Saturday, May 21, 2022

Personality stability increases mostly until 25 yo; emotional stability increased consistently and more substantially across the lifespan than currently believed

Bleidorn, Wiebke, Ted Schwaba, Anqing Zheng, Christopher J. Hopwood, Susana Sosa, Brent Roberts, and Daniel A. Briley. 2022. “Personality Stability and Change: A Meta-analysis of Longitudinal Studies.” PsyArXiv. May 20. doi:10.31234/osf.io/eq5d6

Abstract: Past research syntheses provided evidence that personality traits are both stable and changeable throughout the lifespan. However, early meta-analytic estimates were constrained by a relatively small universe of longitudinal studies, many of which tracked personality traits in small samples over moderate time periods using measures that were only loosely related to contemporary trait models such as the Big Five. Since then, hundreds of new studies have emerged allowing for more precise estimates of personality trait stability and change across the lifespan. Here, we updated and extended previous research syntheses on personality trait development by synthesizing novel longitudinal data on rank-order stability (total k = 189, total N = 178,503) and mean-level change (total k = 276, N = 242,542) from studies published after January 1st 2005. Consistent with earlier meta-analytic findings, the rank-order stability of personality traits increased significantly throughout early life before reaching a plateau in young adulthood. These increases in stability coincide with mean-level changes in the direction of greater maturity. In contrast to previous findings, we found little evidence for increasing rank-order stabilities after age 25. Moreover, cumulative mean-level trait changes across the lifespan were slightly smaller than previously estimated. Emotional stability, however, increased consistently and more substantially across the lifespan than previously found. Moderator analyses indicated that narrow facet-level and maladaptive trait measures were less stable than broader domain and adaptive trait measures. Overall, the present findings draw a more precise picture of the lifespan development of personality traits and highlight important gaps in the personality development literature.


In the dating market, people compete ferociously for mates with qualities that do not increase one’s chances of romantic happiness

Adapted from Don't Trust Your Gut: Using Data to Get What You Really Want in Life, by Seth Stephens-Davidowitz. Wired, May 2022. https://www.wired.com/story/data-marriage-behavior-love-psychology-romance/



Whom shoud you marry?



This may be the most consequential decision of a person’s life. The billionaire investor Warren Buffett certainly thinks so. He calls whom you marry “the most important decision that you make.”



[...]



She recruited a large number of scientists who had collected data on relationships—her team ended up including 85 other scientists—and was able to build a dataset of 11,196 heterosexual couples.



The size of the dataset was impressive. So was the information contained in it. For each couple, Joel and her team of researchers had measures of how happy each partner reported being in their relationship. And they had data on just about anything you could think to measure about the two people in that relationship.



The researchers had data on:



demographics (e.g., age, education, income, and race)


physical appearance (e.g., How attractive did other people rate each partner?)


sexual tastes (e.g., How frequently did each partner want sex? How freaky did they want that sex to be?)


interests and hobbies


mental and physical health


values (e.g., their views on politics, relationships, and child-rearing)



and much, much more.



Further, Joel and her team didn’t just have more data than everybody else in the field. They had better statistical methods. Joel and some of the other researchers had mastered machine learning, a subset of artificial intelligence that allows contemporary scholars to detect subtle patterns in large mounds of data. One might call Joel’s project the AI Marriage, as it was among the first studies to utilize these advanced techniques to try to predict relationship happiness.



After building her team and collecting and analyzing the data, Joel was ready to present the results—results of perhaps the most exciting project in the history of relationship science.



So, can Samantha Joel—teaming up with 85 of the world’s most renowned scientists, combining data from 43 studies, mining hundreds of variables collected from more than 10,000, and utilizing state-of-the-art machine learning models—help people pick better romantic partners?



No.



The number one—and most surprising—lesson in the data, Samantha Joel told me in a Zoom interview, is “how unpredictable relationships seem to be.” Joel and her coauthors found that the demographics, preferences, and values of two people had surprisingly little power in predicting whether those two people were happy in a romantic relationship.



And there you have it, folks. Ask AI to figure out whether a set of two human beings can build a happy life together and it is just as clueless as the rest of us.



Well... that sure seems like a letdown. Does data science really have nothing to offer us in picking a romantic partner, perhaps the most important decision that we will face in life?



Not quite. In truth, there are important lessons in Joel and her coauthors’ machine learning project, even if computers’ ability to predict romantic success is worse than many of us might have guessed.



For one, while Joel and her team found that the power of all the variables that they had collected to predict a couple’s happiness was surprisingly small, they did find a few variables in a mate that at least slightly increase the odds you will be happy with them. More important, the surprising difficulty in predicting romantic success has counterintuitive implications for how we should pick romantic partners.



Think about it. Many people certainly believe that many of the variables that Joel and her team studied are important in picking a romantic partner. They compete ferociously for partners with certain traits, assuming that these traits will make them happy. If, on average, as Joel and her coauthors found, many of the traits that are most competed for in the dating market do not correlate with romantic happiness, this suggests that many people are dating wrong.



[...]



If I had to sum up, in one sentence, the most important finding in the field of relationship science, thanks to these Big Data studies, it would be something like this (call it the First Law of Love): In the dating market, people compete ferociously for mates with qualities that do not increase one’s chances of romantic happiness.



[...]


In mammalian societies... How reproductive control promotes social control

The eco-evolutionary landscape of power relationships between males and females. Eve Davidian et al. Trends in Ecology & Evolution, May 18, 2022. https://doi.org/10.1016/j.tree.2022.04.004

Highlights

. Inequality in the degree of control (or ‘power’) that members of one sex exert over members of the other sex is a pervasive characteristic of mammalian societies, including our own.

. The study of the drivers of male–female power relationships has been impeded by methodological limitations and a lack of conceptual embedding in theories of sexual conflict, sexual selection and social evolution.

. Recent evidence challenges long-standing views by showing that (i) power ranges along a continuum from strictly male- to strictly female-dominated animal societies and (ii) intersexual power relationships are not fixed attributes of species.

. Here we break with dichotomist and static approaches to adopt a dynamic, theory-driven framework that provides a better understanding of the power struggles between the sexes, and how these relate to the social and mating system of a species.

Abstract: In animal societies, control over resources and reproduction is often biased towards one sex. Yet, the ecological and evolutionary underpinnings of male–female power asymmetries remain poorly understood. We outline a comprehensive framework to quantify and predict the dynamics of male–female power relationships within and across mammalian species. We show that male–female power relationships are more nuanced and flexible than previously acknowledged. We then propose that enhanced reproductive control over when and with whom to mate predicts social empowerment across ecological and evolutionary contexts. The framework explains distinct pathways to sex-biased power: coercion and male-biased dimorphism constitute a co-evolutionary highway to male power, whereas female power emerges through multiple physiological, morphological, behavioural, and socioecological pathways.

How reproductive control promotes social control

Here we propose that the degree of male and female reproductive control determines whether and how members of each sex can empower themselves socially, with respect to access to nonreproductive resources. We further illustrate how the mechanism by which power emerges may influence its durability.

 Coercion: an evolutionary highway to male power

Male coercive reproductive control is facilitated by large male-biased sexual dimorphism in size and weaponry, which is typical of contest-based mating systems, and includes most polygynous and some polygynandrous societies [,,] (Figure 1). In these systems, males often extend their use of coercion to dominate females when competing over nonreproductive resources. Large males may further reinforce intersexual asymmetries in coercive potential and limit female empowerment by controlling their social environment and preventing them from recruiting social allies (Box 2). The tight association between the pervasive use of coercion by males and male-biased sexual dimorphism likely emerges from a co-evolutionary feedback with the mating system (Figure 2). When males gain reproductive pay-offs from aggressively monopolising females against competitors, this will often (i) promote contest-based competition between males; (ii) subsequently drive the evolution of male-biased sexual dimorphism [,], which will (iii) promote male coercive reproductive control over females; and (iv) drive male social empowerment and dominance over females [,,]. This will (v) ultimately close the loop by strengthening male reproductive control over females [,,,]. When female resistance strategies fail to prevent or disrupt this potent self-reinforcing loop, it may catalyse the emergence and maintenance of male-biased power over evolutionary times. This likely explains why males often exert both high reproductive and social control over females in contest-based mating systems (Figure 1), and why contest-based systems are widespread among mammals. In addition, female strategies may sometimes reinforce rather than disrupt the loop favouring male power. For example, where males already have high reproductive control and females cannot mate promiscuously to dilute paternity, they may instead concentrate paternity to seek paternal protection in response to infanticidal threats []. Such paternity concentration strategies may contribute to locking females into male-dominated societies.

Figure 2Eco-evolutionary pathways to male and female empowerment in mammals.

 Why the coercive pathway is not the females’ way

A similar coercive co-evolutionary pathway is unlikely to drive female social empowerment because mammalian species in which females concurrently exhibit contest-based intrasexual competition to monopolise access to multiple males and larger body sizes are currently unreported [,]. In some species, reproductive competition may be most intense among females; yet, contrary to what would be expected for this co-evolutionary pathway, these species either exhibit sexual monomorphism, as in the polyandrous moustached tamarins (Saguinus mystax) [] and cooperatively breeding meerkats [] (Figure 1A), or male-biased size dimorphism as in Damaraland mole rats (Fukomys damarensis) []. This apparent paradox probably reflects inherent differences in the life history and modality of intrasexual competition in females and males []. Female mammals often compete using subtle forms of coercion – for example, using threats and agonistic signals – which do not select for increased body size and weaponry. There are at least three reasons for this: first, theory predicts avoidance of overt aggression for the sex that faces highest costs of offspring production []; second, the incentive for females to engage in physical contest may be low because sharing resources is often less costly for females than for males; third, mammalian females are usually philopatric and thus predominantly compete with close female kin, with whom they may avoid engaging in costly contests []. These insights emphasise key differences in the pathways to female and male power (Figure 2), in particular that a large body size and coercion are not prerequisites for female empowerment.

 Female social empowerment from leverage based on sex

When females retain some reproductive control – usually in species with moderate sexual size dimorphism as in monogamouspolyandrous, and scramble-based polygynandrous species (Figure 1) – they can trade copulations for resources or services that males can provide, such as protection for themselves or their offspring against conspecifics or predators. Yet, such leverage is usually restricted to periods of female sexual receptivity and thereby only confer short-term social empowerment to females, as in some mouse lemurs (Microcebus spp.) where female social control over males is more pronounced during the breeding season [,]. Leverage-based power may therefore explain female social empowerment over males in species where males are nonpermanent residents and join groups only during the mating season, as in rock hyraxes []. In species living in permanent groups where males and females maintain long-term, differentiated social relationships, females can extend their leverage beyond the receptive period. This strategy may durably promote cooperative behaviour or inhibit aggression from males through mating markets, as in long-tailed macaques (Macaca fascicularis) [] and Guinea baboons (Papio papio) []. Leverage can then represent a potent source of social control that may, even under male-biased dimorphism, allow females to manipulate the social rank of subordinate males, as in vervet monkeys [], or to influence male social and competitive relationships, as in bonobos (Box 3). Similar to males, but through a different mechanism, increased social control by females may subsequently reinforce female reproductive control by facilitating their resistance to unwanted solicitations in a positive feedback loop (Figure 2).

 Female social empowerment from mate choice

When female reproductive control enables them to exercise precopulatory mate choice, they may select male traits (e.g., social deference, cooperative personalities, or a smaller body size) that may, over evolutionary time, increase female social control in a process described by the ‘docile male’ hypothesis []. In bonobos, the related ‘self-domestication’ hypothesis posits that selection for nonaggressive males, which may partly result from female choice, has contributed to the contrasts in morphology, physiology, behaviour, and cognition between male bonobos and chimpanzees (Pan troglodytes) []. Empirical evidence of female mate choice for such male traits is scarce in mammals, however []. Female preferences for males with whom they are socially bonded have been reported [,], but may reflect leverage rather than choice for male traits that are relevant to intersexual power. Alternatively, female mate choice can promote intersexual power asymmetries indirectly. For example, in spotted hyenas, female reproductive control and mate preferences drive male dispersal [], which decreases the number of social allies that males can recruit and thus reduces male social control [].

14 measures shown produce sex-based sexuality differences: In every measure, replicated previous findings comparing heterosexual men & women; more diffs between heterosexual & bisexual men; patterns in women more pronounced, bisexuals play larger role

Sex and Sexual Orientation Differences in Sexuality and Mate Choice Criteria. Bogdan Kostic & John E. Scofield. Archives of Sexual Behavior, May 19 2022. https://link.springer.com/article/10.1007/s10508-021-02280-6


Abstract: Previous research has documented several reliable differences between men and women in terms of mate preferences regarding age, physical appearance, financial prospects, and more. However, most of the research has been on heterosexual populations. The current study attempted to further explore those differences in non-heterosexual populations. The project was part replication regarding heterosexual populations and part exploratory regarding non-heterosexual populations. The sample contained 3298 participants, including 1863 males (1675 gynephiles, 56 androphiles, 132 bisexuals) and 1435 females (1037 androphiles, 33 gynephiles, 365 bisexuals). Participants responded to questions about mate preferences in terms of good financial prospects, good looks, chastity, ambition/industriousness, youth/age, uncommitted sex, visual sexual stimuli, status, physical attractiveness, jealousy, and interest in short- versus long-term mating. Results replicated typical sex differences between heterosexual men and women in all measures we analyzed. We also found several instances when bisexual respondents were more different from heterosexual respondents than homosexual respondents (specifically regarding interest in uncommitted sex, the importance of chastity, and interest in short-term mating). Despite limitations in data collection, the results demonstrate that homosexual and bisexual individuals do not always form a heterogenous group.



Letters To A Spanish Youngster CCLXXI

Letters To A Spanish Youngster CCLXXI

[...]

Your Honor the little good wizard-magician,/Su Señoría el mago y brujito bueno,


I cry for being so far from You, person of excellent skills and fruitful work, and ibn Gabirol’s poems* allow me to survive these difficult times in which I do not have access to Your voice, much less Your beatiful features, which are a need for me to live a full life:/Lloro por estar tan lejos de Vd., persona de excelencia en sus habilidades y fructífero trabajo, y los poemas de ibn Gabirol me permiten sobrevivir en estos tiempos difíciles en que no tengo acceso a Su voz, no digamos sus forms bellas, que son necesarias para mí para vivir una vida plena:


[Cry for the friends that left/Llanto por los amigos ausentes]


[Me abandonó y alzóse hasta los cielos

[…]

Su llanto no te asombre; que fueron más copiosas

mis lágrimas, cual fueron mayores las angustias,

amigos, tras vosotros y a causa de vosotros:

angustias por los próximos que ahora están lejanos.

¿Acaso puede el hombre

vivir sin los amigos que estuvieron

soldados a la médula del alma?

¿Acaso encontrará descanso en esas noches

que cercan a sus ojos para impedirle el sueño?]



[Complaints for absence/Quejas por la ausencia]


[Llegaos hasta aquellos dos ramos de los mirtos

que tienen sus raíces en bálsamo y en mirra;

por el amor de un débil y enfermo, conjuradlos

para que en su clemencia

sobre mí se detengan un instante;

que sobre mí pasaron y hacia ellos mandé mi corazón].



[After Yonah departed/Tras la partida de Yoná]


[[un hombre]

al que prendido tienen

las sogas de los días de abandono[…]?

Se fueron sus amigos, quedó sin compañero;

entre los avatares del destino

suspira con lamento.

Que Dios no me recuerde si no os recordara;

mas al hacer memoria,

me agito en mi quejido y me conturbo.


Yo gimo por Yoná mi hermano, que ha partido;

y como si no hubiera ni espera ni esperanza,

en llanto me deshago.

Si aun antes de dejarme mi alma me dolía,

el día en que me hubo abandonado

voló como un milano.

[…]

Si hubieran sido sabios lso sabios, no te hubieran

dejado que partieras;

[…]

Sabio de corazón, inteligente,

perfecto, en él no hay tacha; cuando habla,

ni engaño ni mentira. […]]



[For Shemuel’s absence/Por la ausencia de Shemuel]


[Amigo de mi alma, Shemuel, por tu partida

turbado estoy, mis juicios temblorosos;

que el día de la marcha alzose con mi alma

haciéndose una sola con la tuya.

[…]

Por tanto yo resuello, mi alma se conturba,

me sacio del insomnio hasta la madrugada.

Aguardaré a que llegue el despuntar del alba

de aquellos que se fueron; entonces gozaremos

y nos deleitaremos en amores.]



[Longing/Añoranzas]


[¿Quién es esa tan galana

que cuando sus plantas pisan

va derramando y esparce

perfumes de sus sandalias?

Las joyas de sus collares

son como estrellas y lleva

imagen de sol y luna

encima de las lazadas

de su corona.

La gracia está en su cabeza,

la belleza está en su cara,

el esplendor en su cuerpo

y la gloria por sus haldas.

Como una gacela inclina

su cuello y torna la cara;

camina sin que yo vea

por dónde van sus cañadas.

[…]

Lleva mi paz a mi amado,

por favor, cuando te vayas,

que en los días y en las noches

de la tierra

mal soporto su añoranza.

Si Dios nos ha separado

se despertará el clamor

de su clemencia mirando

cómo son de abrumadoras

en las nochas las nostalgias.]



I am terribly bored with my life (I know that saying this is the opposite of generosity and genuine lack of selfishness :-( ), and only enjoy the time in which I am near You, following Your commands and wishes, and hearing Your voice :-) , which is so beautiful., my master.../Estoy muy, muy aburrido con la vida que llevo (sé que decir esto es lo opuesto a generosidad y la genuina falta de egoísmo :-( ) y solo disfruto del tiempo en que estoy con Vd., obedeciendo sus órdenes y deseos, y escuchando su voz :-) , que es tan hermosa, mi dueño...


Asking the gods for them to have some mercy and to allow me to see in the next days, O my only source of joy!, Yours faithfully/Rogando a los dioses que me muestren clemencia y me permitan verle en los próximos días, ¡oh mi única fuente de alegría!, Suyo fielmente


             a. r. ante Su Señoría,


--

Notes


* Adapted from Selected Poems of Solomon ibn Gabirol, translated by Peter Cole (Princeton, NJ: Princeton Univ. Press, 2001), & the Spanish version from Selomó ibn Gabirol—Poesía secular, by Elena Romero (Madrid: Alfaguara, 1978).


Friday, May 20, 2022

Unlike doctors and surgeons, psychologists are more likely to present the left cheek on their professional photographs, perhaps signalling (intuitively) their empathy

Putting your best face forward: Posing biases in psychologists’ online portraits. Ven Yi Hew & Annukka K. Lindell. Laterality. Asymmetries of Brain, Behaviour, and Cognition. May 19 2022. https://doi.org/10.1080/1357650X.2022.2077745

Abstract: When posing for portraits the position you adopt influences perceptions. As the left hemiface (controlled by the emotion-dominant right hemisphere) expresses emotion more intensely, left cheek portraits communicate stronger emotion than right cheek portraits. This phenomenon influences perceptions of both emotional expressivity and professional specialisation: while left cheek portraits emphasise emotion, right cheek portraits appear more scientific. When professionals upload photographs online to promote their services, the cheek shown consequently influences perceptions. Given the importance of empathy in establishing a therapeutic alliance, theoretically psychologists would benefit from choosing left cheek portraits to enhance their perceived emotionality. The present study thus examined psychologists’ posing biases in photographs uploaded to online “Find a Psychologist” resources. Images (N = 1230) of psychologists were drawn from professional “Find a Psychologist” online databases, and coded for gender, portrait type and cheek shown. Results confirmed that psychologists show a left cheek bias, irrespective of gender and across portrait types (upper body, full body). This distinguishes psychologists from doctors and surgeons: past research reports no cheek bias in photos uploaded to “Find a Doctor” websites. The current findings suggest that psychologists may intuitively select left cheek images to enhance the communication of empathy to potential clients.

Keywords: Leftrightemotionpsychologisthemiface

The strongest, and most reliable, predictor of perceived danger of misinformation is the perception that others are more vulnerable to misinformation than the self; believing that societal problems have simple solutions/clear causes is consistently, weakly, associated

Altay, Sacha, and Alberto Acerbi. 2022. “Misinformation Is a Threat Because (other) People Are Gullible.” PsyArXiv. May 20. doi:10.31234/osf.io/n4qrj

Abstract: Alarmist narratives about the flow of misinformation and its negative consequences have gained traction in recent years. If these fears are to some extent warranted, the scientific literature suggests that many of them are exaggerated. Why are overly alarmist narratives about misinformation so popular? In two pre-registered experiments (N = 600, UK), replicated in the US (N = 601), we investigated the psychological factors associated with perceived danger of misinformation and how it contributes to the popularity of alarmist narratives on misinformation. We find that the strongest, and most reliable, predictor of perceived danger of misinformation is the third-person effect (i.e., the perception that others are more vulnerable to misinformation than the self) and, in particular, the belief that ‘distant’ others (as opposed to family and friends) are vulnerable to misinformation. The belief that societal problems have simple solutions and clear causes was consistently, but weakly, associated with perceived danger of online misinformation. Other factors, like negative attitudes towards new technologies and higher sensitivity to threats, were inconsistently, and weakly, associated with perceived danger of online misinformation. Finally, we found that participants who report being more worried about misinformation are more willing to like and share alarmist narratives on misinformation. Our findings suggest that alarmist narratives on misinformation tap into our tendency to view other people as gullible.



People spontaneously looked more and for longer at the sexually provocative images when their eyes were camouflaged by sunglasses (which we surreptitiously monitored)

De-evolving human eyes: The effect of eye camouflage on human attention. Veronica Dudarev, Manlu Liu, Alan Kingstone. Cognition, Volume 225, August 2022, 105136. https://doi.org/10.1016/j.cognition.2022.105136

Abstract: Eyes are communicative. But what happens when eyes are camouflaged? In the present study, while either wearing sunglasses (that camouflaged the eyes) or clear glasses, participants were presented with sexually provocative and neutral images, which they viewed in the presence of another person who they knew was observing their eyes. Unbeknownst to the participants, however, we also surreptitiously monitored and recorded their eye gaze in both conditions. People spontaneously looked more and for longer at the sexually provocative images when their eyes were camouflaged by sunglasses. This finding provides convergent evidence for the proposal that covert attention operates in service of overt social attention, and suggests that decoupling overt and covert attention is much more prevalent than previously assumed. In doing so it also sheds light on the relation between the evolution of human eye morphology and systems of attention.

Keywords: Social cognitionSocial attentionOvert attentionCovert attentionEye morphologyCamouflage


Consistent with beauty-blind admissions, alumni's beauty is uncorrelated with the rank of the school they attended in China; in the US, White men who attended high-ranked schools are better looking, especially attendees of private schools

The college admissions contribution to the labor market beauty premium. David Ong. Contemporary Economic Policy, April 18 2022. https://doi.org/10.1111/coep.12570

Abstract: We investigate the contribution of college admissions to the labor market beauty premium. We sampled 1800 social media profiles of students from universities ranked from 1 to 200 in China and the US. Chinese universities use standardized test scores for admissions. US universities use also extracurricular activities. Consistent with beauty-blind admissions, alumni's beauty is uncorrelated with the rank of the school they attended in China. In the US, White men who attended high-ranked schools are better looking, especially attendees of private schools. A one percentage point increase in beauty rank corresponds to a half-point increase in the school rank.


Thursday, May 19, 2022

For the majority of Americans, partisanship is either equally positive and negative or more positive than negative

Negative partisanship is not more prevalent than positive partisanship. Amber Hye-Yon Lee, Yphtach Lelkes, Carlee B. Hawkins & Alexander G. Theodoridis. Nature Human Behaviour, May 19 2022. https://www.nature.com/articles/s41562-022-01348-0


Abstract: The dominant narrative among scholars and political pundits characterizes American partisanship as overwhelmingly negative, portraying citizens as more repelled by the opposing party than attached to their own party. To assess the valence of partisan identity, we use various measures collected from several new and existing nationally representative surveys and behavioural outcomes obtained from two experiments. Our findings consistently depart from the negative partisanship narrative. For the majority of Americans, partisanship is either equally positive and negative or more positive than negative. Only partisan leaners stand out as negative partisans. We pair these observational findings with experimental data that differentiate between positive group behaviour and negative group behaviour in the partisan context. We find that the behavioural manifestations of party identity similarly include both positive and negative biases in balance, reinforcing our conclusion that descriptions of partisanship as primarily negative are exaggerated.



We find no evidence that cigarette smoking is a burden on Medicare

Smoking, selection, and medical care expenditures. Michael E. Darden & Robert Kaestner. Journal of Risk and Uncertainty, Apr 30 2022. https://link.springer.com/article/10.1007/s11166-022-09378-9


Abstract: The contribution of cigarette smoking to national health expenditures is thought to be large, but our current understanding of the effect of smoking on annual medical expenditures is limited to studies that use cross-sectional data to make comparisons of medical care expenditures between smokers and never smokers at a particular age. We develop a dynamic economic model of smoking and medical care use that highlights two forms of selection: selective mortality and non-random cessation. To test predictions from our model, we construct novel longitudinal profiles of medical expenditures of smokers and never smokers from merged National Health Interview Survey and Medicare claims information. Consistent with our theory, we find that, from a given age, smokers generate higher expenditures prospectively, because of a higher incidence in inpatient usage, and lower expenditures retrospectively, because of lower outpatient usage. Between ages 65 and 84, we find that the expected value of the discounted sum of total expenditures is lower for smokers, mainly because of excess mortality. We find no evidence that cigarette smoking is a burden on Medicare.


https://www.cdc.gov/tobacco/data_statistics/tables/trends/cig_smoking/index.htm


On social media, only Twitter use predicts higher level of political engagement; the "surprising" discovery is that people's affective polarization is not significantly linked to their political engagement

Affective polarization and political engagement in the United States: what factors matter? Mohammad Ali, Abdulaziz Altawil. Atlantic Journal of Communication, May 18 2022. https://doi.org/10.1080/15456870.2022.2076856

Abstract: This article examines the factors that predict affective polarization and political engagement in the United States. Using an original survey dataset (N = 1,100) of a fairly representative national sample, this study explored some factors (e.g., age, gender, political ideology, and partisan news media and social media) to see how they predict affective polarization and political engagement. The results could be helpful to further study widening affective polarization, which is reportedly affecting democracy itself, in this current political and public opinion atmosphere “Trumpfied” in the last couple of years. The insights found in this research could also help devise political and social campaign strategies that minimize polarization gaps. The results might enable corporate entities to better classify their consumers based on relevant issues associated with polarization and political engagement. Future research is encouraged to combine survey data and social media data for a more refined outcome.

Keywords: Affective polarization; political polarization; political engagement; survey; United States.


Substantial but Misunderstood Human Sexual Dimorphism Results Mainly From Sexual Selection on Males and Natural Selection on Females

Substantial but Misunderstood Human Sexual Dimorphism Results Mainly From Sexual Selection on Males and Natural Selection on Females. William D. Lassek and Steven J. C. Gaulin. Front. Psychol., May 17 2022 | https://doi.org/10.3389/fpsyg.2022.859931

Abstract: Human sexual dimorphism has been widely misunderstood. A large literature has underestimated the effect of differences in body composition and the role of male contest competition for mates. It is often assumed that sexually dimorphic traits reflect a history of sexual selection, but natural selection frequently builds different phenotypes in males and females. The relatively small sex difference in stature (∼7%) and its decrease during human evolution have been widely presumed to indicate decreased male contest competition for mates. However, females likely increased in stature relative to males in order to successfully deliver large-brained neonates through a bipedally-adapted pelvis. Despite the relatively small differences in stature and body mass (∼16%), there are marked sex differences in body composition. Across multiple samples from groups with different nutrition, males typically have 36% more lean body mass, 65% more muscle mass, and 72% more arm muscle than women, yielding parallel sex differences in strength. These sex differences in muscle and strength are comparable to those seen in primates where sexual selection, arising from aggressive male mating competition, has produced high levels of dimorphism. Body fat percentage shows a reverse pattern, with females having ∼1.6 times more than males and depositing that fat in different body regions than males. We argue that these sex differences in adipose arise mainly from natural selection on women to accumulate neurodevelopmental resources.

Discussion

As stressed throughout, reliable sex differences are not, by themselves, evidence of sexual selection. As in some other species, natural selection may favor differences between females and males. For example, in raptorial birds the conflicting effects of larger size—increasing fecundity in the sex that lays the eggs, but compromising agility in the sex doing (more of) the hunting—has led to disruptive natural selection such that females are larger than males in many species. This females-larger pattern has evolved independently in the Accipitriformes, Falconiformes, and Strigiformes, groups now known to not be closely related (Schoenjahn et al., 2020).

There are at least two potential sources of divergent natural selection pressures on women and men that might broadly parallel this avian situation: (1) being the sex that gestates and lactates, women might experience certain survival or fertility differentials that are not relevant to men (section “Increase in Female Stature to Accommodate Larger Brained Fetuses”), and (2) a widespread and apparently ancient sexual division of labor might favor different phenotypes in the two sexes, as discussed below.

Can Natural Selection Explain Dimorphism in Stature, Mass, and Strength?

In addition to sexual selection, natural selection can also produce sex differences in body size, though it seldom favors larger males. For example, natural (i.e., fecundity) selection can favor larger female size, notably in insects and fishes (Perrone, 1978Thornhill and Alcock, 1983Andersson, 1994), as realized by Darwin (1871). Likewise, divergent foraging niches can also produce sexually dimorphic body size, perhaps the best examples being raptorial birds where, again, females are consistently larger than males (Newton, 1979Andersson and Norberg, 1981Schoenjahn et al., 2020).

A sexual division of labor, with males concentrating on hunting mobile prey and women focusing on immobile plant foods is nearly universal among human foragers (Murdock, 1937Gurven and Hill, 2009) and possibly primitive in the chimp-human clade given that hunting, while rare, is a nearly exclusive male activity in common chimpanzees (Mitani and Watts, 2001Mitani et al., 2002). It has been suggested that this ecological sex difference could have generated natural selection for sexual dimorphism in human body size (Kaplan et al., 2000).

Evidence from modern hunter-gatherer groups suggests that male hunting provided a major portion of calories, fat, and protein to their families (and other families of their group through meat sharing) during human evolution (Cordain et al., 2000Gurven and Hill, 2009). Given that men’s hunting ability correlates positively with their muscle mass (Apicella, 2014) perhaps natural selection played a role in shaping both the sexual division of labor and sex differences in muscle mass.

The evidence on this issue is scant and indirect. Wolfe and Gray (1982b) conducted a cross-cultural analyses of stature dimorphism in relation to mode of subsistence. They found that, compared to hunter-gatherers, agriculturalists (whose sexual division of labor is less marked) actually exhibit more stature dimorphism and that, overall, a more equal division of labor was not associated with a reduction in stature dimorphism.

Based on a different cross-cultural sample, Holden and Mace (1999) used a sophisticated analytical strategy that controlled for both cultural and geographic relatedness among their sample populations. In their analyses, foraging populations showed the same levels of stature dimorphism as farming populations. However, dividing their cases differently, they found that cultures where women provide a higher proportion of food than men (regardless of how food is procured) showed less stature dimorphism. They suggested that this was the result of female offspring being better nourished in populations where women are the primary providers. In support of this interpretation they showed that sex biases in juvenile mortality showed a parallel pattern—juvenile males survive better where men contribute more to subsistence and juvenile females survive better when women contribute mere.

Using a genomic approach (Arner et al., 2021), examined allelic differences associated with a number of sexually dimorphic human phenotypes including height and body mass. They found no evidence of post-agriculture changes in the intensity of selection at these loci. In other words, the available evidence indicates that changes in subsistence have not had appreciable effects of human dimorphism, suggesting that human dimorphism is not primarily shaped by selection related to subsistence.

Dimorphism and Male Mating Success

Sexual selection arising out of competition for mates can cause a wide array of sex differences, but they broadly cluster into two major types: those that increase attractiveness to the opposite sex, and those that increase the ability to exclude same-sex competitors from mating (Andersson, 1994). The reasons why mating competition takes one form or the other are not fully understood (but see Gaulin and Sailer, 1984Puts, 2010 for some suggestions), but the former is predominant in birds and the latter predominant in mammals.

How are we to assess the relationship between dimorphism and male mating success over the course of human evolution? A meta-analysis of the relationship between “status” (measured variously as physical formidability, hunting ability, material wealth, and political influence) and several male fitness components across 33 non-industrial societies found a consistent positive effect, but a weaker effect than in non-human primates (von Rueden and Jaeggi, 2016) which could be taken to indicate a weakening of male contest competition in extant humans accompanying the spread of monogamous marriage systems. A study of Y-chromosome distribution found evidence of a recent shift from polygyny to monogamy (Dupanloup et al., 2003).

However, contemporary fitness effects may not be relevant to explaining the selective forces that produced the extant pattern of human sex differences. It is a cornerstone of evolutionary explanation that current traits are the result of selection pressures that operated in ancestral populations (Tooby and Cosmides, 1990). Thus, if the present is different from the past, the fitness differentials that produced the trait may no longer obtain. Of possible relevance to reconstructing selective regimes, we can discover no law prohibiting polygamy earlier that the (British) Bigamy Act 1603.

Because we have no direct evidence of the human matting system during the period when human patterns of dimorphism were shaped, it seems reasonable to give more weight to the genetic evidence provided by the Y-chromosome. Genetic studies uniformly find much less genetic diversity in the human Y-chromosome than in human mitochondrial DNA which is passed only through females. This is consistent with a smaller effective male population size and higher variability in male than female reproductive success (Destro-Bisol et al., 2004Wade and Shulter, 2004Wilder et al., 2004a,bShriver, 2005Hammer et al., 20082010Favre and Sornette, 2012Heyer et al., 2012Balaresque et al., 2015Karmin et al., 2015Poznik et al., 2016). This is also reflected in demographic data showing higher variance in male reproductive success across a range of tribal societies (Betzig, 2012).

Although a sexual division of labor might generate natural selection for hunting ability, there is substantial evidence that dimorphism related to hunting ability has been under sexual selection. In Hadza hunter-gatherers, upper-body strength predicts hunting success, prestige, and reproductive success (Apicella, 2014) and there are similar benefits in the Tsimane (Gurven and von Rueden, 2006) and Ache (Hawkes, 1991). Successful hunters achieve elevated reproductive success through a number of pathways (e.g., Kaplan and Hill, 1985Smith, 2004). Hunting may provide males a costly signaling venue to display traits attractive to females (Bliege-Bird et al., 2001). In other words, sexual division of labor itself may be, at least in part, a consequence of disproportionate male mating competition. The same muscular attributes useful in hunting may also have been sexually selected by providing advantages in aggressive competition among men (or groups of men, see Zeng et al., 2018) for access to mates.

In addition to male muscularity serving a direct role in competing with other males, a number of studies have shown that it is also associated with female judgments of male attractiveness (Horvath, 1981Dixson et al., 2003Fan et al., 2005Geary, 2005Dixson and Dixson, 2007Frederick and Haselton, 2007Honekopp et al., 2007Dixson et al., 2010b) and with reproductive success in China (Schooling et al., 2011), although men may overestimate how much muscle mass is optimally attractive (Lei and Perrett, 2021). These female preferences would have evolved only if there were preexisting fitness benefits to male muscularity (e.g., in contest competition for mates or in hunting).

Sex differences in body mass, muscle mass, and strength are typical outcomes of sexual selection in mammals generally and primates in particular. Their frequency in related species does not guarantee that they were caused by the same sexual-selection processes in humans. However, our confidence that they were will be increased if we see evidence that male mating competition had produced sexual dimorphism in other traits that are not obviously related to hunting.

We can begin with the observation that males are the “fast” sex (sensu Clutton-Brock and Vincent, 1991) in humans, returning to the mate pool more quickly and thus more likely to find mates scarce. Quantitative evidence indicates that more men are excluded from fatherhood than there are women excluded from motherhood, the essential consequence of differential mating competition. For example, there is higher variance in male than female reproductive success across a range of societies and that variance difference increases as populations become more sedentary (Betzig, 2012).

If men evolved to exclude competitors from mating they should have psychological traits designed for that purpose, such as increased aggression, and many kinds of data indicate that men are more physically aggressive than women (Archer, 2009). An indication of how pervasive fighting between young males is in the US can be is found in the results of biennial surveys of American high school students. From 1993 to 2019, an average of 39% of males vs. 23% of females in grades 9–12 in American schools were involved in one or more physical fights in the previous 12 months (NCES, 2021).

A number of studies have found a positive relationship between male reproductive or mating success and aggression (Sadalla et al., 1987Chagnon, 1988Connolly et al., 2000Charles and Egan, 2004Llaurens et al., 2009) and physical dominance (Puts et al., 2006Gangestad et al., 2007Markey and Markey, 2007Bryan et al., 2011) supporting the idea that human male aggression is the result of sexual selection (Archer, 2009Georgiev et al., 2013), as it in other mammals (Gómez et al., 2016). Human females are more prone to choose aggressive and combative males as mates when they feel in danger from other males (Snyder et al., 2011).

The more extreme the nature of the violence, the more extreme are the observed sex differences. Because it is less likely to be an effect of differential socialization by sex, the least contaminated assay of evolved sex differences in aggressive tendencies is same-sex homicide outside of warfare (within-society homicides), because they are nowhere condoned for either sex. Nevertheless, a very large sex difference remains. Men are much more likely to kill a man than a woman is to kill a woman; the discrepancy is large and relatively stable across time and across different modes of subsistence, with males accounting for approximately 95% of all same-sex homicides (Daly and Wilson, 1990). The most common “motive,” according to standard federal reporting criteria, is not robbery but “incident of trivial origin”—status competition that went further (perhaps) than the competitors expected (Daly and Wilson, 1988).

Homicide related to mating competition is a frequent occurrence in many hunter-gatherer societies (Kruger and Fitzgerald, 2012Allen and Jones, 2014), including the “harmless”! Kung, in which most homicides are related to competition for women (Lee, 1993). In the Gebusi, for example, a group with a very high homicide rate of 7 per 1,000, the professed cause was to punish sorcery but the actual cause was to increase male control of marriageable women (Knauft, 1987). Across cultures, time, and species, lethal male-male aggression is strongly related to mating competition (Kruger and Fitzgerald, 2012).

In that context it is relevant that men’s (but not women’s) proneness to anger and history of physical aggression are both correlated with their own physical strength, suggesting psychological mechanisms for the strategic deployment of aggression against conspecifics (Sell et al., 2009); “don’t start it unless you can win it.”

Of course, in addition to competition between individual men within groups, there is also substantial evidence for persistent violent competition between groups in the form of warfare or raiding, which is the most common form of killing seen in chimpanzees (Bowles, 2009Puts, 2010Allen and Jones, 2014Puts et al., 2015Puts, 2016Hill et al., 2017Mann, 2018). Competition between patrilineal groups has been suggested as the cause of a post-Neolithic Y-chromosome bottleneck (Zeng et al., 2018).

When men attack each other (in the absence of weapons) fists slamming into faces is a common pattern. Sexual selection may have been at work in this domain as well. The particular facial bones most frequently fractured in such altercations evolved greater robusticity such that they have been for several million years, and continue to be, the most sexually dimorphic elements of the human skull (Carrier and Morgan, 2015), suggesting that such conflict was predominantly a male-male affair.

If faces are targets of attack in male contest competition, selection may have produced beards as adaptive protection. Beards are a notably derived (e.g., compared to chimpanzees, where the area around the mouth is one of the least hairy regions), and highly dimorphic feature of human anatomy (Darwin, 1871). Facial hair is morphologically distinct from scalp hair in ways that may allow it to deflect and/or absorb blows to the face (Beseris et al., 2020). Men perceive potential competitors with full beards as more dominant (Puts, 2010Dixson and Vasey, 2012Dixson et al., 2017a). As we would expect if it plays a role in male contest competition, beardedness is more prevalent in countries with male-biased sex ratios (Dixson et al., 2019), under crowded conditions (Dixson et al., 2017b), and where economic inequality is high (Dixson and Lee, 2020Pazhoohi and Kingstone, 2020). Compared to clean-shaven faces, beards enhance judgments of male facial masculinity, dominance, and aggressiveness, irrespective of underlying facial structure (Sherlock et al., 2017Mefodeva et al., 2020). Likewise, beards enhance the speed and accuracy of detecting an angry facial expression (Craig et al., 2019Dixson et al., 2021).

If beards are a sexual display, which sex are they displaying to? Several studies that compared the effects of beards on dominance or aggressiveness judgments by men with their effects on attractiveness judgments by women found the male-male effects significantly stronger (Puts, 2010Dixson and Vasey, 2012Dixson et al., 2017a). Still, there is some evidence for female preferences, notably that beardedness is more common where pathogen stress is high (Dixson and Lee, 2020Pazhoohi and Kingstone, 2020), suggesting female choice for good-genes benefits.

Other sexually dimorphic features are even less plausibly related to an adaptive specialization for hunting but apparently related to aggressive male-male interactions. The one-octave sex difference in habitual voice pitch is an example (Puts et al., 2006). Lower voice pitch is much more strongly related to male dominance perceptions than to female attractiveness perceptions (Puts et al., 2007Hodges-Simeon et al., 2010Rosenfield et al., 2020), and situational lowering of male voice pitch elevates listeners’ perceptions of the speaker’s aggressive intent (Zhang et al., 2021).

The strong sexual dimorphism in both voice pitch and facial hair results in what animal behaviorists would call male sexual ornaments. Comparative research suggests that men are roughly as ornamented as males in polygynous primate species with large, fluid social groups (Dixson et al., 2005Grueter et al., 2015). Beards and low-pitched voices are especially relevant to our analysis because an array of experimental studies links them to aggressive male-male competition in a way that they cannot be plausibly linked to the alternative hypothesis of selection for hunting abilities.

Lastly, ontogeny also provides relevant evidence about the evolution of human sexual dimorphism. The sex differences that are the focus of our article—stature, body mass, body fat and lean mass, fat distribution, muscularity and strength—all emerge or are significantly amplified around sexual maturity. This timing suggests they are related to reproduction rather than to sex-specific ecological adaptations.

Increase in Female Stature to Accommodate Larger Brained Fetuses

Gestation and lactation are demanding mechanically, energetically, and in terms of supplying particular nutrients to the fetus (e.g., calcium for the skeleton, fat for the brain). Because males do not face these demands it would be surprising if disruptive natural selection had not caused female and male phenotypes to diverge with respect to these demands. We have suggested two such adaptations.

One is the increase in female stature relative to males. With the transition to larger-brained Homo from earlier Australopithecus, sexual dimorphism in stature decreased. This decrease is widely regarded as indicating a shift to a more monogamous mating system with a concomitant decrease in male mating competition (a sexual-selection explanation). But this explanation ignores potentially relevant facts: The decrease in stature dimorphism was accomplished via size increases in both sexes, with the female size increase being relatively greater than the male.

We interpret these facts as indicating some novel selection pressure on females, and specifically highlight the difficulty of delivering a large-brained infant.

Our analyses of contemporary data show that taller women, and women closer in stature to their mates, are less likely to experience an emergency Caesarian section (a proxy for the kinds of birthing difficulties that would have reduced female fitness during hominin evolution). To the extent that our data are relevant, the current level of human stature dimorphism seems: (1) to have been significantly shaped by viability and fecundity selection on women and, (2) consequently, underestimates the intensity of sexual selection on males.

Why Do Women Have so Much Fat?

The second adaptation in human females likely brought about by natural selection is the increase in the percentage of body fat. Currently, there is no scientific consensus about why women (and to a lesser extent men) have such high levels of body fat. Fat is heavy and, unlike muscle, does not contribute to its transport costs. For this reason, no animal should store more fat than it needs.

One suggestion is that hairlessness increased our need for insulation against hypothermia (Kushlan, 1980) although, even if correct, this idea would not explain the sex difference. Pond (1992) has presented comparative mammalian evidence from the Carnivora, an order with species in a wide array of habitats from tropical to polar, and found no support for the idea that fat deposits evolved primarily for insulation. Moreover, hominins were a tropical lineage throughout most of their history with relatively little need for insulation. If insulation were the main purpose of human fat we should have very little, or there should be large population differences in body fat—correlated with latitude—that evolved as our ancestors began moving out of Africa.

Wells (2012a) shows a very weak positive correlation between peripheral body fat (as assayed by triceps skinfold) and latitude, but only when he omits the Polynesian populations from his sample. Regardless, tropical African hunter-gatherers such as the Hadza at 10.6–13.5% body fat for men and 19.0–20.9% body fat for women (Sherry and Marlowe, 2007Pontzer et al., 2012) have far too much adipose to support the insulation hypothesis for high levels of human fat deposition.

The obesity epidemic, while real, is also not the explanation, because Wells’s (2012a) sample of non-industrial populations (Table 1) and our sample of foragers and horticulturalists (Table 1 and Supplementary Table 1) show that high levels of body fat are human universals.

Because only women gestate and lactate, this sex difference is widely assumed to have favored their disproportionate fat deposits (e.g., Frisch, 1984Power and Schulkin, 2008Kirchengast, 2010). But if this were the correct explanation, all mammals should exhibit similar sex differences in body fat. In contradiction to this expectation, significant sex differences in total fat deposition are not the norm in mammals (Pond, 1978Pond and Mattacks, 1985) nor in primates, and sometimes are skewed in the opposite direction with males being fatter (Macaca fasicularisPond and Mattacks, 1987Papio anubisEley et al., 1989Papio cynocephalusAltmann et al., 1993Macaca mulataColman et al., 1998Callithrix jacchusPower et al., 2001Macaca fuscataHamada et al., 2003Propithecus verreauxiLewis and Kappeler, 2005Raman et al., 2005).

Could the higher fat levels in human females be due to their needing more energy during pregnancy and lactation than other primates? This seems unlikely. Studies show that the energy costs of pregnancy and lactation in relation to maternal weight in humans are similar to other primates and apes, and primate females typically deal with the energy costs of pregnancy and lactation by increasing food intake (Dufour and Slather, 2002).

Although primates generally have longer gestations than other mammals, thus decreasing their daily energy requirement, the length of gestation in humans in relation to the mother’s weight is close the primate regression line (Dufour and Slather, 2002) and daily maternal energy investment is also on the regression line for other apes (Ulijaszek, 2002). Human lactation costs are also similar to other primates. The lactation period for human females (based on the !Kung) is below the regression line for primates and apes (Dufour and Slather, 2002). The relatively dilute concentration of nutrients in human milk is similar to other primates (Dufour and Slather, 2002) and the calories per gram are lower than in baboons and other monkeys (Oftedal, 1984). Women’s cost of lactation in relation to weight is much lower than in many other mammals and similar to baboons (Prentice, 1988). In other words, species differences in the energetic costs of reproduction would not seem to demand greater stored resources in women than in our primate relatives.

In species with well-defined breeding periods, males may seasonally accumulate additional fat to facilitate aggressive competition for mates (Boinski, 1987Bercovitch, 1992) or females may do so to support their maternal investment (Hamada et al., 2003). But in her comprehensive review of fatty tissues in wild vertebrates, Pond (1978) remarked that the perpetually large fat deposits in human females are very unusual.

The exceptional nature of women’s high fat storage is further underscored by a comparative analysis across 87 mammal taxa which showed that, in species with alloparental care—whether by the father or others—females store less fat (Heldstab et al., 2017) presumably because, by providing some resources, fathers and allomothers reduce the demands on mothers. It has been estimated that alloparenting decreases the lifetime reproductive effort of human females by 14–29% compared with other mammals (Bogin et al., 2014). Thus, to be as large they are, to manifest relatively early in development, and to be so permanent in a species with significant alloparental care, women’s fat deposits must have been shaped by both strong and relatively unique selection pressures.

Perhaps women’s higher percentage of fat is explained by another unique human trait: our large brains. All female mammals must provision the development of their fetus and infant, but none must build as large a brain in proportion to their own body size. Brains not only consume large amounts of energy from glucose, but they require significant amounts of quite specific fats—notably, long-chain omega-6 and omega-3 polyunsaturated fatty acids—as major building blocks.

On a dry-weight basis, the human brain is about 60% fat (Bradbury, 2011), and two rare long-chain fatty acids, the omega-3 docosahexaenoic acid (DHA) and omega-6 arachidonic acid, each constitute about 10% of brain fatty acids (Makrides et al., 1994), with DHA playing the most critical role in brain development and function (Lauritzen et al., 2016). These essential fatty acids cannot be synthesized by humans and thus must come from the diet and be stored until needed.

The percentage of DHA in stored fatty acids reflects the percentage in the long-term diet and is seldom more than 0.4% of total adipose (Knutsen et al., 2003Luxwolda et al., 2014). However, when there is less DHA in the diet, the concentration of DHA in stored adipose is consequently lower, and the only way to store more DHA is to increase the total amount of adipose (and hence BMI). Women with less DHA in the diet thus tend to have more fat: Female BMI is inversely related to the amount of DHA in the blood (Sands et al., 2005). Contemporary studies indicate that DHA is preferentially stored in gluteofemoral fat and then mobilized during pregnancy and lactation (see “Possible Reasons for Sex Differences in Regional Fat Distribution” below).

This neuro-developmental perspective potentially explains why human mothers need more fat than mothers of other mammalian species (Cunnane and Crawford, 2003Lassek and Gaulin, 200620072008Wells, 2006) and also explains why human neonates have so much body fat (Cunnane and Crawford, 2003Correia et al., 2004). Because the amount of various fatty acids that can be stored is proportionate to their occurrence in the diet, and because critical omega-3 fatty acids are dietarily scarce, fat stores must be large to contain significant amounts of this critical brain-building fat (Lassek and Gaulin, 2006).

This perspective, if correct, has the advantage of uniting under one explanatory umbrella three highly derived human states: exceptionally large brains, higher levels of body fat than any non-hibernating, non-migrating mammal, and greater sexual dimorphism in body fat than any other mammal. Other hypotheses, such a need for protection against hypothermia, do not fit the comparative data and do not explain the large sex difference. From our perspective, sex differences in the percentage of body fat would be explained by disruptive natural selection favoring larger fat stores in women.

This view contrasts to some degree with the prevailing literature, where women’s fat stores are often viewed as the outcome of sexual selection acting via male choice. Given the extensive evidence concerning male mating preferences for female body shape, there is no doubt that such selection has occurred, but two issues require attention. First, the male preference should not have evolved unless it was targeting existing viability or fecundity differences among females (in other words, such preferences evolved to track what natural selection on females was already favoring). Second, as many studies make clear, the relevant target of male choice is female body-fat distribution, as discussed below.

Possible Reasons for Sex Differences in Regional Fat Distribution

The evolutionary reasons for the sex difference in adipose storage are not fully understood. Mechanically, adding weight in the form of body fat to a limb increases the force required to move it, without increasing strength, so peripheral fat must compromise the agility and power of the arms and legs. That mechanical effect could disfavor peripheral fat deposits in the sex competing more intensely for mates—males, as we have argued in the human case. But why would peripheral fat be favored in women? And why should it be localized to a few depots, rather than deposited as a smooth sheath beneath the skin of the whole body?

Various answers have been offered to one or both questions. Positioned near the center of mass of the body, the gluteofemoral depot may stabilize locomotion and provide a counter-balance to the frontal mass of a developing fetus (Pawlowski, 2001Pawlowski and Grabarczyk, 2003). Another suggestion is that women may shunt fat from visceral to subcutaneous depots to increase the available space for gestation and to reduce intra-abdominal pressure on the fetus (Abrahim, 2021).

Another line of thinking connects to the neurodevelopmental explanation for women’s high levels of body fat (section “Why do Women Have so Much Fat?” above). Relative to other depots, the gluteofemoral depot is protected against use for ordinary energy needs but is then systematically drawn down during late pregnancy and lactation (Rebuffe-Scrive et al., 1985Rebuffe-Scrive, 1987Lassek and Gaulin, 2006)—the key period of fetal and infant brain growth.

During lactation most of the long-chain fatty acids in maternal milk come from stored fat rather than from the mother’s current diet (Lassek and Gaulin, 2006), and the gluteofemoral depot seems to be the primary source of the omega-3 and omega-6 fats that are essential for fetal and infant brain development (Lassek and Gaulin, 2007). Women who have adequate food supplies eat substantially less than they need to calorically support lactation and instead mobilize stored fat. Is that to provide critical materials stored in that fat?

During the female reproductive lifespan, there is a decrease in the relative amount of gluteofemoral fat with parity (Lassek and Gaulin, 2006). Based on data from NHANES 1999 to 2006, the ratio of leg fat to trunk fat (which is highly correlated with the waist-hip ratio, but measures actual fat) drops with each successive birth (Figure 2), suggesting that gluteofemoral resources are differentially consumed in reproduction. Women with a higher thigh/waist ratio have higher levels of DHA, the omega-3 fat found at high levels in the brain (Lassek and Gaulin, 2019). These polyunsaturated fats—especially the omega-3s—are relatively unstable and possibly best stored in cooler subcutaneous rather than warmer visceral locations.

FIGURE 2
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Figure 2. Relationship between live births and leg/trunk fat ratio in 7,753 women 12–49, with 95% confidence intervals, NHANES 1999–2006.

All of the effects on body fat mentioned thus far would result from natural selection, through the more efficient locomotion of the woman or through the production of infants with better-provisioned brains. However, once such selective differentials existed, sexual selection might begin to operate via evolved male preferences for women whose subcutaneous fat deposits indicated superior brain-building potential (Lassek and Gaulin, 2008). A similar argument was advanced by Cant (1981), noting that concentrated fat depots (e.g., buttocks and breasts) more effectively advertised a woman’s stored maternal resources, but did not explicitly identify neurodevelopmental resources as limiting. One study (Szalay and Costello, 1991) attributes all sexually dimorphic fat to sexual selection, but that explanation is incomplete; some pre-existing adipose-related fitness gradient in women is a precondition for the evolution of male preferences that track the gradient.

This logical requirement suggests there was prior natural selection on females for discrete fat depots, perhaps sorted by type of fatty acid and/or intended usage—with male preferences simply evolving to differentially attend to the depots most relevant to female mate quality. Currently, the gluteofemoral depot is the primary source of brain-building fats (above). That fact is consonant with the extensive psychological literature showing that men selectively attend to women’s waist/hip ratios in evaluating female attractiveness (e.g., Singh, 1993Sugiyama, 2005Singh and Randall, 2007Dixson et al., 2010a,bc2011Brooks et al., 2015), with some researchers arguing that preference data suggest the waist/hip ratio is a supernormal stimulus (Marković, 2017). Several reviews have evaluated and rejected the idea that waist/hip ratios broadly track health and fertility (Lassek and Gaulin, 2018a,bBovet, 2019), thus suggesting it provides more specific information content.