Science knowledge by education, sex, age and race
Source: https://www.pewresearch.org/science/2015/09/10/what-the-public-knows-and-does-not-know-about-science/

#race #sexdifferences

Post by Wehrkatzer, you can find him on gab https://gab.com/wehrkatzer

12% of total genetic variation within humanity is between races:
https://sci-hub.se/https://doi.org/10.1371/journal.pone.0049837
https://sci-hub.se/https://doi.org/10.1073/pnas.94.9.4516
https://sci-hub.se/https://doi.org/10.3378/027.081.0621
https://sci-hub.se/https://doi.org/10.1086/302825
Only 12%? Thats not a lot right?! First of all, consider what 12% actually means. 12% means the average PER snp. 0% on one loci, in a 2 race category scheme, would mean 50/50 chance of being correct in predicting sombody's race. 12% would mean 62% chance of being correct. Only 62%? That's only small if you're ignorant of binomial probability. Use more than one loci, and the likelihood of success goes up. Plugging into a binomial probability calculator, with 2 loci, the chance of being more related to your own race is 38.44%, the chance of being equally related to both is 47.12%, and the chance of being less related to your own race is 14.44%. Using 4 loci, the probability of being more related to your own race is 51% instead of 38%. Using 10 loci, 68%, 100 loci = over 99.9%.
This is exactly what the cluster analyses show. Cluster analyses take a bunch of people and their genetic data, and split people into groups such that within group differences are minimized
and between group differences are maximized. Geography of origin, and the racial categories, correspond to best fit genetic cluster 99+% of the time:
https://sci-hub.se/https://doi.org/10.1086/368061
https://sci-hub.se/https://doi.org/10.1007/s13524-013-0242-0
https://sci-hub.se/https://doi.org/10.1186/1471-2164-8-68
https://sci-hub.se/https://doi.org/10.1002/humu.21366
https://sci-hub.se/https://doi.org/10.1371/journal.pgen.0010070
https://sci-hub.se/https://doi.org/10.1086/427888
https://sci-hub.se/https://doi.org/10.1534/genetics.106.067355
https://sci-hub.se/https://doi.org/10.3389/fgene.2013.00098
https://sci-hub.se/https://doi.org/10.1126/science.1078311

#race

Is 12% especially low for between group differences? The average difference between subspecies of various animals I've been able to find is even lower:
Jaguars, 6.5%:
https://sci-hub.se/https://doi.org/10.1046/j.1365-294X.2001.01144.x
Canadian Lynx, 3.3%:
https://sci-hub.se/https://doi.org/10.1038/415520a 
Asian dogs, 15.35%:
https://sci-hub.tw/https://doi.org/10.1093/jhered/92.5.398
African Buffalo, 5.9%:
https://sci-hub.se/https://doi.org/10.1046/j.1365-294x.2000.01101.x
North American Coyote, 10.7%:
https://sci-hub.se/https://doi.org/10.1093/oxfordjournals.molbev.a040137
North American Wolverines, 7.6%:
https://sci-hub.se/https://doi.org/10.1644/1545-1542(2000)081%3C0186:GVOWGG%3E2.0.CO;2
Gray Wolves, 16.7%:
https://sci-hub.se/https://doi.org/10.1093/oxfordjournals.molbev.a040137
Humpback Whales, 12%:
https://sci-hub.se/https://doi.org/10.1098/rspb.2013.3222
Plains Zebras, 11%:
https://sci-hub.se/https://doi.org/10.1111/j.1365-294X.2008.03781.x
Kob Antelope, 11%:
https://sci-hub.se/https://doi.org/10.1111/j.1365-294X.2007.03382.x
South West European Cow, 6.8%:
https://sci-hub.se/https://doi.org/10.1046/j.1439-0388.2003.00384.x
Red Winged Black Bird, 0.9%:
https://sci-hub.se/https://doi.org/10.1023/B:BIGI.0000012142.96374.b6

Heterozygosity By Species:
Humans - .776, .70-.76, .698. 
https://sci-hub.se/https://doi.org/10.1093/oxfordjournals.molbev.a025810
https://sci-hub.se/https://doi.org/10.1073/pnas.94.7.3100
https://sci-hub.se/https://doi.org/10.1038/368455a0
Chimpanzees - .63, .765
https://doi.org/10.1093/oxfordjournals.molbev.a025810?subid1=20210105-0639-4770-bbd8-fc5887c2bd86
https://sci-hub.se/https://doi.org/10.1046/j.1365-294x.2000.00852.x
South African Buffalo - .729
https://sci-hub.se/https://doi.org/10.1111/j.1469-1795.1998.tb00015.x
Leopards - .58
https://sci-hub.se/https://doi.org/10.1046/j.0962-1083.2001.01350.x
Jaguars -.739
https://sci-hub.se/https://doi.org/10.1046/j.1365-294X.2001.01144.x
Pumas - .52
https://doi.org/10.1093/jhered/91.3.186?subid1=20210105-0642-22c0-a9eb-aa28e7cfc95d
Canadian Lynx - .66
https://sci-hub.se/https://doi.org/10.1038/415520a
North American Brown Bears - .5275
https://sci-hub.se/https://doi.org/10.1111/j.1523-1739.1998.96457.x
Scandinavian Brown Bears - .678
https://doi.org/10.1046/j.1365-294X.2001.01184.x
Coyotes - .629
https://doi.org/10.1046/j.1523-1739.1996.10020376.x
Gray Wolves - .574
https://doi.org/10.1046/j.1523-1739.1996.10020376.x
Domestic Dogs - .5085
https://sci-hub.se/https://doi.org/10.1046/j.1523-1739.1996.10020376.x
African Wild Dogs - .643
https://doi.org/10.1046/j.0962-1083.2001.01302.x
North American Wolverines - .55
https://sci-hub.se/https://doi.org/10.1046/j.1365-294X.2001.01222.x
Scandinavian Wolverines - .325
https://doi.org/10.1046/j.1365-294X.2001.01184.x
Elk - .395
https://sci-hub.se/https://doi.org/10.1046/j.1365-294x.2000.01033.x
Bighorn Sheep - .6235
https://pubmed.ncbi.nlm.nih.gov/8524043/
Bonobos - .535
https://sci-hub.se/https://doi.org/10.1046/j.1365-294x.2000.00852.x
Polar Bears - .68
https://sci-hub.se/https://doi.org/10.1046/j.1365-294x.1999.00733.x
Australian Dingoes - .445
https://sci-hub.se/https://doi.org/10.1093/jhered/90.1.108

Table:
https://docs.google.com/document/d/1MgFL36_8XlvU8lUwDbb0JJhsr21MZ-UAnwh4OqDB2j8/edit?usp=sharing

Time of divergence for european moose-american moose: 165,000 years ago
https://sci-hub.se/https://doi.org/10.1073/pnas.92.10.4259
polar bears - brown bears: 152,000 years ago, but the adaptation only took 10,000-30,000 years. Look at a map of north america, there are rocky and appalachian mountains, but isn't even anything to separate north from south, yet climate is apparently all thats needed.
https://sci-hub.se/https://doi.org/10.1073/pnas.0914266107
birds (3 pairs of subspecies) 95,000 years ago, 70,000 years ago, & 65,000 years ago.
https://sci-hub.se/https://doi.org/10.1525/cond.2011.110042
8 subspecies of tigers: 72,000 years ago:
https://sci-hub.se/https://doi.org/10.1371/journal.pbio.0020442
Eastern and western wood ducks: 34,000
https://sci-hub.se/https://doi.org/10.1111/j.1365-294X.2005.02618.x
2 lizard subspecies: 12,000
https://pdfs.semanticscholar.org/4b09/5907c4eef7c941d1345a14d2516109d8f7f1.pdf

Sean last made a response to Rationalwiki.org racialism article (its 6 year old response so is probably outdated though)
https://archive.is/A5CsE

#race

Survey: is being a police officer a respectable career, by partisan affiliation

#audaciousepigone

Meta-compilation of HBD related materials
https://emilkirkegaard.dk/en/2021/04/meta-compilation-of-hbd-related-materials/

-----------------------------------------------------------
Tags: #HBD #race

Its time for some whitepills

Fertility rate plummets among nonwhites; far surpassing white fertility decline
https://ifstudies.org/blog/baby-bust-fertility-is-declining-the-most-among-minority-women

US Midwest white fertility rate higher than any white nation
https://www.thebalance.com/birth-rate-by-state-4684536

White births still outnumber nonwhite birth rates - in fact, there’s been no significant decline in percentage of white births since 2008 at 54%.
https://ifstudies.org/blog/5-8-million-fewer-babies-americas-lost-decade-in-fertility

Although liberals have fear-mongered on the effects of concealed carry on violent crime, Gius (2020) finds that concealed carry actually has a negative relationship with violent crime (I.e. more concealed carry means less crime).

https://www.tandfonline.com/doi/full/10.1080/13504851.2019.1646866?scroll=top&needAccess=true

Conservative men view themselves as significantly more masculine than do liberal men.

(Graph by Zach Goldberg.)
Follow him on Twitter https://mobile.twitter.com/ZachG932

----------------------------------------------------------
tags: #conservatism #liberalism #masculinity #femininity

Responses to Vox articles that talk about race and IQ

Charles Murray is once again peddling junk science about race and IQ https://www.vox.com/the-big-idea/2017/5/18/15655638/charles-murray-race-iq-sam-harris-science-free-speech
https://archive.fo/bIxtc

There’s still no good reason to believe black-white IQ differences are due to genes https://www.vox.com/the-big-idea/2017/6/15/15797120/race-black-white-iq-response-critics
https://archive.fo/4E46H

responses:
https://archive.fo/RihJ4

https://archive.fo/AsYAw

https://archive.fo/l9MIB

------------------------------------------------------------
Tags: #race #intelligence

Support for open relationships
Source:https://www.unz.com/anepigone/support-for-open-relationships/

------------------------------------------------------------
#audaciousepigone #relationships

The 67,5 million wasted on stereotype threat research

Context:
The stereotype threat is phenomenon where a person who belongs to a stereotyped demographic group performs in accordance with the stereotype after being reminded of it.

https://russellwarne.com/2020/08/10/the-67-5-million-wasted-on-stereotype-threat-research/

------------------------------------------------------------
#stereotypethreat

Muslims now 6.5% of German population

° The Muslim population in Germany has risen to around 5.5 million and now represents some 6.5% of the total national population, according to an official government survey published Wednesday.

° The Federal Office for Migration and Refugees (BAMF) put the total at between 5.3 million and 5.6 million, up around 900,000 since the last survey in

Source

A recent massive analysis involving 193,518 twins and 16 countries finds "genetic factors explained the major part of individual differences in educational attainment," and this "did not differ between Europe, North America... and East Asia."
https://www.nature.com/articles/s41598-020-69526-6

------------------------------------------------------------
#education #genetics

Percentages who have had someone express support for them because of their race or ethnicity over the last year
Source: https://www.unz.com/anepigone/bang-up-job-being-black-buddy/

------------------------------------------------------
#audaciousepigone #race

Is Britain an Immigrant Nation? By Noah Carl

"Britain had arguably assumed its nationhood by at least the late 19th century. At this point in time, the make up of the British population was largely as it had been more than 1000 years earlier. There is therefore little justification for saying that Britain is an ‘immigrant nation’."

https://noahcarl.medium.com/is-britain-an-immigrant-nation-e84f965528d2

------------------------------------------------------------
#britain #immigration #genetics #history

Support for open relationships by sexual orientation
Source: https://web.archive.org/web/20210502072113/https://docs.cdn.yougov.com/i706j1bc01/open-relationships-generation-sexuality-poll.pdf

------------------------------------------------------
#LGBT #openrelationships

In case if someone claims blacks commit crimes because systemic racism incarcerated their fathers

Every year, millions of Americans experience the incarceration of a family member. Using 30 years of administrative data from Ohio and exploiting differing incarceration propensities of randomly assigned judges, this paper provides the first quasi-experimental estimates of the effects of parental and sibling incarceration in the US. Parental incarceration has beneficial effects on some important outcomes for children, reducing their likelihood of incarceration by 4.9 percentage points and improving their adult neighborhood quality. While estimates on academic performance and teen parenthood are imprecise, we reject large positive or negative effects. Sibling incarceration leads to similar reductions in criminal activity.

The Effects of Parental and Sibling Incarceration: Evidence from Ohio
https://www.aeaweb.org/articles?id=10.1257/aer.20190415&from=f

------------------------------------------------------------
#crime

Pew has found that test scores in adolescence explain virtually the entire black-white income mobility gap.

https://infoproc.blogspot.com/2014/01/us-economic-mobility-data.html?m=1