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Last year I bought The Genius in All of Us: New Insights Into Genetics, Talent, and IQ (Shenk, 2010) and while the book is interesting and I agree with a few things he says, he gets it horribly wrong on athleticism and ethnicity. Some of it I may be able to forgive since the book was written in 2010, but he does make some glaring errors. Chapter 6—pages 100-111—is titled Can White Men Jump? Ethnicity, Genes, Culture, and Success.
In the beginning of the chapter, Shenk writes that after the 2008 Beijing Summer Olympics, many articles were written about the Jamaican women who took the top three spots in the 100 and 200m races, with the emergence of Usain Bolt and his record-setting performance. Shenk (2010: 101) writes:
The powerful protein [alpha-actinin-3] is produced by a special gene variant called ACTN3, at least one copy of which is found in 98 percent of Jamaicans—far higher than in many other ethnic populations.
An impressive fact, but no one stopped to do the math. Eighty percent of Americans also had at least one copy of ACTN3—that amounts to 240 million people. Eighty-two percent of Europeans have it as well—that tacks on another 597 million potential sprinters. “There’s simply no clear relationship between the frequency of this variant in a population and its capacity to produce sprinting superstars,” concluded geneticist Daniel MacArthur.
I have written about MacArthur’s thoughts on the ACTN3 variant—that he helped discover, no less—in an article on Jamaicans, Kenyans, and Ethiopians and the explanatory factors in regard to their success in running competitions. Though, the article from MacArthur was written in 2008 and Shenk’s book was written in 2010, considerable advances have been made in this field. It was found that “combined effects of morphological and contractile properties of individual fast muscle fibers attribute to the enhanced performance observed in RR genotypes during explosive contractions” (Broos et al, 2016). Of course when talking about sprinting and morphology, you must think of the somatype. The somatype that is conducive to running success is a tall, lanky body with long limbs, as longer limbs can cover more distance. So European runners don’t have the right somatype, nor are the XX genotype for the ACTN3 variant high in Jamaicans (this genotype is present in ~2 percent of the Jamaican population; Scott et al, 2010). This—among other reasons I have laid out in the past—are why Jamaicans excel in sprinting competitions compared to other ethnic groups.
Shenk (2014: 10) further writes that sports success seem to come in ‘geographic clusters’, and the field of sports geography has been developed to understand it. “What they’ve discovered is that there’s never a single cause for a single cluster,” Shenk writes. “Rather, the success comes from many contributions of climate, media, demographics, politics, training, spirituality, education, economics and folklore. In short, athletic clusters are not genetic, but systemic.” Shenk then discusses the fact that these explanations are not good enough and that some ‘sports geographers’ have transformed themselves into ‘sports geneticists’ and then cites Jon Entine’s 2002 book Taboo: Why Black Athletes Dominate Sports and Why We’re Afraid to Talk About It where Shenk quotes Entine who quotes geneticist and physiologist Claude Bouchard who says that “these biological characteristics are not unique to West or East African blacks. These populations are seen in all populations, including whites” (Shenk, 2010: 102). Of course they’re not unique to one population and I don’t think that anyone has ever claimed that. Though the frequencies of these biological, morphological and physiological characteristics are not distributed evenly amongst populations and this explains how and why certain populations excel in certain sports when compared to others.
Shenk (2010: 102) also quotes Entine (2002), writing: “Entine also acknowledges that we haven’t actually found the actual genes he’s alluding to. “These genes will likely be identified early in the [twenty-first century],” he predicts.” We have ‘found some genes’ that aid in athletic performance, the ACTN3 genotype combined with type II fibers and the right morphology, as mentioned above for one. (Though a systems view—one of holism—makes much more sense here than a reducionist view. You must look at the whole system, not reduce things down, but that’s for another day.) That, in my opnion, is a large driver for ethnic differences in sports like this, because you need certain traits if you want to excel in these types of competitions.
He then discusses the success of the Kenyans in distance running—stating that 90 percent of Kenyan runners come from a small subset of Kenyans called the Kalenjin. He cites a few stories of some Kalenjin who talk about their experiences with no running water in their homes and that they had to “run to the river, to take your shower, run home, change, [run] to school . . . Everything is running” (Keino, a Kalenjin boy, quoted from Shenk, 2010: 104). Of course this is attributed to a multitude of factors, all of which have to work in concert to get the desired effect. For instance, sports psychologists have found that strong cultural achievement and the ability to work hard, compete, outdo others and seek new challenges drives their running dominance.
Shenk (2010: 106-107) then writes:
1.DESPITE APPEARANCES TO THE CONTRARY, RACIAL AND ETHNIC GROUPS ARE NOT GENETICALLY DISCRETE.
Skin color is a great deceiver; actual genetic differences between ethnic and geographic groups are very, very limited. All human beings are descended from the same African ancestors … [blah blah blah] … By no stretch of the imagination, then, does any ethnicity or region have an exclusive lock on a particular body type or secret high-performance gene. Body shapes, muscle fiber types, etc., are actually quite varied and scattered, and true athletic potential is widespread and plentiful.
Of course, I don’t think I have ever read anyone who denies this. However, as I’ve noted too many times to count, certain body types and muscle fiber distributions are more likely to be found in certain populations due to where their ancestors evolved recently, and so the fact that ‘actual genetic differences between ethnic and geographic groups are very, very, limited’ does not mean much when talking about dominance by a few populations in elite sporting competition. It just so happens to be the case that the somatypes and muscle fiber distributions that are conducive to running success are more likely to be found in populations of West and East African descent. This is an undeniable fact. (Also note how these ‘appearances to the contrary’ show how race is real.)
2.GENES DON’T DIRECTLY CAUSE TRAITS; THEY ONLY INFLUENCE THE SYSTEM.
Consistent with other lessons of GxE [Genes x Environment], the surprising finding of the $3 billion Human Genome Project is that only in rare instances do specific gene variants directly cause specific traits or diseases. …
As the search for athletic genes continues, therefore, the overwhelming evidence suggests that researchers will instead locate genes prone to certain types of interactions: gene variant A in combination with gene variant B, provoked into expression by X amount of training + Y altitude + Z will to win + a hundred other life variables (coaching, injuries, etc.), will produce some specific result R. What this means, of course, What this means, of course, is that we need to dispense rhetorically with thick firewall between biology (nature) and training (nurture). The reality of GxE assures that each persons genes interacts with his climate, altitude, culture, meals, language, customs and spirituality—everything—to produce unique lifestyle trajectories. Genes play a critical role, but as dynamic instruments, not a fixed blueprint. A seven- or fourteen- or twenty-eight-year-old is not that way merely because of genetic instruction. (Shenk, 2010: 107)
Nothing really wrong here. He is correct, which is why you need to look at the whole biological system, which also includes the culture, climate, environment and so on that the biological, developmental system finds itself in. However, Shenk then gets it wrong again writing that Jamaicans are a ‘quite heterogenous genetic group’ due to being a transport between North and South America. He states—correctly—that Jamaicans ancestry is about equal to that of African-Americans, but the individual variation in ancestry varies by “46.8 to 97.0 percent” (Shenk, 2010: 108).
Shenk gets a lot wrong here. For example. African-American and Jamaicans—despite both being descended from slave populations—have differing maternal ancestry which somehow influences athletic success. Deason (2017) found that 1) modern Jamaicans are descended from slaves and, who had considerable selective pressure on the population; 2) maternal ancestry could either influence sports success or be a false positive; 3) maternal lineages were different in Jamaicans and African-Americans, implying that the same maternal lineage is not distributed evenly between both sprinting populations; 4) some evidence exists that the genetic histories of Jamaicans and African-Americans are different based on their maternal haplotypes; 5) low SES and low access to healthcare—classic indicators of high African ancestry—were not directly linked to elite athletic success; 6) comparisons of the genomes of African-Americans and Jamaicans did not significantly differ since the estimated number of generations since admixture occurred, which implies that controls were not more likely to have more recent European ancestry than athletes; and 7) the regions of the genome that influence sprinting performance may be different in both populations. This is the best evidence to date against Shenk’s simplistic notions of the genetics between Jamaicans and African-Americans.
Differences in fast twitch fibers between Europeans and West Africans explain a large amount of the variance between Europeans and West African descendants in regard to sprinting success, while those with more symmetrical knees and ankles tend to run faster in the 100m dash (Trivers et al, 2014). This would also imply that Jamaicans have more symmetry in their knees and ankles than Europeans, though I am not aware of data that makes this comparison.
Shenk finally discusses the psycho-social-cultural aspects behind the phenomenon, stating that Roger Bannister, the first person to break the four minute mile, stated that while “biology sets limits to performance, it is the mind that plainly determines how close individuals come to those absolute limits” (Shenk, 2010: 110-111). Numerous psychological factors do, indeed, need to combine in order for the individual in question to excel in sports—along with the requisite anatomical/physiological/morphological traits too. Sasaki and Sekiya note that “changes in physiological arousal and movement velocuty induced by mild psychological pressure played a significant role in the sprint performance.” (See also Bali, 2015.)
Lippi, Favaloro, and Guidi, (2008) note how “An advantageous physical genotype is not enough to build a top-class athlete, a champion capable of breaking Olympic records, if endurance elite performances (maximal rate of oxygen uptake, economy of movement, lactate/ventilatory threshold and, potentially, oxygen uptake kinetics) (Williams & Folland, 2008) are not supported by a strong mental background.” I have argued this for months, even if the beneficial somatype is there in the athlete in question, if he/she does not have the will to win they will not succeed in their goals. Psychosocial factors, of course, matter just as much as the physical but all of these factors work in concert to get the outcomes that occur in these sports.
Attempting to pinpoint one or a few traits—while it may help us to understand better physilogic and anatomic processes—tells us nothing about the entire system. This is why, for instance, the whole athletes system needs to be looked at—call it the ‘systems view of the athlete’, where all of these aforementioned variables work in concert to express elite athletic performance, with no one variable being higher than another as an explanatory factor in sports success. Though Shenk gets a few things right (like his point on genes not causing traits on their own, they just influence the system, and I’d take it a step further to note that genes are passive in their relationship to the physiological system as a whole and are only activated by the system as needed, not being ’causes’ on their own; Noble, 2008), he’s largely misguided on how certain aspects of Jamaican ancestry and morphology help propel them to running success in comparison to other ethnies.
When explaining elite athletic performance in certain areas of sports, you must take a view of the whole system, with each known variable influencing the next in the chain, if you want to explain why certain ethnies or racial groups do better in a given sport than other groups. A systems view is the only view to take when comparing populations in different athletic competitions. So the influence of culture, psychology, social effects, morphology, ancestry, anatomy, physiology, muscle fibers, etc all work in concert to produce elite athletic phenotypes that then excel in these sports, and reducing this down to certain variables—while it may help us understand some of the inner mechanics—it does nothing to help advance the hows and whys of elite success in sports competition when comparing different populations.
Blood pressure (BP) is a physiological variable. Therefore since it is a physiological variable then it can be affected by environmental and social changes. How do racial differences come into play here, for instance? Since blacks face more (perceived) discrimination, then they should, on average, have higher BP levels than whites. This is what we find—but the effect is mostly seen in low-income blacks. How do psychosocial factors come into play here in the black-white BP gap?
BP is regulated by cardiac output, vascular resistance of blood flow, blood volume, arterial stiffness, and, of course, the individual’s emotional state which can decrease or increase BP. Neural mechanisms also exist which regulate BP (Chopra, Baby, and Jacob, 2011). Knowing how and why BP increases or decreases will have us better understand the social contexts of increased BP in low SES blacks.
BP is a complex physiological trait. It can go up and down due to what occurs in the immediate environment. Values of 120/80 mmHg are cited as ‘average’ values, but we have no idea what an ‘average’ BP is. Nevertheless—like most/all physiological variables—there is a wide range of what is considered ‘normal’. Due to the variance in human physiological systems, what is ‘normal’ for one individual is not ‘normal’ for another. Variation in BP (like, say, 120 SBP (systolic blood pressure) to 140 SBP) is ‘normal’. I believe even around 110 for SBP is within that range. For DPB (diastolic blood pressure) between 75 and 90 is within normal diurnal fluctuations due to activity/eating/etc (Taylor, Wilt, and Welch, 2011). BP, like testosterone, is one of those tricky variables to measure and so must be measured upon waking to see if there are any problems. So even for a trait like BP, there seems to be a ‘normal range’.
About 33 percent of blacks have hypertension (HTN) (Peters, Arojan, and Flack, 2006). Urban blacks are more likely to have higher BP levels than whites, but “At present, there is no complete explanation for these differences and further research is required” (Lindhorst et al, 2007). Low SES is correlated with higher levels of BP in black Americans—especially those with darker skin—but not Africans in Africa (Fuchs, 2011), suggesting that this is an American phenomenon that needs to be addressed. One good explanation, in my view, is the social environment. Physiological traits are extremely malleable due to the need to be able to ‘change gears’ in an instant, for instance to either fight or flight. Though, in our modernized world, these responses—mostly—have no need and so (due to our supposed civilized behavior), one’s BP rises due to social stress and other environmental factors and it is due to the urban environment.
What is the cause of high BP in blacks?
One explanation that has been given to explain higher rates of BP in blacks when compared to whites is discrimination. However, studies show mixed evidence on whether or not so-called discrimination raises BP (Couto, Goto, and Bastos, 2012). The same American effect (American blacks having higher BP than American whites) is seen even in the UK London area (Agyemang and Bhopal, 2003). This, yet again, is more evidence that the social environment drives these differences—again, regardless of whether or not any of the discrimination is real or imagined. Say most of it were imagined: it’d be irrelevant because the imagined discrimination leads to very real physiological outcomes in BP.
The country of birth also has an effect on BP. In one study, it was noted that Africans had significantly higher BP when compared to Asians (which is identical/lower) and native French living in France (Bahous et al, 2015). Ethnic differences in BP increase due to similar sodium intake is lower than what is usually cited (Graudal and Jurgens, 2015). However, other authors have pointed out that basing conclusions off of observational studies have problems, like the estimation of sodium intake being inaccurate since it’s a one-time measure; (Gunn et al, 2013; Cobb et al, 2014)
There is also evidence—along with pathways—that show how certain social activities work to lower stress and BP, including participation at church (Livingstone, Devine, and Moore, 1991). Black Americans can make other lifestyle changes in order to decrease BP, such as exercise and other lifestyle interventions. Redman, Baer, and Hicks state that “gene-environment interactions, job-related stress, racism, and other psychosocial factors to racial/ethnic disparities” need to be explored as causes for higher rates of HTN in blacks compared to whites. And with the knowledge of how all physiological systems work in terms of stress and other factors, should be explored as causes for this disparity.
Grim et al (1990) state that factors that influence high BP in blacks compared to whites are inherited and that is the major source of variation between these populations. However, the other mounting social/physiological evidence deserves an explanation; that is not inherited, and what we know about how our physiology responds to stress and discrimination—whether real or imagined—are extremely important and lead to extremely real, and important, outcomes in these populations. It is also argued that since blacks en route to America during the slave trade died from salt-depletive diseases, that blacks with a higher genetic propensity to absorb salt survived and this is why blacks have a higher propensity to absorb salt and are more ‘salt-sensitive’, which also could explain higher rates of HTN in American blacks compared to their cousins in Africa (Wilson and Grim, 1991). However, Curtin (1992) disputes this because “There is no evidence that diet or the resulting patterns of disease and demography among slaves in the American South were significantly different from those of other poor southerners”.
However, in regards to the social environment, Williams (1992) drives one of the best arguments I have encountered in this literature so far, stating that while genetic factors play a small part in regards to the BP gap between blacks and whites, social factors are arguably more important than genetic ones (and with our homeodynamic physiology, this does make sense). Dressler (1990) for instance, argues that skin color is a proxy for both social class and discrimination and these factors explain a large amount of the variation. Psychosocial variables can also explain heightened BP (Marmot, 1985; Cuffee et al, 2014). Yan et al (2003) also note how “time urgency/impatience” and “hostility” “were associated with a dose-response increase in the long-term risk of hypertension.” Henry (1988) also argues that calcium, obesity and genetic factors cannot be the aetiology of HTN in blacks, while also proposing that high sodium intakes are due to psychosocial stress (Williams, 1992: 136).
Obesity also leads to hypertension (Re, 2009) while blacks are more likely to be obese than whites, however, black American men with more African ancestry are less likely to be obese (Klimentidis et al, 2016). This would imply that the greater amount of African ancestry in American blacks both protects against obesity and along with it HTN. Williams (1992) makes a convincing argument that environmental and social factors are the cause for the black-white BP gap. And while genetic factors are important, no doubt, environmental and social factors are arguably more important to this debate.
Kulkarni et al (1998) show that increased stress leads to subsequent BP elevations which, over time, will lead to HTN. In a 2009 meta-analysis, Gasparin et al show how “individuals who had stronger responses to stressor tasks were 21% more likely to develop blood pressure increase when compared to those with less strong responses.”
Further, in support for the ‘perceived stress’ hypothesis in regards to blacks ‘perceiving’ stress and discrimination, “stress denial in combination with abdominal obesity, alcohol consumption, and smoking may be proxy for a high stress level” (Suter et al, 1997). Carroll et al (2001) also show how there are is “modest support for the hypothesis that heightened blood pressure reactions to mental stress contribute to the development of high blood pressure.” Sparrenberger et al (2009) also did a systematic review of observational studies, finding that “Acute stress is probably not a risk factor for hypertension. Chronic stress and particularly the non-adaptive response to stress are more likely causes of sustained elevation of blood pressure.”
Lastly, Langford (1981) shows that when SES is controlled for, the black-white BP disparity vanishes, implying that social and environmental—not genetic—factors are the cause for elevated HTN levels in black Americans. Sweet et al (2007) showed that for lighter-skinned blacks, as SES rose BP decreased while for darker-skinned blacks BP increased as SES did while implicating factors like ‘racism’ as the ultimate causes. This is solid evidence that both skin color and SES are predictors of higher prevalence of BP in black populations, and since other studies show that this is not noticed in higher class blacks, nor is this noticed in blacks in Africa, then the main causes of this disparity are social and environmental in nature.
(Non, Gravlee, and Mulligan, 2012). Their study suggests that educating black Americans on the dangers and preventative measures of high BP will reduce BP disparities between the races. This is in-line with Williams (1992) in that the social environment is the cause for the higher rates of BP. One hypothesis explored to explain why this effect with education was greater in blacks than whites was that BP-related factors, such as stress, poverty and racial discrimination (remember, even if no racial discrimination occurs, any so-called discrimination is in the eye of the beholder so that will contribute to a rise in physiologic variables) and maybe social isolation may be causes for this phenomenon. Future studies also must show how higher education causes lower BP, or if it only serves as other markers for the social environment. Nevertheless, this is an important study in our understanding of how and why the races differ in BP and it will go far to increase our understanding of this malady. This is a very convincing argument that education and not genetic ancestry cause disparities in BP between blacks and whites.
WebMD states that, of course, both environmental and genetic factors are at play in regards to black’s increased propensity for acquiring HTN. Fuchs (2011) also states that “They [environmental and behavioral factors] could act directly or by triggering mechanisms of blood pressure increase that are dormant in blacks living in Africa” and explain why black Americans have higher rates of BP than Africans in Africa. Further, race and ethnicity are independent predictors of HTN (Holmes et al, 2013).
Blacks and whites do differ in BP, and its aetiology is both complex and hard to untangle Genetic factors probably don’t account for a lot of this variance since Africans in Africa have low levels of BP compared to their black American cousins. Numerous lines of evidence shows that social and environmental factors are the cause, and so to change this, all people—especially blacks—should be educated on how to change these problems in our society. Whether discrimination is real or imagined, the effects of it lead to real physiological outcomes that then lead to increased health disparities between these populations.
Many long-time readers may know of the numerous tirades of been on in regards to the “testosterone causes crime and aggression” myth. It’s a fun subject to talk about because the intelligent human physiological system is an amazing system. However, people who are not privy to the literature on testosterone in regards to race, aggression, crime, sex differences etc are only aware of whatever they read in pop science articles. So since they never read the actual papers themselves, they get a clouded view of a subject.
In my last article, I wrote about how there are no “testosterone genes”. In previous articles on the hormone, I have proven that there is no causal link between testosterone and aggression. But when comparing the sexes, how do the results look? Do they look the same with men being more violent while women—who have substantially less testosterone than men—do not have any higher levels of aggression or crime? The most recent study I’m aware of is by Assari, Caldwell, and Zimmerman (2014) titled: Sex Differences in the Association Between Testosterone and Violent Behaviors.
To make a long story short, there was no relationship between testosterone and aggression in men, but a significant relationship between testosterone and aggression in women. This data comes from the Flint Adolescent Study, a longitudinal study conducted between the years of 1994 to 2012. In regards to testosterone collection, saliva was used which has a perfect correlation with circulating testosterone. The eligibility to be included in the testosterone assay was “provided consent for the procedure, not being pregnant, not having anything to eat, drinking nothing except water, and not using tobacco, 1 hour prior to collection” (Assari, Caldwell, and Zimmerman, 2014).
The adolescent who contributed saliva gave a whole slew of demographic factors including SES, demographics, psychological factors, family relations, religion, social relations, behavior, and health. They were aged 14 to 17 years of age. They collected data during face-to-face interviews,
Age and SES were used as control variables in their multivariate analysis. For violent behaviors, the authors write:
Youths were asked how often they had engaged in the following behaviors; ‘had a fight in school’, ‘taken part in a rumble where a group of your friends were against another group’, injured someone badly enough to need bandages or a doctor’, ‘hit a teacher or supervisor at work (work supervisor)’, used a knife or gun or other object (like a club) to get something romantic a person’, ‘carried a knife or razor’, or ‘carried a gun’. All items used a Likert response, ranging from 1 (0 times) to 5 (4 or more times). Responses to each item were averages to calculate the behavior during the last year. Total score was calculated as the average of all items. Higher scores indicated more violent behaviors (a = 0.79). This measure has shown high reliability and validity and it has been used previously in several published reports.
This is a great questionnaire. The only thing I can think of that’s missing is fighting/arguing with parents.
In regards to testosterone assaying, they were assayed after 11 am to “control for changes due to diurnal rhythm” (Assari, Caldwell, and Zimmerman, 2014). I’m iffy on that since testosterone levels are highest at 8 am but whatever. This analysis is robust. Saliva was not taken if the subject had smoked or ingested something other than water or if a subject was pregnant. Assays should be taken as close to 8 am, as that’s when levels are highest. However one study does argue to extend the range to 8 am to 2 pm (Crawford et al, 2015) while other studies show that this only should be the case for older males (Long, Nguyen, and Stevermer, 2015). Even then assays were done at the higher end of the range as stated by Crawford et al (2015), so differences shouldn’t be too much.
86.4 percent of the sample was black whereas 13.4 percent were white. 41.2 percent of the subjects had some college education whereas 58.2 percent of the subjects lived with a partner or relative. 21.4 percent of the subjects were unemployed.
The mean age was 20.5 for both men and women, however, which will be a surprise to some, testosterone did not predict aggressive behavior in men but did in women. Testosterone and aggressive behavior were positively correlated, whereas there was a negative correlation between education and testosterone and aggressive behavior. Though education was associated with aggressive behavior in men but not women. So sex and education was associated with aggressive behavior (the sex link being women more privy to aggressive behavior while men are more privy to aggressive behavior due to lack of education). Females who had high levels of education had lower levels of aggressive behavior. Again: testosterone wasn’t associated with violent behavior in men, but it was in women. This is a very important point to note.
This was a community sample, so, of course, there were different results when compared to a laboratory setting, which is not surprising. Laboratory settings are obviously unnatural settings whereas the environment you live in every day obviously is more realistic.
This study does contradict others, in that it shows that there is no association between testosterone and aggression in men. However, still other research shows that testosterone is not linked to aggression or impulsivity, but to sensation-seeking, sexual experience or sociality (Daitzman and Zuckerman, 1980; Zuckerman, 1984). Clearly, testosterone is a beneficial hormone and due to the low correlation of testosterone with aggression (between .08 and .14; Book, Starzyk, and Quinsey, 2001; Archer, Graham-Kevan and Davies, 2005; Book and Quinsey, 2005). This paper, yet again, buttresses my arguments in regards to testosterone and aggressive behavior.
In regards to the contrast in the literature the authors describe, they write:
One of the many factors that may explain the inconsistency in these findings is the community versus clinical setting, which has been shown to be a determinant of these associations. Literature has previously shown that many of the findings that can be found in clinical samples may not be easily replicated in a community setting (36).
This is like the (in)famous, unreplicable stereotype threat (see Stroessner and Good). It can only be replicated in a lab, not in an actual educational setting. And it also seems that this is the case for testosterone and aggressive behavior.
Just because women have lower testosterone and are less likely to engage in aggressive behavior, that doesn’t mean that a relationship does not exist between females. “It is also plausible to attribute sex differences in the above studies to differential variations in the amount of testosterone among men and women” (Assari, Caldwell, and Zimmerman, 2014). This view supports the case that testosterone is linked to aggression in females, even though their range of testosterone is significantly lower than men’s, while it may also be easier to assay women for testosterone due to less diurnal variation in comparison to men (Book, Starzyk, and Quinsey, 2001).
Assari, Caldwell, and Zimmerman, (2014) also write (which, again, buttresses my arguments):
Age may explain some of the conflicting results across the studies. A meta-analysis of community and selected samples suggested that there might be only low to modest association between testosterone and aggression, with mean weighted correlations ranging from 0.08 to 0.14, in males. Overall, these meta-analyses suggest that the testosterone-aggression association is equally strong in 12 to 21-year-olds, as it is in 22 to 35-year-olds, but that it may be less strong in age groups younger than 12, than in those who are older.
So, testosterone may be associated with aggressive behavior and violence in women but not in men. In men, the significant moderator was education. It’s interesting to note that Mazur (2016) noted that young black males with little education had higher levels of testosterone than age-matched samples of other blacks. This, along with the evidence provided here, may be a clue that if the social environment changes, then so will higher levels of testosterone (as I have argued here).
They, perhaps taking too large of a leap here, argue that “aggressive behaviors may be more social and less biologically based among men” (Assari, Caldwell, and Zimmerman, 2014). Obviously social factors are easier to change than biological ones (in theory), so, they argue, preventative measures may be easier for men than women. More studies need to be done on the complex interactions between sex, testosterone, aggression, biology and the social environment which then shapes the aggressive behaviors of those who live there.
Testosterone and aggression studies are interesting. However, you must know a good amount of the literature to be able to ascertain good studies from the bad, what researchers should and should not have controlled for, time of assay, etc because these variables (some not in the author’s hands, however) can and do lead to false readings if certain variables are not controlled for. All in all, the literature is clearly points to, though other studies contest this at times, the fact that testosterone does not cause aggressive behavior in men. The myth needs to die; the data is piling up for this point of view and those who believe that testosterone causes aggressive behavior and crime (which I have shown it does not, at least for men) will soon be left in the dust as we get a better understanding of this pivotal hormone.
(In case anyone was going to use this as evidence that black women have higher levels of testosterone than white women, don’t do it because it’s not true. You’ll only embarrass yourself like this guy did. Read the comments and see him say that you don’t need scientific measurements, you only need to ‘observe it’ and through ‘observation’ we can deduce that black women have higher levels of testosterone than white women. This is not true. Quoting Mazur, 2016:
The pattern [high testosterone] is not seen among teenage boys or among females.
There is no indication of inordinately high T among young black women with low education.
Whoever still pushes that myth is an idealogue; I have retracted my article ‘Black Women and Testosterone‘, but idealogues just gloss over it and read what they think will bolster their views when I have provided the evidence to the contrary. It pisses me off that people selectively read things then cite my article because they think it will confirm their pre-conceived notions. Well too bad, things don’t work like that.)
Black-white differences in physiology can tell a lot about how the two groups have evolved over time. On traits like resting metabolic rate (RMR), basal metabolic rate (BMR), adiposity, heart rate, Vo2 max, etc. These differences in physiological variables between groups, then, explain part of the reason why there are different outcomes in terms of life quality/mortality between the two groups.
Right away, by looking at the average black and average white, you can see that there are differences in somatype. So if there are differences in somatype, then there must be differences in physiological variables, and so, this may be a part of the cause of, say, differing obesity rates between black and white women (Albu et al, 1997) and even PCOS (Wang and Alvero, 2013).
Resting metabolic rate
Resting metabolic rate is your body’s metabolism at rest, and is the largest component of the daily energy budget in modern human societies (Speakman and Selman, 2003). So if two groups, on average, differ in RMR, then one with the lower RMR may have a higher risk of obesity than the group with the higher RMR. And this is what we see.
Black women do, without a shadow of a doubt, have a lower BMR, lower PAEE (physical activity energy expenditure) and TDEE (total daily expenditure) (Gannon, DiPietro, and Poehlman, 2000). Knowing this, then it is not surprising to learn that black women are also the most obese demographic in the United States. This could partly explain why black women have such a hard time losing weight. Metabolic differences between ethnic groups in America—despite living in similar environments—show that a genetic component is responsible for this.
There are even predictors of obesity in post-menopausal black and white women (Nicklas et al, 1999). They controlled for age, body weight and body composition (variables that would influence the results—no one tell me that “They shouldn’t have controlled for those because it’s a racial confound!”) and found that despite having a similar waist-to-hip ratio (WHR) and subcutaneous fat area, black women had lower visceral fat than white women, while fasting glucose, insulin levels, and resting blood pressure did not differ between the groups. White women also had a higher Vo2 max, which remained when lean mass was controlled for. White women could also oxidize fat at a higher rate than black women (15.4 g/day, which is 17% higher than black women). When this is expressed as percent of total kcal burned in a resting state, white women burned more fat than black women (50% vs 43%). I will cover the cause for this later in the article (one physiologic variable is a large cause of these differences).
We even see this in black American men with more African ancestry—they’re less likely to be obese (Klimentidis et al 2016). This, too, goes back to metabolic rate. Black American men have lower levels of body fat than white men (Vickery et al, 1988; Wagner and Heyward, 2000). All in all, there are specific genetic variants and physiologic effects, which cause West African men to have lower central (abdominal) adiposity than European men and black women who live in the same environment as black men—implying that genetic and physiologic differences between the sexes are the cause for this disparity. Whatever the case may be, it’s interesting and more studies need to be taken out so we can see how whatever gene variants are *identified* as protecting against central adiposity work in concert with the system to produce the protective effect. Black American men have lower body fat, therefore they would have, in theory, a higher metabolic rate and be less likely to be obese—while black women have the reverse compared to white women—a lower metabolic rate.
Skeletal muscle fiber
Skeletal muscle fibers are the how and why of black domination in explosive sports. This is something I’ve covered in depth. Type II fibers contract faster than type I. This has important implications for certain diseases that black men are more susceptible to. Though the continuous contraction of the fibers during physical activity leads to a higher disease susceptibility in black men—but not white men (Tanner et al, 2001). If you’re aware of fiber type differences between the races (Ama et al, 1986; Entine, 2000; Caeser and Henry, 2015); though see Kerr (2010’s) article The Myth of Racial Superiority in Sports for another view. That will be covered here in the future.
Nevertheless, fiber typing explains racial differences in sports, with somatype being another important variable in explaining racial disparities in sports. Two main variables that work in concert are the somatype (pretty much body measurements, length) and the fiber type. This explains why blacks dominate baseball and football; this explains why ‘white men can’t jump and black men can’t swim’. Physiological variables—not only ‘motivation’ or whatever else people who deny these innate differences say—largely explain why there are huge disparities in these sports. Physiology is important to our understanding of how and why certain groups dominate certain sports.
This is further compounded by differing African ethnies excelling in different running sports depending on where their ancestors evolved. Kenyans have an abundance of type I fibers whereas West Africans have an abundance of type II fibers. (Genetically speaking, ‘Jamaicans’ don’t exist; genetic testing shows them to come from a few different West African countries.) Lower body symmetry—knees and ankles—show that they’re more symmetrical than age-matched controls (Trivers et al, 2014). This also goes to show that you can’t teach speed (Lombardo and Deander, 2014). Though, of course, training and the will to want to do your best matter as well—you just cannot excel in these competitions without first and foremost having the right physiologic and genetic make-up.
Further, although it’s only one gene variant, ACTN3 and ACE explain a substantial percentage of sprint time variance, which could be the difference between breaking a world record and making a final (Papadimitriou et al, 2016). So, clearly, certain genetic variants matter more than others—and the two best studied are ACTN3 and ACE. Some authors, though, may deny the contribution of ACTN3 to elite athletic performance—like one researcher who has written numerous papers on ACTN3, Daniel MacArthur. However, elite sprinters are more likely to carry the RR ACTN3 genotype compared to the XX ACTN3 genotype, and the RR ACTN3 genotype—when combined with type II fibers and morphology—lead to increased athletic performance (Broos et al, 2016). It’s also worth noting that 2 percent of Jamaicans carry the XX ACTN3 genotype (Scott et al, 2010), so this is another well-studied variable that lends to superior running performance in Jamaicans.
In regards to Kenyans, of course when you are talking about genetic reasons for performance, some people don’t like it. Some may say that certain countries dominate in X, and that for instance, North Africa is starting to churn out elite athletes, should we begin looking for genetic advantages that they possess (Hamilton, 2000)? Though people like Hamilton are a minority view in this field, I have read a few papers that there is no evidence that Kenyans possess a pulmonary system that infers a physiologic advantage over whites (Larsen and Sheel, 2015).
People like these three authors, however, are in the minority here and there is a robust amount of research that attests to East African running dominance being genetic/physiologic in nature—though you can’t discredit SES and other motivating variables (Tucker, Onywera, and Santos-Concejero, 2015). Of course, a complex interaction between SES, genes, and environment are the cause of the success of the Kalenjin people of Kenya, because they live and train in such high altitudes (Larsen, 2003), though the venerable Bengt Saltin states that the higher Vo2 max in Kenyan boys is due to higher physical activity during childhood (Saltin et al, 1995).
The last variable I will focus on (I will cover more in the future) is blood pressure. It’s well known that blacks have higher blood pressure than whites—with black women having a higher BP than all groups—which then leads to other health implications. Some reasons for the cause are high sodium intake in blacks (Jones and Hall, 2006); salt (Lackland, 2014; blacks had a similar sensitivity than whites, but had a higher blood pressure increase); while race and ethnicity was a single independent predictor of hypertension (Holmes et al, 2013). Put simply, when it comes to BP, ethnicity matters (Lane and Lip, 2001).
While genetic factors are important in showing how and why certain ethnies have higher BP than others, social factors are arguably more important (Williams, 1992). He cites stress, socioecologic stress, social support, coping patterns, health behavior, sodium, calcium, and potassium consumption, alcohol consumption, and obesity. SES factors, of course, lead to higher rates of obesity (Sobal and Stunkard, 1989; Franklin et al, 2015). So, of course, environmental/social factors have an effect on BP—no matter if the discrimination or whatnot is imagined by the one who is supposedly discriminated against, this still causes physiologic changes in the body which then lead to higher rates of BP in certain populations.
Poverty does affect a whole slew of variables, but what I’m worried about here is its effect on blood pressure. People who are in poverty can only afford certain foods, which would then cause certain physiologic variables to increase, exacerbating the problem (Gupta, de Wit, and McKeown, 2007). Whereas diets high in protein predicted lower BP in adults (Beundia et al, 2015). So this is good evidence that the diets of blacks in America do increase BP, since they eat high amounts of salt, low protein and high carb diets.
Still, others argue that differences in BP between blacks and whites may not be explained by ancestry, but by differences in education, rather than genetic factors (Non, Gravlee, and Mulligan, 2012). Their study suggests that educating black Americans on the dangers and preventative measures of high BP will reduce BP disparities between the races. This is in-line with Williams (1992) in that the social environment is the cause for the higher rates of BP. One hypothesis explored to explain why this effect with education was greater in blacks than whites was that BP-related factors, such as stress, poverty and racial discrimination (remember, even if no racial discrimination occurs, any so-called discrimination is in the eye of the beholder so that will contribute to a rise in physiologic variables) and maybe social isolation may be causes for this phenomenon. Future studies also must show how higher education causes lower BP, or if it only serves as other markers for the social environment. Nevertheless, this is an important study in our understanding of how and why the races differ in BP and it will go far to increase our understanding of this malady.
This is not an exhaustive list—I could continue writing about other variables—but these three are some of the most important as they are a cause for higher mortality rates in America. Understanding the hows and whys of these variables will have us better equipped to help those who suffer from diseases brought on by these differences in physiological factors.
The cause for some of these physiologic differences come down to evolution, but still others may come down to the immediate obesogenic environment (Lake and Townshend, 2006) which is compounded by lower SES. Since high carbs diets increase BP, this explains part of the reason why blacks have higher BP, along with social and genetic factors. Muscle fiber typing is set by the second trimester, and no change is seen after age 6 (Bell, 1980). Resting metabolic rate gap differences between black and white women can be closed, but not completely, if black women were to engage in exercise that use their higher amounts of type II muscle fibers (Tanner et al, 2001). This research is important to understand differences in racial mortality; because when we understand them then we can begin to theorize on how and why we see these disparities.
Physiologic differences between the races are interesting, they’re easily measurable and they explain both disparities in sports and mortality by different diseases. Once we study these variables more, we will be better able to help people with these variables—race be dammed. Race is a predictor here, only because race is correlated with other variables that lead to negative health outcomes. So once we understand how and why these differences occur, then we can help others with similar problems—no matter their race.
No, Black Women Do Not Have Higher Testosterone than White Women (And More On Hereditarian Claims on Racial Testosterone Differences)
It has been over a year since I wrote the article Black Women and Testosterone, and I really regret it. Yes, I did believe that black women had higher levels of testosterone than white women due to one flimsy study and another article on pregnant black women. I then wised up to the truth about testosterone and aggression/crime/race/sex and revised the articles (like I have done with r/K selection theory). However, after I revised my views on the supposed differences in testosterone between black men/white men and black women/white women, people still cite the article, disregarding the disclaimer at the top of the article. I quoted Mazur (2016), who writes (emphasis mine):
The pattern [high testosterone] is not seen among teenage boys or among females.
There is no indication of inordinately high T among young black women with low education.
Honor cultures are cast as male affairs, but with T data in hand for both sexes, it is worth exploring whether or not a similar pattern exists among women. Mean T was calculated as a function of age for the four combinations of race and education used in Table 1 but now for women. All plots show T declining with age, from about 35 ng/dL in the 20–29 age group to about 20 ng/dL among women 60 years and older. The four plots essentially overlap without discernible differences among them. Given the high skew of T among adult females, both raw and ln-transformed values were analyzed with similar results. There is no indication of inordinately high T among young black women with low education.
In the present study, at least, the sexes differ because the very high T seen among young black men with low education does not occur among young black women with low education.
This is very clear… Mazur (2016) analyzed the NHANES 2011-2012 data and this is what he found. I understand that most HBD bloggers do believe this, well, like a lot of their strong assertions (which I have rebutted myself), they’re wrong. They don’t get it. They do not understand the hormone.
The reason why I’m finally writing this (which is long overdue) is that I saw a referral from this website today: https://www.minds.com/RedPillTV who writes about the aforementioned black women and testosterone article:
It is known that blacks have the highest levels of testosterone out of the major races of humanity. However, what’s not known is that black women have higher rates than white women. The same evolutionary factors that make it possible for black men to have high testosterone make it possible for women as well.
…..No. It seems that people just scroll on by the disclaimer at the top that is bolded and italicized and just go to the (now defunct) article and attempt to prove their assertion that black women have higher testosterone than white women with an article that I have stated myself I no longer believe and have provided the rationale/data for the position. This shows that people have their own biases and no matter what the author writes about their views that have changed due to good arguments/data, they will still attempt to use the article to prove their assertion.
I’ve written at length that testosterone does not cause 1) aggression, 2) crime and 3) prostate cancer. People are scared of testosterone mostly due to the media fervor of any story that may have a hint of ‘toxic masculinity’. They (most alt-righters) are scared of it because of Lynn/Rushton/Templer/Kanazawa bullshit on the hormone. Richard Lynn doesn’t know what he’s talking about on testosterone. No, Europeans did not need lower levels of aggression in the cold; Africans didn’t need higher levels of aggression (relative to Europeans) to survive in the tropics. The theory that supposed differential testosterone differences between the races are “the physiological basis in males of the racial differences in sexual drive which form the core of the different r/K reproduction strategies documented by J.P. Rushton” (Lynn, 1990: 1203). The races, on average, do not differ in testosterone as I have extensively documented. So hereditarians like Lynn and others need to look for other reasons to explain blacks’ higher rate of sexual activity.
Rushton’s views on the testosterone and supposed r/K continuum have been summarily rebutted by me. These psychologists’ views on the hormone (that they don’t understand the production of nor do they understand the true reality of the differences between the races) are why people are afraid of testosterone. No, testosterone is not some ‘master switch’ as Rushton (1999) asserts. Rushton asserts that racial differences in temperament are mediated by the hormone testosterone. He further dives into this assertion stating “Testosterone level correlates with temperament, self-concept, aggression, altruism, crime, and sexuality, in women as well as in men (Harris, Rushton, Hampson, & Jackson, 1996). It may ‘correlate’ with aggression and crime, but as I have documented, they do not cause either.
The aggression/testosterone correlation is only .08 (Archer, Graham-Kevan, and Davies, 2005). Furthermore, the diurnal variation in testosterone does not directly correlate to when testosterone levels are highest in the day (at 8 am and drop thereafter), with adults peaking in crime at 10 pm and kids at 3 pm, with rises at 8 pm and 12 pm (not surprisingly, kids go in to school around 8 am, go to recess at 12 and leave at 3).
If you’ve read as much Rushton as I have, you’ll notice that he begins to sound like a broken record when talking about certain things. One of the most telling is Rushton’s repeated assertions that blacks average 3-19 percent higher testosterone than whites. The 3 percent number comes from Ellis and Nyborg (1992) and the 19 percent number comes from Ross et al (1986) (which Rushton should know that after adjustments for confounding, it decreased to 13 percent). These are the only studies that hereditarians ever cite for these claims that blacks average higher testosterone than whites. That seems a bit fishy to me. Cite a 30-year-old study along with a 25-year-old study (with such huge variation from Rushton and those who cite him for this matter—3-19 percent!!) as ‘proof’ that blacks average such higher levels of testosterone in comparison to whites.
Ross et al (1986) is one of the most important studies to rebut for this hereditarian claim that testosterone causes all of these maladies in black American populations. Ross et al (1986) propose that higher levels of the hormone lead to the higher rates of prostate cancer in black American populations. However, meta-analyses do not show this (Zagars et al, 1998; Sridhar et al, 2010).
Rushton et al’s assertions—largely—lie on this supposed testosterone difference between the races and how it supposedly leads to higher rates of crime, prostate cancer, aggression, and violence. However, the truth of the matter is, this is all just hereditarian bullshit. Larger analyses—as I have extensively documented—do not show this trend. And even accepting the claim that blacks have, say, 19 percent higher levels of testosterone than whites, it still would not explain the supposed prostate cancer rates between the races (Stattin et al, 2003; Michaud, Billups, and Partin, 2015). Even if blacks had 19 percent higher testosterone than whites, it would not explain higher levels of crime nor aggression due to such a hilariously low correlation of .08 (Archer, Graham-Kevan, and Davies, 2005).
Finally, I have a few words for Michael Hart and his (albeit sparse) claims on testosterone in his 2007 book Understanding Human History.
Hart (2007) writes:
(Many of these differences in sexual behavior may be a consequence of the fact that
blacks, on average, have higher levels of testosterone than whites.7) (pg. 127)
And….. footnote number 7 is…. surprisingly (not): 7) Ross, R., et al. (1986). Not going to waste my time on this one, again. I’ve pointed out numerous flaws in the study. (I will eventually review the whole thing.)
It seems unlikely, though, that the higher testosterone level in blacks — which is largely genetic in origin — has no effect on their sexual behavior (pg. 128; emphasis mine)
This is bullshit. People see the moderately high heritability of testosterone (.60; Harris, Vernon, and Boomsma, 1998) and jump right to the “It’s genetics!!!” canard without even understanding its production in the body (it is a cholesterol-based hormone which is indirectly controlled by DNA, there are no ‘genes for’ testosterone). Here are the steps: 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
I have documented numerous lines of evidence showing that testosterone is extremely sensitive to environmental factors (Mazur and Booth, 1998; Mazur, 2016), and due to the homeodynamic physiology we have acquired due to ever-changing environments (Richardson, 2017), this allows our hormones to up- or down-regulate depending on what occurs in the environment. The quote from Hart is bullshit; he doesn’t know what he’s talking about.
For females in Siberia, the disadvantages of failing to find a man who would
provide for her and her children during their childhood were much greater than they were in tropical climates, and females who were not careful to do so were much less likely to pass on their genes. Furthermore, because females in harsh climates were so demanding on this point, males who seemed unlikely to provide the needed assistance found it hard to find mates. In other words, there was a marked sexual selection against such males. Such selection could result, for example, in the peoples living in northerly climates gradually evolving lower levels of testosterone than the peoples living in subSaharan Africa. (pg. 131)
This is a bullshit just-so story. Africans in Africa have lower levels of testosterone than Western men (Campbell, O’Rourke, and Lipson, 2003; Lucas and Campbell, and Ellison, 2004; Campbell, Gray, and Ellison, 2006).
Note also that a difference in testosterone level frequently affects not
only the sexual behavior of a young male, but also his aggressiveness.
No it does not (Archer, Graham-Kevan, and Davies, 2005).
Thankfully, that’s all he wrote about testosterone. There is so much bullshit out there. Though, people who like and seek out the truth will learn that there are no racial differences and that testosterone does not cause crime/aggression/prostate cancer and that it’s just hereditarian bullshit.
The evidence I have amassed and the arguments I have given point to a few things: 1) the races do not differ in testosterone/there is a small negligible difference; 2) testosterone does not cause crime; 3) testosterone does not cause aggression; 4) black women do not have higher levels of testosterone than white women; 5) high levels of testosterone do not cause prostate cancer; and 6) even allowing a 19 percent black/white difference will not have hereditarian claims hold true.
So for anyone who comes across my old articles on testosterone and sex/race, do a bit more reading of my newer material here to see my new viewpoints/arguments. DO NOT cite these articles as proof for your claims of higher levels of black men/women. DO cite the old articles ALONG WITH the new ones to show how and why my views changed along with the studies I have cited that changed my view. (Actually understanding the production of testosterone in the body was a huge factor too, which I talk about in Why Testosterone Does Not Cause Crime.)
Edit: (The correlation between aggression and testosterone isn’t .14 as Book et al (2001) state; the true correlation is .08 (Archer, Graham-Kevan and Davies, 2005) So it’s even lower than I thought. This is one of the many reasons why testosterone does not cause crime. It’s just feminist bullshit and fear mongering from people who do not understand the hormone and what it does in the body. The misconceptions come from Rushton’s r/K selection bullshit which has been summarily refuted.)
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).
- 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.
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.
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 relative. Of 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.
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.
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 imbalances. Felice 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.
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.
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.