"We show that the 3D geometry of cortical surface is highly predictive of individuals’ genetic ancestry in West Africa, Europe, East Asia & America, even though their genetic background has been shaped by multiple waves of migratory & admixture events."
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4786069/
"In this work we predicted genetic ancestry from rs-fMRI connectivity data at very high performance (area under the ROC curve of 0.93). Thereby, we demonstrated that genetic ancestry is encoded in the functional connectivity pattern of the brain at rest"
https://www.biorxiv.org/content/10.1101/440776v1
Regional selection of the brain size regulating gene CASC5 provides new insight into human brain evolution
"We proved that this between-population allelic divergence was caused by regional Darwinian positive selection in East Asians."
https://link.springer.com/article/10.1007/s00439-016-1748-5
Educational attainment polygenic scores are associated with cortical total surface area and regions important for language and memory
https://www.sciencedirect.com/science/article/pii/S1053811920301786
Cortical thickness & the connectivity contrast between brain regions — more specially between the low-order regions in charge of simple sensory and perception functions and the high-order areas responsible for high-level cognitive tasks
https://neurosciencenews.com/behavior-brain-thickness-connectivity-16703/amp/
Differences in cortical structure between cognitively normal East Asian and Caucasian older adults: a surface-based morphometry study
https://www.nature.com/articles/s41598-020-77848-8
"Our results provide evidence that cumulative genetic load influences g-factor via cortical structure."
https://academic.oup.com/cercor/article-abstract/30/4/2708/5673285
Credit goes to @CatfishFishy for finding these studies, follow him on twitter:
https://mobile.twitter.com/CatfishFishy
#race
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4786069/
"In this work we predicted genetic ancestry from rs-fMRI connectivity data at very high performance (area under the ROC curve of 0.93). Thereby, we demonstrated that genetic ancestry is encoded in the functional connectivity pattern of the brain at rest"
https://www.biorxiv.org/content/10.1101/440776v1
Regional selection of the brain size regulating gene CASC5 provides new insight into human brain evolution
"We proved that this between-population allelic divergence was caused by regional Darwinian positive selection in East Asians."
https://link.springer.com/article/10.1007/s00439-016-1748-5
Educational attainment polygenic scores are associated with cortical total surface area and regions important for language and memory
https://www.sciencedirect.com/science/article/pii/S1053811920301786
Cortical thickness & the connectivity contrast between brain regions — more specially between the low-order regions in charge of simple sensory and perception functions and the high-order areas responsible for high-level cognitive tasks
https://neurosciencenews.com/behavior-brain-thickness-connectivity-16703/amp/
Differences in cortical structure between cognitively normal East Asian and Caucasian older adults: a surface-based morphometry study
https://www.nature.com/articles/s41598-020-77848-8
"Our results provide evidence that cumulative genetic load influences g-factor via cortical structure."
https://academic.oup.com/cercor/article-abstract/30/4/2708/5673285
Credit goes to @CatfishFishy for finding these studies, follow him on twitter:
https://mobile.twitter.com/CatfishFishy
#race
PubMed Central (PMC)
Modeling the 3D Geometry of the Cortical Surface With Genetic Ancestry
PMC Disclaimer
Significant neuroanatomical variation among domestic dog breeds
https://pubmed.ncbi.nlm.nih.gov/31477568/
https://pubmed.ncbi.nlm.nih.gov/31477568/
"The European Union faced an unprecedented influx of asylum seekers during the 2014–2016 refugee and migration crisis. The admitted refugees pose a critical challenge, but at the same time represent an opportunity for the host countries’ public finances. If the fiscal balance of immigration is positive, then migrants become net contributors to public budgets, helping to alleviate the aging related fiscal burden. However, we argue that this is highly unlikely to happen with refugees entering extensive European welfare states, at least in the short and medium term. By reviewing the existing empirical literature, we demonstrate that the research on the fiscal effects of refugee (or non‐Western) immigration almost uniformly supports the conclusion that the fiscal balance is going to be negative. The noble aims of humanitarian obligation to accept refugees seem to be in conflict with the pragmatic economic interest – a fiscally beneficial immigration – this time."
Fiscal Consequences of the Refugee Crisis https://onlinelibrary.wiley.com/doi/10.1111/imig.12520
#immigration #europe
Fiscal Consequences of the Refugee Crisis https://onlinelibrary.wiley.com/doi/10.1111/imig.12520
#immigration #europe
Wiley Online Library
Fiscal Consequences of the Refugee Crisis
The European Union faced an unprecedented influx of asylum seekers during the 2014–2016 refugee and migration crisis. The admitted refugees pose a critical challenge, but at the same time represent a...
Survey: American businesses should (not) publicly support LGBTQ rights organizations, by various demographic groups
Source: https://archive.is/Hfm2C
#audaciousepigone #LGBT
Source: https://archive.is/Hfm2C
#audaciousepigone #LGBT
Within Britain, allegations of electoral fraud tend to be more common in areas with large Pakistani and Bangladeshi communities. Within Euroupe more generally, immigrants from countries with high rates of cousin marriage are less likely to say it is wrong for a public official to request a bribe. https://www.sciencedirect.com/science/article/pii/S0261379417300811
#immigration #britain
#immigration #britain
Untitled45_20210426001115.png
34.8 KB
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
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
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
Gab Social
Wehrkatzer11 (@wehrkatzer) • gab.com
The latest Gabs from Wehrkatzer11 (@wehrkatzer).
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
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
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
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
https://archive.is/A5CsE
#race
archive.is
The Rational View on Race?
archived 13 Jun 2015 21:30:01 UTC
Meta-compilation of HBD related materials
https://emilkirkegaard.dk/en/2021/04/meta-compilation-of-hbd-related-materials/
-----------------------------------------------------------
Tags: #HBD #race
https://emilkirkegaard.dk/en/2021/04/meta-compilation-of-hbd-related-materials/
-----------------------------------------------------------
Tags: #HBD #race
Clear Language, Clear Mind
Meta-compilation of HBD related materials
Sometimes I get asked for compilations. There are some! I made this compilation of compilations in November 2020 in reply to an email. I guess I never posted it for some reason. Well, I got another email asking for this kind of thing, so this time I am definitely…
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
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
Institute for Family Studies
Baby Bust: Fertility is Declining the Most Among Minority Women
The United States just hit a forty-year low in its fertility rate, according to numbers just released by the Centers for Disease Control and Prevention. The 2017 provisional estimate of fertility for the entire U.S. indicates about 3.84 million births in…
Forwarded from Based Paleocon
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
https://www.tandfonline.com/doi/full/10.1080/13504851.2019.1646866?scroll=top&needAccess=true
Taylor & Francis
The relationship between concealed carry permits and state-level crime rates
The purpose of the present study is to determine the relationship between concealed carry permits and state-level crime rates. Using pooled data for the period 2003–2014 and a least squares model w...
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
(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
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
Vox
Charles Murray is once again peddling junk science about race and IQ
Podcaster and author Sam Harris is the latest to fall for it.
Support for open relationships
Source:https://www.unz.com/anepigone/support-for-open-relationships/
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#audaciousepigone #relationships
Source:https://www.unz.com/anepigone/support-for-open-relationships/
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#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/
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#stereotypethreat
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/
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#stereotypethreat