Peaceful parenting is slowly but steadily gaining acceptance:
Source: https://www.unz.com/anepigone/the-politics-of-peaceful-parenting/
#audaciousepigone
Source: https://www.unz.com/anepigone/the-politics-of-peaceful-parenting/
#audaciousepigone
Immigration and the Wages of Native Workers: Spatial versus Occupational Approaches
"Using data from the Current Population Survey, we study the impact of the increasing proportion of immigrants on the wages of native workers. Two different approaches are contrasted. The most common method has been the spatial approach that uses some geographic unit of analysis to investigate the multivariate association between the proportion of immigrants and the wages of native workers. Previous studies using the spatial approach have generally found little evidence of a significant negative effect. We propose, however, a contrasting method that represents an occupational approach in which occupations are the unit of analysis to investigate the impact of the proportion immigrant. This occupational approach avoids the bias that is inherent in the spatial approach due to the endogenous nature of immigrants' decisions about where to reside and the economic opportunities of local areas. In contrast to the spatial approach, our results using the same data but employing the occupational approach yield consistently negative net effects of the proportion immigrant on the wages of native workers during the period from 1994 to 2006."
Source: https://www.tandfonline.com/doi/abs/10.1080/00380237.2013.766834
#immigration
"Using data from the Current Population Survey, we study the impact of the increasing proportion of immigrants on the wages of native workers. Two different approaches are contrasted. The most common method has been the spatial approach that uses some geographic unit of analysis to investigate the multivariate association between the proportion of immigrants and the wages of native workers. Previous studies using the spatial approach have generally found little evidence of a significant negative effect. We propose, however, a contrasting method that represents an occupational approach in which occupations are the unit of analysis to investigate the impact of the proportion immigrant. This occupational approach avoids the bias that is inherent in the spatial approach due to the endogenous nature of immigrants' decisions about where to reside and the economic opportunities of local areas. In contrast to the spatial approach, our results using the same data but employing the occupational approach yield consistently negative net effects of the proportion immigrant on the wages of native workers during the period from 1994 to 2006."
Source: https://www.tandfonline.com/doi/abs/10.1080/00380237.2013.766834
#immigration
Taylor & Francis
Immigration and the Wages of Native Workers: Spatial versus Occupational Approaches
Using data from the Current Population Survey, we study the impact of the increasing proportion of immigrants on the wages of native workers. Two different approaches are contrasted. The most commo...
Food stamp race.png
28.1 KB
Almost 1/3 of blacks said that they had received food stamps
Source: https://www.pewresearch.org/fact-tank/2013/07/12/the-politics-and-demographics-of-food-stamp-recipients/
#race
Source: https://www.pewresearch.org/fact-tank/2013/07/12/the-politics-and-demographics-of-food-stamp-recipients/
#race
Net support for (opposition to businesses getting involved in politics as more than 100 companies recently did in Georgia
Source: https://archive.is/yK3qP
#audaciousepigone
Source: https://archive.is/yK3qP
#audaciousepigone
Democrats republicans proud americans.png
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Who are extremely proud to be americans, by various groups
Source: https://news.gallup.com/poll/236420/record-low-extremely-proud-americans.aspx
#race
Source: https://news.gallup.com/poll/236420/record-low-extremely-proud-americans.aspx
#race
"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
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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