Superstitious minds

Mini post. Kinda. Why is Benedict Cumberbatch so ugly?

No really. If we’re doing red pill observations, humour me.


I mentioned before about old world superstitions forgotten in recent years.
As recently as my parent’s generation, they considered ugly children the product of sin, that God was punishing their parents for their sin. You can still find this info around if you look but they rarely dive into it.

You could say it’s about STDs but back then people rarely travelled and slept around enough to frequently catch them. The modern microbiome of the slut is more taxed. So what?

Back to the school mocking. If a child had always married parents but became ugly in the teens, questions would be asked openly and they would get teased about whether one or both parents had ever cheated. This is where we get the term bastard. It isn’t actually about bastards, it’s about ugliness. The ugliness of parental deceit.

You can pretty much tell when there’s a birth defect in a baby, the eyes look dull if it’s mental. It’s a known indicator of fatal defects.

https://www.sciencedirect.com/science/article/pii/S1875957214001703

2015 Birth Defects in the Newborn Population: Race and Ethnicity

Overall birth defect prevalence was 29.2 per 1000 in a cohort of 1,048,252 live births, of which 51% were Caucasians.

Full white or mongrelised? Let’s assume pureblood despite America (mixed white, mostly). American whites are on average less attractive as white blended than single nation counterparts, even living in America. Models tend to come from homogeneous national areas, (i.e. subrace) a finding that is known to apply to white settlers in Brazil to this day, they send scouts. Specifically.

https://www.thecut.com/2010/06/model_scouts_find_more_than_ha.html

Compared with Caucasians, the risk of overall birth defects was lower in African–Americans (relative risk = 0.9, confidence interval 0.8–0.9) and Hispanics (relative risk = 0.9, confidence interval 0.8–0.9).

Failure to consider abortions for “no” reason or gender as defective. Selection bias. A lot of those already had abortions because they’re high abortion groups!

The risk of overall birth defects was similar in Caucasians and Asians. Relative to the Caucasians, African–Americans had a lower risk of cardiac, genitourinary, and craniofacial malformations but a higher risk of musculoskeletal malformations. Hispanics had a lower risk of genitourinary and gastrointestinal malformation. Asians had a higher risk of craniofacial and musculoskeletal malformations.

Didn’t control for proportion in the population, then non-whites are way ahead.

Craniofacial = ugly. 

Musculoskeletal = ugly. Well, dumpy.

Unless you’re going to argue a big is beautiful for literal birth defects?

And “similar” isn’t same. It isn’t statistical. This is like IVF success studies again (see below).

Why did some old world men witness the birth? All babies look like those reddish potatoes, it can’t be a resemblance. You can tell a resemblance to one parent over another by middle childhood to puberty.
We’re told that it’s about adultery and it might be true if you suspect a man with certain features e.g. skin colour, an extra finger.

Yet, what can you tell at birth? Ugliness.
Whether or not the man in question remembers that reason.

Cinderella effect also applies to genetic but ugly kids (lookism, it’s aka). The parents reject them, even if one genetically caused their fug.

Take Cumberbatch, product of a union involving adultery.
Fugly. Nice voice, but his father is the looker. Mother is a looker too. The issue cannot be genetic.

Some superstitions have a basis in fact.

Why did old ladies peer into a pram to judge the ugliness of the babe?

To see if you’re a SINNER!

[inc Thou shalt not adulterate]

Picking on an ugly white guy wouldn’t be totally kosher. I have other evidence.

We’re looking for spiteful mutants.

Now the post gets huge.

To more data, ever more data, smother the liars in data:

https://www.ons.gov.uk/aboutus/transparencyandgovernance/freedomofinformationfoi/informationregardingmixedraceparentage

“Please may I request the following information, records and documentation under the Freedom of Information Act:

Information in regard to people of mixed race parentage- often called ‘white and black Caribbean’, ‘white and black African’, ‘white and Asian’, ‘other mixed’- being at increased risk of being born with a birth defect, stillborn, or of suffering from fertility problems in their adult lives, which is related to their mixed race parentage

Information regarding NHS policy and practice on the advising of interracial couples, who are prospective parents, about the increased risk of their child being born with a birth defect, stillborn, or infertile in adult life, which would be connected to their, the child’s, mixed race parentage

Please may I also request statistical information and records which display the following:

The percentage of overall cases of babies born with a birth defect, which is attributable to each ethnic group

The percentage of overall cases of babies still born, which is attributable to each ethnic group

The percentage of overall cases of infertility, which is attributable to each ethnic group

The percentage of overall births, which is attributable to each ethnic group”

Reply:

“In Tables 8 and 10, mixed race is included in a single category of Mixed, Chinese and any other ethnic group. This is because the numbers in these groups are sufficiently low to risk being disclosive, and follows agreed statistical guidelines.
a) being born with a birth defect – this information is shown in Table 10.
b) being still born – this information is not published. However, you could request a special extract (further details of how to do this are explained below).
c) we do not hold any information on infertility, and are therefore not able to answer your question about adults suffering from fertility problems, connected to their mixed race parentage.”

Do not hold information my lily-white arse.

https://www.independent.co.uk/voices/infertility-ivf-nhs-race-lgbt-asian-black-women-a9216921.html

Table link: https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/causesofdeath/bulletins/gestationspecificinfantmortality/2014-10-15

“Page does not exist”.

It’s this paper.
https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/causesofdeath/bulletins/pregnancyandethnicfactorsinfluencingbirthsandinfantmortality/2014-10-15

“Some research suggests that Black and Asian women have shorter gestation than White European women, and that this may be due to earlier fetal maturation (Patel et al., 2004). The discrepancies in gestation by ethnicity may also be explained by socio-economic, behavioural and physiological differences among the different ethnic groups (Gray et al., 2009).”

In an ONS report. They know.

“Table 10 (184.5 Kb Excel sheet) shows that for four of the five combined ethnic groups analysed, the most common cause of infant death was immaturity related conditions

(Black, 54%;

Mixed, Chinese and any other group, 44%;

White, 43%;

For a majority, that’s incredibly low.

and those where ethnicity was

not stated, 49%).

For the Asian group, the most common cause was congenital anomalies (41%). A higher incidence of congenital anomalies in Asian populations is well-documented (Gray et al. 2009).”

http://www.ons.gov.uk/ons/rel/child-health/gestation-specific-infant-mortality-in-england-and-wales/2012/rft-table-1.xls

Low birthweight and prematurity are both measures of fetal development. Another measure is the baby’s size in relation to its gestational age. Babies whose birthweight lies below the tenth percentile for their gestational age are known as ‘small for gestational age’ (SGA).

Not all babies who are SGA have a pathological growth restriction; they may just be constitutionally small.

read: racially

This may explain why babies of Bangladeshi, Indian or Pakistani origin are more likely to be SGA than White British babies.”

Smaller brains too. Inbreeding depression but also group average by nation. Look at national IQ.

https://www.photius.com/rankings/national_iq_scores_country_ranks.html
Bangladesh 82
Over one whole standard deviation below. According to the likes of Peterson, useless to a Western economy. The average Bangladeshi.
India 82
Recall regression to the mean. Also, friendliness correlates more to low IQ. Do not be fooled.
Pakistan 84
Thailand 91
Philippines 86
Nigeria 84
Jamaica 71, where we’re picking up new NHS nurses.

Enjoy that decline.

Tables 8 and 10 mentioned in FOI request not listed, have to know it’s there.
Under Downloadable Tables:

“Table 8: Live births, neonatal and infant mortality by ethnic group and gestational age at birth, 2012 birth cohort, England and Wales

Table 10: Infant mortality by ONS cause groups and broad ethnic group, 2012 birth cohort, England and Wales”

For future reference, write your FOI requests as “concern for services provided to BAME women” and “progressive need for up-to-date medical guidance for mixed race couples and the biracial in family planning”.

You have to download the excel, click to tables 8 and 10, then read the footnote of superscript 1 to know to scroll right.

Table 8: All others^1
7.1% under 37wks
9.2% SGA

Black SGA: 9.2 and 12.3%.
Bangladeshi, Indian, Pakistani only SGA: 17%, 16.3%, 14.2%.
White SGA: 7.2%, 6.2%.
Unknown 8.2%.
ALL SGA average: 8.2%.

Something’s off.

Pre-term neonatal deaths
Total: 869
B,I,P: 9, 30, 47
Black: 39, 13
White: 549, 63
Unknown, not stated: 32
All others^1: 87
For such a vanishingly small percentage of the population, how is it 87?
10% of pre-term deaths were “1 Chinese, Other Asian, Other black, Other and all Mixed groups.”

Do you see what I see?

For non-statistically minded people:

Infant death, pre-term
Total: 1232
B 21
I 41
P 66
Black African: 62
Black Caribbean: 20
W native 750
W other 86
Not stated 48
All others^1: 138

See it yet? If you controlled for population ratio, it’d be more dramatic by far.

This is why they hide it and I have to make my own charts.

Term infant deaths
Total: 895
All others^1: 102.
That’s 11.4% from a tiny group of mixed.

Table 10 screen-capped, do your own charts.

Related studies, I do have a point about measurement error.

https://iussp2009.princeton.edu/papers/93139
2009 Fertility by ethnic and religious groups in the UK, trends in a multi-cultural context

Asian tsunami in USA too
https://www.statista.com/statistics/226292/us-fertility-rates-by-race-and-ethnicity/

https://www.statista.com/statistics/281416/birth-rate-in-the-united-kingdom-uk/

From one of the links, can’t find which. Calm down. Either they’re abstaining from having kids once here, infertile, the neonate dies or it’s retarded. Being here is actually a curse since they’re held to the standards and economy of a higher IQ nation. They’re voter birds here for a season or tax chattel and they’ll leave when it’s convenient to.

Ethnicity and IVF

“How a patient’s ethnic background affects her chance of pregnancy, especially with IVF, is a fascinating yet poorly studied area of research. According to a 1995 national survey of family growth, non-Caucasian married women were more likely to experience infertility than Caucasian married women, yet these same non-Caucasian women were less likely to receive any type of infertility treatment—especially treatment with assisted reproductive technologies.

There is very little data in the literature examining ethnicity and its affect upon pregnancy rates with in vitro fertilization (IVF). Ethnic minorities compose a small percentage of patients in the nation’s IVF programs, making it relatively difficult to examine how they respond to various infertility treatments. In the few studies that have examined the affect of ethnicity on IVF pregnancy rates, differing outcomes have been found.

There have been only a few studies specifically comparing IVF success rates between African Americans and Caucasians. The results of two of these studies contradict each other, with one showing that African Americans had decreased pregnancy rates with IVF as compared to Caucasians, and the other finding no difference in pregnancy outcomes with IVF between these two ethnic groups.

Likewise, there are only a few studies directly comparing IVF pregnancy outcomes between Indians and Caucasians. One shows a trend towards decreased pregnancy rates in Indian women and finds that Indian women were significantly more likely to have their cycle cancelled as compared to Caucasian women. In comparison, another study found no significant difference in IVF pregnancy rates between Indians and Caucasians. A more recent study has shown that Asian ethnicity was an independent predictor of poor outcome with IVF. There have been no studies examining IVF pregnancy outcomes in Hispanics in comparison to any other ethnic groups.

We’ll see why.

When I was in training, I published the first study comparing IVF outcomes among multiple ethnic groups. It was a retrospective study utilizing a data set that was the result of the collaboration between three IVF centers in the Boston area: Boston IVF, Brigham and Women’s Hospital IVF Center, and Reproductive Science Center.
We retrospectively reviewed the cycles of 1,135 women undergoing IVF between 1994 and 1998. Only the first IVF cycle for each couple was reviewed. Ethnicity was self-reported. Women who categorized themselves as having a mixed ethnic background were excluded.

Seriously. Measurement bias much?

….In order to better understand how ethnicity affects IVF outcome, it will be necessary to study a larger number of minority patients. In these studies, it is important that all ethnicities be included. If racial differences do exist, IVF treatment protocols could be adjusted to improve the success rates for patients of all ethnic backgrounds. Therefore, further exploration in this area is necessary and very important.”

We did that.

https://www.rcog.org.uk/en/news/bjog-release/

“After adjusting for certain factors including the age of the patient at time of treatment, cause of female or male infertility, and type of treatment (ICSI vs IVF), the study found that White Irish, South Asian Indian, South Asian Bangladeshi, South Asian Pakistani, Black African, and Other Asian women had a significantly lower odds of a live birth than White British women. For example, the live birth rate for White British women was 26.4% compared to 17.2% for White Irish women and 17.4% for Black African women.

The study also found that some groups of women including South Asian Bangladeshi, Black African, Middle Eastern, have a significantly lower number of eggs collected than White British women.

Moreover, South Asian Indian, South Asian Bangladeshi, South Asian Pakistani, Black British, Black African, Black Caribbean and Middle Eastern women were at a higher risk of not reaching the embryo transfer stage.

The paper explores the possible reasons behind the variation and states that while genetic background could be a potential determinant of egg and sperm quality, variation in environmental exposures relating to lifestyle, dietary factors, socio-economic and cultural factors could be influencing egg and sperm quality, accessibility of fertility treatment and behaviour towards seeking medical care and consequently reproductive outcomes.

No, they were living in the same place. Muh Magic Dirt.

Genetics is the ONLY difference now.

You have NOTHING.

DNA causes germline DNA, really? Maybe?

Furthermore, the increased prevalence of polycystic ovary syndrome (PCOS) in South Asian women may have an impact on egg quality and lower implantation rates.

Shit tier WHR tipped us off on that one, see end.

Dr Kanna Jayaprakasan, Consultant subspecialist in Reproductive Medicine, Derby Fertility Unit, Royal Derby Hospital; Honorary Associate Professor in Gynaecology, University of Nottingham and senior author of the paper, said:

“The data suggests that ethnicity is a major independent factor determining the chances of IVF or ICSI treatment success.

“While the reason for this association is difficult to explain, the potential factors could be the observed differences in cause of infertility, ovarian response, fertilisation rates and implantation rates, which are all independent predictors of IVF success.

“The main strengths of the study are the use of the UK HFEA national database which includes a large number of women treated in all UK units. However, the numbers in some of the sub-ethnic minorities, such as Bangladeshi women, were low in the study.”

Professor Adam Balen, spokesperson for the Royal College of Obstetricians and Gynaecologists (RCOG) and Chair of the British Fertility Society (BFS) said:

“Infertility affects 10-15% of the population and more people are seeking fertility treatment.

“This interesting study looking at maternal ethnicity provides useful data based on a large number of women undergoing fertility treatment. The reasons behind the variation need to be looked at in more detail but in the future could potentially help improve success rates amongst all groups of women.”

Nope!

https://www.sciencedirect.com/science/article/abs/pii/S1472648315002564

“Black and South Asian women were found to have lower live birth rates compared with White women”
“Black and South Asian women seem to have the poorest outcome, which is not explained by the commonly known confounders. Future research needs to investigate the possible explanations for this difference and improve IVF outcome for all women.”

Almost like Anglo women evolved to breed in the Anglo climate?

The Ice Age killed the boyish ones.

MORE:

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2636517/

“Variation in risk factors and outcomes was found in infants of White mothers by paternal race/ethnicity.”

I wonder which way.
Inbreeding or outbreeding depression?

Guess.

“Status exchange hypothesizes that in a marriage market framework, minority men marry less-desired White women (e.g., of lower education) in exchange for higher social status. The second hypothesis, in-group preference, simply suggests that people prefer members from their own group, and thus, intermarriage is the less desirable scenario.”

Dudebros like “where’s da studies?”

I’m like “Have you even looked?”

“Together they found that mixed-race couples differed significantly with respect to their sociodemographic characteristics from the endogamous couples. After control for those variables, biracial infants were found to have worse birth outcomes than infants with 2 White parents but better than infants with 2 Black parents.6,8–12 (Henceforth, infant’s race/ethnicity will be referred to by the notation “maternal race/ethnicity–paternal race/ethnicity” [e.g., White–Black].)”

DING DING DING DING DING

TIL Wombs iz white supremacist.

“Consistent with Table 1, infants in the White–unreported group had the worst birth outcomes in each category.”

Trans. mixed. Likely Asian since S. America and Black are already covered.

Learn to read, weebs.

“In general, I found substantial variation in birth outcomes within the group of infants with White mothers and fathers of different racial/ethnic groups. This is interesting because it shows that the common practice of using maternal race/ethnicity to refer to the infant’s race/ethnicity, regardless of father’s race/ethnicity, can be problematic.

aka nice way of calling out deception

For example, it is not uncommon for a study to refer to infants of White mothers as “White infants,” even though “White infants” may imply that the fathers are White. In this study, I demonstrated that infants of a White mother and a White father, the real “White infants,” have the better birth outcomes than do those infants of a White mother and a non-White father. Therefore, the practice of using “White mother” to refer to White infants will yield lower estimation of the birth outcomes because there are infants of non-White fathers in the sample.”

They know. It’s a cover-up.

Category errors galore.

“The infants in the White–White group had the most-advantaged birth outcomes, followed by infants in the 3 Hispanic-father groups. Infants in the White–Black group had the second-most-disadvantaged birth outcomes; the differences in birth outcomes between White–Black and White–White infants were statistically significant: White–White infants had a 2% (70 g) higher average birthweight, 26% lower LBW rate (4.64% vs 6.26%), and 39% lower infant mortality rate (0.43% vs 0.71%) than did White–Black infants. Infants in the White–unknown group had the most-disadvantaged outcomes in each category. These heterogeneities within White mothers show that the common practice of using maternal race/ethnicity to refer to the race/ethnicity of the infant is problematic: White–White infants had the best birth outcomes among the groups studied, so any other paternal race/ethnicity pulls down the averages for all White mothers. That is, the birth outcomes of White–White infants are actually underestimated by researchers who use mothers’ race/ethnicity to refer to infants’ race/ethnicity, and thus, the racial/ethnic disparities between White and any other race/ethnicity may be underestimated accordingly as well.”

Relevant!

“…Clearly, the unreported father is a proxy for more-noteworthy factors, because if unreported fathers were merely missing from certificates, their infants’ outcomes should not be so much worse.”

What DO these studies have in common? [Asians]

Could also be child of rape as a confound.

You’ll see.

2012 Biracial couples and adverse birth outcomes: a systematic review and meta-analyses.
https://www.ncbi.nlm.nih.gov/pubmed/22776059

“Biracial status of parents was associated with higher risk for adverse pregnancy outcomes than both White parents but lower than both Black parents, with maternal race having a greater influence than paternal race on pregnancy outcomes.”

Evolution is racist or instincts evolved for reasons? Pick ONE.

Your Third World surrogate plan may need retouching.

If it fails or dies or gets retarded, you still gotta pay up! What are the odds?

Why is it so hard to find studies about the most populous race on the planet?
https://www.ncbi.nlm.nih.gov/pubmed/31238617

https://www.ncbi.nlm.nih.gov/pubmed/30564431
2018
What is associated with IQ and other development issues? Pre-term birth.

“Maternal age, education level, race and ethnicity, smoking during pregnancy, and parity were significant risk factors associated with PTB.”

It’s mentioned along with smoking.

“…The analysis of interactions between maternal characteristics and perinatal health behaviors showed that Asian women have the highest prevalence of PTB in the youngest age group (< 20 years; AOR, 1.40; 95% confidence interval (CI), 1.28-1.54).”

I want more studies about them. I’m not scared of reality.

That suggests a genetic predisposition to be present so young. I’d compare PTB to WHR, personally.

“Pacific Islander, American Indian, and African American women ≥40 years of age had a greater than two-fold increase in the prevalence of PTB compared with women in the 20-24 year age group.”

Their own women.

Pre-term study and IQ:

https://pediatrics.aappublications.org/content/136/3/415
“RESULTS: Across all assessments, VP/VLBW individuals had significantly lower IQ scores than term-born controls, even when individuals with severe cognitive impairment (n = 69) were excluded. IQ scores were found to be more stable over time for VP/VLBW than term-born individuals, yet differences in stability disappeared when individuals with cognitive impairment were excluded. Adult IQ could be predicted with fair certainty (r > 0.50) from age 20 months onward for the whole VP/VLBW sample (n = 260) and from 6 years onward for term-born individuals (n = 229).

CONCLUSIONS: VP/VLBW individuals more often suffer from cognitive problems across childhood into adulthood and these problems are relatively stable from early childhood onward. VP/VLBW children’s risk for cognitive problems can be reliably diagnosed at the age of 20 months. These findings provide strong support for the timing of cognitive follow-up at age 2 years to plan special support services for children with cognitive problems.”

So it doesn’t cause but it is associated. Humans evolved long gestation for the brain.

Clear defect evidence in the genes- study it!
https://www.ncbi.nlm.nih.gov/pubmed/29903290

But surely, you say, genetic issues would be also hormonal (hormones regulate genes as well) and apply to men?
Well…
https://www.ncbi.nlm.nih.gov/pubmed/31348744
Yes. Yes it would.

“A total of 9079 patients were reviewed, of which 3956 patients had complete data. Of these, 839 (21.2%) were azoospermic. After adjusting for age, African-Canadians (odds ratio [OR] 1.70; 95% confidence interval [CI] 1.28-2.25) and Asians (1.34; 95% CI 1.11-1.62) were more likely to be azoospermic compared to Caucasians.”

Some of us form opinions AFTER reading.
White men are literally more fertile and most fertile with white women.

“Similarly, African Canadians (OR 1.75; 95% CI 1.33-2.29) were more likely to be oligospermic and Asians (OR 0.82; 95% CI 0.70-0.97) less likely to be oligospermic. Low volume was found in African-Canadian (OR 1.42; 95% CI 1.05-1.91), Asians (OR 1.23; 95% CI 1.01-1.51), and Indo-Canadians (OR 1.47; 95% CI 1.01-2.13). Furthermore, Asians (OR 0.73; 95% CI 0.57-0.93) and Hispanics (OR 0.58; 95% CI 034-0.99) were less likely to have asthenospermia. Asians (OR 0.73; 95% CI 0.57-0.94) and Indo-Canadians (OR 0.58; 95% CI 0.35-0.99) were less likely to have teratozospermia. No differences were seen for vitality. No differences were seen for FSH levels, however, Asians (p<0.01) and Indo-Canadians (p<0.01) were more likely to have lower testosterone.”

It’s always the damn Asians.
Magic Dirt won’t fix your shitty sperm.

Maybe if we spend more on the NHS! The evolution fairy may visit!

The lower sexual dimorphism of Asians makes them functionally partially infertile. This is why they marry so young (it isn’t traditionalism) and despite this, have a low birth count per person, and are the most populous race on Earth. They’re actually the most r-selected, Mother Nature holds them back from fertilization with mutations. Along with r-selection, more total fertility issues in the male/offspring (azoospermia, infant death), lower volume AND lower testosterone, it all fits!

Is that my fault? No. Stop blaming me for reading. I’m not, in fact, God.

Hey, we have our own group with shitty sperm. Theirs is just bigger and more characteristic of the whole.

from https://www.ncbi.nlm.nih.gov/pubmed/26962784

“AR-CAG repeat length was longer in infertile men in Asian, Caucasian, and mixed races (SMD = 0.25, 95% CI: 0.08-0.43, P <0.01; SMD = 0.13, 95% CI: 0.02-0.25, P <0.05; SMD = 0.39, 95% CI: 0.15-0.63, P <0.01).

Notice p-value difference is so loose for white it doesn’t meet the medical standard? 0.05 is too high. Absurdly.

The overall study shows that increased AR-CAG repeat length was associated with male infertility. The subgroup study on races shows that increased AR-CAG repeat length was associated with male infertility in Asian, Caucasian, and mixed races. Increased AR-CAG repeat length was also associated with azoospermia. This meta-analysis supports that increased androgen receptor CAG length is capable of causing male infertility susceptibility.”

In the interest of intellectual honesty.

WHR

We literally have the studies. e.g. It’s metabolic.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4306982/

“Sixty-four PCOS patients and 40 women served as the control group were studied. The two groups were subdivided according to the body mass index (BMI) into two obese and non-obese groups. Waist:hip ratio (WHR), plasma epinephrine level was estimated, sympathetic skin response (SSR); postural orthostatic tachycardia syndrome, heart rate variability (HRV), and valsalva ratio were measured in both groups.”
“Compared to the control group, obese PCOS patients demonstrated higher BMI and WHR, reduced palmar SSR latency and higher amplitude, altered HRV, higher plasma epinephrine level, and rapid pulse rate. Moreover, non-obese patients show reduced palmar SSR latency and higher amplitude, higher plasma epinephrine level, and higher pulse rate. BMI and WHR of the patients were positively correlated with plasma epinephrine level; while the HRV was negatively correlated WHR.”
“The BMI and WHR were significantly higher in the PCOS patients compared to the control group 36.63±4.23 kg/m2 vs. 34.14±3.39 kg/m2 (p=0.041) and 0.88±0.05 compared to 0.79±0.11 (p=0.001), respectively.”

“We demonstrated high plasma epinephrine level during lying and standing positions in PCOS patients. This could be of obesogenic origin as we noticed a positive correlation between plasma epinephrine level and both of BMI and WHR. PCOS patients of this study exhibited central abdominal obesity and the mechanisms by which central obesity drive an increase in sympathetic activity are not entirely clear. Yet, the fat cells have increased sensitivity to lipolytic agents and/or the factors inducing fat mobilization are turned on (16). This was further supported that adipocytes isolated from the visceral fat depot of women with PCOS had increased catecholamine-stimulated lipolysis (17).”

Nice boy hips. Don’t try for kids. (Goes for all races, Spartans forced girls to be lightly athletic to be ready for childbirth as a woman, that broadens hips beyond racial average).
And when the NHS totally fails, picture the fatal correction to reality when these women expect childbirth interventions. No waist? No taste.

Old expression.

It’s genetic. They’re gonna get fat – or the kids will. We’ve all seen them. I’m just saying, the signs were there. Choosing a woman with a shit tier WHR is like electing for a manlet over the average height. It could rarely work out for health, but rarely. Don’t get angry at me.

https://www.europeanreview.org/wp/wp-content/uploads/4755-4761-Metabolic-parameters-in-PCOS-and-abdominal-obesity.pdf

“RESULTS: Women with WHR ≥0.8 had higher concentration of glucose and insulin (both fasting and after 120 min of oral administration of 75 g glucose), as well as HOMA-IR value, than women with WHR value < 0.8. Also, abdominal obesity disorders hormonal parameters. Higher free androgen index and lower concentration of sex hormone binding globulin and dehydroepiandrosterone sulfate were found in female with WHR ≥ 0.8.

There’ll still be guys like “WHR doesn’t matter, medically”.

Muh dudebros going, “at least they’re skinny”. But they’re not?

“Women with WHR ≥0.8 had… abdominal obesity disorders hormonal parameters.”

They’re literally not. Chemically. You can biopsy the tissue and test it.

the fat cells have increased sensitivity to lipolytic agents and/or the factors inducing fat mobilization are turned on”

My feels have zero to do with that, dude. It’s genes?

NOBODY is jealous. You keep your secret fatty.

I implore you to marry the future whale and learn the hard way. They’re a puffer-fish.

Whatever their race. But the shorter they are, the worse it is. Short women should have an even SMALLER waist, since it’s skeletal. My own is far smaller than most Asians, for instance, despite being taller than most of them as white. If you want to piss them off, say (honestly) that men like small waists. Just generally. Gets them every time, although most people wouldn’t say they had a large one (not really looking and they don’t dress for it). They know they’re broad and they hate women who dress to show any different, including lucky exceptions in their own race, since it’s a countersignal. Namely: I can afford to have a smaller midsection, less running and foraging is required.

[If I want to dress to piss off a group of women, bodycon but for the waist only. It’s subtle and you’d imagine as a man they would neither notice nor care. Great way to tell a woman’s natural WHR – do they like bodycon? It needn’t be tight on T&A, actually that’s better, it’s actually about waist fit. Pill women also get larger round the middle, any weight gain is there and ruins WHR so it’s visual slut shaming too. Love it.]

Follicular stimulating hormone, luteinizing hormone, androstenedione, and 17-beta-estradiol, were on similar level in both groups. Elevation in triglycerides, total cholesterol, and low-density lipoprotein levels, as well as decrease in high density lipoprotein level in serum of women with WHR value ≥0.8, were found when compared to women with WHR < 0.8. A statistically significant correlation was found between WHR value and glucose, insulin, sex hormone binding globulin, free androgen index and lipid profile parameters.”

Hips don’t lie because biochemistry.

“CONCLUSIONS: Abdominal obesity causes additional disorders in metabolic and hormonal parameters in PCOS women, which confirmed changes in analyzed parameters between PCOS women with WHR < 0.8 and WHR ≥ 0.8 and statistically significant correlations between WHR value and analyzed parameters.”

Aging fathers, ugly kids

That’s one solid explanation for why people are generally uglier nowadays, even the healthy weight.

https://www.sciencedirect.com/science/article/abs/pii/S0191886916311035

Paternal age negatively predicts offspring physical attractiveness in two, large, nationally representative datasets

Freeze your sperm at 18 for optimum freshness.

Effect of paternal age on offspring attractiveness is investigated in two datasets.

Various covariates are utilized.

Significant negative effects are found in both datasets.

Effects are independent of birth order.

Findings consistent with paternal age as a source of new mutations in offspring.

Abstract

The effect of paternal age on offspring attractiveness has recently been investigated. Negative effects are predicted as paternal age is a strong proxy for the numbers of common de novo mutations found in the genomes of offspring. As an indicator of underlying genetic quality or fitness, offspring attractiveness should decrease as paternal age increases, evidencing the fitness-reducing effects of these mutations.

That’s a hard rectal red pill.

I’m sure the manosphere will try its hardest to ignore like the dead and defective babies.

https://bible.knowing-jesus.com/topics/Sins-Of-The-Fathers

The problem is, you think you have time.

Thus far results are mixed, with one study finding the predicted effect, and a second smaller study finding the opposite. Here the effect is investigated using two large and representative datasets (Add Health and NCDS),

holy Jesus a sound method

I almost fell off my high horse

both of which contain data on physical attractiveness and paternal age.

Validity! Validity! My queendom for some statistical validity!

The effect is present in both datasets, even after controlling for maternal age at subject’s birth, age of offspring, sex, race, parental and offspring (in the case of Add Health) socio-economic characteristics, parental age at first marriage (in the case of Add Health) and birth order.

The confound control is practically orgasmic, I can’t wait to see how they mansplain this one away.

That is perfect method. But it triggers butthurts and their precious feefees are hurt by the mere implication that degenerate older dads are bad for their kid’s health. Because all those upper crust respectable 1950s dads were like “60 is the new 20 lol!” Who gives a shit if your kids need you past high school? You got more priceless clubbing times you don’t remember, that’s what really matters. Not seeing your grandkids.

Class, race, sex, age at marriage, birth order, maternal age, offspring age – there’s literally nothing else to control for. Nothing. It’s flawless.

THESE. ARE. THE. STUDIES. WE. NEED.

Logically, since women are born with most of their eggs, there wouldn’t be a maternal effect. It isn’t constantly replenishing like the male gamete. Cell division’s a bitch. Male lifestyle for all his years prior

https://www.nhs.uk/news/pregnancy-and-child/dads-smoking-before-conception-harms-kids/

affects the child at conception (and even which sperm is conceived) far more than the details of pregnancy (minus pollutants it’s pretty much the same as in ancient times, the womb is not a new environment).

Maybe add child health although those studies already exist to cross-reference with attractiveness?

As in, are the girls more womanly as adults in WHR and the boys have more manly frames (broad shoulders, narrow waist, which should be a metric of its own)? Or less gender typical? Even androgynous, or fully gender-atypical?

Do younger or older fathers produce better-looking kids in the gendered sense?

[We can tell by looking at old photos but let’s pretend.]

Give me a time machine, please. The ugly wigger types hurt my eyes.

[I have also noted mannish looking sisters tend to be the older, “ugly” sister of two -coughs Beatrice- and the girly looking brothers tend to be the younger, usually gay one. Cannot unsee.]

https://www.sciencedirect.com/science/article/pii/0162309595000682

e.g.

“In addition to their attractiveness and intimidatory effects, human secondary sexual characters also provide cues to hormonal status and phenotypic quality consistent with the good genes model of sexual selection (which includes parasite resistance). Low waist-hip ratio is sexually attractive in women and indicates a high estrogen/testosterone ratio (which favors reproductive function). Facial attractiveness provides honest cues to health and mate value. The permanently enlarged female breast appears to have evolved under the influence of both the good genes and the runaway selection mechanisms. The male beard is not obviously related to phenotypic quality and may have evolved through a process of runaway intersexual selection.”

The beard can also be a sign of poor grade genes e.g. savages, wolf man. Overall bone structure uber alles.

Maybe factor in sexual activity of the father prior to conception? Especially partner count and STDs. STDs are known to harm attractiveness in the host [coughs David Beckham, most of Hollywood] so why not the offspring’s?

Back to the top study:

The apparent robustness of the effect to different operationalizations of attractiveness suggests high generalizability, however the results must be interpreted with caution, as controls for parental levels of attractiveness were indirect only in the present study.

aka please don’t sue us but you know it’s true

But you can wait forever because the Jews said so!

Say, who owns all the biotech and IVF companies?

https://www.fertilitybridge.com/blog/2018/4/11/battleforivfmarketwallstreetvsprivatepractice

[chuckles in Israel shekels]

https://hmcisrael.com/specialty/ivf-israel/

“According to statistics, around 20% of couples wishing to conceive are faced with certain obstacles that inhibit a successful pregnancy.

Fertility Treatment is one of the most prioritized fields of medicine in Israel.”

Sure, you can wait for decades! Also, cut the kid when they’re born!

We need more future little Viagra users.

https://link.springer.com/article/10.2307/2648044

https://www.newscientist.com/article/dn7752-female-genital-mutilation-can-cause-infertility/

Does Circumcision Decrease the Fertility of Sperm in the Male?

“However, birth rates are much higher in countries where the men are predominantly uncircumcised.”

There is no question that an uncircumcised man has a cooler penis than a circumcised man in the flaccid state. For some reason, removal of the foreskin is the reason for this. There seems to be some sort of temperature sensor in the foreskin that may control penile temperature. Removing the foreskin gets rid of this sensor.

It only takes a few temperature degrees of difference to damage sperm. As the penis is in close proximity to the testicles, it’s quite likely that a cooler penis would help keep the testicles cooler (Remember that men are more potent in the colder months of the year). Under these condition, if the testicles got too cold, they can always be retracted closer to the body.

Almost like God gave men a prepuce solely for this evolutionary function in reproduction.

…Now consider this: Circumcised and uncircumcised men have the same penis temperature on full erection, as we stated earlier in this article. So, clearly, there is a specific reason why a natural-uncircumcised penis remains at a cooler temperature during the flaccid state. When the penis is erect it is no longer in close proximity with the testicles, so penile temperature should not affect the testicular temperature at this phase (be the penis circumcised or uncircumcised).

Upon orgasm, the penis tends to retract more into the pelvis (at least with my experience). Due to the friction and increased blood flow that occurred during the sexual act, it makes sense that the penis will have an increase in temperature in a flaccid state post-sex than in a flaccid state previous to the sexual act. Could this retraction be another mechanism for the “heated” penis to steer clear of the testicles?

Go there, science.

Circumcision and Male Fertility: Is There a Link?

Scientists have recently concluded that circumcision can help with infertility in males suffering from two very specific diseases.

So… not generalizable.

Some woman perv studies after all that penis talk.

https://www.sciencedirect.com/science/article/abs/pii/S1090513814000269

Women’s faces and voices may be cues to their reproductive potential. If so, then individual differences in indices of female fecundity and residual reproductive value, such as hormonal profiles, body composition, and age, should be associated with women’s facial and vocal attractiveness to men. However, previous research on these associations is sparse, has rendered mixed results, and is limited to Western samples. The current study therefore explored relationships between correlates of reproductive capability (testosterone levels, age, and body mass index [BMI]) and facial and vocal attractiveness in women from industrial and foraging societies. Women’s facial and vocal attractiveness was associated with each of these indicators in at least one of the two samples. The patterns of these associations suggest that women’s faces and voices provide cues to both common and unique components of reproductive potential and help explain the evolution of men’s mating preferences.

Lesson: Avoid the manjaw.

Women change their vocal pitch all the time though. European women are taught to make it lower at school (speak up = louder, lower pitch), Asians try to make it higher. The key is how they sound when hysterically upset. That’s their true level. Europeans go up, Asians down.

https://www.sciencedirect.com/science/article/abs/pii/S1090513812000475

Attractive facial features in women are assumed to signal fertility, but whether facial attractiveness predicts reproductive success in women is still a matter of debate. We investigated the association between facial attractiveness at young adulthood and reproductive life history—number of children and pregnancies—in women of a rural community. For the analysis of reproductive success, we divided the sample into women who used contraceptives and women who did not.

So partnered, married women. Not single ones.

Introducing two-dimensional geometric morphometric methodology, we analysed which specific characteristics in facial shape drive the assessment of attractiveness and covary with lifetime reproductive success. A set of 93 (semi)landmarks was digitized as two-dimensional coordinates in postmenopausal faces. We calculated the degree of fluctuating asymmetry and regressed facial shape on facial attractiveness at youth and reproductive success. Among women who never used hormonal contraceptives, we found attractive women to have more biological offspring than less attractive women. These findings are not affected by sociodemographic variables. Postmenopausal faces corresponding to high reproductive success show more feminine features—facial characteristics previously assumed to be honest cues to fertility. Our findings support the notion that facial attractiveness at the age of mate choice predicts reproductive success and that facial attractiveness is based on facial characteristics, which seem to remain stable until postmenopausal age.

Menopause is not the face equalizer you think.

https://www.sciencedirect.com/science/article/abs/pii/S1090513816302318

African and European perception of African female attractiveness

Dare you to do the same study with every race judging every other.

Majority of research on attractiveness is restricted to faces of European origin. The perception of attractiveness may, however, vary across communities due to variations in both facial morphology and local standards of beauty. We investigated the relative contribution of four facial markers of attractiveness based on 101 female facial portraits (standardized, non-manipulated) from Cameroon and Namibia, which were assessed by local male raters and by raters from a distant European population, the Czech Republic. Images from Cameroon include only women of Bantu origin, while Namibians are represented by women of both Bantu (Owambo/Herero) and Nama origin. While controlling for age and BMI, we explored the relationship between female attractiveness and a set of facial traits: fluctuating asymmetry, averageness, shape sexual dimorphism, and skin color (rated and measured in CIELab color space).

In the Cameroonian sample, local male raters favored lighter-skinned female faces with morphology closer to average. The attractiveness of Nama women as rated by Nama men positively correlated with lighter complexion, but this did not extend to rating by Cameroonian men. The attractiveness of Namibian Owambo/Herero women was positively associated with facial femininity and lighter complexion when judged by both Cameroonian and Nama male raters. In all samples, the attractiveness as rated by Czech men was predicted by age and BMI, but not by skin color. We found no significant association between attractiveness and fluctuating asymmetry in any of the tested samples. When controlling for age, the effect of skin color on attractiveness turned to be non-significant in the Owambo/Herrero and Nama sample, but remained significant in the Cameroonian sample. Variations in skin color thus represent an important factor of African female attractiveness within the African context, but they do not seem to affect judgements made by European raters.

They don’t want any of them.

Sensitivity to some facial markers of female attractiveness thus seems to be restricted to regional populations and/or constrained by shared ethnicity.

Paler women have more oestrogen. So duh.

Women reject old guys who’d give them dead or ugly kids:

https://www.sciencedirect.com/science/article/abs/pii/S1090513816301283

“This finding is consistent with men’s stated preference for young, fertile women in mating and suggests that the typical pattern is generated by women’s limiting role in mating.”

aka their gender role

“older men tend to marry older women, including those who are peri- and post-menopausal”

TIL Korea is so degenerate it has slave markets. Ooof.

So much for the myth that young women have the hots for them. Yeah, I’m sure the Jap schoolgirl came onto you, right perv?

Deadbeats are the end of the West:

https://www.sciencedirect.com/science/article/abs/pii/S1090513816303671

Research in evolutionary psychology, and life history theory in particular, has yielded important insights into the developmental processes that underpin variation in growth, psychological functioning, and behavioral outcomes across individuals. Yet, there are methodological concerns that limit the ability to draw causal inferences about human development and psychological functioning within a life history framework. The current study used a simulation-based modeling approach to estimate the degree of genetic confounding in tests of a well-researched life history hypothesis: that father absence (X) is associated with earlier age at menarche (Y). The results demonstrate that the genetic correlation between X and Y can confound the phenotypic association between the two variables, even if the genetic correlation is small—suggesting that failure to control for the genetic correlation between X and Y could produce a spurious phenotypic correlation. We discuss the implications of these results for research on human life history, and highlight the utility of incorporating genetically sensitive tests into future life history research.

I don’t think debtor’s prisons will come back – but if you breed it, you should feed it. I think the abandoned women that existed since Biblical times will just hire bounty hunters to shoot the first family deserter for a share of his life insurance policy.

Patriarchs everywhere would rejoice at culling the cads. The women get a widow’s pension.

Everyone wins. Hey, you said “until death do us part”. Men used to die by their oaths.

https://www.sciencedirect.com/science/article/abs/pii/S109051381400052X

I have noticed that immigrant men have a higher pitch than their non-immigrant relatives.

Maybe the act of immigration impairs masculinity?

Low male voice pitch may communicate potential benefits for offspring in the form of heritable health and/or dominance, whereas access to resources may be indicated by correlates of socioeconomic status, such as sociolinguistic features. Here, we examine if voice pitch and social dialect influence women’s perceptions of men’s socioeconomic status and attractiveness. In Study 1, women perceived lower pitched male voices as higher in socioeconomic status than higher pitched male voices.

A lot of PUAs get shot down for 1. being brown and feeling entitled to a white woman, the lowest miscegenation group also further sickened by repeated forced “refugee” interactions and 2. having a high pitch voice and effete face compared to their national relatives. Compare within the white race, the “Latin lover” in Italy versus Italian immigrants raised and living in London, who sound like cartoon chipmunks by comparison.

Yes, we notice.

No, you can’t change it. We notice.

Same applies to white men who moved South so it appears to be immigration. Either being an immigrant or the act itself makes a man less manly. Most obviously, torso body fat deposition like a woman of their group and the sisters become like the men at home, more athletic.

In Study 2, women independently perceived lower pitched voices and higher status sociolinguistic dialects as higher in socioeconomic status and attractiveness.

It isn’t the money, it’s the genes.

Good genes, good brains, good money. Fixating on the money is what ugly guys do – Muslim prince to Jewish media mogul.

We also found a significant interaction wherein women preferred lower pitched men’s voices more often when dialects were lower in sociolinguistic status than when they were higher in sociolinguistic status.

Capacity to protect. Not a desk jockey. The middle-class is effeminate. They want army. No cowards.

Women also perceived lower pitched voices as higher in socioeconomic status more often when dialects were higher in sociolinguistic status than when lower in sociolinguistic status.

Women know quality, really? Almost like our lives depend on it.

Finally, women’s own self-rated socioeconomic status was positively related to their preferences for voices with higher status sociolinguistic dialects, but not to their preferences for voice pitch.

Plenty of men chose to marry down to get a looker out of their genetic league, hypergamy.

Erotic capital is worth it, as you can tell by the fertility study above, even post-menopausal they’re better-looking.

Hence, women’s preferences for traits associated with potentially biologically heritable benefits, such as low voice pitch, are moderated by the presence of traits associated with resource accrual, such as social dialect markers. However, women’s preferences for language markers of resource accrual may be functionally independent from preferences for potential biological indicators of heritable benefits, such as voice pitch.

Women…. making…. mate choices?

mutation load is important?

 

Brain size of males by race

https://thealternativehypothesis.org/index.php/2016/04/15/brain-size-race-and-iq/

includes this

The third piece of evidence is that the racial gaps have existed for a long time. In fact, based on the data from the tables above, the White/Black brain size gap doesn’t seem to have gotten any smaller during the 20th century.

Long before your 60s immigration acts.

The first thing to note is that brain size in the general population has a heritability of 87%. Thus, almost all the differences between individuals in brain size are caused by genes.

Secondly, we should note that racial brain size differences are present at, and even before, birth.

Keep blaming women though, that’ll help.

We need more direct studies like this. Gestation length and other variables must be accounted.

Menarche and other variables like WHR vary by race in the women too. More studies! MORE!

The manosphere is based on a myth of equalism, it was destined to fail.

Fourthly, racial brain size differences have been found all around the world. For instance, the Beals and Smith data set previously referred to features skulls from over 100 populations world wide. Many of the autopsy studies previously cited were done in East Asia, as were two of the MRI studies. This makes any gene independent cultural explanation less likely.

Fifthly, several studies have shown that mulattoes have an average brain size in between that of Blacks and Whites (Pearl, 1934Bean, 1906). This finding has been established on multiple occasions and is what a hereditarian hypothesis would predict since mulattoes are half White and half Black genetically speaking.

Do studies for other mixes.

Sixth, many traits which tend to co-evolve with larger brains also differ racially in a way that mirrors the body size adjusted brain size patternRushton and Rushton (2003) looked at 37 anatomical features which 3 textbooks on human evolution identified as tending to co-evolve in the hominid line with larger brains. For instance, larger pelvic size tends to co-evolve with brain size so that mothers can give birth to larger brained infants.  Rushton then utilized 5 forensic anthropology textbooks to look at racial differences in these traits. These traits followed the East Asian>White>Black pattern in 25 out of 31 cases. The probability of this happening at random is .000000001.

WHR is important.

Follow the tag, there are racial differences in studies.

And East-Asian isn’t a race, at best it’s a sub-group, do more studies. Properly.
Asians fail more often on IVF, also posted about that.

Similarly, Rushton (2004) showed that, across 234 mammalian species, brain size correlates with longevity, gestation time, birth weight, litter size, age of first mating, body weight, and body length. Various studies have shown that each of these variables also differ between the races in a way that, based on what we find across the animal kingdom, would predict the body size corrected brain size differences we observe (Rushton, 1995Templer 2006Rushton and Templer, 2009;).

Longevity – must look at averages e.g. not Danes for all whites nor Japs for all Asians.
Gestation – we know this varies.
Weight – control confounds.
Litter size – look at natural rate of twinning.
Virginity loss is r-select, do not want.
Body weight – vague.
Length – we already know racial height. Still, add to the rest, I guess.

Thus, we have six lines of evidence all of which would be predicted by a hereditarian view on racial differences in brain size. While each line of evidence on its own may not be compelling, the combination of all six seems to strongly imply that racial brain size gaps are partly heritable.

It is worth noting that the racial brain size gaps are probably not entirely attributable to genes. Some authors, including Richard Nisbett, have plausibly argued that nutrition also plays a role. However, there explanations are not mutually exclusive, no environmental variables has been shown to account for the majority of the gap, and,  as we have seen, there are many separate lines of evidence indicating that genes also play a role

A confound, in weight.

I suggest seafood consumption.

There is good evidence that the races evolved different brain sizes in response to climate. Specifically, various studies have found that a population’s brain size correlates with climate related variables. For instance, Pearce and Dunbar (2011) ‘s data set produces a correlation of .74 between a population’s brain size and its latitude. Similarly, Ash and Gallup (2007) found a correlation of .48 between the size of 109 fossilized human skulls and the latitude at which they were found. Further still, Bailey and Geary (2009) analyzed 175 skulls ranging in age from 10,000 years old to 1.9 million years old and found a correlation of -.41 between brain size and winter temperature and -.61 between size and latitude (larger brains were found in areas more distant from the equator).

How dare you use science.

The weebs might reee!

Lynn (2015) used Smith and Beals data set of 20,000 skulls from 122 populations to estimate that roughly 30% of the African-European IQ gap can be statistically accounted for by brain size differences. By contrast, brain size differences would actually predict an Asian-European IQ gap 35% larger than the one that actually exists. Thus, brain size is probably one of many factors, both biological and environmental, which account for racial intelligence differences.

Can ya rig the test?

https://hbdchick.wordpress.com/2013/07/02/intelligence-and-corruption/

Easy, who’s the most innovative?

Especially before colonialism spreading info. Right?

You can rig IQ tests and college transcripts, not more advanced farming equipment when the other group invented it centuries prior.

Hourglass has nothing to do with fat

It’s skeletal. Even at a low body weight, an hourglass woman is still an hourglass.

QED.

She was an extreme hourglass, actually. >10inches natural Waist-Hip difference.

Marilyn Monroe was Not Even Close to a Size 12-16

Apparently around 13″ usually. Typical hourglass must be 10-11 inches to count.

Extreme hourglass is up to 13-14.

So what size was Marilyn Monroe actually?  Luckily, many of her dresses, carefully preserved, are still around to measure off of.  Further, one of her dress makers also chimed in with exact measurements he took.  Those measurements were 5 ft. 5.5 inches tall; 35 inch bust; 22 inch waist (approximately 2-3 inches less than the average American woman in the 1950s and 12 inches less than average today); and 35 inch hips, with a bra size of 36D.

35-22=13

the difference is usually continuous in Waist-Hip, regardless of fat volume based on same genetic deposition across the figure

Make-up can do that, sure.

It’s all the lighting and angles, right?

Waist-Hip Ratio and female beauty

The sexual dimorphism for this metric is obviously lowest on Asians.

https://www.ncbi.nlm.nih.gov/pubmed/8366421

Evidence is presented showing that body fat distribution as measured by waist-to-hip ratio (WHR) is correlated with youthfulness, reproductive endocrinologic status, and long-term health risk in women. Three studies show that men judge women with low WHR as attractive. Study 1 documents that minor changes in WHRs of Miss America winners and Playboy playmates have occurred over the past 30-60 years. Study 2 shows that college-age men find female figures with low WHR more attractive, healthier, and of greater reproductive value than figures with a higher WHR. In Study 3, 25- to 85-year-old men were found to prefer female figures with lower WHR and assign them higher ratings of attractiveness and reproductive potential. It is suggested that WHR represents an important bodily feature associated with physical attractiveness as well as with health and reproductive potential. A hypothesis is proposed to explain how WHR influences female attractiveness and its role in mate selection.

Hello sexual selection, tied intimately to natural selection.

PDF here: https://pdfs.semanticscholar.org/05d6/0e201efb208e8561641d13df30fc6ba3bc1a.pdf

also connected to “desire and capability for having childrenp7 or 299.

so K-type women may have better WHR.

Normal weight women have the most positive attributes associated.

Overweight category was universally unattractive.
It’d be nice to see a male study on this. I think Western women would want more children if fewer men were obese.

Why Asians are considered youthful but not sexy (they’d usually fall in the underweight group):

The variables of attractiveness, sexiness, and good health were located close to each other, suggesting that subjects perceived them to be closely related.

Attributes of desire and capability for having children were located close to each other in the solution space but farther from attractiveness, sexiness, and good health, implying that subjects did not perceive a great similarity between these two sets of attributes.

Finally, the attribute of youthfulness was located alone and away from both sets of other attributes. Thus, subjects apparently did not perceive youthfulness to be related to any other measured attributes of good health, sexiness, attractiveness, and desire and capability for having children.

So there’s that. Nobody’s jealous.

Figure N7 was located closer to attractiveness, sexiness, and good health as well as desire and capability for having children than any other Figure.

Normal weight for frame (and race) + most nubile WHR would make sense.
More of those genes survived.

Figure N9 was located closest to desire and capability for having children, whereas Figure N8 was located between Figure N7 and Figure N9. The figure N10 was grouped along with overweight figures, which were not perceived to be closely associated with any of the attributes under investigation. Underweight female figures, U7 and U8, were associated only with youthfulness. However, underweight figures with high WHR (U9 and U10) were perceived as neither youthful nor healthy, in spite of the fact that their depicted body weight was quite similar to figures with lower WHR.

Women with an atrocious WHR (boy hips, no waist) and under or overweight for their skeleton are objectively unattractive from an evolutionary standpoint. This would apply whether it’s a Jap, a Ruskie or an American.

Stop calling sexy science ‘racist’ because it doesn’t share your fetish.

This chart drags you harder than I ever could.

Your Asian girlfriend with the boy hips is approximately as attractive to the world as the average WHR white fat chick. That’s your level, accept it.

It’s also a fact we cannot accurately perceive attractiveness of the racial outgroup as well as our own, so an awareness of ingroup flaws changes nothing.

Most modern women straight up don’t look healthy, whether they’re American, European or, yes, Asian.

Stop trying to make boy hips = sexy happen. It’s not going to happen.

Look at the damn gradient on that underweight thing. The solution to fat women isn’t anorexia. That also suggests bad genes. In fact, at least the fat percentage on slightly overweight 0.7 WHR women suggests femininity and fertility.

“Overall, it seems that subjects inferred reproductive capability from body fat”

What does a foetus feed from?

“Thus, it seems that although WHR is related to health and attractiveness, body weight is perceived to be related to reproductive capability”

Obviously.

“As a group, underweight figures were assigned the lowest reproductive capability, followed by overweight figures and then normal weight figures.”

Suck on that, soyboys.

You actually tend to downgrade. That’s why the Democrat-voting soyboys all want an Asian girlfriend and expressly don’t want kids with it.

“Overall, it appears that both fatness and thinness are perceived as unattractive, and such figures are not perceived as having especially high reproductive potential. “

Not womanly. Remember that word? This:

Not girly, not sexy, not cute, not hot. Womanly.

You can’t discuss women in a reproductive, evolutionary context without it.

Thus, consistent with the present findings, men did not find thin or underweight figures attractive.

If you only care for other male opinions.

There is some evidence that suggests that being extremely underweight or overweight can have adverse effects on female reproductive functions.

Ya don’t say?

A critical body mass has been shown to be significantly related to the onset of menstrual cycle and its maintenance (Frisch & McCarthur, 1974), although recent evidence (DeRidder et al., 1990) suggests that it is the body fat distribution, rather than body fat mass or body weight, that is related to early pubertal development.

Distribution varies by race.

Africans are the most pronounced in women then Europeans shapely but delicate then Asians last – no shape, very yang flesh (broad but flat or full in the middle like cortisol fat) and almost nothing to distribute.

Am I imagining all of this?

Underweight females (15% below ideal body weight) have been reported to have a higher incidence of oligomenorrhea (menses 35 days or more apart) and amenorrhea and to have a higher prevalence of ovu-latory infertility than normal weight females (Green, Weiss, & Daling, 1986).

Underweight women also give birth to infants who are small and growth delayed, and such infants often have permanently impaired intellectual and physical development (Supy, Steer, McCusker, Steele, & Jacobs, 1988).

Menstrual dysfunction and ovulatory infertility also occur more often in females who are 20% above ideal body weight (Green et al., 1986). Morbid obesity in females with high WHR has been shown to increase the degree of androgenicity (increased percentage of free testosterone) and associated menstrual and ovulatory problems (Kirschner & Samojilik, 1991). Thus, the reproductive success of a woman may be low in spite of a high level of fat deposits if the regional distribution of fat is not appropriate, that is, gynoid.

=Womanly.

Finally, the finding that underweight figures were assigned high rankings for youthfulness but not for attractiveness (or other attributes related to reproductive potential) is difficult to reconcile with some evolutionarily based mate selection hypotheses.

Normal men aren’t pedos.

Youthfulness and health have been proprosed as absolute criteria for female attractiveness (Symons, 1987).

Stick with health.

Health has good or bad, you have no negative way to assess youth e.g. immature.

Features of physical appearance associated with youth supposedly provide the strongest and most reliable cues for female reproductive potential. The present finding illustrates that the relationship of youthfulness and attractiveness is quite complex.

Not really.

A woman who is judged to be attractive is also found to be youthful; however, youthfulness alone does not make a woman attractive. Apparently, youthfulness is a necessary, but not a sufficient condition, for determination of female physical attractiveness.

crazed pointing-

also, don’t try to chalk this up to taste:

“Furthermore, if the ideal of female attractiveness is arbitrary and ever changing, no evidence of transgenerational stability in the meaning of WHR should be found, as older men are more likely to be exposed to different ideals of attractiveness than are younger men.”

but

“Older men did not associate health with underweight figures, including those with lower WHR.”

TLDR: Pedos are wrong. Underweight, waistless wonders are not attractive.

Study 2, rubbing salt in that fact.

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0009042

Optimal Waist-to-Hip Ratios in Women Activate Neural Reward Centers in Men

Secondary sexual characteristics convey information about reproductive potential. In the same way that facial symmetry and masculinity, and shoulder-to-hip ratio convey information about reproductive/genetic quality in males, waist-to-hip-ratio (WHR) is a phenotypic cue to fertility, fecundity, neurodevelopmental resources in offspring, and overall health, and is indicative of “good genes” in women. Here, using fMRI, we found that males show activation in brain reward centers in response to naked female bodies when surgically altered to express an optimal (∼0.7) WHR with redistributed body fat, but relatively unaffected body mass index (BMI). Relative to presurgical bodies, brain activation to postsurgical bodies was observed in bilateral orbital frontal cortex. While changes in BMI only revealed activation in visual brain substrates, changes in WHR revealed activation in the anterior cingulate cortex, an area associated with reward processing and decision-making. When regressing ratings of attractiveness on brain activation, we observed activation in forebrain substrates, notably the nucleus accumbens, a forebrain nucleus highly involved in reward processes.

These findings suggest that an hourglass figure (i.e., an optimal WHR) activates brain centers that drive appetitive sociality/attention toward females that represent the highest-quality reproductive partners. This is the first description of a neural correlate implicating WHR as a putative honest biological signal of female reproductive viability and its effects on men’s neurological processing.

Quality.

Study 3

https://www.sciencedirect.com/science/article/pii/S0018506X08002298

Men report stronger attraction to femininity in women’s faces when their testosterone levels are high

Many studies have shown that women’s judgments of men’s attractiveness are affected by changes in levels of sex hormones. However, no studies have tested for associations between changes in levels of sex hormones and men’s judgments of women’s attractiveness. To investigate this issue, we compared men’s attractiveness judgments of feminized and masculinized women’s and men’s faces in test sessions where salivary testosterone was high and test sessions where salivary testosterone was relatively low.

This is why we need studies on men too.

Men reported stronger attraction to femininity in women’s faces in test sessions where salivary testosterone was high than in test sessions where salivary testosterone was low. This effect was found to be specific to judgments of opposite-sex faces. The strength of men’s reported attraction to femininity in men’s faces did not differ between high and low testosterone test sessions, suggesting that the effect of testosterone that we observed for judgments of women’s faces was not due to a general response bias. Collectively, these findings suggest that changes in testosterone levels contribute to the strength of men’s reported attraction to femininity in women’s faces and complement previous findings showing that testosterone modulates men’s interest in sexual stimuli.

Study 4

https://www.sciencedirect.com/science/article/pii/S0191886906004995

Beauty is in the eye of the plastic surgeon: Waist–hip ratio (WHR) and women’s attractiveness

Attractiveness conveys reliable information about a woman’s age, health, and fertility. Body fat distribution, as measured by waist-to-hip ratio (WHR), is a reliable cue to a woman’s age, health, and fertility, and affects judgment of women’s attractiveness. WHR is positively correlated with overall body weight or body mass index (BMI). Some researchers have argued that BMI, rather than WHR, affects judgments of female attractiveness. To evaluate the role of WHR, independent of BMI, we secured photographs of pre- and post-operative women who have undergone micro-fat grafting surgery. In this surgery, surgeons harvest fat tissue from the waist region and implant it on the buttocks. Post-operatively, all women have a lower WHR but some gain weight whereas others lose body weight. Results indicate that participants judge post-operative photographs as more attractive than pre-operative photographs, independent of post-operative changes in body weight or BMI. These results indicate that WHR is a key feature of women’s attractiveness.

Duh.

Let’s look historically. Study 5

https://academic.oup.com/ajcn/article/72/6/1436/4729453

Trends in waist-to-hip ratio and its determinants in adults in Finland from 1987 to 1997

Background: Although abdominal obesity has been shown to be an important risk factor for cardiovascular disease and a variety of other diseases, secular changes in fat distribution in populations have rarely been documented.

Objective: Our objective was to assess trends in waist-to-hip ratio (WHR) in the Finnish population during a 10-y period. In addition, we investigated the associations of WHR with body mass index (BMI), age, education, and lifestyle factors.

Design: Three independent cross-sectional surveys were carried out at 5-y intervals between 1987 and 1997. Altogether, 15096 randomly selected men and women aged 25–64 y participated in these surveys.

Results: The WHR increased in both men and women during the 10-y period (P< 0.0001). In men, the strongest upward trend took place in the first 5-y period and then seemed to plateau; in women, the WHR continued to increase into the 1990s. In both sexes, the most prominent increase was observed in subjects aged ≥45 y. The WHR increased in all education-level groups, the lowest WHR being among those with the highest education. Age (18% in men, 12% in women) and BMI (33% in men, 25% in women) accounted for most of the variation in WHR, whereas only 3% was explained by education and lifestyle factors.

Conclusions: Abdominal obesity is a growing problem in Finland, especially in persons aged ≥45 y. These adverse changes in body shape continued to take place, particularly in women, in the 1990s.

Something in the food?

More history, prehistoric. Study 6

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0123284

Preferred Women’s Waist-to-Hip Ratio Variation over the Last 2,500 Years

The ratio between the body circumference at the waist and the hips (or WHR) is a secondary sexual trait that is unique to humans and is well known to influence men’s mate preferences. Because a woman’s WHR also provides information about her age, health and fertility, men’s preference concerning this physical feature may possibly be a cognitive adaptation selected in the human lineage. However, it is unclear whether the preferred WHR in western countries reflects a universal ideal, as geographic variation in non-western areas has been found, and discordances about its temporal consistency remain in the literature. We analyzed the WHR of women considered as ideally beautiful who were depicted in western artworks from 500 BCE to the present. These vestiges of the past feminine ideal were then compared to more recent symbols of beauty: Playboy models and winners of several Miss pageants from 1920 to 2014. We found that the ideal WHR has changed over time in western societies: it was constant during almost a millennium in antiquity (from 500 BCE to 400 CE) and has decreased from the 15th century to the present. Then, based on Playboy models and Miss pageants winners, this decrease appears to slow down or even reverse during the second half of the 20th century. The universality of an ideal WHR is thus challenged, and historical changes in western societies could have caused these variations in men’s preferences. The potential adaptive explanations for these results are discussed.

Should’ve controlled for race.

Why not look at male WHR? Plus sperm health? Found:

https://www.drelist.com/blog/bmi-waist-circumference-semen-quality/

  • The volume of ejaculate decreases in a linear fashion with increasing BMI (suggesting an inverse relationship).
  • The sperm quality and viability declines with increasing waist circumference.
  • Investigators also discovered that quality of semen decreases (such as sperm viability, motility, semen volume) with increasing body size; however, no relationship was observed between sperm DNA fragmentation index and physical activity or obesity.

Latter requires time.

Various research and clinical studies suggests that subfertility in men is multifactorial i.e. several factors can impact the quality of reproductive health.

  • Abnormal sperm production: Study conducted by Jensen and associates (2) suggested that abnormal BMI is very strongly linked to impaired sperm production. One of the many reasons is, abnormal metabolism of testosterone (which plays a key role in the production of healthy and viable sperms).
  • Abdominal obesity and risk of metabolic disorders: According to a new study reported in the Human Reproduction (3), investigators provided statistical evidence that abnormal BMI and abdominal obesity is very strongly linked to a number of health issues (such as cardiovascular dysfunction, atherosclerosis, type 2 diabetes, hypertension and others). Needless to say that these health issues have a deleterious effect on the sexual health regardless of the body-mass index (or BMI).
  • Obesity, physical activity and testosterone: Testosterone levels tends to decline in males who have a sedentary lifestyle. Various research and clinical studies indicates that aerobic activity or exercise can improve testosterone metabolism in males significantly.

1. Eisenberg, M. L., Kim, S., Chen, Z., Sundaram, R., Schisterman, E. F., & Louis, G. M. B. (2014). The relationship between male BMI and waist circumference on semen quality: data from the LIFE study. Human Reproduction, 29(2), 193-200.

2. Jensen, T. K., Andersson, A. M., Jørgensen, N., Andersen, A. G., Carlsen, E., & Skakkebæk, N. E. (2004). Body mass index in relation to semen quality and reproductive hormones among 1,558 Danish men. Fertility and sterility, 82(4), 863-870.

3. Hammiche, F., Laven, J. S., Twigt, J. M., Boellaard, W. P., Steegers, E. A., & Steegers-Theunissen, R. P. (2012). Body mass index and central adiposity are associated with sperm quality in men of subfertile couples. Human reproduction, 27(8), 2365-2372.

Yet they don’t tell men this information.

Back to women

https://www.ncbi.nlm.nih.gov/pubmed/24789138

Cross-cultural variation in men’s preference for sexual dimorphism in women’s faces.

Both attractiveness judgements and mate preferences vary considerably cross-culturally.

Racially.

We investigated whether men’s preference for femininity in women’s faces varies between 28 countries with diverse health conditions by analysing responses of 1972 heterosexual participants. Although men in all countries preferred feminized over masculinized female faces, we found substantial differences between countries in the magnitude of men’s preferences. Using an average femininity preference for each country, we found men’s facial femininity preferences correlated positively with the health of the nation, which explained 50.4% of the variation among countries. The weakest preferences for femininity were found in Nepal and strongest in Japan. As high femininity in women is associated with lower success in competition for resources and lower dominance, it is possible that in harsher environments, men prefer cues to resource holding potential over high fecundity.

Asia is weird for dimorphism studies.

Hence the focus on health.

While the economy is bad, it isn’t surprising men prefer manly looking women.

It’s temporary. There’ll be a flood of divorces as the economy improves. Men will suddenly see how mannish the wife has been and be repulsed. Menopause also makes women look more mannish, including higher WHR. So much for a youth argument there.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5177465/pdf/nihms827194.pdf

Factors Underlying the Temporal Increase in Maternal Mortality in the United States

They don’t say more non-white mothers or more mixed race babies, so it’s wrong. They guess.