HBD and Sports: Basketball
In the past, I have written on the subject of HBD and sports (it is a main subject of this blog). I have covered baseball, football, running, bodybuilding, and strength over many articles. Though, I have not covered basketball yet. Black Americans comprised 74.4 percent of the NBA, compared to 19.1 percent of whites (TIDES, 2017). Why do blacks dominate the racial composition of baskeball? Height is strongly related to success in basketball, though whites and blacks are around the same height, with blacks being slightly shorter (blacks being 69.4 inches compared to whites who were 69.8 inches; CDC, 2012). So, why do blacks dominate basketball?
Basketball success isn’t predicated so much on height, rather, limb length plays more of a factor in basketball success. Blacks have longer limbs than whites (Wagner and Heyward, 2000; Bejan, Jones, and Charles, 2010). The average adult man has an arm span about 2.1 inches greater than his height (Nwosu and Lee, 2008), while Monson, Brasil, and Hlusko (2018) state that taller basketball players had a greater height-to-wingspan ratio and they were, therefore, more successful. The Bleacher Report reports that:
The average NBA Player’s wingspan differential came out at 4.3 percent, so anything above that is going to be reasonably advantageous.
So, more successful basketball players have a longer arm span compared to their height, which makes them more successful in the sport. Blacks have longer limbs than whites, even though they are on average the same height. Thus, one reason why blacks are more successful than whites at basketball is due to their somatotype—their long limbs, specifically,
David Epstein (2014: 129) writes in The Sports Gene:
Based on data from the NBA and NBA predraft combines (using only true, shoes-off measurements of players), the Census Bureaum abd the Centers for Disease Control’s National Center for Health Statistics, there is such a premium on extra height for NBA that the probability of an American man between the ages of twenty and forty being a current NBA player rises nearly a full order of magnitude with every two-inch increase in height starting at six feet. For a man between six feet and 6’2”, the chance of his currently being in the NBA is five in a million. At 6’2” to 6’4”, that increases to twenty in a million. For a man between 6’10” and seven feet tall, it rises to thirty-two thousand in a million, or 3.2 percent. An American man who is seven feet tall is such a rarity that the CDC does not even list a height percentile at that stature. But the NBA measurements combined with the curve formed by the CDC’s data suggest that of American men ages twenty to forty who stand seven feet tall, a startling 17 percent of them are in the NBA right now.* Find six honest seven-footers, and one will be in the NBA.
* Many of the men who NBA rosters claim are seven feet tall prove to be an inch or even two inches shorter when measured at the combine with their shows off. Shaquille O’Neal, however, is a true 7’1” with his shoes off.
And on page 132 he writes:
The average arm-span-to-height ratio of an NBA player is 1.063. (For medical context, a ratio greater than 1.05 is one of the traditonal diagnostic criteria for Marfan syndrome, the disorder of the body’s connective tissues that results in elongated limbs.) An average-height NBA player, one who is about 6’7”, has a wingspan of seven feet.
So we can clearly see that NBA players, on average, are freaks of nature when it comes to limb length, having freakish arm length proportions which is conducive to success in basketball.
Why are long limbs so conducive to basketball success? I can think of a few reasons.
(1) The taller one is and the longer one’s limbs are the less likely they are to have a blocked shot.
(2) The taller one is and the longer one’s limbs are is advantageous when performing a lay-up.
(3) The taller one is and the longer one’s limbs are means they can battle for rebounds at better than a shorter man with shorter limbs.
Epstein (2014: 136) also states that the predraft data shows that the average white NBA player is 6’7.5” with a wingspan of 6’10” while the average black NBA player is 6’5.5” with an average wingspan of 6’11”—meaning that blacks were shorter but “longer.” What this means is that blacks don’t play at “their height”—they play as if they were taller due to their wingspan.
Such limb length differences are a function of climate. Shorter, stockier bodies (i.e., an endomorphic somatotype) is conducive to life in colder climes, whereas longer, more narrowbodies (ecto-meso) are conducive to life in the tropics. Endomorphic somas are conducive to life in colder climes because there is less surface area to keep warm—and this is seen by looking at those whose ancestors evolved in cold climes (Asians, Inuits)—shorter, more compact bodies retain more heat. Conversely, ecto-meso somas are conducive to life in hotter, more tropical climes since this type of body dissipates heat more efficiently than endo somas (Lieberman, 2015). So, blacks are more likely to have the soma conducive to basketball success due to where their ancestors evolved.
So, now we have discussed the facts that height and limb length are conducive to success in basketball. Although blacks and whites in America are the same height, they have vastly different average limb lengths, as numerous studies attest to. These average differences in limb length are how and why blacks succeed far better than whites in the NBA.
Athleticism is irreducible to biology (Lewis, 2004), as has been argued in the past. However, that does not mean that there are NOT traits that are conducive to success in basketball and other sports. Both height and limb length are related: more than likely, the taller one is, the longer their limbs are relative to their height. This is what we see in elite NBA players. Height, will, altitude, and myriad other factors combine to create the elite NBA phenotype; height seems to be a necessary—not sufficient—condition for basketball success (since one can be successful at basketball without the freakish heights of the average player). Though, as Epstein wrote in his book, both height and limb length are conducive to success in basketball, and it just so happens that blacks have longer limbs than whites which of course translates over to their domination in basketball.
Contrary to popular belief, though, players coming from broken homes and an impoverished life are not the norm. As Dubrow and Adams (2010) write:
We find that, after accounting for methodological problems common in newspaper data, most NBA players come from relatively advantaged social origins and African Americans from disadvantaged social origins have lower odds of being in the NBA than African American and white players from relatively advantaged origins.
Sports writer Peter Keating writes that:
[Dubrow and Adams] found that among African-Americans, a child from a low-income family has 37 percent lower odds of making the NBA than a child from a middle- or upper-income family. Poor white athletes are 75 percent less likely to become NBA players than middle-class or well-off whites. Further, a black athlete from a family without two parents is 18 percent less likely to play in the NBA than a black athlete raised by two parents, while a white athlete from a non-two-parent family has 33 percent lower odds of making the pros. As Dubrow and Adams put it, “The intersection of race, class and family structure background presents unequal pathways into the league.”
(McSweeney, 2008 also has a nice review of the matter.)
Turner et al (2015) state that black males were more likely to play basketball than whites males. Higher-income boys were more likely to play baseball, whereas lower-income boys were more likely to play basketball. Though, it seems that when it comes to elite basketball success, players seem to come from higher-income homes.
Therefore, to succeed in basketball, one needs height and long limbs to succeed in basketball. Contrary to popular belief, it is less likely for an NBA player to come from a low-income family—they come from middle-class families the most. Indeed, those who come from lower-income families, even if they have the skill, most likely won’t have the money to develop the talent they have. Though there are some analyses which point to basketball being played by lower-income children—and I have no reason to disagree with them—when it comes to professional play, both blacks and whites are less likely to become NBA players if they grew up in poverty.
The limb length differences between blacks and whites which are conducive to sport success are a function of the climate that their ancestors evolved in. Now, although athleticism is irreducible to biology (because biological and cultural factors interact to create the elite athletic phenotype), that does not mean that there are no traits conducive to sporting success. Quite the opposite: A taller player would more often than not beat a shorter player; when it comes to players with the same height and different limb lengths, the one with the longer limbs will stand a better chance at beating the one with shorter limbs. Blacks and whites have different limb lengths, and this explains how and why blacks are more successful at basketball than whites. Cultural and biological factors combine in order to cause what one is good at.
Basketball is huge in the black community (due in part to people gravitating toward what they are good at), and due to this, since blacks have an advantage right out of the gate, they will gravitate more toward the sport and, therefore, height and limb length is a huge reason why black dominate at this sport.
Answering Hoffman et al’s 15-Question Questionnaire
Hoffman et al (2016) questioned laypeople and medical students and residents on a 15-question questionnaire regarding different beliefs people have about racial differences. The point of the questionnaire was to ascertain how people are biased in regard to racial differences in pain and how the bias affects the treatment the individual of the certain racial group. Only two of the questions had anything to do with pain. In this article, I will answer the questions one by one.
The 15 questions are in the Supporting Information for Hoffman et al (2016). The questions (and my responses) are as follows.
1. On average, Blacks age more slowly than Whites.
This one is true (though they rate this question as false). I don’t know why, though, because there are differences between black and white skin and these differences affect the rate of aging between races.
Campiche et al (2019) found that there is a difference in aging regarding skin in different ethnies (the cohorts were French and Mauritanian). The average age was 46 for the French and 56 foe the Mauritanians, and the Mauritanians still looked younger! Campiche et al (2019) write:
The difference in age between our Caucasian and Black African cohorts (median age 46 years vs 56 years) could bring into question the comparisons of the two cohorts. Nevertheless, we mostly found that Caucasians displayed more severe signs of aging than Black Africans which is in line with the common understanding that the onset of aging in fair skin starts earlier than in darkly pigmented skin and that there were differences in the appearance of lip lines and facial pores.
This question is true, contrary to the claims of Hoffman et al (2016).
2. Black people’s nerve-endings are less sensitive than White people’s nerve-endings.
I can find no literature on this matter and the only articles point me to Hoffman et al (2016) and different articles on the matter. I accept the claim as false.
3. Black people’s blood coagulates more quickly–because of that, Blacks have a lower rate of hemophilia than Whites.
Blacks’ blood does clot faster than whites, and part of the cause is differences in the PAR4 gene family (Bray et al, 2013). The reason that blacks’ blood clots faster than whites’ is due to the effects of thrombin, an enzyme that activates the molecule responsible for blood clotting. Blacks do have a lower rate of hemophilia than whites, though, but not by much (13.2 cases/100,000 for whites compared to 11 for blacks) (Soucie, Evatt, and Jackson, 1998). The question is true, contra Hoffman et al (2016).
4. Whites, on average, have larger brains than Blacks.
They stated that this question is false, which is bizarre. I am aware of no literature that attests to the claim that whites do not have larger brains than blacks. Many analyses back the claim that whites have larger brains than blacks (though Nisbett disagrees and states that there are studies that show the contrary but does not leave a citation) (Rushton, 1997). (Though see Race and Brain Size: Blacks Have Bigger Brains for an alternate view.)
5. Whites are less susceptible to heart disease like hypertension than Blacks.
They say this claim is true. And it is. Hypertension (high blood pressure) is a physiological variable which means that social environment can greatly affect it (Williams, 1992). Higher rates of obesity drive this association as well. American blacks have a lower rate of CHD than whites (7.2 compared to 7.8) but this is reversed for women (7.0 compared to 4.6) (Leigh, Alvarez, and Rodriguez, 2016). The CDC, though, says that the rate of heart disease is the same between blacks and whites, at 23.8 percent though (slightly higher than the 23.5 percent average).
6. Blacks are less likely to contract spinal cord diseases like multiple sclerosis.
They say that this claim is false, and it seems that it is (Langer-Gould et al, 2013). Though Marrie et al (2006) state that blacks experience greater MS disability than whites.
7. Whites have a better sense of hearing compared with Blacks.
They state that this claim is false. Pratt et al (2009) state that hearing loss is more likely to occur in white over black elderly patients.
8. Black people’s skin has more collagen (i.e., it’s thicker) than White people’s skin.
They state that this claim is false, and it is. That there is no difference in skin thickness between blacks and whites is irrelevant, though. Black skin is more compact, with greater intercellular cohesion (LaRuche and Cesarini, 1992; Rawlings, 2006).
9. Blacks, on average, have denser, stronger bones than Whites.
They state that this claim is true, and it is (Wagner and Heyward, 2000; Hocheberg, 2007).
10. Blacks have a more sensitive sense of smell than Whites; they can differentiate odors and detect faint smells better than Whites.
This claim is false, according to Hofmann et al. And I can find nothing in the literature on the matter so I will accept their claim.
11. Whites have more efficient respiratory systems than Blacks.
They state that this claim is false. However, Schwartz et al (1988) state that “Controlling for sex, age, standing height, and body mass index, blacks had consistently lower levels of lung function for most measures.” This claim seems to be true.
12. Black couples are significantly more fertile than White couples.
They state this claim is false. Wellons et al (2008) state that “black women were more likely to have experienced infertility.” So the claim is in the opposite of what Hoffman et al question.
13. Whites are less likely to have a stroke than Blacks.
They state that this claim is true, and it is. Minorities are more likely to have a stroke than whites. Brevata et al (2005) write that blacks are more likely to have severe strokes than whites. The claim is true.
14. Blacks are better at detecting movement than Whites.
This seems like a bizarre claim. They state that it is false and I will accept it as false since I can find no literature on the matter.
15. Blacks have stronger immune systems than Whites and are less likely to contract colds.
Europeans and Africans have different immune systems. The immune system of black Americans is stronger than whites’. Twenty-four hours after being infected with salmonella and listeria bacteria, researchers found that the white blood cells from black Americans responded quicker than that of the white blood cells from white Americans. The white blood cells from black Americans ridded the infection about three times quicker than the white blood cells from black Americans. They stated that this claim is false, but it appears to be true.
So, by my count, out of the 15 questions asked, 8 of them have a factual basis (with some in the opposite direction), compared to Hoffman et al’s (2016) assertion that only 4 of them are true. In any case, there are a lot of myths about racial differences out there, and some of these questions by Hoffman et al are myths. Though some of them do have a factual basis. I wonder what kind of literature they referred to when asking these questions, because the literature that I am aware of when it comes to some of these matters is different compared to what Hoffman et al (2016) claim. Racial/ethnic differences do, obviously, exist but there are many myths involved with them.
Race/Ethnicity and Pain
There are many superficial physical differences between the races. But differences in pain sensitivity would be one that is not really “superficial”, as you can’t really see it (you can see someone’s reaction to pain, but not see it). “Pain” is defined as physical discomfort caused by injury. There are some myths about pain differences between racial groups, that still persist today. And these myths have bad consequences.
For example, Hoffman et al (2016) state that “people assume a priori that blacks feel less pain than do whites.” Hoffman et al (2016) carried out two studies: (1) using a between-participants design, laymen were asked to assess the pain of white and black subjects and (2) again using a between-participants design, they asked students and medical doctors to assess pain between blacks and whites. In (2) they asked these 15 questions:
1. On average, Blacks age more slowly than Whites.
2. Black people’s nerve-endings are less sensitive than White
3. Black people’s blood coagulates more quickly–because of
that, Blacks have a lower rate of hemophilia than Whites.
4. Whites, on average, have larger brains than Blacks.
5. Whites are less susceptible to heart disease like hypertension than Blacks.
6. Blacks are less likely to contract spinal cord diseases like
7. Whites have a better sense of hearing compared with Blacks.
8. Black people’s skin has more collagen (i.e., it’s thicker) than
White people’s skin.
9. Blacks, on average, have denser, stronger bones than Whites.
10. Blacks have a more sensitive sense of smell than Whites;
they can differentiate odors and detect faint smells better
11. Whites have more efficient respiratory systems than Blacks.
12. Black couples are significantly more fertile than White couples.
13. Whites are less likely to have a stroke than Blacks.
14. Blacks are better at detecting movement than Whites.
15. Blacks have stronger immune systems than Whites and are
less likely to contract colds.
(I’ll cover these questions in a future article.)
Here is the table showing the respondents’ answers to the questions:
So they established that whites with no medical training hold false beliefs about black-white differences that then carry over to pain management. They showed in study 2 that medical students’ and residents’ apparently false beliefs about racial differences in the questions they answered showed bias in the accuracy of the recommended pain treatments. Hoffman et al (2016) conclude that:
The present work sheds light on a heretofore unexplored source of racial bias in pain assessment and treatment recommendations within a relevant population (i.e., medical students and residents), in a context where racial disparities are well documented (i.e., pain management). It demonstrates that beliefs about biological differences between blacks and whites—beliefs dating back to slavery—are associated with the perception that black people feel less pain than do white people and with inadequate treatment recommendations for black patients’ pain.
(See also the Psychology Today article on the matter.)
Similarly, Hollingshead et al (2016) reported that subjects, regardless of race, rated the white person more sensitive to pain and more likely to report pain than the black person. Whites reported that they were less pain sensitive and less likely to report pain than their peers. Blacks reported that they were more sensitive to pain while reporting more pain than their peers.
Interestingly, Trawalter, Hoffman, and Waytz (2012) state that black NFL players are more likely to play in a subsequent game than whites when injured, and that, as found in many other studies, blacks are more likely to feel less pain than whites. However, what the literature really shows is the opposite: blacks are more likely to feel pain than whites.
Kim et al (2017) showed that blacks, “Hispanics” and Asians had lower pain tolerance, higher pain ratings and greater temporal sensation of pain. They also showed that blacks had lower pain tolerance and higher pain ratings but no differences in pain threshold.
Blacks report greater pain regarding AIDs, glaucoma, migraine, headache, jaw pain, postoperative pain, joint pain and many other types of pain compared to whites (Green et al, 2003; Klonoff, 2009). Riley III et al’s (2002) results indicate that blacks show a stronger link between pain and emotions than whites. Obana and Davis (2016) showed that Native Hawaiian/Pacific Islander male and females reported higher pain scores than whites when it came to joint pain (but they were not significant). Bolen et al (2010) showed that work limitation, severe joint pain, and arthritis-attributable activity were higher for non-“Hispanic” blacks, “Hispanics” and multiracial people compared to non-“Hispanic” whites. Even American Indians, Alaskan natives, and Aboriginal Canadians had a higher prevalence of pain and pain symptoms than Americans (Jimenez et al, 2011).
Chan et al (2011) surveyed older Singaporeans. They found that Malay people had lower pain sensitivity compared to Chinese people, and that Indians reported greater pain sensitivity when compared with Malay and Chinese people. Australian women rated menstrual pain higher and lasting 36 percent longer than Chinese women (Zhu et al, 2010).
When it comes to potential mechanisms, physiological mechanisms are hypothesized by Campbell and Edwards (2012) who write:
For example, in comparison to non-Hispanic whites, African–Americans have reduced nociceptive flexion reflex thresholds ; the nociceptive flexion reflex is an electrophysiological, spinally mediated reflex, which is not amenable to voluntary control or subject to issues of response bias that plague self-report of pain experiences. This finding suggests that the observed ethnic differences in pain are unlikely to be fully explainable by sociocultural influences and hints that neurobiological processes may contribute to such differences.
Mossey (2011) shows that “Racial/ethnic minorities consistently receive less adequate treatment for acute and chronic pain than non-Hispanic whites, even after controlling for age, gender, and pain intensity.” Martinez et al (2014) showed that when it comes to colorectal and lung cancer, mixed-race individuals and blacks are more likely to report higher pain severity than whites. (Also see Shavers, Bakos, and Sheppard, 2010.)
All of the literature points in the opposite direction of the myths about pain sensitivity in regard to race: blacks feel more pain than whites and are more likely to have a lower pain tolerance. So the myths people hold about differences in pain between racial groups (mostly blacks and whites) are false. Pain is a subjective experience. And there will be differences in pain thresholds between individuals and racial groups and the causes may be both sociocultural and physiological in nature. However, this bias (in the wrong direction) speaks to what I wrote about last night: physician bias when it comes to blacks and other minorities.
Barr (2014: 183-184) writes:
Based to a certain extent on the attention given to his earlier publication, Todd moved to a faculty position with the Emory University School of Medicine, in Atlanta, Georgia. There he was able to essentially repeat his earlier study, this time examining persons coming tothe emergency room of a large, inner-city community hospital in Atlanta that was affiliated with Emory (Todd et al, 2000). He evaluated the medical records of 217 individuals coming to the emergency room over a 40-month period for treatment of an isolated long-bone fracture. Given the racial makeup of Atlanta, these included 127 blacks and 90 whites. They found that
- 54 of the blacks (43 percent) received no medication for pain during their treatment
- 23 of the whites (26 percent) received no medication for pain during their treatment
As with the earlier study in Los Angeles involving whites and Hispanics, in this study, the blacks were nearly twice as likely to receive no pain medication while in the emergency room. With this study, the authors were keenly aware of the importance of documenting the extent to which the patients expressed painful symptoms. By thoroughly reviewing the medical records of these patients, they found that 54 percent of blacks and 59 percent of whites had a notation in their medical record that they had expressed painful symptoms. The nearly twofold difference in withholding pain medication in blacks and whites was because the doctor didn’t order the medication, not because the patient didn’t want the medication.
This, again, speaks to physician bias when it comes to race in a medical context. Race is a useful tool in medicine, but to hold biases in the complete opposite direction that they exist in is wrong. This study—and many others—speak to the type of bias that physicians have against minorities in a medical context. Understanding that the differences in pain are actually the opposite from what is commonly believed by both laypeople and medical doctors is important: if blacks feel more pain than whites regarding the same injuries and they are not getting the care needed, then this speaks to physician bias. What Barr showed was that blacks were treated at the emergency room based on their ethnicity. This is wrong. Race/ethnicity is a useful tool in medicine, but to outright use it as an assumption for numerous factors makes no sense and could cause more harm than good.
Using race in a medical context is a good thing. But using race in a medical context using essentialist, outdated views about race is wrong and can lead to many horrible outcomes. Of course, using race in this context can and does lead to certain things being discovered over others. For instance, if one’s race is assumed to be “driving” one’s illness (i.e., that one has a disease that that race/ethny is more likely to have), then race can and is a good marker to use—specifically geographic ancestry. However, when it comes to things like pain management, this obviously leads to false ideas about how different groups manage and feel pain.
Views about racial differences in pain affect both laypeople and medical doctors. These views can be and are harmful. The literature points to the case being the opposite of what is believed by people: blacks have lower pain tolerance and higher pain ratings than whites. These types of differences are also found between many other races and ethnic groups. The causes could be both sociocultural and physiological. A person’s response to pain depends on their unique physiology, life experiences, ethnicity and other factors. Understanding how and why physicians are biased toward how blacks feel pain is important, along with addressing the other biases that they have about other minorities when it comes to a medical context. Race and ethnicity are important tools for medicine, but these are some of the ways that the concepts can be used with nothing good coming out of it.
Health by State and Racial Discrimination by Physicians
I’m currently reading Health Disparities in the United States: Social Class, Race, Ethnicity and Health by medical doctor and sociologist Donald Barr. In the book, he chronicles differences in health between races and ethnies, talks about the concepts of race used and cites well-known studies to people who read this blog, and he also shows that doctors are—either conscious or not—biased against minorities in certain medical contexts.
In Chapter 1 discusses the fact that, although Americans spend the most money on health care, Americans have a lower life expectancy and higher infant mortality rate than all other developed countries, showing the association in social inequality and health across all income levels and education. In Chapter 2, he asks the question “What is health?”, discussing many concepts of what “health” is. In Chapter 3, he defines “socioeconomic status” and shows the link between poor health and poor SES. In Chapter 4, he discusses the link between inequality and poor health, introducing the concept of “allostatic load”, which is the physiologic response to being in a spot of social disadvantage.
In Chapter 5, he looks at different race concepts, since it is a main premise of the book. In Chapter 6, he shows that minorities are more likely to be in a position of low SES. He asks, if minorities of the same SES as whites are consistently found to be of lower health than whites of the same SES, is it because those with poor health tend to be minorities, that they tend to have lower SES or both? In Chapter 7, he asks the same questions while focusing on children. In Chapter 8, he examines disparities in access to healthcare, showing that even when minorities have the same insurance and doctors that minorities still face worse health outcomes (he shows that they either do not receive appropriate healthcare or receive lower-quality care). In Chapter 9, he shows that physicians treat blacks and other minorities differently, albeit unconsciously. In Chapter 10, he discusses when—if ever—a physician would be justified in using racial/ethnic categories. And in Chapter 11, he states that not all of these disparities need to be eliminated.
In Chapter 2, Barr (2014: 45) presents this table, showing rates of illness and selective rates of death between States in America. Obviously, the one to look at that is different than the others is Mississippi. Mississippi is 37.5% black.
Wow, I wonder why Mississippi has such a high rate of obesity, diabetes, and hypertension (high blood pressure). Must be all of those obesity, diabetes and hypertension genes (HBDer).
Obesity and diabetes
The first thing to look at is median income. It is substantially lower in Mississippi compared to California, Iowa, and New York. About 23 million people in America live one mile from a supermarket, while black Americans are about half as likely to have access to supermarkets while “Hispanics” are about a third likely to have access to them (New York Law School Racial Justice Project, 2012). So when it comes to those who have to travel more than a mile for fresh fruit and vegetables, they have poorer health (Stack, 2015). So combine lower median income, along with food deserts and one can start to see how minorities have poorer health due in part to their SES. In short, living in a food desert can affect public health.
Blacks are the most obese ethnic group in America, and this relationship is largely driven by black women. Now, it’s not weird that women have higher levels of body fat than men, since women it is needed for physiological functioning. Though, there is something weird here: Black American men with more African ancestry are less likely to be obese (Klimentidis et al, 2016). Since black women and black men in America are in the same economic bracket, there must be something in the West African male physiology that “protects” them against central adiposity, though variation in social, environmental and cultural factors may play a role as well. In any case, the more West African ancestry American blacks have, the less likely they are to be obese. Klimentidis et al’s (2016) study “suggests that there are specific genetic variants and physiological mechanism(s) that differ among West African and European populations.”
Obesity affects more ethnies in America than others: non-Hispanic blacks and “Hispanics” are more likely to be obese than non-“Hispanic” whites and Asians (Hales et al, 2017). This could be due to, in part, to the variation in supermarket access and access to good foods—the concept of food deserts. Look at any low-income area near you. You’ll see a majority of corner stores with cheap, garbage food. The lack of ability to buy good food (along with the education to know what to buy and when to buy it) can explain differences in obesity rates—obviously not all. Obesity is related with diabetes, and sinec the relationship is so strong, the term “diabesity” was coined.
Eating cheap, processed carbohydrates spikes insulin. Repeated insulin spikes over time leads to type II diabetes and, eventually, obesity too. One can be skinny and have diabetes (a phenomenon known as thin on the outside, fat on the inside “TOFI”). However, since both diseases are co-morbid, we need to look at them in similar contexts. The higher rates of obesity can help to explain the higher rates of diabetes and hypertension—since those who are obese have higher blood pressure (Aronow, 2017).
Minorities are more likely to develop type II diabetes (Tuchman, 2011), and the cause of this is access to high-quality foods. But racial differences in obeisty and SES do not fully explain the higher rates of type II diabetes in black Americans; being a black American is a strong, independent factor for developing type II diabetes and this is compounded by low SES (Brancati et al, 1996). Zizi et al (2016) showed that both long and short black sleepers have an increased risk of developing type II diabetes. There are racial differences in sleep, with blacks having higher durations of long and short sleep compared to whites (Adenekan et al, 2013).
Now let’s look at hypertension (blood pressure). Blood pressure is a physiological variable. Since it is a physiological variable, it can and does respond to social/environmental contexts. So blood pressure can be affected by social contexts, too. For example, Williams (1992) cites stress, socioecologic stress, social support, coping patterns, health behavior, sodium and more for reasons why blacks have higher BP than whites. Dressler (1991) shows that the struggle to maintain a middle-class lifestyle is related to higher levels of BP. Similarly, Keith and Herring (1991) show that skin color is a strong predictor of occupational status and that darker-skinned blacks in America are twice as likely to experience racial discrimination than lighter-skinned blacks. This, too, can help to account for higher levels of BP between the races. In any case, Williams (1992) shows, definitively, that the causes of black-white differences in BP lie in the social environment.
Similarly, Non, Gravlee, and Mulligan (2012) show that racial disparities in BP are explained by education, and not genetic ancestry. They show that the association between BP and education was much stronger for blacks than for whites. Their results also support “the minority poverty hypothesis because the worst blood pressures were predicted for people who faced the double burden of being less educated and identifying as African American.” People who face discrimination could, and do, have higher levels of BP due to the stress they feel due to the discrimination. (Note that I take no sides on whether the discrimination is real or imagined, because even if it were imagined, it still leads to real physiologic consequences.)
Do note that there is a just-so story to explain how and why blacks have higher levels of blood pressure than whites: The Slavery Hypertension Hypothesis (Lujan and Dicarlo, 2018). This has all of the hallmarks of a just-so story posited by evolutionary psychologists. The story goes like this: Black slaves who were on the way to America in the Middle Passage had genes that favored better salt retention. So it is noted that black Americans have higher rates of BP than whites, and then they work backward and attempt to posit the best story possible to explain the current-day observation. This is the usual method evolutionary psychologists use—the method of reverse engineering, the inference from function to cause. So (1) note that blacks have higher levels of BP than whites; (2) infer the function to cause (blacks with genes that favored salt retention were more likely to survive; so (3) this is why blacks have higher rates of BP than whites. Though the explanation fails, since education, and not genetic ancestry, explains the difference in BP between blacks and whites (Non, Gravlee, and Mulligan, 2012). One only needs to understand the intricacies of physiology and how our physiological systems respond to what occurs in the greater environment.
So, obesity can explain both the higher rates of diabetes and higher rates of blood pressure, with differences in the immediate social environment explaining the rest of the differences in blood pressure between blacks and whites. (Note that heart disease deaths are directly related to hypertension. Heart disease affects blacks more than whites.)
In Race, Medicine, and Epigenetics: How the Social Becomes Biological, I shortly discussed breast cancer in black women:
Black women are more likely to die from breast cancer, for example, and racism seems like it can explain a lot of it. They have less access to screening, treatment, care, they receive delays in diagnoses, along with lower-quality treatment than white women. But “implicit racial bias and institutional racism probably play an important role in the explanation of this difficult treatment” (Hardimon, 2017: 166). Furthermore, black women are more than twice as likely to acquire a type of breast cancer called “triple negative” breast cancer (Stark et al, 2010; Howlader et al, 2014; Kohler et al, 2015; DeSantis et al, 2019). Of course, this could be a relevant race-related genetic difference in disease.
Now note the infant mortality rate between the states: the infant mortality rate in Mississippi is 9.7%. Smith et al (2018) show that black women are at a higher rate of having their infant die at birth. Pre-term births are related to low birth weights, and they both are related to infant mortality. Matoba and Collins (2017) write:
In the United States, African-American infants have significantly worse infant mortality than white infants. Individual risk factors alone do not explain this persistent gap, just as they did not explain the disparity in preterm birth and low birth weight. Recent studies in social determinants provide insight into the contribution of community and environmental factors to the racial disparity. Select community-level factors are potential, but partial, determinants of the racial disparity. Interpersonal and institutionalized racism is an important, and increasingly recognized, stressor for African-American women with damaging consequences to maternal and child health.
The Guardian ran a recent story on infant mortality and race, positing racism as a cause of the disparity. In any case, the social environment can and does play a part in everything discussed here today since the social can and does become biological. Part of the reason why Mississippi has a way higher rate of years of potential life lost (10,214 compared to 5500-5900 for Iowa, New York, and California) is that rates of infant mortality are higher in Mississippi. So the median age of death is 75. If an infant dies at one year of age, then that is 74 years of life lost. Therefore it is not surprising that the State with the highest level of infant mortalities has a higher number of years of potential life lost. Further, one 2017 review found that segregation was associated with increased risk of preterm birth and low birth weight for blacks (Mehra, Boyd, and Ickovis, 2017)
Note how Mississippi has lower rates of asthma. This is explained by the fact that Mississippi is more rural than, say New York. Rates of asthma are associated with living in a metropolitan area (Frazier et al, 2012; Malik, Kumar, and Frieri, 2012). (Note that blacks and other races have higher rates of asthma than other races.)
The lower one’s position is on the social hierarchy the lower their probability of staying healthy and having a high life expectancy; when people have the same type of health insurance and are treated for the same disease in the same hospital by the same doctor, that minority groups get worse health care, either not receiving it or receiving lower standards of quality in care. What could account for such disparities? I asked PumpkinPerson the question, and he said:
1) EGI: Doctors put more effort into saving coethnics: she looks like my italian grandma. I’ll make sure she gets the best medicine.
2) IQ: low IQ populations don’t understand the doctor’s advice and damage their health
3) r/K: some populations have faster life history so don’t live as long, even with good medical care
If (1), then the doctors need to be named, shamed, and have their medical licenses revoked. If (2), then they need better education (since IQ is just an index of middle-class knowledge). (3) is completely irrelevant, since it doesn’t make sense for humans and the concept is long-dead in ecology. In any case, PumpkinPerson danced around the true cause: differences in healthcare brought about by unconscious bias (of which (1) may be a cause). But positing (1) as a cause completely misses the point (and is the usual HBDer reductionism to genes causing most/if not all things). It’s the usual HBD/Rushtonian reductionism to genes. That’s all the HBD worldview reduces to: genes/IQ.
In any case, Reschovsky and O’Malley (2008: 229, 230)
Our results indicate that the minority makeup of physicians’ patient panels is associated with greater reports from physicians of difficulties providing high-quality care. At least some of this relationship appears to be explained by the lower resources flowing to high-minority practices.
The results of this study suggest that racial and ethnic disparities in primary health care are in part systemic in nature, and the lower resources flowing to physicians treating more minority patients are a contributing factor.
Thus, bias—whether conscious or unconscious—by physicians can explain how and why there are differences in health outcomes between people that have the same health insurance and doctor. Barr (2014: 168) states that “for black Americans, where a person lives sems to be associated with access to primary care, the quality of available hospital care, and the quality of available home care.” Barr shows that blacks receive a different level of care for a wide-range of diseases and illnesses compared to whites. For instance, Smedley et al (2003) write that “some evidence suggests that bias, prejudice, and stereotyping on the part of healthcare providers may contribute to differences in care.” Quite clearly, there is racial bias against minorities and it does seem to affect healthcare, whether or not it is intended or unintended (conscious or unconscious) (Williams and Rucker, 2000). Bird and Clinton (2001: 255) write:
Race and class-based structuring of the U.S. health delivery system has combined with other factors, including physicians’ attitudes—perhaps legacies conditioned by their participation in slavery and creation of the scientific myth of black biological and intellectual inferiority—to create a medical-social, health system cultural, and health delivery environment which contributes to the propagation of racial health disparities, and, ultimately, the health system’s race and class dilemma.
Blacks are more likely to take the advice of physicians, and to use the needed services, such as preventative care and are less likely to delay seeking care when the physician is of their own race (Saha et al, 2000; LaVeist, Nuru-Jeter, and Jones, 2008).
Blacks are more likely to perceive racism in healthcare and when they are able to choose their own doctors, they are more satisfied with their level of care (Chen et al, 2005). Chapman, Kaatz, and Carnes (2013) show that increasing awareness of implicit bias in healthcare can lower such disparities, stating that having more black doctors will alleviate such problems since they are less likely to be biased. Having a black doctor lead to more effective care for black men. Quite clearly, the race of the doctor matters for implicit biases and minority doctors lead to more effective healthcare for minorities, since they are less likely to be affected by racial biases. Minorities trust the healthcare system less than whites (Boulware et al, 2003). Black and white physicians even agree that race is a medically relevant data point, but do not agree on why (Bonham et al, 2009).
The table presented by Barr is telling. He purported to show that on certain indices of health, certain states fair worse than others. Rates of illness and rates of death between different states (with differing ethnic compositions) were compared. Using national data, he showed that Mississippi has the highest rates of death and illness (sans asthma). Social factors can and do account for the differences in hypertension between blacks and whites (and States); food deserts (lack of access to good food) can explain higher rates of obesity and diabetes and also higher rates of blood pressure between the races (and States with a higher percentage of certain racial/ethnic groups). Of course, physiological variables are affected by the social environment, so we have to look at differences in the social environment between groups to see how and why there are differences in any physiological variable we look at.
Doctors, whether consciously or not, treat minority patients differently and there is evidence that this leads to differences in health outcomes between ethnic groups in America. PP’s hypotheses don’t cut it (the only one that does it his “EGIs”, but that explanation fails; the cause is bias by the doctors but “EGIs” have nothing to do with the bias). In any case, there are social and cultural reasons why there are such health disparities between States and races/ethnies. Understanding the causes behind them can and will lead to closing the gap between them. The social can and does become biological, and this is the perfect way to show this. There are ways to lower the disparities in a medical context, and education seems to be one of them—for both patient and doctor.
Some states are healthier than others based on objective measures of health and mortality, and understanding the reasons why can and will decrease these differences.
Cranks in Anthropology
The following will not all be anthropologists by trade or certification, but each carved their own little niche the distorts research. I will address them in way that reflects the weird way they are all connected.
Bruce Fenton: So thanks to RR, I’ve learned how he once peddled crap such as “giants“, among other things. Needless to say, that answered alot of my questions I had after taking apart his article on his book a while back.
Jeffery Schwarz and John Grehan: Now, to be fair, these guys deserve somewhat more credit in their premise, that is regarding the morphological links with orangutans and humans. It has some basis in how humans evolved, originally being arboreal and not knuckle walking. However, their approach of preferring inheritance based on external morphology over coding DNA and overall genetics has been criticized again, and again, and again, and again.
For clarification, I found them from an Indian study on Hominid development in Fenton’s spurces, which focused on bipedalism. It noted an “Asian hypothesis” of human origins. Technically, Grehan proposed an African-Asian distribution, and as of now Schwarz’s actual hominid data currently works with OOA as a base model while adjusting it. So it doesn’t support Fenton even if Orangutans were the actual ancestors of humans.
It’s worth mentioning as well, the commenter “Marc” in the Grehan link is a crank as well, but not for today.
Shi Huang: Shi Huang here is the only other major researcher I know of who has actually produced any notable difference in the Human-Chimp clade finding, on top of rejecting OOA.
The implications however stray further from the Cann study than Fenton’s. In fact, if you read the link on phenotypic association of human populations…it’s kind demonstrates the futility of using external phenotypes.
Overall, his theory on Africans being Denisovan and Neanderthal admixed humans doesn’t align with Haplogroup associations touched upon previously in my Fenton article linked to Dienekes, the nature of the East African cluster mentioned in my article on modern Africans with A and B y chromosomes making up the majority of Eurasian affiliated Nilotics, and my previous article on the post Neanderthal substructure making up the majority of African genetics.
Now compare all of these inferences, to this-
Fossils or traits indicating AMH migration from East Asia into Africa or Europe have
been noted before. First, native Africans such as Khoisans are well known to have certain East Asian features such as shoveling teeth, epicanthic fold, and lighter skins. Mbuti pygmies look very much like the Andamanese. The much lower frequency of shoveling teeth in African fossils and Khoisan relative to ancient and modern Chinese suggests that this type of teeth could only originate in China with its African presence due to migration. The type of shoveling teeth found in Neanderthals and Pleistocene Homo from Atapuerca-Sima de los Huesos may either be a different type from that of Asians and Africans or come from early disposal of Homo from Asia to Europe (Martinon-Torres et al., 2007; Wolpoff, 1996). Second, a combination of three features has been noted to be region-specific to China fossils with lower frequency also found in North Africa: a non-depressed nasal root, non-projecting perpendicularly oriented nasal bones and facial flatness (Brauer and Stringer, 1997). Third, Dali man of China (~250,000 years ago) had lower upper facial index and flat nasomolar angle, but these two modern features only first
appeared in Europe in Cro Magnons (Xinzhi Wu, personal communication).
I’ll admit I’m no expert in genomics, but having at least looking over the Dali paper and comparing it to this, I think anyone else who has sense and had done the same would come to the same conclusion as I would to dismiss this paper as the leaps and assertions it makes are vast and at times amateur. Wu Xinzhi apparantly read this himself, but recalling his own paper and work he was much more cautious and more involved in this kind of data. As particular as his theory was, it never devolved into statements like this.
That humans have been a single species for more than ~2 myr is consistent with the
unique feature of being human, i.e., creativity, which could be defined as constant creation of novelty. Intentionally made and constantly improved knife type stone tools, first appeared 2.3- 2.8 myr ago, may be beyond the capabilities of non-humans and mark the first appearance of creativity in life on Earth.
The appearance of modern humans should be accompanied by new technologies just as
the knife type stone tools were associated with the first appearance of the genus Homo. A technology just one step more advanced than stone tools is pottery making. Consistent with our model, the earliest pottery making intended for practical usage was found in Hunan and the neighboring Jiangxi in South China at 18,000-20,000 years ago (Boaretto et al., 2009; Wu et al., 2012). While future investigations could extend the time even earlier, one should not expect a new technology to appear simultaneously with the first appearance of AMH since it would take time for the first modern humans to grow into a large enough population to be able to invent new cultures. It is also remarkable to note that the next new invention after pottery, rice or agriculture, also likely came from Hunan (Zhang and Yuan, 1998). Both the link to his blog post on OOA and this slightly dismissal post on his work shows an ardent defender of his, one that should be very familiar.
German Dziebel: It only takes a short cross-reference to see his BS. Basically, he’s pushing some sort of hypothesis that undermines the divergences of Pygmies and Bantu farmers. This basically mean ignoring the conclusions from his own sources on genetics, here, and here. He confuses the pygmy phenotype, which is shown to be independent, with the pygmy genetic cluster. This is disingenuous to anyone familiar with the topic. He is correct that they are not genetically unrelated due to the geneflow, which accounts for language, but his proposal to explain this primarily on recent splits is contradicted by full genetic research tackling the matter.
On the Shi Huang paper, he says that the Chinese lack the possibility of “bias” Americans feel to support OOA based on guilt of African American discrimination. Perhaps, yet that doesn’t explain Manzi on the Ceprano skull, nor does that explain this paper showing Chinese lacking the substructure expected from the more popular idea of regional continuity, which actually shows bias on behalf on the Chinese to push a theory. Likewise, Wu Xinzhi who proposed the hypothesis even stated it wasn’t mutually exclusive with OOA.
I’ve been saving this as an article concept due to how amazing it was to come across each of them twice after what started as a simple cross reference. This shouldn’t, however, be read as someone who is against changes to the mainstream, but as someone with actual scrutiny on scientific stances. I can accept the meaningfulness of Orangutans, Australians, and Chinese archaic humans in modern human origins.
Reviewing Ancient Sub-structure in modern Sub-Saharans
In my absence a lot has occurred in researching African substructure since the Ballito boy paper a while back.
I’ve somewhat touched upon this subject previously in two relevant articles, one of which I will provide a short update on regarding “cranks” in population history, including Bruce Fenton, in the future.
The structure of this article will be outlining the general and particular ancestral groups linked to modern Sub-Saharans, briefly putting them in context of OOA, and attempting to approximate them in the form of fossilized specimens. The ancestry analysis will start from the most recent data to the most ancient data discussed (that is shortly before the Holocene towards the branching of H. sapiens from other relatives from H. Ergaster from about 0.5-1 mya) as it will only be more complex from then on.
The first layer will be the finding from the Mahgreb remains that date about 18k, showing profile that is approximately two thirds Near Eastern hunter gatherer, 1 third Sub-Saharan but showing no particular affiliation to a modern sample. It is only slightly shifted towards the Hadza, perhaps suggesting the ancient Eastern African cluster that preceded Basal Eurasian. This shows two things, one the antiquity of back migration to Africa and the oldest DNA sample that is directly linked to modern Sub-Saharans. This could possibly be part of a previous human culture, which may have been part of the migration that lead to modern West Africans. I, however, hesitate to suggest they are direct ancestors. It provides a rough portrait of ancient North Africa nonetheless, a location I particularly figured to be relevant for clues on modern sub-saharans given the different geography of North Africa at the time of the “Wet Sahara“.
The next finding is the break-down of DNA among Western (Yoruba and Mende), Eastern (Nilotic), and Southern (Khoi-San) Africans. The findings show that, in accordance to the Ballito Boy study, Western Africans are a mixture of Ancient East Africans and Basal African Sapiens, Khoi-Sans are derived from the basal Branch at around 250k-350k, and Nilotics are mostly of the 70k-80k branch. However, what it shows is that these populations exchanged genes, particularly between Eastern and Southern Africans. In the case of West Africans, the Yoruba more so then the Mende. I suspect that this could explain the Igbo from the African Genome project showing signs of hunter-gatherers that are more like the Khoi-San than Pygmies at low percentages.
( 1/22/20 Edit: This recent study breaks it down wih Hunter Gatherers having roughly 4% while farmers have 5.8% of a similar AMH species that diverged slightly after neanderthals. Kabwe may be the best comparison).
Archaic DNA is where it gets interesting however. I’ve already discussed the 140k-150k admixture event that lead to modern variation of MCU7, but two canididates have came up. One, predictably by this point, is an archaic human ancestry at about 8% in Yoruba, using the same methods to detect 2% archaic DNA in pygmies, dated around 460k-540k , roughly after the divergence of Sapiens from Neanderthals based on another study. The first study however distinguished it from that of the Pygmies, which seems to be older compared to the estimates in this study. The dating of the Pygmy’s admixture is also set around 30k, while the same study dates that of the average Sub-Saharan at 9k. The TMRCA is place at around a median of 1.0 mya based on the overall candidate loci, this seems to align nicely to the age of the MCU7 phylogeny in Africans compared to that of Eurasian Archaics. This is however older than the admixture found in Hammer’s study, suggesting late Erectus. This can be resolved by the conclusion of Hsieh’s study. That is, archaic admixture in Africa was found to be weak, though continuous. This could mean that while penetrating new ecosystems, Hominid interaction what short but often, accumulating alot of layers in small degrees, preserved due to advantageous traits as seen in Neanderthal’s immune system genes. These genes were in turn a trait of the common ancestor that Sapiens lost.
It is therefore possible that archaic admixture could contain different archaic admixture within it based on this behavior. A previous study’s results of loci with ages similar to that of the Neanderthal divergence in hunter gatherers supports this, being somewhat intermediate between the MCU7 population and the Basal African. This particular one, however, may very well be tied to a larger finding.
A revised study finds archaic African admixture prior to the split, yet it isn’t African exclusive and seems to have occurred prior to the OOA split. It is only a preprint, but it aligns with what we may have assumed given how long archaic and modern linegaes have mixed. However, as opposed to the continuous flow inferred from pygmies, this particular event was strong and rapid. The researchers likewise note on page 4, though against models of an TMRCA after that of Neanderthals, do not rule it out as a scenario in African substructure. This acknowledges the point made by Razib awhile ago that substructure in Africa reflects the complex development of hominids there. This even pertains to even the Sapiens specific line.
I will now briefly outline the following fossils relevant to modern African population substructure. At the most diverge, early homo found at the Ishango area. I would like to mention that I doubt it mated with Sapiens directly, as the sediment analysis would suggest. Rather, I believe this specimen would genetically contain the variant of genes multiple studies have found to be under selection in African hunter-gathers. The Late Erectus found in Hammer or the Rhodesiensis-like specimen in the initial ghost population models for the Yoruba and Mende I believe were the actual populations that interacted with Humans while possibly carrying these genes.
Late Erectus, or Ergaster, then is represented by Tighenif or Rabat. The latter species can be presented by Bodo or Kabwe. The Kabwe, however, seems to be within Erectus s.l based on internal anatomy than a Petralona equivalent to Sapiens as Bodo is suggested. That is, relative to Bodo or Florisbad, it lacks specializations towards Sapiens. The Ceprano studies however show it nonetheless to be more within the range of overall morphology towards Middle Pleistocene Hominids rather than Ergaster.
(Edit: The Post- LCA admixture could be represented by the two specimens above as well, and I would likewise add a Sapiens Intermediate as well, Florisbad. This status seems to have been replicated here, here, here, here and here. The similar Eliye Springs skull bridges the gap towards Sapiens.)
The next specimen would be the Ceprano skull, the best morphological node for the species Sapiens, Neanderthal, and Denisovans for their LCA. This is significant as it thoroughly rebukes Fenton by his first mistake, dismissing the morphological data in Western Eurasia and Africa. It is shown to be distant from Asian Erectus and seems to represent a “Homo Erectus Sensu Lato” that developed derived traits that would be continued into a trajectory seen in Africa. This is supported by Mounier’s analysis that hypothesized the LCA to be closer to African than European samples. Likewise, his analysis with Manzi shows Erectus/Ergaster tendencies in morphology in partiuclar areas rather than Neanderthal. Manzi also acknowledges a potential morphological link in Africa as well. Therefore we can attribute the LCA detected in DNA in Africans and non Africans by the revised preprint to the above specimen.
(Edit: Manzi has additionally, without confusion, located such an African ancestor to the Hiedelbergensis morphology of Ceprano at the Gombere site.)
Basal Humans, likely the migratory population 148k years ago, would be presented by the Iwo Eleru skull. Jm8 mentions of their relation to similar specimen and DNA sequences found. Likewise, they seem to be responsible for A00.
My previous article has previously mentioned the resulting phenotypic diversity in Modern Africans by way of their skulls. However, I will briefly touch upon some recent examples from my bin of sources.
Klasies River 100k : More so “modern” than Florisbad but shows no particular phenotype towards Khoisan.
Border Cave 100k-50k: Speculated once to be linked to modern Khoi-san, however modern studies shows that it is only apparent much later. General considered “Modern“.
Lukena Hill Crania 20k: Similar to late Pleistocene North Africans, rare morphology in modern samples. Best represents pre-holocene humans prior to gracilization along with 33k Nazlet Khater. The latter skull could likewise conform to Khoi-san ancestry prior to Gracilization in the Holocene.
Matjes River Crania 9k: Joins other Holocene skulls displaying Khoisan morphology.
Nakuru IX: Odd skull with not much literature, somewhere from southern Africa and dated around 17k, yet aligns with Bantu. This book, which provides a very close continuum in morphology that I’ve been following, dates it as Holocene with some Khoi-san samples. This suggest that at some point it was re-grouped.
Concluding remarks, I have left out alot of other significant details that could give direction in what to investigate in future findings. I encourage that readers go over the original articles themselves to notice other significant findings, such as the relevant positively selected features associated with them. I, may likewise, touch upon the sequences of morphology, paleo-environments, and archaeology in the future. For the time being, we have acquired both game-changing evidence of ancient substructure and a refined continuum of homo evolution in recent years.
Black and White Skin
Skin color is the first thing you see when you see someone. Skin color has many uses, and the color of one’s skin can give you a general idea of the type of climate one’s ancestors evolved in. The lighter one’s skin is may tell you that their ancestors evolved in low UVB radiation, whereas the darker one’s skin is may tell you that their ancestors evolved in high UVB places. So this tells us that as migration occurred out of Africa, skin needed to lighten in order to synthesize vitamin D in low UVB climes. Note that I won’t make any claims about any skin color being an adaptation to any climate; I will just state that there is a strong association between UVB and skin color—the higher the UVB the darker the skin and the lower the UVB the lighter the skin.
The skin comprises about 16 percent of the human body, making it the body’s largest organ (D’Orazio et al, 2013). There are two layers to the skin, the dermis and epidermis. The outermost layer of skin—the epidermis—is the point of contact with the environment. So since this is the case, then the number of UVB rays in any given environment will dictate the color of one’s skin—in an ancestral manner.
So the most important factor in skin color is melanin, which is produced by melanocytes, but it accumulates in the keratinocytes of the stratum basale (the deepest layer of the five layers of the epidermis) and the stratum spinosum (the layer between the stratum granulosum and the stratum basale). Two forms of melanin exist: eumelanin (which is brownish black) and pheomelanin (which is reddish-yellow and contains sulfur).
In his textbook Anatomy and Physiology: The Unity of Form and Function, professor Ken Saladin writes:
People of different skin colors have essentially the same number of melanocytes, but in dark-skinned people, the melanocytes produce greater quantities of melanin, the melanin granules in the keratanocytes are more spread out than tightly clumped, and the melanin breaks down more slowly. Thus, melanized cells may be seen throughout the epidermis, from stratum basale to stratum corneum. In light-skinned people, the melanin is clumped near the keratinocyte nucleus, so it imparts less color to the cells. It also breaks down more rapidly, so little of it is seen beyond the stratum basale, if even there.
The amount of melanin in the skin also varies with exposure to ultraviolet (UV) rays of sunlight, which stimulates melanin synthesis and darken the skin. A sun-tan fades as melanin is degraded in older keratinocytes and as the keratinocytes migrate to the surface and exfoliate. (Saladin, 2010: 194)
Skin color is one of the most significant factors involved in colonizing a certain, new, area where the skin color the group has is not conducive to life in that clime. So, when the out of Africa migration occurred, skin color needed to lighten as to better confer survival in the new, colder climes. Though, there is an anomaly: Arctic peoples. Why is their skin dark—at least relative to other peoples who live or have lived in colder climates?
Think about life in the Arctic. It is pretty much all white. Food is scarce, and they eat a lot of animal fat and protein. Now, think about the ice. The ice reflects UV rays onto the skin of the Arctic people, making it not as light as, say, Europeans and East Asians.
A term I’ve heard a lot over the years is “Black don’t crack”, speaking to the fact that a lot of black people look young, even into old age. What, if any, is the physiologic reason behind this? For instance, Vashi, Maymone, and Kundu (2016) write:
Individuals with darker skin are overall thought to have firmer and smoother skin than individuals with lighter skin of the same age
Rawlings (2006) states that “Caucasians have an earlier onset and greater skin wrinkling and sagging signs than other skin types and in general increased pigmentary problems are seen in skin of colour although one large study reported that East Asians living in the U.S.A. had the least pigment spots.” Blacks have more corneosome layers than whites (21.8 cell layers compared to 16.7 cell layers). There is no difference in skin thickness between whites and blacks, so black skin is thought to be more compact with greater intercellular cohesion (see also La Ruche and Cesarini, 1992). Take transepidermal water loss (TEWL)—the total amount of water vapor lost through the skin and other appendages through non-sweating conditions. Since the Asian corneum is thinner, it takes fewer tape strippings to decrease TEWL compared to blacks who take more tape strippings, while whites are in the middle. (Though some studies note no difference).
Rawlins (2006: 85) notes that Sugino, Imokawa, and Maibach (1993) state that TEWL is greater in the order of Blacks > Caucasians > Hispanics > Asians.
So why does it seem that blacks, on average, age less than whites in the fact? I can think of one main thing: Their darker skin protects them from the effects of photoaging due to the melanocytes their skin produces. The opposite holds for whites—white skin produces fewer melanocytes and therefore is less protected against UV rays from the sun. Therefore lighter ethnic groups are more likely to have damaged skin compared to darker ethnic groups, and the main driver of this is the number of melanocytes produced by the skin. Rawlings (2006: 87) even writes that “Overall I would expect less signs of aging, i.e. maintenance of skin elasticity in darker skinned individuals [Negroids are reported to have an intrinsic sun protection factor (SPF) value of approximately 13].”
Rawlings also writes (pg 89):
In African Americans photoaging appears primarily in lighter complexioned individuals and usually does not appear until the late fifth or sixth decade of life.
There is another factor when it comes to skin: sweat glans. I have covered in the past the fact that Asians have fewer apocrine sweat glands than whites and blacks, while blacks produce more chloride in their sweat compared to whites. Prokop-Prigge et al (2017) state “that an individual’s ethnicity has a significant impact on human axillary odor production.” Blacks also have around 70 percent more lipids in their hair, while having larger sebaceous glands than whites.
So skin color dictates numerous changes in the skin which are associated with aging. Skin aging is associated with lighter-skin, whereas hyperpigmentation is associated with darker skin. Asians have lower TEWL, highest water content, and highest skin color lipid levels while the opposite is seen for blacks. Blacks have greater gland pore size, and increased apocrine and apoeccrine sweat glands along with greater sebum excretion. White skin has an earlier onset of aging, skin wrinkling and loss of elasticity. So there are differences in ethnic skin color and structure and function, and this causes the differences we notice between ethnies and how they age.
Campiche et al (2019) write:
There is differential manifestation of aging signs in different ethnic groups.
Our results show that Africans from the African continent show delayed signs of aging compared to Caucasians.
They found no differences in forehead wrinkles between Caucasians and Africans, though there was a difference in depth of forehead wrinkles. Blacks showed less advanced crow’s feet than whites, while also having less depth. There were no differences in mouth frown lines with the exception of depth and wrinkle surface and volume parameter, of which there was an increase in Caucasian subjects compared to African subjects. Though when it comes to the length, surface and vertical lines in African subjects they showed more advanced aging but there was no difference in depth between the races. Caucasians had bigger nasiolabial folds (smile or laugh lines) than Africans, regarding length, surface, depth and volume. Africans had deeper pores than Caucasians. Africans had a greater homogeneity than Caucasians when it came to skin color. (Note that the cohorts came from France and Mauritius.)
Campiche et al (2019: 12) write:
This is also in line with the fact that photoaging in African Americans does not appear until the late fifth or sixth decade of life.22 This may explain why aging in our Black African cohort from Mauritius is less pronounced than in the Caucasian cohort although the Black African cohort is older.
The difference in age between our Caucasian and Black African cohorts (median age 46 years vs 56 years) could bring into question the comparisons of the two cohorts. Nevertheless, we mostly found that Caucasians displayed more severe signs of aging than Black Africans which is in line with the common understanding that the onset of aging in fair skin starts earlier than in darkly pigmented skin and that there were differences in the appearance of lip lines and facial pores.
So differences between the two ethnic groups come down to facial site, and measurement parameter. This study further buttresses the point that, at least when it comes to certain ethnic groups, whites age faster than blacks—even when the whites are younger than blacks (46 compared to 56 years, respectively).
When it comes to skin color and desirability, though, we see something else: light skin being prized, whereas dark skin is shunned. Jablonski (2010: 188) writes:
As we have seen, for much of recent history and around the world, pale skin has been prized to such a degree that people have been willing to risk illness and disfugurement to obtain it.
[and also on pg 177]
Preferences for light skin have arisen independently in many cultures, and they have been reinforced when different “cultures of lightness” have come into contact. Because having lighter skin has often been associated with higher social status, success, and happiness, people over the ages have sought to become lighter by various means.
I won’t ruminate on the causes of this, I just wanted to make a note of it at the end of this piece on black and white skin color.
In sum, there are many interesting differences between black and white—and even Asian—skin. Better understanding of these kinds of differences will lead to better skin care for all races, and dermatologists can then use that information to give better case based on race/ethnicity/skin color to a certain individual. We know what causes differences in skin color between individuals and groups—melanocytes. We also know that skin color and UVB radiation are strongly related. We know that there are numerous differences in skin biology when comparing different peoples whose ancestors have evolved in different climates. So understanding these differences can and will lead to better healthcare for all populations.
Watching from the Sidelines: More Thoughts on That High-School Running Competiton
Two months ago, I wrote about the two transgender high-school athletes in Connecticut that competed in the in-door running competition. Of course, the two top-placers were the ones who went through male puberty. There is a short interview involving some of the competitors in that specific competition. One of the girls shows her face—the others do not, because they fear the repercussions of discussing this. They are scared of airing their grievances due to “the far left” as one of them says. And this is a completely rational thing to do, especially if they are attempting to make track a career and compete in college.
In any case, the one girl—Selina Soule—who does show her face in the interview levels some solid points. (The quotes are from Selena and they come from 8th Place: A High School Girl’s Life After Transgender Students Joined Her Sport.)
“When I’m at the start of the race, when I’m lining up and getting into my blocks, everyone already knows the outcome. Those two athletes are going to come one and two, and everyone knows it.”
Now, think back to what I wrote about the two individuals who took first and second place. You can see in the pictures from the competition that they have extremely narrow bodies—specifically narrow hips—compared to the actual female competitors. In the previous article on this matter, I discussed numerous variables that men have that are more conducive to success in running sports. Such as larger stroke volumes, smaller Q-angle, and larger hearts. Testosterone stimulates red blood cell production. This is important during exercise, since the more blood that can get to the muscle means that the muscle can work harder.
Sprinting is a full-body sport—each part of the body needs to work in harmony. So, if the whole of the system of individual A is better than B, then A will most likely win. Take A to be a transgender runner who went through puberty and “presents” as a “girl.” Take B to be a normal girl who went through a female puberty. They were exposed to differing levels of steroid hormones (estrogen is a steroid, too—the main differentiator between men and women). So, even if A takes hormones, A STILL had the physiological and anatomic advantages from going through male puberty.
So, to take the girl’s point that “everyone already knows the outcome”, this is on its face already true. In a competition like this, one can get a general idea on the results of the event by looking at the somatotype differences between the girls. Of course, some girls have a narrower frame than others—but the thing is is that they were not exposed to a male puberty, and so, while they do have certain (natural) advantages over other girls, they do not have the main advantage that these transgender runners had.
“No one thinks it’s fair, because we all know that males are physically stronger than females and they compete at a higher level.”
Men have 63 percent more muscle mass than women, which is related to their higher levels of exposure to testosterone both developmentally (in the womb) and during puberty. Most of this muscle mass is located in the upper-body, with men having around 75 percent more arm muscle mass than women. This difference then translates to about a 90 percent higher upper body strength in men over women. Sex also explains about 70 percent of the variance in muscle mass and upper body strength in humans. Men have 50 percent greater muscle mass than women and their lower body strength is about 65 percent greater (see Lassek and Gaulin, 2009).
Let’s get back to development and puberty. If testosterone explains a lot about why men have more muscle mass than women, and muscle mass is conducive to success in sport (in this instance, running), then if an individual is exposed to higher levels of testosterone during development and at puberty—along with the conducive somatotype that is involved with success in the sport—then they will necessarily be better. Even a transgender athlete that has “transitioned” or “presents as” a girl/woman WILL necessarily be stronger than any girl/woman who did not, on average, since they were exposed to way more of the hormone testosterone then they were.
Here’s the most ridiculous part about this. Back in March, House Speaker Nancy Pelosi passed the Equality Act. Now, of course, individuals should not be discriminated against, that is wrong. The relevant part about this, though, is that this Act can make it so that transgender athletes can just “declare to be” female without any evidence of any changes to their bodies. (And, I have argued at length that, even if they did go through such “changes” that they would still have inherent, unfair, advantages over bio-women).
This will mark the end of women sports if ONLY one’s gender identity is the basis for who they will compete with—there will be men’s sports and unisex sports, and if that is to be the case, then I feel that most girls would just stop competing.
“It’s giving the transgender females the right to compete with biological females and eventually it’s going to get to the point where the biological females will be on the sidelines, watching their own sports.”
“It’s very frustrating and hearbreaking when us girls are at the start of the race, and we already know these athletes are going to come out and win no matter how hard we try.”
This is the biggest problem of all. With the creation of the Equality Act, we can imagine this scenario. Individual A (a male) competing in competition C does not do well. They then change their gender identity to compete in women’s sport. They will then blow away the competition. How is that fair? If you were a girl who competed in, say, track, and you saw someone who you knew would win even before the starting gun, what would that do to your will to compete? What would that do to your confidence?
Now, I can already here trans-activists say “Just try harder! Train harder!” Statements like that are jokes. No matter how hard they train, no matter if they give it their all to win, the transgender females will just decimate them.
“My freshman year in outdoor, I saw at the 200 start, this girl who looked kind of masculine. Her arms were much more defined than the average girl’s, and same with her legs, but she had long hair, long braider hair, and I didn’t think much of it. And then I watched the race, and I saw that this girl was blowing away the competitors, and I thought, “Hey, this isn’t right. This usually doesn’t happen.” And then later, in that same meet, I found out that athlete was a transgender female.”
How the hell is this in any way, shape, or form, fair? Quite clearly, just by looking at this person’s anatomy—arms that “were much more defined than the average girls, and same with her legs”—we can make a very solid educated guess on what will go down at this competition. I want to know what is going through the minds of these athletic directors who allow this sort of thing. What are they thinking by allowing it? Do they not realize that they are—with others—setting a precedent to change girl’s and women’s sport forever?
“And then in outdoor last year, there was another transgender that came out and she competed as a male for three seasons, and was mediocre as a male. And then ended up transitioning over to female, and, again, blew everyone out of the competition.”
And there we have it: Any male who is mediocre can then “declare his gender to be” female and then compete with the females and then have way better standing in the competition that he is now competing in. Can’t cut it in the male event? Just say you’re a woman! (Think the movie Juwanna Mann.) That’s like me being a mediocre lifter, and then declaring my gender to be female so I can compete with the women and then I blow away the competition. Is that fair? No, it’s not.
Soul’s mother brought up a very good point: Selena placed 8th in State final, and the first two spots were taken by two “boys who identify as girls”. If those two competitors did not compete, then Selena could have more than likely taken the 6th spot and went on to the New England Championships. When it comes to high-school sport, this is really ridiculous. They are screwing girls who could get good scholarships and looks from scouts from different Universities around the country.
“No one thinks it’s fair, but everyone is afraid of retaliation from the media, from kids around their school, from other athletes, coaches, school administrators. They dont want to attract attention to themselves, and they don’t want to be seen as a target for potential bullying and threats.”
Of course, if the girls who were anonymously interviewed by The Daily Signal identified themselves, they could be screwing up future chances and their current relationships. The fact that Selena is doing this out in the open shows her courage and her will to fight for what she—and rational people—believes is right. Here is what the anonymous girls said:
Girl 1: “Watching them run was just heartbreaking. I mean, you almost don’t even want to watch, but how can you not? You can clearly see these two biological guys just absolutely crushing it and it almost brings you to tears.”
Girl 2: “We’ve competed head to head with these people many times, and it hurts to see them win when you know that you probably should’ve won.”
Girl 3: “There’s really nothing else you can do except get super frustrated and roll your eyes because it’s really hard to even come out and talk in public just because of the way with the far left and how immediately you’ll just be shut down. We are totally accepting of who they are and who they want to be. We just have an issue when it comes to sports.”
Each girl brings up a great point: (1) It would make one not want to watch AND not want to compete because they know that their attempts at winning are futile. (2) Girl 2 said that they’ve competed against them many times, and, of course, they have won. What would it due to one’s confidence knowing that there are individuals there with such unfair advantages? Yes, I know that the other day I said that sport is all about watching people with inherent advantages—watching the best-of-the-best. However, there is a difference here: The best-of-the-best when it comes to men and women are two completely different things. For, if this is the case, why not just eradicated women’s sport all together? (3) Makes perhaps the best point of all. One cannot come out and air their grievances because “the far left” as so succinctly stated by girl 3 would shut you down without even hearing what they would have to say and their feelings on the matter.
“With the case in Connecticut, it can be difficult showcasing my talents to coaches from around the country, as they only look at the results online. They see the first and/or second place girl so far ahead of the rest of the girls. And they’re going to reach out to and try to recruit those two top giels versus everyone else, since they’re so far behind in time.”
This is the most ridiculous part of this whole fiasco. Selena makes a good point that since recruiters only look at results online, that they will see the disparity between the top two placers and the others and only go to speak to the top two. For example, Miller’s (one of the transgender athletes) time in the 55 m dash was 6.96 seconds; Yearwood’s time was 7.01 seconds (the other transgender athlete); and the third place winner’s—a biological female—time was 7.23 seconds. A coach looking at this time online will not even look at the third placer and will only look at the top two—biological males. I wonder if those who allow these types of things in high-school sport truly understand what they are doing. I wonder if they truly understand that they are possibly screwing the careers of some of these girls since they may get overlooked by scouts.
I think it’s gotten to the point where some girls are starting to stray away from those events, and are hoping to go to other events, so then they actually have a fair chance of winning. In my case, I have my field event, long jump. That was my safe haven, if you want to call it, where the results were fair no matter what because it was girls competing against girls. But now, unfortunately, one of those [transgender] athletes has started to compete in long jump, so now none of my events are safe. It’s frustrating when you know that you run your best, and no matter what, your best is never going to be enough.
So even Selena’s other event is getting taken over now. Where will it end? Will we see the de facto elimination of girl’s sport throughout the country one day? Will it be men’s sport and co-ed sport eventually (with of course bio-males taking the top spots)? Take the long jump. Men have a larger abundance of type II (fast twitch) muscle fibers than women who have an abundance of type I (slow twitch) fibers. If Selena is now competing against bio-males, and muscle fiber typing DOES NOT CHANGE, then, of course, there is another unfair advantage that these competitors have since they went through male development and puberty. The same point on muscle fiber typing can then be made in regard to the 100 and 200 m competitions as well. No matter how hard they try or train, what they do will never be enough. How is that fair?
For these girls and others to feel better about this fiasco, they should—in their minds—know that the true competition was between the 3rd place and lower, even though it will not fix the problem that they will be overlooked by scouts since their times are so disparate compared to that of the “winners.” When will this be put to an end? When women are on the sidelines watching what is supposed to be their sport while they watch a slew of men who identify as females take over their sports? Will we eventually have co-ed sports and male sports with the de facto elimination of women’s sport that the Equality Act will put into effect? These types of questions are best answered by sport ethicists and philosophers of sport (I will discuss them in the future), and I, personally, await what some of them have to say about matters like this and similar ones.
I can, of course, see trans-activists clamoring about how “bigoted” and “trans-misogynist” that Selena and her teammates are being. That is irrelevant. They are airing their grievances about how they feel about their sport being taken over by boys—no matter if they “identify as” girls or not. For if girls do not speak out about this now, then they will eventually lose their sport and women’s sport will become co-ed sport—effectively eliminating women’s sporting events. Is that what people would truly want in the name of “equality”? Wouldn’t true “equality” be having separate events for trans-athletes? What about Kerr and Obel’s (2017) argument that sport should be segregated by attributes conducive to success in that sport? I think that’s a route that can and should be tried—and girls like Selena would then still get to have fair competitions.
However, as of today, it is complete bullshit that these girls are competing with boys and people look at it as OK. It is bullshit that the three girls had to conceal their identities because they fear repercussions from their classmates, teammates, and administrators. Selena is brave for airing her grievances publicly and putting her name and face out there on issues she feels strongly about. I hope all goes well for her in the future and that scouts will eventually look at her, and not the two blowing away the competition. Is it any surprise when men have so many physiologic and anatomic advantages over women (see Lassek and Gaulin, 2009 for muscle and strength differences)?
If nothing is changed, girls will be watching their own events from the sidelines.
Usain Bolt, Michael Phelps, and Caster Semenya: Should Semenya Take Drugs to Decrease Testosterone Levels?
In the past week in the world of sport, all the rage has been over mid- to long-distance runner Caster Semenya. Semenya has won the 800 m in 1:56.72 and setting world records in the 400, 800, and 1500 m with times of 50.74, 1:58.45 and 4:10.93 respectively. In 2012 and 2016, Semenya won the gold for the 800 m with times of 1:57.23 and 1:55.28 respectively. I won’t really discuss the anatomic and physiologic advantages today. What I will discuss, though, is the fact that Semenya has been told that she has to take drugs to decrease her testosterone levels or she cannot compete anymore. Semenya was told to decrease her testosterone levels or she could face a ban in the 800 m. The new rules state that:
Female athletes affected must take medication for six months before they can compete, and then maintain a lower testosterone level.
If a female athlete does not want to take medication, then they can compete in:
- International competitions in any discipline other than track events between 400m and a mile
- Any competition that is not an international competition
- The male classification at any competition, at any level, in any discipline
- Any intersex, or similar, classification
But Semenya has declined taking these drugs—so her future is up in the air. So, if Semenya—or any other athlete—has to take drugs to decrease their levels since it gives an unfair advantage, then, in my opinion, this may lead to changes in other sports as well.
Look at Michael Phelps. Michael Phelps has won a record 28, winning 23 medals at Rio in 2016. Phelps has a long, thin torso which decreases drag in the water. Phelps’ wing span is 6’7” while he is 6’4”—which is disproportionate to his height. He has the torso of a 6’8” person, which gives him a greater reach per stroke. His lower body is 5’10” which lowers the resistance against the water. He has large hands and feet (with flexible ankles), which help with paddling capacity (size 14 shoe; yours truly wears a size 13).
There is one more incredible thing about Phelps: He produces around 50 percent lower lactic acid. Think of the last time that you have run for some distance. The burning you feel in your legs is a build up of lactic acid. Lactic acid causes fatigue and also slows muscle contractions—this occurs through lactic acid passing through the bloodstream, becoming lactate. (Note that it does not necessarily cause fatigue; Brooks, 2001.) Phelps does not produce normal levels of lactic acid, and so he is ready to go again shortly after a bout of swimming.
Phelps said “In between the 200m free and the fly heats I have probably had in total about 10 minutes to myself.” A normal person’s muscles would be too fatigued and cramped. I would also assume that Phelps has an abundance of type I muscle fibers as well.
Now take Usain Bolt. The 100 m dash is, mostly, an anaerobic race. What this means is that mitochondrial respiration has minimal effect on the type of energy used during the event (Majumdar and Robergs, 2011). So during anaerobic events, there is no free oxygen to drive energy—the energy stored in the muscle is used to perform movement through a process called glycolysis. Sprinting is an intense exercise—fuel choice during exercise is determined by the intensity of said exercise. “A 100-meter sprint is powered by stored ATP, creatine phosphate, and anaerobic glycolysis of muscle glycogen.”
Now we can look at the physical advantages they have. Swimmers and runners, on average, have different centers of mass (Bejan, Jones, and Charles, 2010). In all actuality, Phelps and Bolt are the perfect example of this phenomenon. Winning runners have a West-African origin and winning runners are more likely to be white. These somatotypic differences between the two races influence why they excel in these two different sports.
Usain Bolt is 6’5”. Since he is that height, and he has long legs, he necessarily has a longer stride—Bolt is the perfect example of Bejan, Jones, and Charles’ (2010) paper. So take the average white sprinter of the same height as Bolt. Ceteris paribus, Bolt will have a higher center of mass than the white athlete due to his longer limbs and and smaller circumference. Krogman (1970) found that, in black and white youths of the same height, blacks had shorter trunks and longer limbs, which lends credence to the hypothesis.
Phelps is 6’4”. As noted above, he has a long torso and long limbs. Long torsos are conducive to a lower center of mass—what whites and Asians have, on average. So long torsos mean that one will have taller sitting heights than those with short torsos. This means that whites and Asians have taller sitting heights than blacks, who have shorter torsos. This average taller sitting height is conducive to the longer torsos which is why whites excel in swimming. Bejan, Jones, and Charles (2010) also note that, if it were not for the short stature of Asians, they would be better swimmers than whites.
In any case, the different centers of mass on average between blacks and whites are conducive to faster times in the sports they excel at. For whites, the three percent increase in center of mass means that there would be a 1.5 percent increase in winning speed and a 1.5 percent decrease in winning time in the case of swimming. The same holds for blacks, but in the case of running: their higher center of mass is conducive to a 1.5 percent increase in winning speed and also a 1.5 percent decrease in winning time, which would be a .15 second decrease, or from 10 s to 9.85 s—which is a large differential when it comes to sprinting. (Note that this phenomenon also holds for black women and white women—black women are better sprinters and white women are better swimmers. Asian women excel in the 100 m freestyle, but not Asian men for reasons discussed above.)
Now put this all together. If Phelps and Bolt have such advantages over their competition and they—supposedly—win due to them, then if Semenya has to decrease her T levels, why shouldn’t Phelps and Bolt decrease X, Y, or Z since they have physiologic/anatomic advantages as well? Why does no one talk about Semenya’s anatomic advantages over, say, white women and why only bring up Semenya’s testosterone levels? Forcing Semenya to decrease T levels will set a bad precedent in sport. What would stop a losing competitor from complaining that the winner—who keeps winning—has an “unfair” physiologic/anatomic advantage and must do X to change it? (Or say that the anatomic advantage they possess is “unfair” and they should be barred from competition?)
Here’s the thing: Watching sport, we want to see the best-of-the-best compete. Wouldn’t that logically imply that we want to see Semenya compete and not rid herself of her advantage? If Semenya’s physiologic advantage(s) is being discussed, why not Semenya’s anatomic advantages? It does not make sense to focus on one variable—as all variables interact to produce the athletic phenotype (Louis, 2004). Phelps and Bolt perfectly embody the results of Bejan, Jones, and Charles (2010)—they have, what I hope are—well-known advantages, and these advantages, on average, are stratified between race due to anatomic differences (see Gerace et al, 1994; Wagner and Heyward, 2000).
Phelps and Bolt have anatomic and physiologic advantages over their competition, just as Semenya does, just like any elite athlete, especially the winners compared to their competition. If Semenya is forced to decrease her testosterone levels, then this will set a horrible precedent for sport, and people may then clamor for Phelps and Bolt to do X, Y, and Z due to their physical advantages. For this reason, Semenya should not decrease her testosterone levels and should be allowed to compete in mid-distance running.
Helmuth Nyborg on the Social Construction of Race
Helmuth Nyborg published an article in Psych titled Race as Social Construct (Nyborg, 2019). In the article, he responds to a National Geographic article There’s No Scientific Basis for Race—It’s a Made-Up Label. In the article, Nyborg quotes, what apparently are quotations, from the article. Yet, for example when it comes to this:
‘There’s No Scientific Basis for Race’—‘It’s a Made-Up Label’… ‘Races do not exist because we are equals’, ‘the concept of race is not grounded in genetics’, etc.
The second quote “Races do not exist because we are equals” is not in the article. (Though this is probably a general call-out to so-called “social constructivists about race.”) Now, I won’t’ nit-pick about it, since he is apparently speaking to his critics who make these claims. In any case, Nyborg’s article is titled Race as Social Construct. Where are constructivists about race said to be anti-realists or eliminativists about race? If Nyborg is really speaking to constructivists about race, then he’s strawmanning their position. Because social constructivists about race are realists about race.
Take the new AAPA Statement on Race and Racism, where they write:
… race has become a social reality that structures societies and how we experience the world. In this regard, race is real, as is racism, and both have real biological consequences.
““race” as a social reality — as a way of structuring societies and experiencing the world — is very real.”
So, if constructivists about race claim that “Races do not exist”, then why are social constructivists about race literally saying “race is real” and “”race” as a social reality … is very real”? Weird… Almost as if Nyborg is strawmanning the constructivist position. Nyborg asks if “NG also think[s] of species as a social construct?“. See Elstein (2003) for a view that species are socially constructed. In any case, I don’t think that Nyborg is familiar with the philosophical literature on the status of species.
Here is Nyborg’s first syllogism:
Samuel Morton is a reprehensible model racist with a fixed defintion of race.
1. Samuel Morton is the father of scientific racism.
2. (We “know” that the father of scientific racism has THE correct understanding of race).
3. Morton thinks that races represent separate acts of creation.
4. Morton thinks that races are ranked in a divine hierarchy.
5. Morton did not think that races were closely related.
6. Morton thinks that races has distinct characters which:
(a) Are immutable or “fixed” across generations (i.e., no transmutation, aka evolution).
(b) Are homogenous of “fixed” (in these senses of fixation) across individuals within races.
Morton is wrong about 3-6, and thus represent the opposite of reality. We can then say, given 1-2 and 3-6, that races do not exist.
This is ridiculous. Where has anyone written anything like this, that since Morton was a “racist” that “races do not exist”? Did Gould make that claim in Mismeasure? I personally think that Morton’s analysis was flawed by his own biases, but I do not make the claim that “races do not exist” because of it.
In any case, when it comes to Gould’s critique of Morton’s skulls, contra Jensen (1982), Rushton (1997) , and Lewis et al (2011), Gould’s arguments about Morton were largely correct (Weisberg, 2014; Kaplan, Pigliucci, and Banta, 2015; Weisberg and Paul, 2016). Specifically, Weisberg (2014) writes that “Although Gould made some errors
and overstated his case in a number of places, he provided prima facia evidence, as yet unrefuted, that Morton did indeed mismeasure his skulls in ways that conformed to 19th century racial biases.”
Now when it comes to this one, we’re getting somewhere:
Race does not Relate to Geographic Location
1. There are no fixed traits with specific geographic locations …” because …
2. “… as often as isolation has created differences among populations, migration and mixing have blurred or erased them.
3. “… our pictures of past ‘racial structures’ are almost always wrong” and harmful.
This is a good argument. However, it fails, in my opinion. Yes, there is no sharp delineation in traits between what are purported to be racial groupings. However, for biological racial realism to be true, there do not need to be. Take my article You Don’t Need Genes to Delineate Race. By looking at average facial and morphological features that exist in any continent, we can say that, although there is no sharp gradation and there are clines in phenotypes, that does not mean that there is no what we can say “average look” for the group. (Nyborg discusses “IQ” there, but I won’t get into it.)
Now take this one:
Races do not exist: We are Equals and Africans
1. “… all humans are closely related.”
2. In a very real sense, all people alive today are Africans.”
3. Genetic diversity in Africa is much larger than outside this continent.”
4. Because they [migrants] were just a small subset of Africa’s population, the migrants took with them only a fraction of its genetic diversity.”
5. Admittedly, “… the longer two groups are separated, the more distinctive tweaks [mutations] they will acquire”, BUT …
6. “The concept of race has no genetic or scientific basis.” (NG here refers to a Craig Venter statement at a White House meeting, June 2000; see later).
7. “Science tells us there is no genetic or scientific basis for race. Races do not exist because we are [all] equals.”
1-5 are true; though 6-7 are false. In any case, the existence of race is not a scientific matter. The questions “What is race?”, “Is race real?”, and “If race is real, how many races are there?” are philosophical, not scientific, matters. Nyborg brings up “Lewontin’s fallacy”, but take what Hardimon (2017: 22-23) writes about the matter:
It is worth noting that the force of the argument against the existence of racialist races from Lewontin’s data analysis is unaffected by the critique A.W.F. Edwards made in his 2003 paper “Human Genetic Diversity: Lewontin’s Fallacy.” The fallacy Edwards imputes to Lewontin consists in inferring that racial classification has no taxonomic signifigance from the finding that the between-race component of human genetic diversity is very small. The inference is fallacious because the fact that the between-race component of human genetic diversity is small does not entail that racial classification has no taxonomic signifigance. Lewontin’s locus-by-locus analysis (which does not consider the possibility of a correlation between individual loci) does not preclude the possibility that individual loci might be correlated in such a way that people could be grouped into traditional racial categories. The underlying though is that racial classification would have “taxonomic signifigance” were it possible to group people into traditonal racial categories by making use of correlations between individual loci. However, Lewontin’s argument that there are no racialist races because the component of within-race genetic variation is larger than the component of between-race genetic variation is untouched by Edwards’ objection. That conclusion rests solely on Lewontin’s statistical analysis of human variation (the validity of which Edwards grants) and does not pressupose the absence of correlational structure in the genetic data. In short, Lewontin’s data do not preclude the possibility that raciual classification might have taxonomic signifigance but they do preclude the possibility that racialist races exist.
Nyborg is, obviously, pushing the concept of racialist races, though Hardimon has shown that they do not exist. Nyborg says that “Educability and IQ are arguable [sic] physiological (Spearman, 1927)“. Nope.
Nyborg then presents his next syllogism:
Admixture and Displacement Have Erased All Race Differences
1. Race implies unadmixed groups between which there are fixed—“fix”, in the sense of fixation index—traits.
2. (From Reich (2018) race implies “primeval” groups…separated tens of thousands of years ago”.
3. Genetics shows that mixture and displacement have happened again and again”… and … as a result “Differences have been blurred or erased”.
4. Thus, “there are no fixed traits associated with specific geographic locations…”
5. And “our pictures of past ‘racial structures’ are almost always wrong” and harmful.
Since human descent groups are mixed and do not exhibit fixed trait differences and since there are no 10-thousand-year-old primeval groups, there are no races.
This one is strong, and if an eliminativist/anti-realist about race were to use this argument (remember, Nyborg doesn’t understand that social constructivists are realists about race), then it would be strong. But that human populations are mixed and do not exhibit trait differences does not mean that race does not exist, that does not follow. That is a carry-over from the racialist concept of race, which is false.
Nyborg then presents his fifth syllogism:
Race is only Skin Color Deep
1. “When people speak about race, usually they seem to be referring to skin color and, at the same time, to something more than skin color.”
2. “This is the legacy of people such as Morton, who developed the “science” of race to suit his own prejudices and got the actual science totally wrong.”
3. “Science today tells us that the visible differences between people a re accidents of history. They reflect how our ancestors dealt with sun exposure, and not much else.”
4. There is no homogenous African race.
Since race is only based on skin color, it is made up by racists.
I have heard an argument similar to this, and it fails. Race isn’t ONLY BASED ON skin color, but it is a marker of race, along with ancestry and location. Of course, morphology and other phenotypic traits ground the scientific concept of “race” (minimalist/populationist race). Race, of course, does not mean only skin color, there are many other ways to delineate races, with skin color being but one tell.
Nyborg then writes:
Ducrest, Keller, and Rouling, 2008)  thus observed that darker color is associated with greater aggressiveness in 10 mammal species, three kinds of birds, and more Lizard forms entirely evaded them. They condemned the color analogue with respect to humans, and reacted forcefully when Rushton and Templer (2009)  drew data from no less than 113 countries and found that “… murder, rape, and serious assault were associated with darker skin color, lower IQ, higher birth rate, higher infant mortality, higher HIV/AIDS rate, lower life expectancy, and lower income”
Yea, Ducrest, Keller, and Rouling (2008) is one study that Rushton loved, as it, supposedly, gave a basis for darker color being associated with aggressiveness in a slew of different animals. I rebutted Rushton and Templer, in any case. Their study was ridiculous and they did not even heed what Ducrest, Keller, and Rouling (2008: 507) stated “… that human populations are therefore not expected to consistently exhibit the associations between melanin-based coloration and the physiological and behavioural traits reported in our study.” Must be hard for Rushton and Templer to read.
In sum, Nyborg is wrong that racial constructivists claim that “Races do not exist”, for if they did not exist, then what would constructivists be fighting for? Nyborg seems to be talking to anti-realists/eliminativists about race. Nyborg pushes a racialist concept about race, which was refuted by Hardimon (2017: Chapter 1). Races exist in a minimal sense (Hardimon, 2017) and U.S. sense (Spencer, 2014), but not in the racialist “HBD” sense. In this case, biological racial realism (Spencer, 2011) is true, but if we are going by Kaplan and Winther’s (2014) definitions, Rushton, Jensen, Lynn, and Nyborg would be the biological racial realists, whereas myself, Hardimon and Spencer would be biogenomic/cluster race realists. It seems that Nyborg needs to brush up on the philosophical literature, because what he claims that social constructivists about race believe are not true; he just strawmanned their position. In any case, I’ve shown that constructivists about race do not believe that race is not real. They may not believe that race is real in a biological manner, but they do in a social one, and that is enough for them to be race realists and believe that race exists.
(Also note how Kaplan and Winther (2014) note that “Social racial realism defends the existence of distinct human groups in our ordinary discourse and social interactions. Such groups are often identified and stabilized by “surface” factors such as skin color or facial features.” So, again, those who push a socialrace-type concept do not deny that race exists, on the contrary, they are realists about race. Nyborg got it wrong, and some of his critiques are good against those who deny the reality of race, but his racial ontology is false.