you restless and not able to fall asleepInsulin levels then rise due to the rise in cortisol, which is the cause of obesity.

Some studies may try to say that racism and other forms of discrimination are a factor, without even thinking of genetic factors. Another study that Frost cites says that duration of deep sleep and duration of stage 2 (light sleep) is correlated correlated in African Americans with perceived discrimination. The authors defined ‘perceived discrimination’ as the extent to which one believes that their ethnic group have been discriminated against by society. Still even when controlling for discrimination, there were still marked differences between blacks and whites and how long they slept.

Frost then talks about how sleep patterns are heritable and cites studies done on Africans in Africa. One study found that there was an hour sleep difference between Ghanaians and Norwegians on the week days and between a quarter to half hour less on weekends. He shows another study showing that Nigerian college students sleep 6.2 hours a day while getting 70-minute naps in the afternoon.

Frost concludes that the African sleep patterns is normal on Africa. Africans are more active during the cooler times of the day and sleep during the bitter periods. Frost says those who evolved in more northerly climes are particularly adapted to a certain sleep pattern with the same holding true for Africans.

However, these sleep patterns in first world countries have negative effects on metabolism and rates of obesity.

Here are some more studies showing that blacks sleep less than whites:

The sleep of African Americans: a comparative review: The researchers found that blacks take longer to fall asleep than whites, report poorer sleep quality, have more light and less deep sleep, and nap more often and longer. This is a huge recipe for risk factors for obesity, and it shows in their demographics.

Unfair Treatment is associated with Poor Sleep in African American and Caucasian Adults: Pittsburgh SleepSCORE Project: This is one of the studies spoken about above that show that discrimination leads to less sleep. Though, it holds for both black and white adults. The researchers conclude:

Taken together, the confluence of perceived unfair treatment as a chronic stressor and poor sleep and the interplay between the two may have critical roles in long-term health problems.

African Genetic Ancestry is Associated with Sleep Depth in Older African Americans: The researchers hypothesized that “racial differences in sleep phenotypes would show an association with objectively measured individual genetic ancestry in AAs.” They conclude that the slow wave sleep may have genetic underpinnings.

Mexican Americans sleep less than do Mexican immigrants. US-born Mexicans are 40 percent more likely to be short sleepers. This is attenuated by environmental factors such as smoking and stress, which shorten the duration of sleep (smoking decreases the Body Set Weight, whereas cortisol along with insulin in tandem increase it).

Also, in this study by Roane et al (2014) looked at the link between sleep disturbances and stress in Mexican Americans (average age 55) and non-‘Hispanic’ whites (average age 66). Mexicans reported higher levels of sleep disturbance (25 percent) compared to whites (17 percent). They conclude that disturbed sleep was positively correlated with depression.

So both blacks and Mexicans sleep less than whites. These differences in sleep between these three ethnies also affect the prevalence of obesity in these populations.

Obesity and Sleep

It’s long been known that poor sleep habits make people fat. This is due to the effects of insulin and cortisol. Increased insulin comes before increased cortisol–increased insulin is the cause for obesity. Sleeping less is linked to obesity. Since, as described above, the three ethnies differ in sleep patterns, the same also holds true for obesity rates (Ogden at al, 2014). The trends are as follows: 67.3% for whites, 75.6% for blacks, and 77.9% for Hispanics. Though, sleep is only one factor involved with obesity.

Getting adequate sleep is extremely important. Not doing so can lead to a myriad of negative health implications:

Sleep is an important modulator of neuroendocrine function and glucose metabolism and sleep loss has been shown to result in metabolic and endocrine alterations, including decreased glucose tolerance, decreased insulin sensitivity, increased evening concentrations of cortisol, increased levels of ghrelin, decreased levels of leptin, and increased hunger and appetite. Recent epidemiological and laboratory evidence confirm previous findings of an association between sleep loss and increased risk of obesity.

So a lack of sleep leads to an increase in ghrelin levels, decreased levels of leptin (the same effects as caloric restriction over time), increased appetite and hunger, increased evening cortisol (which insulin spikes then follow), decreased insulin sensitivity (the cortisol brings it back up and most people are insulin resistant independent of diet), decreased glucose tolerance, etc. We can see that these ethnic differences in sleep, which are partly genetic in nature, can and would have great effects on metabolism, contributing to the ethnic differences in obesity rates.

And from Harvard:

For example, in the Nurses’ Health Study, researchers followed roughly 60,000 women for 16 years, asking them about their weight, sleep habits, diet, and other aspects of their lifestyle. (2) At the start of the study, all of the women were healthy, and none were obese; 16 years later,women who slept 5 hours or less per night had a 15 percent higher risk of becoming obese, compared to women who slept 7 hours per night. Short sleepers also had 30 percent higher risk of gaining 30 pounds over the course of the study, compared to women who got 7 hours of sleep per night.

Damn!! This, pretty much, mirrors the black-white difference. I’d love to see a racial breakdown of this cohort and will keep an eye out for one, but in the meantime, those who were short sleepers had a 30 percent higher risk of gaining 30 pounds over the course of the study in comparison to women who got 7 hours of sleep per night. Blacks are the most likely group to be overweight and obese in the US, and this data from the Nurses Health Study (which tons of data can be drawn from this study) shows one reason why, however the driver is cortisol > insulin > processed carbs > increased insulin > insulin resistance > increased insulin > vicious cycle > obesity. These differences in sleep almost perfectly mirror the ethnic differences in obesity.

There are several possible ways that sleep deprivation could increase the chances of becoming obese. (1) Sleep-deprived people may be too tired to exercise, decreasing the “calories burned” side of the weight-change equation. Or people who don’t get enough sleep may take in more calories than those who do, simply because they are awake longer and have more opportunities to eat; lack of sleep also disrupts the balance of key hormones that control appetite, so sleep-deprived people may be hungrier than those who get enough rest each night.

Ah the old ‘exercise to increase the Calories Out part of the equation’. however, Calories Out does not stay constant. This also rebuts the ‘Eat Less and Move More’ CICO (Calories In/Calories Out) model of obesity, showing that because it doesn’t take insulin into account, it’s doomed to fail.

Speaking of insulin, it’s about time I focused on metabolic syndrome.

Metabolic Syndrome

As I discussed in a previous post, Race, Obesity, Poverty, and IQ, metabolic differences exist between race/ethnicity. ‘Hispanics’ metabolize carbohydrates differently, blacks have a lower fiber intake (increased fiber protects against obesity, another correlate) while whites have a more high fat diet. Contrary to popular belief, dietary fat doesn’t make you fat as it’s the macro that spikes your insulin the least.

Diaz et al (2005) showed that minority populations are more likely to be affected by diabetes mellitus which may be due to less healthy diets and/or genetic factors. Using the National Health and Nutrition Survey for 1999-2000, they analyzed overweight, healthy adults, calculating dietary intake variables and insulin sensitivity by ethnicity. They characterized insulin resistance with fasted insulin, as those who are more likely to become insulin resistant have higher fasted insulin levels (levels taken after waking, with the subject being told not to eat the night before as to get a better reading of fasted insulin levels). Non-‘Hispanic’ whites had higher energy and fat intake while ‘Hispanics’ had higher carb intake with blacks having lower fiber intake.  Blacks and ‘Hispanics’ were more likely to have lower insulin sensitivity. However, ‘Hispanics’ were more likely to have lower insulin sensitivity even after controlling for diet, showing that metabolic differences exist between ethnicities that affect carbohydrate metabolism which leads to higher rates of diabetes in those populations.

In ‘Hispanics’, several loci were discovered that play a role in hepatic (relating to the liver) fat content. Along with showing that ‘Hispanics’ have lower insulin (which due to low insulin, blood glucose builds up in the blood stream leading to diabetes) and showing that they metabolize glucose in the liver differently due to differing loci leading to more cases of fatty liver, this shows how and why ‘Hispanics’ have higher rates of Type II Diabetes Mellitus (TIIDM).

Since TIIDM affects Mexican Americans more, better measures to address their differences in carbohydrate metabolism need to be taken. Racial and ethnic differences in TIIDM are as follows:

7.6% of non-Hispanic whites

9.0% of Asian Americans

12.8% of Hispanics

13.2% of non-Hispanic blacks

15.9% of American Indians/Alaskan Natives

Whites eat a higher fat diet, which means a decrease in carbs. Asians eat white rice which spikes blood glucose eliciting a high insulin response leading to TIIDM, ‘Hispanics’, non-‘Hispanic’ blacks, and Indians and Alaskan Natives (I wish they separated Indians and Alaskan Natives as I’m almost positive that Alaskan natives have a lower rate) all eat high carb, low fat, low protein diets. Carbohydrates are a main staple, and since they spike insulin the most, they are the cause for obesity and TIIDM rates in these populations.

Turning my attention over to metabolic syndrome and blacks and whites, we can see that black women with PCOS have an increased risk for cardiovascular disease and metabolic syndrome in comparison to white women with PCOS. The researchers say that after controlling for age and body mass index (BMI) “black women with PCOS had a significantly increased prevalence of low high-density lipoprotein and high glucose. The general CVD risk was significantly increased in black adults with PCOS.” Though, a longitudinal study needs to be carried out to assess the independent impact of race and PCOS with CVD (Cardiovascular Disease).

Blacks have a higher chance to be diagnosed with metabolic syndrome since they are also at increased risk to have elevated blood pressure (hypertension), become obese, and be diabetic. This is due to their diet, which is due to their low IQ (obesity is correlated with intelligence), and different metabolism in comparison to whites.

There are also metabolic differences between race and sex. Fat oxidation is lower in black than white men and in African American men/women and white men/women, they have a lower metabolic rate!!! 24-hour energy expenditure is lower in black women in comparison to white women, whereas physical activity energy expenditure (PAEE) is the same as whites. Contrasted with women, black men had higher PAEE than white men. The authors conclude:

In conclusion, this comparative study of 24-h energy metabolism in African Americans and whites with use of a respiratory chamber not only confirms the previous findings from ventilated-hood studies of a lower resting metabolic rate, but also suggests a lower 24EE in African American women than in white women. Although only marginal ethnic differences in metabolic rate were found in men, African American men seem to have a lower rate of fat oxidation than do white men. The underlying mechanisms for these sex differences and the significance of these findings with respect to the development and maintenance of obesity remains to be investigated in longitudinal studies.

Metabolic Syndrome and Obesity

Seeing how the body acts when it has a lower metabolic rate due to the numerous confounders speaks for itself in regards to obesity. Metabolic syndrome does precede obesity a lot of the time. With insulin being one of the main drivers of metabolic syndrome, and with poor sleep being linked to metabolic syndrome, we can see how these factors combine to affect the health of the populations in question.
Sleep is a huge part of health, as it is important for brain activity among numerous other important factors. Not getting enough sleep causes the body to release hormones to make you eat more, hold more weight around your midsection (that’s one thing that cortisol does), have a decreased metabolism, and eventually leads to TIIDM. The fact that ethnies in America differ in metabolic syndrome and hours of sleep gotten per night shows that some of the obesity epidemic, both within and between race/ethnicity is genetic in origin due to carbohydrate metabolism and low insulin sensitivity independant of diet which raises insulin which then leads to obesity.


The Evolution of Morality

Summary: Moral reasoning is just a post hoc search for reasons to justify the judgments people have already made. When people are asked why, for certain questions, they find things morally wrong, they say they cannot think of a reason but they still think it is wrong. This has been verified by numerous studies. Moral reasoning evolved as a skill to further social cohesiveness and to further our social agendas. Even in different cultures, those with matching socioeconomic levels have the same moral reasoning. Morality cannot be entirely constructed by children based on their own understanding of harm. Thus, cultural learning must play a bigger role than the rationalists had given it. Larger and more complex brains also show more cognitive sophistication in making choices and judgments, confirming a theory of mine that larger brains are the cause of making correct choices as well as making moral judgments.

The evolution of morality is a much-debated subject in the field of evolutionary psychology. Is it, as the nativists say, innate? Or is it as the empiricists say, learned? Empiricists, better known as Blank Slatists, believe that we are born with a ‘blank slate’ and thus acquire our behaviors through culture and experience. In 1987 when John Haidt was studying moral psychology (now known as evolutionary psychology), moral psychology was focused on the third answer: rationalism. Rationalism dictates that children learn morality through social learning and interacting with other children to learn right from wrong.

Developmental psychologist Jean Piaget focused on the type of mistakes that children would make when seeing water moved from different shape glasses. He would, for example, put water into the same size glasses and ask children which one had more water. They all said they held the same amount of water. He then poured water from one glass into a taller glass and then asked the children which glass held more water. Children aged 6 and 7 say that the water level changed since the water was now in a taller glass. The children don’t understand that just because the water was moved to a taller glass doesn’t mean that there is now more water in the glass. Even when parents attempt to explain to their children why there is the same amount of water in the glass, they don’t understand it because they are not ready cognitively. It’s only when they reach an age and cognitive stage that they are ready to understand that the water level doesn’t change, just by playing around with cups of water themselves.

Basically, the understanding of the conservation of volume isn’t innate, nor is it learned by parents. Children figure it out for themselves only when their minds are cognitively ready and they are given the right experiences.

Piaget then applied his rules from the water experiment with the development of children’s morality. He played a marble game with them where he would break the rules and play dumb. The children the responded to his mistakes, correcting him, showing that they had the ability to settle disputes and respect and change rules. The growing knowledge progressed as children’s cognitive abilities matured.

Thus, Piaget argued that like children’s understanding of water conservation is like children’s understanding of morality. He concludes that children’s reasoning is self-constructed. You can’t teach 3-year-old children the concept of fairness or water conservation, no matter how hard you try. They will figure it out on their own through dispute and do things themselves, better than any parent could teach them, Piaget argued.

Piaget’s insights were then expanded by Lawrence Kohlberg who revolutionized the field of moral psychology with two innovations: developing a set of moral dilemmas that were presented to children of various ages. One example given was that a man broke into a drug store to steal medication for his ill wife. Is that a morally wrong act? Kohlberg wasn’t interested in whether the children said yes or no, but rather, their reasoning they gave when explaining their answers.

Kohlberg found a six-stage progression in children’s reasoning of the social world that matched up with what Piaget observed in children’s reasoning about the physical world. Young children judged right and wrong, for instance, on whether or not a child was punished for their actions, since if they were punished for their actions by an adult then they must be wrong. Kohlberg then called the first two stages the “pre-conventional level of moral judgment”, which corresponded to Piaget’s stage at which children judge the physical world by superficial features.

During elementary school, most children move on from the pre-conventional level and understand and manipulate rules and social conventions. Kids in this stage care more about social conformity, hardly ever questioning authority.

Kohlberg then discovered that after puberty, which is right when Piaget found that children had become capable of abstract thought, he found that some children begin to think for themselves about the nature of authority, the meaning of justice and the reasoning behind rules and laws. Kohlberg considered children “‘moral philosophers’ who are trying to work out coherent ethical systems for themselves”, which was the rationalist reasoning at the time behind morality. Kohlberg’s most influential finding was that the children who were more morally advanced frequently were those who had more opportunities for role-taking, putting themselves into another person’s shoes and attempting to feel how the other feels through their perspective.

We can see how Kohlberg and Piaget’s work can be used to support and egalitarian and leftist, individualistic worldview.

Kohlberg’s student, Elliot Turiel, then came along. He developed a technique to test for moral reasoning that doesn’t require verbal skill. His innovation was to tell children stories about children who break rules and then give them a series of yes or no questions. Turiel discovered that children as young as five normally say that the child was wrong to break the rule, but it would be fine if the teacher gave the child permission, or occurred in another school with no such rule.

But when children were asked about actions that harmed people, they were given a different set of responses. They were asked if a girl pushes a boy off of a swing because she wants to use it, is that OK? Nearly all of the children said that it was wrong, even when they were told that a teacher said it was fine; even if this occurred in a school with no such rule. Thus, Turiel concluded, children recognize that rules that prevent harm are moral rules related to “justice, rights, and welfare pertaining to how people ought to relate to one another” (Haidt, 2012, pg. 11). All though children can’t speak like moral philosophers, they were busy sorting information in a sophisticated way. Turiel realized that was the foundation of all moral development.

There are many rules and social conventions that have no moral reasoning behind them. For instance, the numerous laws of the Jews in the Old Testament in regards to eating or touching the swarming insects of the earth, to many Christians and Jews who believe that cleanliness is next to Godliness, to Westerners who believe that food and sex have a moral significance. If Piaget is right then why do so many Westerners moralize actions that don’t harm people?

Due to this, it is argued that there must be more to moral development than children constructing roles as they take the perspectives of others and feel their pain. There MUST be something beyond rationalism (Haidt, 2012, pg. 16).

Richard Shweder then came along and offered the idea that all societies must resolve a small set of questions about how to order society with the most important being how to balance the needs of the individual and group (Haidt, 2012, pg. 17).

Most societies choose a sociocentric, or collectivist model while individualistic societies choose a more individualist model. There is a direct relationship between consanguinity rates, IQ, and genetic similarity and whether or not a society is collectivist or individualistic.

Shweder thought that the concepts developed by Kohlberg and Turiel were made by and for those from individualistic societies. He doubted that the same results would occur in Orissa where morality was sociocentric and there was no line separating moral rules from social conventions. Shweder and two collaborators came up with 39 short stories in which someone does something that would violate a commonly held rule in the US or Orissa. They interviewed 180 children ranging from age 5 to 13 and 60 adults from Chicago and a matched sample of Brahmin children and adults from Orissa along with 120 people from lower Indian castes (Haidt, 2012, pg. 17).

In Chicago, Shweder found very little evidence for socially conventional thinking. Plenty of stories said that no harm or injustice occurred, and Americans said that those instances were fine. Basically, if something doesn’t protect an individual from harm, then it can’t be morally justified, which makes just a social convention.

Though Turiel wrote a long rebuttal essay to Shweder pointing out that most of the study that Shweder and his two collaborators proposed to the sample were trick questions. He brought up how, for instance, that in India eating fish is will stimulate a person’s sexual appetite and is thus forbidden to eat, with a widow eating hot foods she will be more likely to have sex, which would anger the spirit of her dead husband and prevent her from reincarnating on a higher plane. Turiel then argued that if you take into account the ‘informational assumptions’ about the way the world works, most of Shweder’s stories were really moral violations to the Indians, harming people in ways that Americans couldn’t see (Haidt, 2012, pg. 20).

Jonathan Haidt then traveled to Brazil to test which force was stronger: gut feelings about important cultural norms or reasoning about harmlessness. Haidt and one of his colleagues worked for two weeks to translate Haidt’s short stories to Portuguese, which he called ‘Harmless Taboo Violations’.

Haidt then returned to Philadelphia and trained his own team of interviewers and supervised the data collection for the four subjects in Philadelphia. He used three cities, using two levels of social class (high and low) and within each social class was two groups of children aged 10 to 12 and adults aged 18 to 28.

Haidt found that the harmless taboo stories could not be attributed to some way about the way he posed the questions or trained his interviewers, since he used two questions directly from Turiel’s experiment and found the same exact conclusions. Upper-class Brazilians looked like Americans on these stories (I would assume since Upper-class Brazilians have more European ancestry). Though in one example about breaking the dress-code of a school and wearing normal clothes, most middle-class children thought that it was morally wrong to do this. The pattern supported Shweder showing that the size of the moral-conventional distinction varied across cultural groups (Haidt, 2012, pg. 25).

The second thing that Haidt found was that people responded to harmless taboo stories just as Shweder predicted: upper-class Philadelphians judged them to be violations of social conventions while lower-class Brazilians judged them to be moral violations. Basically, well-educated people in all of the areas Haidt tested were more similar to each other in their response to harmless taboo stories than to their lower-class neighbors.

Haidt’s third finding was all differences stayed even when controlling for perceptions of harm. That is, he included a probe question at the end of each story asking: “Do you think anyone was harmed by what [the person in the story] did?” If Shweder’s findings were caused by perceptions of hidden victims, as was proposed by Turiel, then Haidt’s cross-cultural differences should have disappeared when he removed the subjects who said yes to the aforementioned question. But when he filtered out those who said yes, he found that the cultural differences got BIGGER, not smaller. This ended up being very strong evidence for Shweder’s claim that morality goes beyond harm. Most of Haidt’s subjects said that the taboos that were harmless were universally wrong, even though they harmed nobody.

Shweder had won the debate. Turiel’s findings had been replicated by Haidt using Turiel’s methods showing that the methods worked on people like himself, educated Westerners who grew up in an individualistic culture. He showed that morality varied across cultures and that for most people, morality extended beyond the issues of harm and fairness.

It was hard, Haidt argued, for  a rationalist to explain these findings. How could children self-construct moral knowledge from disgust and disrespect from their private analyses of harmlessness (Haidt, 2012, pg. 26)? There must be other sources of moral knowledge, such as cultural learning, or innate moral intuitions about disgust and disrespect which Haidt argued years later.

Yet, surprises were found in the data. Haidt had written the stories carefully to remove all conceivable harm to other people. But, in 38 percent of the 1620 times people heard the harmless offensive story, they said that somebody was harmed.

Haidt found that it was obvious in his sample of Philadelphians that it was obvious that the subjects had invented post hoc fabrications. People normally condemned the action very quickly, but didn’t need a long time to decide what they thought, as well as taking a long time to think up a victim in the story.

He also taught his interviewers to correct people when they made claims that contradicted the story. Even when the subjects realized that the victim they constructed in their head was fake, they still refused to say that the act was fine. They, instead, continued to search for other victims. They just could not think of a reason why it was wrong, even though they intuitively knew it was wrong (Haidt, 2012, pg. 29).

The subjects were reasoning, but they weren’t reasoning in search for moral truth. They were reasoning in support of their emotional reactions. Haidt had found evidence for philosopher David Hume’s claim that moral reasoning was often a servant of moral emotions. Hume wrote in 1739: “reason is, and ought to be only the slave of the passions, and can never pretend to any other office than to serve and obey them.”

Judgment and justification are separate processes. Moral reasoning is just a post hoc search for reasons to justify the judgments people have already made.

The two most common answers of where morality came from are that it’s innate (nativists) or comes from childhood learning (empiricists), also known as “social learning theory”. Though the empiricist position is incorrect.

  • The moral domain varies by culture. It is unusually narrow in western education and individualistic cultures. Sociocentric cultures broaden moral domain to encompass and regulate more aspects of life.
  • People sometimes have gut feelings – particularly about disgust – that can drive their reasoning. Moral reasoning is sometimes a post hoc fabrication.
  • Morality can’t be entirely self-constructed by children based on their understanding of harm. Cultural learning (social learning theory, Rushton, 1981) not guidance must play a larger role than rationalist had given it.

(Haidt, 2012, pg 30 to 31)

If morality doesn’t come primarily from reasoning, then that leaves a combination of innateness and social learning. Basically, intuitions come first, strategic reasoning second.

If you think that moral reasoning is something we do to figure out truth, you’ll be constantly frustrated by how foolish, biased, and illogical people become when they disagree with you. But if you think about moral reasoning as a skill we humans evolved to further our social agendas – to justify our own actions and to defend the teams we belong to – then things will make a lot more sense. Keep your eye on the intuitions, and don’t take people’s moral arguments at face value. They’re mostly post hoc constructions made up on the fly crafted to advance one or more strategic objectives (Haidt, 2012, pg XX to XXI).

Haidt also writes on page 50:

As brains get larger and more complex, animals begin to show more cognitive sophistication – choices (such as where to forage today, or when to fly south) and judgments (such as whether a subordinate chimpanzee showed proper differential behavior). But in all cases, the basic psychology is pattern matching.

It’s the sort of rapid, automatic and effortless processing that drives our perceptions in the Muller-Lyer Illusion. You can’t choose whether or not to see the illusion, you’re just “seeing that” one line is longer than the other. Margolis also called this kind of thinking “intuitive”.

This shows that moral reasoning came about due to a bigger brain and that the choices and judgments we make  evolved because they better ensured our fitness, not due to ethics.

Moral reasoning evolved for us to increase our fitness on this earth. The field of ethics justifies what benefits group and kin selection with minimal harm to the individual. That is, the explanations people make through moral reasoning are just post hoc searches for people to justify their gut feelings, which they cannot think of a reason why they have them.

Source: The Righteous Mind: Why Good People Are Divided By Politics and Religion

Black American Men with More African Ancestry Less Likely to Be Obese

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Black American men are the least likely male ethnic group to be overweight or obese in America (69.2 percent) compared to ‘Hispanic’ men (78.6 percent) and white men (71.4 percent) (Ogden et al, 2014). As a result of being less likely to be obese, black men as a whole suffer from diabetes and other diseases that are correlated with higher body fat. Conversely, for women the rate for white women is 63.2 percent, 77.2 percent for ‘Hispanic’ women and 82.4 percent for black women. Why do black men have lower rates of obesity and chronic health diseases?

Klimentidis et al (2016) set out to find why black men have lower rates of obesity than black women despite having the same socioeconomic and environmental factors. Using 2814 self-identified African Americans from the Atherosclerosis Risk in Communities study, they estimated each individual’s degree of African ancestry using 3,314 genetic markers. They then tested whether sex modifies the association of West African genetic ancestry and body mass index, waist circumference, and waist to hip ratio. Also, they adjusted for income and education as well as examined associations of ancestry with the phenotypes of males and females separately. They recreated their results with the Multi-Ethnic Study of Atherosclerosis (n= 1611 AA).

They discovered that West African ancestry is negatively correlated with obesity as well as central obesity, which is obesity around the midsection, among black men but not black women. Also noted, was that black men with more African ancestry had a lower waist to hip ratio and less central adiposity than black men with less African ancestry. They conclude that their results suggest that a combination of male gender and West African ancestry is correlated with protection against central obesity and suggests that a portion of the difference in obesity (13.2 percent difference) may be due, in part to genetic factors. The study also suggests that there are specific genetic and physiologic differences in African and European Americans.

This study confirms two things. 1) Black women are more likely to be obese than black men as well as the general population. 2) Black men have less of a chance of becoming obese or overweight as well as less of a chance of incurring the risks that come along with being obese or overweight. The degree of African ancestry is the cause in both black men and black women for these differences in the rate of overweight and obese individuals in both populations. One of my theories also got confirmed. Since obesity is partly genetic in African Americans, and black girls have an earlier menarche (period) than white girls due to higher body fat which activates the hormone leptin, which precedes an increase in body fat to prepare for eventual menstruation, I theorize that black girls have earlier menarche than white girls due to r/K Selection Theory. It’s an evolutionary advantage to be able to have children earlier, as the population dies younger.

Evolutionarily speaking, black men needed to be more fit in order to protect the clan from predators. This is also why blacks evolved narrower hips (Rushton, 1995). Higher body fat allows for more protection for a baby in vitro, which is why an increase in leptin precedes an increase in body fat, which then causes black girls to have an earlier puberty.

One of the questions I would like answered is whether it’s the actual degree of African ancestry that is the cause of black men being less likely to be obese or it’s the cause of higher degree of European ancestry. European American men do have a slightly higher risk of being overweight or obese than African American men, so there is some credence to this hypothesis. Three SNPs were found to be correlated with obesity in African American populations as well as European American populations; this could be one cause.

Wagner and Heyward (2000) discovered biological differences exist between blacks and whites. They reviewed the literature on the differences between blacks and whites in fat-free body mass (water, mineral, and protein) fat patterning and body dimensions and proportions. Blacks, in general, have greater bone mineral density and body protein content than do whites, resulting in lower fat-free bone density. They also note racial differences in the differences of subcutaneous body fat, which is the body fat that’s just below the skin, as opposed to visceral body fat which is found in the peritoneal cavity, which can be measured with calipers to give a rough estimate of total body fat adiposity. The conclusion reached in the study was that differences in FFB (fat-free body) was statistically significant between blacks and whites. They also have a greater BMC (bone mineral content) and BMD (bone mineral density) than do whites. They also argue that for a given BMI (body mass index), blacks might have less adiposity because they tend to be more mesomorphic. Researchers push for the development of racial-specific equations to better see differences in FFB.

With the above study noting that there is a substantial difference between blacks and whites in FFB, there may be some truth to a negative effect of European ancestry on blacks in terms of obesity acquisition. However, lower FFB in black men is one reason why black men can’t swim as well as whites.

One of the causes for both racial and gender discrepancies in obesity is genetic in origin. The difference between black men and black women is 13.2 percent whereas for white men and white women the difference is 8.2 percent. There is a clear genetic difference between races that is the cause for this discrepancy. Black men and black women have the same socioeconomics status and live in the same environment, so some of the differences in obesity noticed in this population must be genetic in origin.

Freedman et al (2004) observed that, as expected, black men were more likely to choose heavier figures as an ideal body for women than white men. Also expected was that both groups would choose figures with a low waist to hip ratio, but black men would choose a lower waist to hip ratio as ideal. They also show weight to be a more important cue than waist to hip ratio in mate selection as well as supporting the theory that black men’s preferences may serve as a protective factor against eating and body image pathology in black women.

To give an example of the above study in action, we can look at Mauritania. They force feed their women up to 16,000 kcal a day in an effort to make them obese, as that’s what is seen as attractive in their society. Mauritanian love songs also describe the ideal woman as fat. Obesity is so celebrated in their society that parents beam at the fact that their daughters look obese, as they have a better chance of getting partners.

The higher the degree of West African ancestry in black men, the lower the chance they have for obesity. I do wonder, though, if it’s because they have less European ancestry or because they have more African ancestry. Black men with more African ancestry are less likely to be obese than black men with less African ancestry, so there is a correlation there that I would like to see explored in the future. Differences in fat-free body mass have been noticed between blacks and whites, but this is one of the first studies to my knowledge that shows that genetic differences between black men and black women may be part of the cause for obesity differences in that population. Cultural differences in perception of beauty, of course, come into play in regards to differences between black and white men, however, the cause of black women having higher rates of obesity is due in part to genetic factors, which then leads to black men liking that as their beauty standard.

Islam, Suicide Bombings, IQ and Consanguinity

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A lot of people seem to confuse causes between ‘Islam’ and behavior that’s just ‘low IQ’. Whenever these attacks like shootings, sexual assaults and rapes happen, that’s due to their low IQ; not religion. I wrote about this in IQ, Inbreeding and Clannishness. All of the behavior you see is due to low IQ. 1) being in an area with a hot climate and 2) cousin marriage has been going on there ever since Jews from the Levant introduced it to them around 200 BC. To quote myself:

Those innate behaviors which result in the favoring in all areas of life, themselves and their family, is a result of genetic similarity because of the closely related genes they share (the father’s brother’s daughter type is the most common in the Muslim world). Also, first and second cousin marriages are more common, which also result in increased altruism for their own family because of the close genetic similarity, but also those in their own group, which is mediated by the brain hormone oxytocin.

In a paper on the mean IQ of Muslims and non-Muslim countries, Donald Templer states that the Muslim world, which used to be have great intellectual achievements from the 7th to 12th centuries, has seen an underrepresentation in highly creative contributions in science journals. This is because of the inbreeding effect (2.5 to 10 point drop in IQ) of close cousin marriage. He ends up saying that genetic factors are more important than social/cultural/religious values (back to the inbreeding, causing defects and lowering IQ) in regards to IQ.

I also put a map of individualism and collectivism in Europe here. You can see that the collectivist countries are fighting back more. The countries/regions where it’s more red roughly matches up to the situation. You can see how in Central, Northern and Northwestern Europe they’re more individualistic, as well as more atheist, than those collectivist countries. So that leads to what we see with this ‘welcome refugees’ signs, as well as, I would assume, more oxytocin in the brain for Europeans, which leads to more altruism towards other peoples. Of course, 1000 years ago, the high altruism was fine due to being a mostly homogeneous society. But when others move in who are not from the area, and who do not have the same biology as you due to certain selection pressures, that’s when the ‘clash of cultures’ commences. Which it’s not really a clash of culture, more like a clash of biology, because 2 groups who shouldn’t live together are being forced to live together.

This also brings me to people who confuse the causality between Islam and blacks. As I said, it’s a low IQ religion (which I have provided enough evidence for my case). So blacks who become Muslim do so because of low IQ. Anything after that doesn’t mean that being a Muslim had them do it. Lets say that Islam never popped up and the same peoples were still there, continuing such close inbreeding, would that be Islam doing it? No. It’s their biology. **

Using environmental factors (Islam, culture) is what leftists do. In my post on behavior not equaling genes plus environment, I showed how people create their own environments based on their own genetics. The environment we put ourselves in is based on our genetics. We can clearly see that Islam is bringing their culture (genetics) to Europe and are incompatible with Europe as well as all Western societies around the world. Due to this, we can see that wherever any population goes, it will be the same from the original place they emigrated from if migration in large enough numbers occurs. A country is only as good as its majority population.

In Non-Western People are Abnormal to Our SocietiesI showed how due to differing cultures (genetics), these third-world immigrants coming into our countries cannot readily assimilate due to differing average IQs and other hormones that lead to crime differentials with the native population. Though Arabs are Caucasian, evolving closer to the equator lead to higher levels of testosterone as more exposure to the sun increases vitamin D levels, which is not a vitamin but actually a steroid hormone. These differences in testosterone then lead to more sex attacks with high testosterone combined with low IQ. Lower IQ people are less likely to be virgins than higher IQ people. This shows that higher IQ people have less testosterone and can also hold back urges more than lower IQ people. This then translates over to an increase of sexual assaults by ‘migrants’ to European women. These ‘abnormalities’, though, would be abnormal anywhere. Putting differing cultures (genetics) in a place with a completely different culture will lead to strife due to genetic distance between the two populations.

I wrote in Evolutionary Reasons for Suicide Bombings that Muslims who suicide bomb do so to increase inclusive fitness. The increase in inclusive fitness comes about due to the suicide bomber having no prospects as well as no kids, so he/she is just taking up resources. By committing suicide, they are freeing resources for others who have a better chance to spread their genes. Many suicide bombers come from middle-class backgrounds, which further proves the case for genetic interests being the cause for this. The majority of Al-Qaeda members come from educated, middle-class backgroundsEven for Palestinian suicide bombers, none of them were poor, uneducated, simple minded nor depressed.

The average IQ for a criminal is 85 adult offenders, 92 for juvenile offenders. What’s the average IQ in the Middle East? 81, around 1.3 SD lower than average, and 4 points lower for chronic adult offenders in America. The lower IQ comes from being more inbred, which then manifests itself in the crime rate. The strife in the middle east can also be traced back to IQ and consanguinity rates in those populations. How inbred a population is predicts IQ as well as how much strife occurs in those populations.

Germany has said they will begin IQ testing their ‘migrants’. If it works well (I highly doubt it will, and if it is, it won’t be implemented well) this could curb some attacks that happen. Since IQ differences between populations are one of the biggest causes for crime differentials (lower IQ is also correlated with higher testosterone) between them, screening for and only allowing high IQ ‘migrants’ in would curb some violent crime and sex attacks if implemented on a wide enough scale. IQ differences between populations are one of the biggest reasons for differences between any population you can think of.

For a comparison, we can use Christian Arabs. Christian Arabs are less inbred than Muslim Arabs, which shows in the amount of terror attacks committed by Christian Arabs, which I can’t find any data for. If anyone has found any, leave a comment. hbdchick then says this about consanguinity between Christian Arabs and Muslim Arabs:

so, the rate of cousin-marriage amongst lebanese christians was 16.5% while the rate for muslims approached double that at 29.6%.

christians married cousins more distant than first cousins at a slightly higher rate than they did first cousins: 8.6% (>1C) versus 7.9% (1C). muslims, on the other hand, favored first cousin marriage: 17.3% (1C) versus 12.3% (>1C). this is a similar pattern found elsewhere in the middle east/arab world. in egypt, for instance, copts tend to marry second cousins while muslims tend to marry first cousins (no, i can’t find the reference!).

there was also more fbd marriage amongst muslims (6.4%) versus christians (3%).

This is directly mirrored in how often we hear about Christian Arab attacks and crime (I haven’t heard of this), showing that consanguinity rates can predict crime rates. Due to this extreme inbreeding, they are more genetically similar, which leads to higher amounts of altruism for their own group, in turn leading to derogation of the out-group. Europeans are, on average, less inbred than Muslims. This is why it’s said that Muslims are incompatible with our societies. They are more clannish and altruistic for their own. Like JP Rushton said, groups will proliferate ideas that are good for their genetic interests.

Even more evidence can be shown with Chechen inbreeding. I can’t find any data on Chechen IQ, so lets use the closest country to Chechnya, which is Georgia with an average of 94. Since inbreeding can depress IQ 2.5 to 10 points, Chechnya’s average IQ should be somewhere around the mid-80s. This shows similarity with the consanguinity rate. hbdchick then concludes:

it’s no wonder, then, that they still engage in blood feuds (just like the albanians). you’d half expect them to build tower houses for protection during clan disputes like the albanians or the maniots.

oh, wait.

Muslim (Arab) populations are incompatible to Western societies due to how inbred they are. Their own societies are built on their genetics, which they then bring to the West and attempt to bring what they’re running from to their new host country.

In conclusion, whenever people say “it’s Islam doing it”, it’s low IQ behavior. Those with lower IQ are more likely to be drawn to Islam. Islam developed after 1300 years after the start of Arab inbreeding.  We can draw, from IQ from American criminals, that 85 is the sweet spot for criminality, and since criminality is correlated with low IQ more so than any other variable you can think of. A good example of this is a low IQ person coaxed into committing a crime. It’s an obvious biological difference, the sociopolitical garbage is just that, garbage. The biology drives the politics. Consanguinity rates are one of the biggest factors. You should be concerned with the biology aspect.

Note: When I say “Muslim” I mean Arab. I am also not attempting to “apologize” for terror attacks. I’m simply looking at it through the lens of evolutionary psychology. Most people who read this blog know why Africans act the way they act, and African “migrants” are no different.

There Is Such a Thing As a “Male” and “Female” Brain

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Towards the end of last year, it was said that “male and female brains don’t differ“. Male and female brains differ from the number of neurons to differences in that affect intelligence, to differences in temperament and differences in the hormones testosterone and estrogen. Other than accounting for differences in physical appearance between the sexes, the differences between the sexes in the two hormones accounts for brain differences as well. This is yet another blank slate argument, years after cognitive neuroscience affirmed that behavior is rooted in the brain and that we are not in fact “blank slates”, these same old and outdated arguments keep being pushed, of course, in part due to the growing number of “transgenders” and an influx of non-western people who are abnormal to our societies. This attempt to have the general public to believe that we have minds of Silly Puddy (to borrow a phrase from Steven Pinker) is an attempt to have us accept all of the things that get pushed on us through the media.

You may have read that having a male brain will earn you more money.

Men do make more money than women, and this isn’t the cause of the imaginary gender pay gap. Even Thomas Sowell, the liberal icon has refuted this myth. Men make more money than women due to, which I will get to below, higher intelligence.

Or maybe that female brains are better at multitasking.

Anecdotal evidence suggests it. Evolutionary evidence suggests it. Studies suggest it. But ever since the Jewish feminist push in the 20th century, this strive for egalitarianism between the sexes became mainstream, which helps to still keep the notion of “blank slatism” alive.

The idea that people have either a “female” or “male” brain is an old one, says Daphna Joel at Tel Aviv University in Israel. “The theory goes that once a fetus develops testicles, they secrete testosterone which masculinises the brain,” she says. “If that were true, there would be two types of brain.”

Anyone else surprised that someone from Tel Aviv University is making these claims? Are we supposed to believe that testosterone doesn’t affect the brain? Are we supposed to believe that higher testosterone, higher estrogen and other biologic differences in brain structure don’t account for behavioral differences between the sexes?

We have data that this is the case, though:

Sex steroid hormones exert a profound influence on the sexual differentiation and function of the neural circuits that mediate dimorphic behaviors. Both estrogen and testosterone are essential for male typical behaviors in many species. Recent studies with genetically modified mice provide important new insights into the logic whereby these two hormones coordinate the display of sexually dimorphic behaviors: estrogen sets up the masculine repertoire of sexual and territorial behaviors, and testosterone controls the extent of these male displays.

Control of masculinization of the brain and behavior (Wu and Shah, 2010)

To believe that testosterone doesn’t cause masculinization of the brain will have to have one deny all of the literature out there. Why people believe that sex differences, as well as racial/ethnic differences, are rooted in experience and not biology is truly mind boggling.

“There are not two types of brain”

And below this, they basically say that the “gender fluid” phenomenon is ‘ok’. Differences between individual boys and girls and individual men and women are extremely evident just by casual observation, so to attempt to say that individual brains cannot be shown to have full-on male or female characteristics is insincere. The fact that, as shown above, testosterone mediates the masculinization of the brain, we can see that these differences in brain structure do exist, and are accounted for by exposure to testosterone invitro, which then cause the differences in the brains of men and women.

Although the team only looked at brain structure, and not function, their findings suggest that we all lie along a continuum of what are traditionally viewed as male and female characteristics. “The study is very helpful in providing biological support for something that we’ve known for some time – that gender isn’t binary,” says Meg John Barker, a psychologist at the Open University in Milton Keynes, UK.

Gender is binary. Female and male characteristics do exist. Males and females differ in certain structures of the brain as seen in a study reviewing over 20 years of the study of sex differences in the brain.

“Across all kinds of spatial skills, we find very, very few that are sensitive to sex,” says Hausmann. “We have also identified spatial problems where women outperform men – the black-and-white idea of a male or female brain is clearly too simple.”

The sex differences on spatial skills tests are rooted in brain structure. Researchers measured a 10 percent difference between men and women in overall amount of parietal lobe surface area. Since how we process information is obviously a result of cognitive processes in the mind, differences between the sexes in brain structure show how men and women can differ in certain cognitive tasks. Of course, some spatial problems can be women can outperform men on some spatial tasks,  no one disputes that. However, what the average battery of tests shows is that men have higher visio-spatial intelligence than men.

Alexandra Kautzky-Willer, head of the Gender Medicine Unit at the Medical University of Vienna in Austria, agrees that things aren’t so simple. “There are differences between men and women when you look in large groups, and these are important for diagnosis and treatment,” she says. “But there are always more differences within genders. We always need to look at culture, environment, education and a person’s role in society,” she says.

Just like there “is more difference within race than between them”, right? Culture is a product of genetics and IQ, we put ourselves into certain environments based on our genes, education is largely heritable, a person’s worth to society is based on IQ and the Big Five personality traits, which are at least 50 percent heritable, all of which are rooted in brain processes.. Those factors don’t prove that there are no differences between the brains of the sexes because all of them can be explained, in part due to genetic factors.

These findings, they claim, say that it’s impossible to say what features a person’s brain will have based on the known sex of the brain. With differences in gray matter, brain size and other regions in the brain, we can definitively say whether or not the brain is male or female. Sure some outliers will occur, but the overall bulk, we would see that the sex would be guessed with a super majority being correct.

Joel envisions a future in which individuals are not so routinely classified based on gender alone. “We separate girls and boys, men and women all the time,” she says. “It’s wrong, not just politically, but scientifically – everyone is different.”

Here we are with the point of this article: to attempt to normalize this trend of degenerate behavior that the media pushes which begins to permeate our society. Chromosomal differences between men and women show the sex differences. X means woman, Y means man. Some may point to some anomalies, but anomalies occur in nature all the time and are not a representative of the population.

This also shows with differences in brain size, that causes a difference in IQ between men and women. The study found that men had brains that were, on average, 8 to 13 percent larger than women’s. Since we know that the IQ/brain size correlation is .35, more often than not, men will have higher IQs than women due to  having slightly larger brains. And the data is consistent with the finding that men and women have slightly differing IQ scores, which shows in the difference in average brain volume between men and women.

In JP Rushton’s refutation to Steven Jay Gould’s revised edition of The Mismeasure of Man, he states that Gould claims that when accounting for body size and age that the difference in brain size drops from 182 grams to 113 grams, then invokes unspecified age and body size parameters and that accounting for these differences then the sex difference in brain size will vanish. Ankney (1992) reexamined the autopsy data of Ho et al (1980) and found that uncorrected for body size, the difference between men and women’s brains was 140 grams; After correcting for body size, the difference between men and women was 100 grams. This shows that around 30 percent of the difference between men and women in brain size is attributed to body size.

In this review, Rushton did state that men and women had the same scores on tests of intelligence and that this provided a paradox due to the differences in brain size between men and women and similar IQ scores. However, Rushton and Jackson (2006) showed that men and women differ by 3.63 IQ points on average, among a multitude of other strong correlates with the difference in IQ scores.

Men have 23 billion neocortical neurons, women with 19 percent less, at 19 billion (Pakkerson and Gunderson, 1997). Seeing as cortical neuron activity moderates perception in the brain, the differences in neocortical neurons affect other processes and mental faculties in the brain as well.

All of these brain differences then manifest themselves in cultural achievement between men and women.

Charles Murray (2003), in his book Human Accomplishment shows differing societies’ human accomplishments and how these differences in human accomplishment have shaped our society today. He gathered data on women Nobel Prize winners from 1901-2000 and found this:

Women Nobel Prize

Women Nobel Prize 2

Murray states on p. 273, 274 and 275 that women have an underrepresentation in the sciences. You would figure, if this so-called “white cis male patriarchy” was out to have women be underrepresented, they wouldn’t have allowed the feminist movement to come full-swing in the early 1900s. Well, the numbers on women Nobel Prize winners from 1901-1950 is: 2 percent sciences total, 4 percent chemistry,2 percent medicine, 2 percent physics and 11 percent literature with a 4 percent representation in total. From 1951-2000, it was 2 percent sciences total, 1 percent chemistry, 4 percent medicine, 1 percent in physics and 8 percent in literature for a total of 3 percent.

Now, this does show women’s high verbal ability at play with regards to the number of literary Nobel Prizes’ they have, but this shows that after the Feminist Movement, that when they got ‘equality’, they failed to produce the same as men. This data corroborates what I noted earlier: that there is a significant amount of cortical neuronal difference between men and women, there is a 3.63 IQ point difference between men and women on average, and finally the data on Nobel Prizes corroborates this information.


The Defense Ministers of Sweden, Norway, the Netherlands, and Germany embody what is going on at the moment in these countries with the ‘migrant’ crisis. We can see with Russia’s aversion to the scenario currently happening in Europe, that with their Defense Minister, these things that are currently happening in those aforementioned countries won’t happen in Russia.

This is shown in how men and women’s overall leadership capabilities, ability to lead meetings and differing managing strategies. All of these differences, of course, are due to brain differences between men and women.

Women are more emotional than men due to biology, so in times of war with a woman Defense Minister, since men and women differ in inductive and deductive reasoning traits, women won’t be deductive, which is a logical process in which a conclusion is drawn from multiple premises that are assumed to be true, which men excel at. Women, however, excel at inductive reasoning, which is making broad generalizations from specific observations. It seems that in war time, deductive reasoning would be better, seeing as the conclusion is drawn from things that are assumed to be true. Men make better leaders than women because, since, on average, men don’t think with their emotions while women do.

Men and women’s brains differ on the individual level, of course, like all things between groups, sexes, and individuals. The push to deny human nature, and in turn, invoke a blank slate argument even in the face of science is shown in the way that our society is headed. Between differences in brain size, scholastic achievement, IQ, brain weight, Nobel Prizes, neocortical neurons and other gender-specific differences, these innate differences in brain structure manifest themselves in society and the types of jobs women want and acquire. Women cannot lead as well as men and while they ‘lead differently’, the best type of leader to have is a man as men think with logic and facts whereas women think with emotion, on average.