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		<title>By the numbers: Interracial Mating in America</title>
		<link>http://pqvarus.wordpress.com/2010/03/31/interracial-mating/</link>
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		<pubDate>Wed, 31 Mar 2010 13:15:02 +0000</pubDate>
		<dc:creator>levi johnston</dc:creator>
				<category><![CDATA[Cultural Differences]]></category>
		<category><![CDATA[black men white women]]></category>
		<category><![CDATA[Interracial breeding]]></category>
		<category><![CDATA[Interracial Mating]]></category>
		<category><![CDATA[Interracial offspring]]></category>

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		<description><![CDATA[The real “black breeding”

Random googlers may be disappointed to find that Black men don’t appear to be sexually outcompeting peckerwoods with white women or other minorities - even Puerto Ricans. I was also surprised to find that white women and other minorities appeared to prefer Hispanic men over blacks (Though I would guess in the case of illegitimate offspring, perhaps identifying the father as white/Hispanic is more acceptable for some?)<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=pqvarus.wordpress.com&amp;blog=12309930&amp;post=134&amp;subd=pqvarus&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>With the search terms like “black breeding white women” directing hits to my post<a href="http://pqvarus.wordpress.com/2010/03/12/interracial-breeding/"> Interracial Breeding: White Women</a> every day, I can only assume people are legitimately curious about this subject beyond the pornographic aspect. My other post <a href="http://pqvarus.wordpress.com/2010/03/13/interracial-breeding-indian-chicks/">Interracial breeding: Indian chicks</a> was popular with <a href="http://www.inmalafide.com/">In Mala Fide</a> readers.</p>
<p>I decided to go ahead and post the data on all groups interracial breeding habits.</p>
<p>These numbers are from the CDC’s <a href="http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/24941">2006 Natality Detail File</a>, which is probably more reliable than the US Census, as it purports to collected data from birth certificates on every single birth which occurred in the United States in that year.  I suspect in cases of disputed paternity or most teenage pregnancies, information on the father is not available and his race is reported as ‘unknown’.  The race of the mother is in bold.</p>
<table border="0" cellspacing="0" cellpadding="0" width="643">
<tbody>
<tr>
<td rowspan="7" width="55" valign="bottom">Race/Ethnicity of Mother</td>
<td width="107" valign="bottom"></td>
<td colspan="5" width="481" valign="bottom">Race of father (%)</td>
</tr>
<tr>
<td width="107" valign="bottom"></td>
<td width="66" valign="bottom">Hispanic</td>
<td width="45" valign="bottom">white</td>
<td width="41" valign="bottom">black</td>
<td width="150" valign="bottom">Non-Hispanic Other</td>
<td width="179" valign="bottom">Unknown or Not Stated</td>
</tr>
<tr>
<td width="107" valign="bottom"><strong>white</strong></td>
<td width="66" valign="bottom">4.7</td>
<td width="45" valign="bottom">81.3</td>
<td width="41" valign="bottom">2.6</td>
<td width="150" valign="bottom">1.7</td>
<td width="179" valign="bottom">9.7</td>
</tr>
<tr>
<td width="107" valign="bottom"><strong>Mexican</strong></td>
<td width="66" valign="bottom">78.5</td>
<td width="45" valign="bottom">6.4</td>
<td width="41" valign="bottom">1.4</td>
<td width="150" valign="bottom">0.8</td>
<td width="179" valign="bottom">12.9</td>
</tr>
<tr>
<td width="107" valign="bottom"><strong>black</strong></td>
<td width="66" valign="bottom">1.8</td>
<td width="45" valign="bottom">2.7</td>
<td width="41" valign="bottom">58.1</td>
<td width="150" valign="bottom">0.8</td>
<td width="179" valign="bottom">36.6</td>
</tr>
<tr>
<td width="107" valign="bottom"><strong>Cuban</strong></td>
<td width="66" valign="bottom">69.8</td>
<td width="45" valign="bottom">18.6</td>
<td width="41" valign="bottom">3</td>
<td width="150" valign="bottom">0.9</td>
<td width="179" valign="bottom">9.6</td>
</tr>
<tr>
<td width="107" valign="bottom"><strong>Puerto Rican</strong></td>
<td width="66" valign="bottom">54</td>
<td width="45" valign="bottom">14.6</td>
<td width="41" valign="bottom">11.7</td>
<td width="150" valign="bottom">2.1</td>
<td width="179" valign="bottom">17.7</td>
</tr>
</tbody>
</table>
<p>While every state asks about the Hispanic ancestry of the mother and father, it seems that only half of all mothers that year lived in states which record data on specific Asian ancestry &#8211; who are nationally grouped into the “other” category with Native Americans.</p>
<table border="0" cellspacing="0" cellpadding="0" width="643">
<tbody>
<tr>
<td rowspan="7" width="55" valign="bottom">Race/Ethnicity of Mother</td>
<td width="107" valign="bottom"></td>
<td colspan="5" width="481" valign="bottom">Race of father (%)</td>
</tr>
<tr>
<td width="107" valign="bottom"></td>
<td width="66" valign="bottom">Hispanic</td>
<td width="45" valign="bottom">white</td>
<td width="41" valign="bottom">black</td>
<td width="150" valign="bottom">Non-Hispanic Other</td>
<td width="179" valign="bottom">Unknown or Not Stated</td>
</tr>
<tr>
<td width="107" valign="bottom"><strong>Chinese</strong></td>
<td width="66" valign="bottom">2.2</td>
<td width="45" valign="bottom">12.1</td>
<td width="41" valign="bottom">0.7</td>
<td width="150" valign="bottom">79.5</td>
<td width="179" valign="bottom">5.5</td>
</tr>
<tr>
<td width="107" valign="bottom"><strong>Vietnamese</strong></td>
<td width="66" valign="bottom">2.7</td>
<td width="45" valign="bottom">13.1</td>
<td width="41" valign="bottom">0.8</td>
<td width="150" valign="bottom">74.6</td>
<td width="179" valign="bottom">8.8</td>
</tr>
<tr>
<td width="107" valign="bottom"><strong>Filipino</strong></td>
<td width="66" valign="bottom">9</td>
<td width="45" valign="bottom">27.2</td>
<td width="41" valign="bottom">4.5</td>
<td width="150" valign="bottom">52.8</td>
<td width="179" valign="bottom">6.5</td>
</tr>
<tr>
<td width="107" valign="bottom"><strong>Japanese</strong></td>
<td width="66" valign="bottom">7.5</td>
<td width="45" valign="bottom">35.8</td>
<td width="41" valign="bottom">4.6</td>
<td width="150" valign="bottom">49</td>
<td width="179" valign="bottom">3.1</td>
</tr>
<tr>
<td width="107" valign="bottom"><strong>Indian</strong></td>
<td width="66" valign="bottom">1.7</td>
<td width="45" valign="bottom">4.7</td>
<td width="41" valign="bottom">1.1</td>
<td width="150" valign="bottom">89.3</td>
<td width="179" valign="bottom">3.2</td>
</tr>
</tbody>
</table>
<p>The term “Non-Hispanic Other” represents all Asian ethnicities and Native Americans. 45% of Filipinos report having a Filipino father.  Only 32.6% of Japanese mothers report having a Japanese partner, they are by far the most exogamous group.</p>
<p><strong> Female Hypergamy?</strong></p>
<p>My main reason for investigating this issue was to find evidence of so-called “female hypergamy” on a national scale. However, I was quickly discouraged when I found that for an alarming percentage of mothers, the race of their child’s father was ‘unknown’ (though as you’ll notice, these percentages aren’t quite as high as illegitimacy rates). With <a href="http://pqvarus.wordpress.com/2010/03/12/interracial-breeding/">white women</a>, I hypothesized that a heavily disproportionate portion of unknown father category would be black and Hispanic due to educational differences between white mothers who reproduced with different groups. But with <a href="http://pqvarus.wordpress.com/2010/03/13/interracial-breeding-indian-chicks/">Indian women</a>, it appeared that those who reproduced exogamously were actually better educated than those with Indian men.</p>
<p>You can find some evidence of female hypergamy with Asian groups however. From the overall births (<a href="http://www.icpsr.umich.edu/icpsrweb/ICPSR/ssvd/variables/24941-0001_FRACE">here </a>and <a href="http://www.icpsr.umich.edu/icpsrweb/ICPSR/ssvd/variables/24941-0001_MRACE?q=mrace">here</a>) 4518 Korean women gave birth while only 3501 women reported having Korean men as fathers. This suggests that unless a sizeable population of Korean men are running around and knocking up women in trailer parks/inner-city and disappearing, Korean men are losing the reproductive battle with men of other races.</p>
<p><strong>The real “black breeding”</strong></p>
<p>Random googlers may be disappointed to find that Black men don’t appear to be sexually outcompeting peckerwoods with white women or other minorities &#8211; even Puerto Ricans. I was also surprised that it appears that white women and other minorities prefer Hispanic men over blacks <em>(Though I would guess in the case of illegitimate offspring, perhaps identifying the father as white/Hispanic is more acceptable for some?)</em></p>
<p>If we were genuinely curious about how much women of a certain race preferred men of another race, looking at the overall percentages would be deceptive as different cultures put varying amounts pressure on their female members to search for mates within the group. The<strong> <span style="font-weight:normal;">best sort of analysis would be to compare how non-group members do relative to other non-group members.</span></strong></p>
<p>White women, for example, are 1.77 times more likely to report reproducing with a Hispanic than a black. That ratio for Chinese women is 3.14, Filipino women at 2.0, and Vietnamese women at 3.4. The ratio is lowest for Indian women at 1.5.</p>
<p>Cuban women are 6.2 times more likely to report reproducing with a white male than a black. That ratio for Chinese women is 17.2, Vietnamese women at 6.0, and Mexican women at 4.6. The ratio is lowest for Indian women at 4.2. I left out Puerto Ricans as they have heavy black ancestry.</p>
<p>These ratios imply that <strong>Indian women (if they are in the mood to be exogamous) are more likely to “hook-up” with black men than women of other races.</strong> Given that Indians and blacks are at polar opposites of the socioeconomic spectrum, this is somewhat interesting.</p>
<p><strong>UPDATE 04/15/10: </strong>TheAsianofReason asked about the statistical significance of my assertions. While the sample sizes are fairly large, there were 18k Chinese and Indian mothers each, they may be susceptible the geographic bias (eg. perhaps New Jersey Indians are more prone to miscegenation with blacks than Arizona Indians?).</p>
<p>Crunching the numbers from the available data, I found that Indians were significantly more like to reproduce with black men than Chinese women (χ2=19.44, p&lt;0.001) and significantly less likely than reproduce with white men than Mexican mothers.  I don&#8217;t know how to check the proportions though. Two-proportion confidence interval maybe?</p>
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		<title>Texas’ Little-Discussed Drug Culture</title>
		<link>http://pqvarus.wordpress.com/2010/03/29/texas-drugs/</link>
		<comments>http://pqvarus.wordpress.com/2010/03/29/texas-drugs/#comments</comments>
		<pubDate>Mon, 29 Mar 2010 20:24:34 +0000</pubDate>
		<dc:creator>levi johnston</dc:creator>
				<category><![CDATA[Cultural Differences]]></category>
		<category><![CDATA[Nurture Vs. Nature]]></category>
		<category><![CDATA[Politics]]></category>

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		<description><![CDATA[Keeping inline with his on-going California v. Texas theme, Steve Sailer points out  white students at various grade levels perform better in Texas than in California. This was true of other races too.<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=pqvarus.wordpress.com&amp;blog=12309930&amp;post=128&amp;subd=pqvarus&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>Keeping inline with his on-going California v. Texas theme, Steve Sailer <a href="http://isteve.blogspot.com/2010/03/are-white-californians-dumber-than.html">points out</a> white students at various grade levels perform better in Texas than in California. This was true of other races too.</p>
<p>This doesn’t really follow HBD theories. As expected, Sailer commenters are mostly hysterical.</p>
<p><a href="http://www.imdb.com/title/tt0083929/">Spicolli</a> from <em>Fast Times at Ridgemont High</em> (1982) is referenced as evidence of California’s evasive drug culture. California commenters began relating stories of ‘rehab’ I assume they had heard on <em>Entertainment Tonight</em>. They’ve bought into the media hype of self-worshipping Angelinos. Like my former Californian Hispanic co-workers at Dominos, I soon expected someone to chime in about how “badass” commercialized Humboldt county weed is. A few references to <em>Californication</em> would’ve been nice too.</p>
<p>Californians forget that Asians numerically/socially dominate their white-flight public schools and drug use among those groups simply doesn’t fly. In contrast, suburban Texas schools are whiter and laid back. A decade ago, in the white-flight Dallas suburb of Plano, approximately 20 teens died in a 3 year span<a href="http://www.highbeam.com/doc/1G1-53657348.html"> </a><a href="http://www.highbeam.com/doc/1G1-53657348.html">from a low-quality Heroin epidemic.</a> Hardcore drugs are more prevalent in Texas (and probably cheaper) as the state only sits on one of the largest illicit drug corridors in the world. Comparing the responses on the <a href="http://www.cdc.gov/mmwr/preview/mmwrhtml/ss5704a1.htm#tab41">Youth Risk Behavioral Survey</a> (2007) between the major metropolitan areas of the two states we find that Texas high school students pwn their west coast counterparts:</p>
<p><strong>Ever used cocaine?</strong></p>
<p>Dallas: 12.6%</p>
<p>Houston: 11.4%</p>
<p>LA: 11.4%</p>
<p>San Diego: 9%</p>
<p>San Bernardino: 5.5%</p>
<p>San Francisco: 5.2%</p>
<p><strong>heroin/meth use:</strong></p>
<p>Dallas: 5.2%</p>
<p>Houston: 4.9%</p>
<p>LA: 3.1%</p>
<p>San Diego: 3.2%</p>
<p>San Bernardino: 1.7%</p>
<p>San Francisco: 2.3%</p>
<p><strong>Ecstasy use:</strong></p>
<p>Dallas: 6.8%</p>
<p>Houston: 10.3%</p>
<p>LA: 6.4%</p>
<p>San Diego: 9%</p>
<p>San Bernardino: 5.1%</p>
<p>San Francisco: 6.7%</p>
<p>Dallas leads the nation in cocaine use and Houston leads in ecstacy use. In the state surveys overall Texas comes in second in cocaine use and first in ecstasy use. Early in December, a massive shipment of<a href="http://www.cbsnews.com/8301-504083_162-5864845-504083.html"> tabs imprinted with Obama’s face were seized</a> in the Rio   Grande Valley.</p>
<p>This isn’t even a new phenomenon, from a 2000 <em>Austin Chronicle</em> article “<a href="http://www.austinchronicle.com/gyrobase/Issue/story?oid=oid:77529">Countdown to Ecstasy</a>”</p>
<blockquote><p>Due in no small part to the open-air-market feel of Ecstasy dealing in Austin and other cities, however, the DEA rushed MDMA into Schedule I on July 1, 1985, using the Comprehensive Crime Control Act of 1984, which allowed for &#8220;emergency scheduling of any substance deemed to be a significant threat to the public.&#8221;</p>
<p>The DEA issued a statement justifying the emergency scheduling, which mentioned the &#8220;open promotion of MDMA as a legal euphoriant through fliers, circulars, and promotional parties,&#8221; and noted the almost certainly lowballed statement that &#8220;30,000 dosage units of MDMA are distributed in Dallas each month.&#8221;</p></blockquote>
<p>The article also claims that the UK-band New Order had their first roll in Austin. $12 a hit? Haha. Glad to know some things haven’t been hit so badly by inflation.</p>
<p>In addition to Mexican-imported stimulants, Houston rappers are responsible for popularizing the prescription-drug concoction <a href="http://en.wikipedia.org/wiki/Purple_drank">Purple Drank</a> throughout the south.</p>
<span style="text-align:center; display: block;"><a href="http://pqvarus.wordpress.com/2010/03/29/texas-drugs/"><img src="http://img.youtube.com/vi/wsoMVxtKlGM/2.jpg" alt="" /></a></span>
<p>I haven’t tried this, but it seems clever. In spite of these behaviors, I suppose Houston blacks could have higher IQs than African-Americans from other states. The other stuff doesn’t really make sense though&#8230;</p>
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		<title>Demonstrated &#8220;gene silencing&#8221; in humans via siRNA administration</title>
		<link>http://pqvarus.wordpress.com/2010/03/25/demonstrated-gene-silencing-in-humans-via-sirna-administration/</link>
		<comments>http://pqvarus.wordpress.com/2010/03/25/demonstrated-gene-silencing-in-humans-via-sirna-administration/#comments</comments>
		<pubDate>Thu, 25 Mar 2010 04:34:12 +0000</pubDate>
		<dc:creator>levi johnston</dc:creator>
				<category><![CDATA[Genetics]]></category>
		<category><![CDATA[ARWR]]></category>
		<category><![CDATA[gene silencing]]></category>
		<category><![CDATA[Obongo-care]]></category>
		<category><![CDATA[RNAi]]></category>
		<category><![CDATA[siRNA]]></category>

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		<description><![CDATA[From Nature: Therapeutics that are designed to engage RNA interference (RNAi) pathways have the potential to provide new, major ways of imparting therapy to patients. Long, double-stranded RNAs were first shown to mediate RNAi in Caenorhabditis elegans, and the potential use of RNAi for human therapy has been demonstrated by the finding that small interfering [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=pqvarus.wordpress.com&amp;blog=12309930&amp;post=121&amp;subd=pqvarus&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>From <a href="http://www.nature.com/nature/journal/vaop/ncurrent/full/nature08956.html">Nature</a>:</p>
<blockquote><p>Therapeutics that are designed to engage RNA interference (RNAi) pathways have the potential to provide new, major ways of imparting therapy to patients. Long, double-stranded RNAs were first shown to mediate RNAi in Caenorhabditis elegans, and the potential use of RNAi for human therapy has been demonstrated by the finding that small interfering RNAs (siRNAs; approximately 21-base-pair double-stranded RNA) can elicit RNAi in mammalian cells without producing an interferon response. We are at present conducting the first in-human phase I clinical trial involving the systemic administration of siRNA to patients with solid cancers using a targeted, nanoparticle delivery system. Here we provide evidence of inducing an RNAi mechanism of action in a human from the delivered siRNA. <strong>Tumour biopsies from melanoma patients obtained after treatment show the presence of intracellularly localized nanoparticles in amounts that correlate with dose levels of the nanoparticles administered (this is, to our knowledge, a first for systemically delivered nanoparticles of any kind)</strong>. Furthermore, <strong>a reduction was found in both the specific messenger RNA (M2 subunit of ribonucleotide reductase (RRM2)) and the protein (RRM2) levels when compared to pre-dosing tissue.</strong> Most notably, <strong>we detect the presence of an mRNA fragment that demonstrates that siRNA-mediated mRNA cleavage occurs specifically at the site predicted for an RNAi mechanism</strong> from a patient who received the highest dose of the nanoparticles. Together, these data demonstrate that siRNA administered systemically to a human can produce a specific gene inhibition (reduction in mRNA and protein) by an RNAi mechanism of action.</p>
<p>[Davis ME, Zuckerman JE, Choi CH, et. al. Evidence of RNAi in humans from systemically administered siRNA via targeted nanoparticles. Nature (In Press)]</p></blockquote>
<p>RNA interference is a very new field of research. The guys who first observed RNAi won the Nobel Prize <a href="http://en.wikipedia.org/wiki/RNA_interference#History_and_discovery">just 4 years ago</a>.</p>
<p>From Calando Pharmaceuticals&#8217; <a href="http://www.marketwatch.com/story/arrowhead-research-subsidiary-calando-pharmaceuticals-provides-first-proof-of-rna-interference-in-humans-with-systemically-administered-sirna-therapeutic-clinical-trial-results-published-in-nature-2010-03-22">press release</a>:</p>
<blockquote><p>Thus far in the trial, no significant drug-related toxicities, known as serious adverse events (SAEs), have been observed that may limit use.</p></blockquote>
<p>Their Phase I trial appeared to only have 3 subjects but this is promising news. From a Nature Review in 2009, other clinical trials are ongoing using RNAi-based therapeutics:</p>
<blockquote><p><a href="http://pqvarus.files.wordpress.com/2010/03/trials2.jpg"><img class="aligncenter size-full wp-image-124" title="trials" src="http://pqvarus.files.wordpress.com/2010/03/trials2.jpg?w=600&#038;h=162" alt="" width="600" height="162" /></a>[Castanotto D, Rossi JJ. <a href="http://www.ncbi.nlm.nih.gov/pubmed/19158789">The promises and pitfalls of RNA-interference-based therapeutics.</a> Nature. 2009;457(7228):426-33.]</p></blockquote>
<p>ARWR is up 100% since this announcement. Seems like it should be more like 1000%. I guess dull investors are spooked by Obongo-care.</p>
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		<title>Low-IQ White male&#8217;s burden: depression?</title>
		<link>http://pqvarus.wordpress.com/2010/03/23/117/</link>
		<comments>http://pqvarus.wordpress.com/2010/03/23/117/#comments</comments>
		<pubDate>Tue, 23 Mar 2010 05:00:48 +0000</pubDate>
		<dc:creator>levi johnston</dc:creator>
				<category><![CDATA[Cultural Differences]]></category>
		<category><![CDATA[Nurture Vs. Nature]]></category>

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		<description><![CDATA[Over at Alternative Right, John Derbyshire babbles: phenes are heritable at about the 50 percent level &#8212; not a thing that will surprise anyone who has raised children, but another boot in the rear end for the &#8220;psychodynamic&#8221; model (&#8220;I&#8217;m like this because of the way I was raised!&#8221;) that underlay psychoanalysis, and earlier editions [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=pqvarus.wordpress.com&amp;blog=12309930&amp;post=117&amp;subd=pqvarus&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>Over at <a href="http://www.alternativeright.com/main/the-magazine/the-anatomy-of-melancholy/">Alternative Right</a>, John Derbyshire babbles:</p>
<blockquote><p>phenes are heritable at about the 50 percent level &#8212; not a thing that will surprise anyone who has raised children, but another boot in the rear end for the &#8220;psychodynamic&#8221; model (&#8220;I&#8217;m like this because of the way I was raised!&#8221;) that underlay psychoanalysis, and earlier editions of the DSM.</p></blockquote>
<p>Anyways, you get the point. Scroll down and he has a picture of some white guy posing with savages.</p>
<p>Presumably Derbyshire is aware of the higher prevalence of depression among whites and Asians relative to blacks and Hispanics. <a href="http://www.examiner.com/x-38737-Social-Justice-Examiner~y2010m3d22-Cornell-University-grapples-with-rash-of-student-suicides">Cornell </a>has had 6 suicides since October. In the 15-24 female age group, Asian-Americans (presumably east Asians in this case) have the <a href="http://www.cnn.com/2007/HEALTH/05/16/asian.suicides/index.html">highest suicide rate of any race</a>. Derbyshire would probably assume that these maladies are related to genetics or IQ.</p>
<p>It makes sense; introspection is going to require a minimum threshold of intellect. So one would assume that rates of depression would follow a linear upward trend from proletarian blacks/Hispanics to highly-educated whites and Asians, right? The over-rated but still brilliant <a href="http://en.wikipedia.org/wiki/David_Foster_Wallace">David Foster Wallace </a>hung himself. Kurt Kobain blasted himself while Tupac had to be taken down by another darkie. Obsidian would finally have something on those “high-IQ white folk”.</p>
<p>Researchers at UMich looked at the data from The National Health and Nutrition Examination Survey III which was conducted from 1988 to 1994. In it they found:</p>
<blockquote><p>Prevalence of major depressive disorder differed significantly by racial/ethnic group,with the highest prevalence in White participants (Table 1). Mexican American and White individuals had significantly earlier onset of major depressive disorder compared with African American individuals(P=.001). Overall, persons living in poverty had nearly 1.5 times the prevalence of major depressive disorder; however, poverty was significantly associated with prevalence of major depressive disorder only for White respondents (P=.023). Lack of education(&lt;8 years of school) was significantly associated with prevalence of major depressive disorder only for Mexican American individuals (P=.000).</p>
<p>[Riolo SA, Nguyen TA, Greden JF, King CA. <a href="http://www.ncbi.nlm.nih.gov/pubmed/15914823">Prevalence of depression by race/ethnicity: findings from the National Health and Nutrition Examination Survey III</a>. Am J Public Health. 2005;95(6):998-1000.]</p></blockquote>
<p>From their numbers, blacks/ Hispanics were about 30% less likely to be depressed. Adjusting for income and marital status (age did not appear to be a factor in depression diagnosis), blacks were half and likely to be depressed and Mexicans were about a third as likely.</p>
<p>Looking for more recent data, I downloaded the more recent <a href="http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/25501/detail">National Health and Nutrition Examination Survey (NHANES), 1999-2000</a> which unfortunately had a smaller sample size.</p>
<p>In the data the prevalence of depression by race was as follows:</p>
<p style="text-align:center;"><strong>Depression prevalence:</strong></p>
<p style="text-align:center;">White: 9.3%</p>
<p style="text-align:center;">Black: 5.3%</p>
<p style="text-align:center;">Mexican: 4.4%</p>
<p style="text-align:left;">But when I isolated rates of depression for whites by education, I was a little bit surprised</p>
<p style="text-align:center;"><strong>Depression by education (Whites only):</strong></p>
<p style="text-align:center;">High school or less: 42.9%</p>
<p style="text-align:center;">Some college/AA degree: 25.0%</p>
<p style="text-align:center;">Bachelors or above: 32.1%</p>
<p>You wouldn’t imagine Cletus to be brooding and deep but apparently, he is. The trend exists in other races. No college educated blacks or Mexicans in the study were depressed.</p>
<p>My other default assumption was that psychiatry is mostly quackery and smart people will purposefully deceive their shrinks about their MDD as they fear being placed on a dangerous, mild-altering <a href="http://en.wikipedia.org/wiki/Selective_serotonin_reuptake_inhibitor">SSRI</a>. After all, they were only visiting the shrink for a benzo or addie.</p>
<p>Yet these sorts of gaps pop-up over and over again, from <a href="http://en.wikipedia.org/wiki/Epidemiology_of_suicide">Wikipedia</a>:</p>
<blockquote><p>By race, in the United States, caucasians are nearly 2.5 times more likely to kill themselves than are [...] Hispanics.</p></blockquote>
<p>After looking at the numbers, I still don’t really understand them. If Depression is mostly genetic, presumably upper-class blacks and Hispanics would have similar rates as whites due to race-mixing. Obviously Depression has a mostly cultural and environmental component, though I’m sure Derbyshire doesn’t want to hear any of that.</p>
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		<title>African-Americans, Alzheimer’s Disease, and the effects of epimutations on cognition</title>
		<link>http://pqvarus.wordpress.com/2010/03/20/african-americans-alzheimer%e2%80%99s-disease-and-the-effects-of-epimutations-on-cognition/</link>
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		<pubDate>Sat, 20 Mar 2010 08:11:04 +0000</pubDate>
		<dc:creator>levi johnston</dc:creator>
				<category><![CDATA[Nurture Vs. Nature]]></category>
		<category><![CDATA[ApoE4]]></category>
		<category><![CDATA[cholesterol and cognitive decline]]></category>
		<category><![CDATA[cognitive differences]]></category>

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		<description><![CDATA[In my first few posts, I posit that racial differences in I.Q. scores may be partially related to racial differences in nutrition and environment. ‘Epigenetics’ provides a mechanism for this gene-environment interaction to occur.<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=pqvarus.wordpress.com&amp;blog=12309930&amp;post=106&amp;subd=pqvarus&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>In my first few posts, I posit that racial differences in I.Q. scores may be partially related to racial differences in nutrition and environment. ‘Epigenetics’ provides a mechanism for this gene-environment interaction to occur.</p>
<p>What is epigenetics and what proof is there of its existence in humans? This explains it pretty clearly:</p>
<blockquote><p>Interestingly, a recent study in monozygotic twins has shown that the epigenetic ‘‘code’’ displays alterations, which increase with aging and depend on the amount of time that the twins spent together (Fraga et al., 2005). For example, in 35% (14 of 40)of the investigated twin pairs both genomic 5-methyl-C content and the acetylation levels of H3 and H4 were significantly different in each twin. Moreover, Fraga and colleagues found a direct association between these epigenetic differences and theage of the MZ twins, <strong>i.e. the younger pairs were epigenetically similar, whereas the older pairs were most distinct. In recent years, it has become increasingly clear that, besides stochastic changes in the epigenome that occur throughout life, environmental factors such as nutrition, diet, drugs, hormones, and infections modulate a person’s phenotype via epigenetic mechanisms</strong> (Abdolmaleky et al., 2004; Liu et al., 2008; Poulsen et al., 2007).</p>
<p>[Chouliaras L, Rutten BP, Kenis G, Peerbooms O, et al. <a href="http://www.ncbi.nlm.nih.gov/pubmed/20097254">Epigenetic regulation in the pathophysiology of Alzheimer's disease.</a> <em>Prog Neurobiol.</em> (In Press)]</p></blockquote>
<p>Alzheimer’s disease is a well-studied example of environment affecting cognition, though exact epigenetic mechanisms are not yet known. Racial differences in prevalence of AD appear to exist. According to the<a href="http://www.alz.org/national/documents/report_africanamericanssilentepidemic.pdf"> Alzheimer’s Association</a>:</p>
<blockquote><p>Alzheimer’s disease is more prevalent among African-Americans than among whites — with estimates ranging from 14% to almost 100% higher</p></blockquote>
<p>The epsilon 4 allele of the<a href="http://en.wikipedia.org/wiki/Apolipoprotein_E"> APOE</a> gene is believed to be associated with Alzheimer’s and other cognitive impairments. The allele is held by 23.1% of African Americans and 14.9% of whites and it appears to be associated with cognitive decline in people as young as 45. But the most significant role in cognitive decline is not the allele itself the <strong>gene-environment interaction </strong>of the E4 allele with high cholesterol and diabetes. Just look at this chart, which shows the decline in a subject&#8217;s mental acuity over 6 years.</p>
<blockquote><p><a href="http://pqvarus.files.wordpress.com/2010/03/apoe4.jpg"><img class="aligncenter size-full wp-image-107" title="apoe4" src="http://pqvarus.files.wordpress.com/2010/03/apoe4.jpg?w=600" alt=""   /></a></p>
<p>[Blair CK, Folsom AR, Knopman DS, Bray MS, et al. <a href="http://www.ncbi.nlm.nih.gov/pubmed/15668424">APOE genotype and cognitive decline in a middle-aged cohort. </a>Neurology. 2005;64(2):268-76.]</p></blockquote>
<p>The African-American cohort in that study was too heterogeneous to make draw any statistically significant conclusions from, however they found that</p>
<blockquote><p>In African Americans, 4 carriers had greater ultrasound-assessed carotid intima–media thickness than noncarriers.</p></blockquote>
<p>Which suggests that cognitive decline in that group could’ve happened well before 45.</p>
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		<title>Indian States by HDI</title>
		<link>http://pqvarus.wordpress.com/2010/03/15/indian-states-by-hdi/</link>
		<comments>http://pqvarus.wordpress.com/2010/03/15/indian-states-by-hdi/#comments</comments>
		<pubDate>Mon, 15 Mar 2010 23:27:19 +0000</pubDate>
		<dc:creator>levi johnston</dc:creator>
				<category><![CDATA[Politics]]></category>

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		<description><![CDATA[I recently stumbled upon a ranking of individual Indian states by their Human Development Index (HDI) scores. From the Indian Handbook on Social Welfare Statistics (2007): HDI (1999) Kerala 0.638 Punjab 0.537 Tamil Nadu 0.531 Maharashtra 0.523 Haryana 0.509 Gujarat 0.479 Karnataka 0.478 India (all) 0.472 West Bengal 0.472 Rajasthan 0.424 Andhra Pradesh 0.416 Orissa [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=pqvarus.wordpress.com&amp;blog=12309930&amp;post=101&amp;subd=pqvarus&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>I recently stumbled upon a ranking of individual Indian states by their Human Development Index (HDI) scores. From the Indian <a href="http://socialjustice.nic.in/pub.php">Handbook on Social Welfare Statistics</a> (2007):</p>
<table border="0" cellspacing="0" cellpadding="0" width="180">
<tbody>
<tr>
<td width="95" valign="top"></td>
<td width="85" valign="top"><strong>HDI (1999)</strong></td>
</tr>
<tr>
<td width="95" valign="top">Kerala</td>
<td width="85" valign="top">0.638</td>
</tr>
<tr>
<td width="95" valign="top">Punjab</td>
<td width="85" valign="top">0.537</td>
</tr>
<tr>
<td width="95" valign="top">Tamil Nadu</td>
<td width="85" valign="top">0.531</td>
</tr>
<tr>
<td width="95" valign="top">Maharashtra</td>
<td width="85" valign="top">0.523</td>
</tr>
<tr>
<td width="95" valign="top">Haryana</td>
<td width="85" valign="top">0.509</td>
</tr>
<tr>
<td width="95" valign="top">Gujarat</td>
<td width="85" valign="top">0.479</td>
</tr>
<tr>
<td width="95" valign="top">Karnataka</td>
<td width="85" valign="top">0.478</td>
</tr>
<tr>
<td width="95" valign="top">India (all)</td>
<td width="85" valign="top">0.472</td>
</tr>
<tr>
<td width="95" valign="top">West Bengal</td>
<td width="85" valign="top">0.472</td>
</tr>
<tr>
<td width="95" valign="top">Rajasthan</td>
<td width="85" valign="top">0.424</td>
</tr>
<tr>
<td width="95" valign="top">Andhra Pradesh</td>
<td width="85" valign="top">0.416</td>
</tr>
<tr>
<td width="95" valign="top">Orissa</td>
<td width="85" valign="top">0.404</td>
</tr>
<tr>
<td width="95" valign="top">Madhya Pradesh</td>
<td width="85" valign="top">0.394</td>
</tr>
<tr>
<td width="95" valign="top">Uttar Pradesh</td>
<td width="85" valign="top">0.388</td>
</tr>
<tr>
<td width="95" valign="top">Assam</td>
<td width="85" valign="top">0.386</td>
</tr>
<tr>
<td width="95" valign="top">Bihar</td>
<td width="85" valign="top">0.367</td>
</tr>
</tbody>
</table>
<p>At the top of the list, you&#8217;ll notice Communist-ruled <a href="http://en.wikipedia.org/wiki/Kerala">Kerala</a>. From 1999 to 2007, India’s overall HDI grew by about 30%. Assuming all the states grew at exactly the same rate that the nation did, I went ahead and multiplied them by that amount and threw in a few black African nations to give us a gauge on how things might be in recent years:</p>
<table border="0" cellspacing="0" cellpadding="0" width="168">
<tbody>
<tr>
<td width="83" valign="bottom"><strong><br />
</strong></td>
<td width="85" valign="bottom"><strong>HDI (2007)</strong></td>
</tr>
<tr>
<td width="83" valign="top">Kerala</td>
<td width="85" valign="bottom">0.827</td>
</tr>
<tr>
<td width="83" valign="top"><strong>Jamaica </strong></td>
<td width="85" valign="bottom">0.766</td>
</tr>
<tr>
<td width="83" valign="top">Punjab</td>
<td width="85" valign="bottom">0.696</td>
</tr>
<tr>
<td width="83" valign="top">Tamil Nadu</td>
<td width="85" valign="bottom">0.688</td>
</tr>
<tr>
<td width="83" valign="top"><strong>Namibia</strong></td>
<td width="85" valign="bottom">0.686</td>
</tr>
<tr>
<td width="83" valign="top">Maharashtra</td>
<td width="85" valign="bottom">0.678</td>
</tr>
<tr>
<td width="83" valign="top">Haryana</td>
<td width="85" valign="bottom">0.660</td>
</tr>
<tr>
<td width="83" valign="top">Gujarat</td>
<td width="85" valign="bottom">0.621</td>
</tr>
<tr>
<td width="83" valign="top">Karnataka</td>
<td width="85" valign="bottom">0.619</td>
</tr>
<tr>
<td width="83" valign="top">India (all)</td>
<td width="85" valign="bottom">0.612</td>
</tr>
<tr>
<td width="83" valign="top">West Bengal</td>
<td width="85" valign="bottom">0.612</td>
</tr>
<tr>
<td width="83" valign="top"><strong>Angola</strong></td>
<td width="85" valign="bottom">0.564</td>
</tr>
<tr>
<td width="83" valign="top">Rajasthan</td>
<td width="85" valign="bottom">0.550</td>
</tr>
<tr>
<td width="83" valign="top"><strong>Kenya</strong></td>
<td width="85" valign="bottom">0.541</td>
</tr>
<tr>
<td width="83" valign="top">Andhra Pradesh</td>
<td width="85" valign="bottom">0.539</td>
</tr>
<tr>
<td width="83" valign="top">Orissa</td>
<td width="85" valign="bottom">0.524</td>
</tr>
<tr>
<td width="83" valign="top"><strong>Uganda</strong></td>
<td width="85" valign="bottom">0.514</td>
</tr>
<tr>
<td width="83" valign="top">Madhya Pradesh</td>
<td width="85" valign="bottom">0.511</td>
</tr>
<tr>
<td width="83" valign="top">Uttar Pradesh</td>
<td width="85" valign="bottom">0.503</td>
</tr>
<tr>
<td width="83" valign="top">Assam</td>
<td width="85" valign="bottom">0.500</td>
</tr>
<tr>
<td width="83" valign="top"><strong>Malawi</strong></td>
<td width="85" valign="bottom">0.493</td>
</tr>
<tr>
<td width="83" valign="top">Bihar</td>
<td width="85" valign="bottom">0.476</td>
</tr>
</tbody>
</table>
<p>Uttar Pradesh is home of the Taj Mahal.</p>
<p>While India has big time discrepancies among states, development doesn&#8217;t seem to be concentrated in one specific geographic region. See: <a href="http://en.wikipedia.org/wiki/List_of_Mexican_states_by_Human_Development_Index">Mexican States by HDI</a></p>
<p><strong>Update: </strong>The BBC <a href="http://news.bbc.co.uk/2/hi/south_asia/8546952.stm">wonders</a> why Kerala isn&#8217;t Singapore and why Kerala doesn&#8217;t attempt to imitate more successful Indian states. The NYT gives us a<a href="http://www.nytimes.com/2010/03/19/world/asia/19india.html"> response</a>.</p>
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		<title>Interracial Breeding: Indian Chicks</title>
		<link>http://pqvarus.wordpress.com/2010/03/13/interracial-breeding-indian-chicks/</link>
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		<pubDate>Sat, 13 Mar 2010 20:47:49 +0000</pubDate>
		<dc:creator>levi johnston</dc:creator>
				<category><![CDATA[Cultural Differences]]></category>
		<category><![CDATA[indian women black men]]></category>
		<category><![CDATA[Interracial breeding]]></category>
		<category><![CDATA[Interracial Mating]]></category>
		<category><![CDATA[Interracial offspring]]></category>
		<category><![CDATA[miscegenation indian women]]></category>

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		<description><![CDATA[Robert Lindsay has an interesting post about how much head size varies amongst the races. Curious about how this would relate to interracial mating, I checked to see if women of particularly small-headed races have more C-sections when they reproduce with men of big-headed races.
<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=pqvarus.wordpress.com&amp;blog=12309930&amp;post=83&amp;subd=pqvarus&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>Robert Lindsay has an <a href="http://robertlindsay.wordpress.com/2010/03/11/the-head-sizeraceiq-trainwreck/">interesting post </a>about how much head size varies amongst the races. Curious about how this would relate to interracial mating, I checked to see if women of particularly small-headed races have more C-sections when they reproduce with men of big-headed races.</p>
<p>Short Answer: <span style="font-weight:bold;">Yes</span> but the difference is very slight.</p>
<p>To start with, I looked at the data from the<a href="http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/24941"> 2006 Natality Detail File</a> for races which Lindsey noted as having small skulls. Only certain states collect data on Asian nationalities (you can see the variable<a href="http://www.icpsr.umich.edu/icpsrweb/ICPSR/ssvd/variables/24941-0001_MRACE"> here</a>), from that data I looked at Asian Indians (the dot kind, not the feather kind). Of those who gave birth in certain states in 2006 (n=18025), the race of the father is as follows..</p>
<p style="text-align:center;"><span style="font-weight:bold;">Race of Father</span> (<span style="font-weight:bold;">Indian Women)</span></p>
<p style="text-align:center;"><span style="font-weight:bold;">Hispanic:                             1.7%</span></p>
<p style="text-align:center;"><span style="font-weight:bold;">White:                                     4.7%</span></p>
<p style="text-align:center;"><span style="font-weight:bold;">Black:                                       1.1%</span></p>
<p style="text-align:center;"><span style="font-weight:bold;">Indian:                                88.3%</span></p>
<p style="text-align:center;"><span style="font-weight:bold;">Other Asian:                             1%</span></p>
<p style="text-align:center;"><span style="font-weight:bold;">Unknown/Not Stated:   3.2%</span></p>
<p><span style="font-weight:bold;"> </span></p>
<p>And the education of the mothers who reproduced with these fathers (in terms of years of schooling):</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td style="text-align:center;" width="102" valign="top"><span style="font-weight:bold;">Race of Father</span></td>
<td style="text-align:center;" width="86" valign="top"><span style="font-weight:bold;">Mean Educational   Attainment</span></td>
<td style="text-align:center;" width="79" valign="top"><span style="font-weight:bold;"> Std. Deviation</span></td>
</tr>
<tr>
<td width="102" valign="top">Mexican</td>
<td width="86" valign="top">16.13</td>
<td width="79" valign="top">21.101</td>
</tr>
<tr>
<td width="102" valign="top">White</td>
<td width="86" valign="top">15.78</td>
<td width="79" valign="top">4.531</td>
</tr>
<tr>
<td width="102" valign="top">Black</td>
<td width="86" valign="top">15.71</td>
<td width="79" valign="top">12.236</td>
</tr>
<tr>
<td width="102" valign="top">Indian</td>
<td width="86" valign="top">15.64</td>
<td width="79" valign="top">7.207</td>
</tr>
<tr>
<td width="102" valign="top">Unknown/Not Stated</td>
<td width="86" valign="top">14.51</td>
<td width="79" valign="top">16.052</td>
</tr>
<tr>
<td width="102" valign="top">All</td>
<td width="86" valign="top">15.60</td>
<td style="text-align:center;" width="79" valign="top">7.824</td>
</tr>
</tbody>
</table>
<p><span style="font-weight:bold;"> </span></p>
<p>Once again, we notice that the “Unknown” mothers are the lagging group. These differences are not statistically significant.</p>
<p>Excepting the unknown father group, they appear almost the reverse educational hierarchy of White women who engage in miscegenation (which I covered in a previous post &#8211; <a href="http://pqvarus.wordpress.com/2010/03/12/interracial-breeding/">Interracial Breeding: White Women</a>).</p>
<p>And what about the rate of Caesarian births?</p>
<p style="text-align:center;"><span style="font-weight:bold;"> C-Section births with Indian mothers:</span></p>
<p style="text-align:center;"><span style="font-weight:bold;">Chinese Guys                                    41.7%</span></p>
<p style="text-align:center;"><span style="font-weight:bold;">White Guys                                        38.4%</span></p>
<p style="text-align:center;"><span style="font-weight:bold;">Indian Guys                                        36.3%</span></p>
<p><span style="font-weight:bold;"> </span></p>
<p>This follows Lindsay’s racial hierarchy of head sizes.</p>
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		<title>Interracial Breeding: White Women</title>
		<link>http://pqvarus.wordpress.com/2010/03/12/interracial-breeding/</link>
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		<pubDate>Fri, 12 Mar 2010 15:11:32 +0000</pubDate>
		<dc:creator>levi johnston</dc:creator>
				<category><![CDATA[Cultural Differences]]></category>
		<category><![CDATA[black men white women baby]]></category>
		<category><![CDATA[Interracial breeding]]></category>
		<category><![CDATA[Interracial Mating]]></category>
		<category><![CDATA[Interracial offspring]]></category>
		<category><![CDATA[miscegenation white women]]></category>

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		<description><![CDATA[Curious about the general phenomenon of interracial couplings, I recently downloaded the CDC’s 2006 Natality Detail File to figure out just how much interracial matin’ goes on. For non-Hispanic white mothers who gave birth in 2006 (or at least 2,309,212 of them), the reported race of father looks like this.<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=pqvarus.wordpress.com&amp;blog=12309930&amp;post=76&amp;subd=pqvarus&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p><strong>UPDATE 03/31/10</strong>: New post on this subject- <a href="http://pqvarus.wordpress.com/2010/03/31/interracial-mating/">By the numbers: Interracial Mating in America</a></p>
<p>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;</p>
<p>Curious about the general phenomenon of interracial couplings, I recently downloaded the CDC’s <a href="http://www.icpsr.umich.edu/icpsrweb/RCMD/studies/24941;jsessionid=C4B5429A9E884833A2086E1466BD55A7">2006 Natality Detail File</a> to figure out just how much interracial matin’ goes on. For non-Hispanic white mothers who gave birth in 2006 (or at least 2,309,212 of them), the reported race of father looks like this.</p>
<p style="text-align:center;"><strong>Race of Father (white women):</strong></p>
<p style="text-align:center;"><strong>Hispanic:                                             4.7%</strong> <strong> </strong></p>
<p style="text-align:center;"><strong> NH White:                                          81.3%</strong></p>
<p style="text-align:center;"><strong><span style="font-weight:normal;"><strong>Black:                                                    2.6%</strong></span></strong></p>
<p style="text-align:center;"><strong> NH Other:                                           1.7%</strong></p>
<p style="text-align:center;"><strong> Unknown/Not Stated:                   9.7%</strong></p>
<p><strong> </strong></p>
<p>Couple of things that jump out at me:</p>
<ul>
<li>WTF is other? Asians? Native Americans? Whoever they are they seem to be reasonably reproductively successful relative to other minorities..</li>
<li>Unknown? Are there that many women who don’t know who the daddy is?</li>
</ul>
<p style="text-align:left;">While it would be easy to make the unknown category proportional with the rest of the data, I think it would be a mistake to assume that when a mother is so destitute as to be unable to name a father on the birth certificate, the dad will 90% of the time be of the same race. If we compare the mean educational attainment (in terms of years of schooling) of white females who breed with men of different groups, we see an interesting trend:</p>
<table style="text-align:center;" border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td style="text-align:center;" width="102" valign="top"><strong>Race of Father</strong></td>
<td style="text-align:center;" width="86" valign="top"><strong>Mean educational   attainment</strong></td>
<td style="text-align:center;" width="72" valign="top"><strong> Std. deviation</strong></td>
</tr>
<tr>
<td width="102" valign="top">NH Other</td>
<td width="86" valign="top">14.93</td>
<td width="72" valign="top">10.073</td>
</tr>
<tr>
<td width="102" valign="top">Cuban</td>
<td width="86" valign="top">14.85</td>
<td width="72" valign="top">6.443</td>
</tr>
<tr>
<td width="102" valign="top">NH White</td>
<td width="86" valign="top">14.63</td>
<td width="72" valign="top">6.954</td>
</tr>
<tr>
<td width="102" valign="top">Black</td>
<td width="86" valign="top">13.47</td>
<td width="72" valign="top">7.515</td>
</tr>
<tr>
<td width="102" valign="top">Mexican</td>
<td width="86" valign="top">13.41</td>
<td width="72" valign="top">7.918</td>
</tr>
<tr>
<td width="102" valign="top">Unknown/Not Stated</td>
<td width="86" valign="top">13.31</td>
<td width="72" valign="top">10.790</td>
</tr>
<tr>
<td width="102" valign="top"></td>
<td width="86" valign="top"></td>
<td width="72" valign="top"></td>
</tr>
<tr>
<td width="102" valign="top">All</td>
<td width="86" valign="top">14.45</td>
<td width="72" valign="top">7.531</td>
</tr>
</tbody>
</table>
<p style="text-align:center;"><strong> </strong></p>
<p style="text-align:left;">This trend was not exclusive to whites. Mexican-origin and black mothers who were unsure of the father of their child, 12.9% and 36.6% respectively, had the least mean educational attainment of their respective groups. Similarly, for Mexican-origin and black mothers who had a father in the “Other” category the reverse was true. <strong>Black women with fathers in the “Other” category (n=2429) had a mean of 16.11 years of schooling, the highest of any non-Asian group I can find.</strong></p>
<p style="text-align:left;">Only 55% of white mothers (n=1273706) live in states that collect data on which particular Asian nationality knocked them up.  From that data we find that white women with Chinese fathers (n=796) have a mean of 16.03 years of schooling, the highest of any particular white subgroup I can find. Following them closely are those with Asian Indian fathers (n=775) with a mean of 15.78 years of schooling. A significant portion of “Other” males appear to be Native American/Alaskan Indian (n=7584) vs. about 10000 or so total azns.</p>
<p style="text-align:left;">I would guess that overall for white women, the Other category is about 1/2-2/3 Asian while the “Unknown” category is disproportionately black and Hispanic. My puny laptop can&#8217;t handle any meaningful checks for bimodality, though a random sample of 5% of all responses showed very high variance in both of those groups.</p>
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		<title>Infant mortality and race</title>
		<link>http://pqvarus.wordpress.com/2010/03/10/infant-mortality-and-race/</link>
		<comments>http://pqvarus.wordpress.com/2010/03/10/infant-mortality-and-race/#comments</comments>
		<pubDate>Wed, 10 Mar 2010 04:35:58 +0000</pubDate>
		<dc:creator>levi johnston</dc:creator>
				<category><![CDATA[Cultural Differences]]></category>
		<category><![CDATA[Nurture Vs. Nature]]></category>
		<category><![CDATA[Politics]]></category>

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		<description><![CDATA[A while ago, Steve Sailer noticed that American Hispanics have lower infant mortality rates than American whites, who in turn have lower infant mortality rates than Blacks. Sailer later remarked that Hispanic mothers must “take good care of their health during pregnancy” to produce such results. That seems very unlikely. Underclass Hispanic mothers are often [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=pqvarus.wordpress.com&amp;blog=12309930&amp;post=67&amp;subd=pqvarus&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>A while ago, Steve Sailer <a href="http://isteve.blogspot.com/2009/11/qualified-to-enlist.html">noticed</a> that American Hispanics have lower infant mortality rates than American whites, who in turn have lower infant mortality rates than Blacks. Sailer later <a href="http://isteve.blogspot.com/2009/11/nyt-hispanic-immigrants-children-fall.html">remarked</a> that Hispanic mothers must “take good care of their health during pregnancy” to produce such results.</p>
<p>That seems <em>very</em> unlikely. Underclass Hispanic mothers are often poorly educated teens who, as I noted in my first post are <a href="http://pqvarus.wordpress.com/2010/03/03/environmental-variables-and-group-mean-cognitive-differences-part-i/">among the least likely to utilize pre-natal healthcare</a>. “Metabolic programming” and high obesity rates among US Hispanics indicate that pregnant Hispanic mothers don’t have the best diets, either.</p>
<p>Let’s take a look at the numbers, from the <a href="http://mchb.hrsa.gov/healthystart/evaluation/benchmarkreport/introduction.htm">CDC</a>:<a href="http://pqvarus.files.wordpress.com/2010/03/infantmortality1.gif"><img class="aligncenter size-full wp-image-69" title="infantmortality" src="http://pqvarus.files.wordpress.com/2010/03/infantmortality1.gif?w=600" alt=""   /></a></p>
<p>Notice that relative to Chinese mothers, the Japanese mothers have high infant mortality rates.</p>
<p>Now <a href="http://en.wikipedia.org/wiki/List_of_countries_by_infant_mortality_rate">compare</a> US whites with Europeans:</p>
<table id="sortable_table_id_0">
<tbody>
<tr>
<th>Rank  <a href="http://en.wikipedia.org/wiki/List_of_countries_by_infant_mortality_rate#"><img src="http://bits.wikimedia.org/skins-1.5/common/images/sort_none.gif" alt="↓" /></a></th>
<th>Country or territory  <a href="http://en.wikipedia.org/wiki/List_of_countries_by_infant_mortality_rate#"><img src="http://bits.wikimedia.org/skins-1.5/common/images/sort_none.gif" alt="↓" /></a></th>
<th>Infant mortality rate<br />
(deaths/1,000 live births)  <a href="http://en.wikipedia.org/wiki/List_of_countries_by_infant_mortality_rate#"><img src="http://bits.wikimedia.org/skins-1.5/common/images/sort_none.gif" alt="↓" /></a></th>
<th>Under-five mortality rate<br />
(deaths/1,000 live births)  <a href="http://en.wikipedia.org/wiki/List_of_countries_by_infant_mortality_rate#"><img src="http://bits.wikimedia.org/skins-1.5/common/images/sort_none.gif" alt="↓" /></a></th>
</tr>
<tr>
<td>1</td>
<td align="left"><img src="http://upload.wikimedia.org/wikipedia/commons/thumb/c/ce/Flag_of_Iceland.svg/22px-Flag_of_Iceland.svg.png" alt="" width="22" height="16" /> <a title="Iceland" href="http://en.wikipedia.org/wiki/Iceland">Iceland</a></td>
<td>2.9</td>
<td>3.9</td>
</tr>
<tr>
<td>2</td>
<td align="left"><img src="http://upload.wikimedia.org/wikipedia/commons/thumb/4/48/Flag_of_Singapore.svg/22px-Flag_of_Singapore.svg.png" alt="" width="22" height="15" /> <a title="Singapore" href="http://en.wikipedia.org/wiki/Singapore">Singapore</a></td>
<td>3.0</td>
<td>4.1</td>
</tr>
<tr>
<td>3</td>
<td align="left"><img src="http://upload.wikimedia.org/wikipedia/commons/thumb/9/9e/Flag_of_Japan.svg/22px-Flag_of_Japan.svg.png" alt="" width="22" height="15" /> <a title="Japan" href="http://en.wikipedia.org/wiki/Japan">Japan</a></td>
<td>3.2</td>
<td>4.2</td>
</tr>
<tr>
<td>4</td>
<td align="left"><img src="http://upload.wikimedia.org/wikipedia/commons/thumb/4/4c/Flag_of_Sweden.svg/22px-Flag_of_Sweden.svg.png" alt="" width="22" height="14" /> <a title="Sweden" href="http://en.wikipedia.org/wiki/Sweden">Sweden</a></td>
<td>3.2</td>
<td>4.0</td>
</tr>
<tr>
<td>5</td>
<td align="left"><img src="http://upload.wikimedia.org/wikipedia/commons/thumb/d/d9/Flag_of_Norway.svg/22px-Flag_of_Norway.svg.png" alt="" width="22" height="16" /> <a title="Norway" href="http://en.wikipedia.org/wiki/Norway">Norway</a></td>
<td>3.3</td>
<td>4.4</td>
</tr>
<tr>
<td>6</td>
<td align="left"><img src="http://upload.wikimedia.org/wikipedia/commons/thumb/5/5b/Flag_of_Hong_Kong.svg/22px-Flag_of_Hong_Kong.svg.png" alt="" width="22" height="15" /> <a title="Hong Kong" href="http://en.wikipedia.org/wiki/Hong_Kong">Hong Kong</a></td>
<td>3.7</td>
<td>4.7</td>
</tr>
<tr>
<td>7</td>
<td align="left"><img src="http://upload.wikimedia.org/wikipedia/commons/thumb/b/bc/Flag_of_Finland.svg/22px-Flag_of_Finland.svg.png" alt="" width="22" height="13" /> <a title="Finland" href="http://en.wikipedia.org/wiki/Finland">Finland</a></td>
<td>3.7</td>
<td>4.7</td>
</tr>
<tr>
<td>8</td>
<td align="left"><img src="http://upload.wikimedia.org/wikipedia/commons/thumb/c/cb/Flag_of_the_Czech_Republic.svg/22px-Flag_of_the_Czech_Republic.svg.png" alt="" width="22" height="15" /> <a title="Czech Republic" href="http://en.wikipedia.org/wiki/Czech_Republic">Czech Republic</a></td>
<td>3.8</td>
<td>4.8</td>
</tr>
<tr>
<td>9</td>
<td align="left"><img src="http://upload.wikimedia.org/wikipedia/commons/thumb/f/f3/Flag_of_Switzerland.svg/20px-Flag_of_Switzerland.svg.png" alt="" width="20" height="20" /> <a title="Switzerland" href="http://en.wikipedia.org/wiki/Switzerland">Switzerland</a></td>
<td>4.1</td>
<td>5.1</td>
</tr>
<tr>
<td>10</td>
<td align="left"><img src="http://upload.wikimedia.org/wikipedia/commons/thumb/0/09/Flag_of_South_Korea.svg/22px-Flag_of_South_Korea.svg.png" alt="" width="22" height="15" /> <a title="South Korea" href="http://en.wikipedia.org/wiki/South_Korea">South Korea</a></td>
<td>4.1</td>
<td>4.8</td>
</tr>
<tr>
<td>11</td>
<td align="left"><img src="http://upload.wikimedia.org/wikipedia/commons/thumb/9/92/Flag_of_Belgium_%28civil%29.svg/22px-Flag_of_Belgium_%28civil%29.svg.png" alt="" width="22" height="15" /> <a title="Belgium" href="http://en.wikipedia.org/wiki/Belgium">Belgium</a></td>
<td>4.2</td>
<td>5.3</td>
</tr>
<tr>
<td>12</td>
<td align="left"><img src="http://upload.wikimedia.org/wikipedia/commons/thumb/c/c3/Flag_of_France.svg/22px-Flag_of_France.svg.png" alt="" width="22" height="15" /> <a title="France" href="http://en.wikipedia.org/wiki/France">France</a></td>
<td>4.2</td>
<td>5.2</td>
</tr>
</tbody>
</table>
<p>Definitions of “infant mortality” vary by country, hence the much touted “Cuba has better healthcare than the US!”* is likely due to differences in reporting methods to a national health agency (or straight-up lies). Generally however, white Americans have much higher infant mortality than Europeans. 92% of whites and probably all Japanese-Americans have health insurance, so that shouldn’t be an issue. Or is it? From <a href="http://www.npr.org/templates/story/story.php?storyId=103270766">NPR</a>:</p>
<blockquote><p>As challenging as it is for young women to avoid pregnancy, for older women getting pregnant can be difficult. In fact, one out of every 100 babies born in the U.S. is conceived with medical help. And most of the time that means in vitro fertilization &#8211; IVF &#8211; where eggs and sperm are united in a Petri dish and then embryos are transferred to the woman.</p>
<p>One thing about IVF; it does increase the odds of multiple births. NPR&#8217;s Patti Neighmond reports on how some women feel about that and what doctors are doing about it.</p>
<p>&#8230;.</p>
<p>NEIGHMOND: The priority in Finland then is to achieve pregnancy with only one embryo. Dr. Veleva and colleagues recently did a study where each patient produced an average of five healthy embryos. A single embryo was then transferred to the patient, the rest were frozen. If the patient didn&#8217;t get pregnant the next month, another embryo was thawed and transferred. If the patient still didn&#8217;t get pregnant, then the next month another single embryo was thawed and transferred. And so on for several months.</p>
<p>Veleva says in the end women undergoing this process were more likely to have babies than women who received multiple embryos in the first place.</p>
<p>&#8230;.</p>
<p>NEIGHMOND: But here in the U.S. doctors say that may not work as well. For one thing, women in this country usually have to pay for IVF treatments on their own. Many just can&#8217;t afford multiple rounds of IVF. In Europe, national health insurance typically pays.</p></blockquote>
<p>Here’s a horrifying logarithmic graph of infant mortality comparing twins versus singletons; the solid lines represent different age-cohorts of singletons and the stripped lines represent twins [From: Misra DP, Ananth CV. Infant mortality among singletons and twins in the United States during 2 decades: effects of maternal age. Pediatrics. 2002; 110(6):1163-8]:</p>
<p><a href="http://pqvarus.files.wordpress.com/2010/03/twinning1.jpeg"><img class="aligncenter size-full wp-image-71" title="twinning" src="http://pqvarus.files.wordpress.com/2010/03/twinning1.jpeg?w=600&#038;h=768" alt="" width="600" height="768" /></a></p>
<p>The twinning rate is <a href="http://en.wikipedia.org/wiki/Twin#Ethnicity">already higher for blacks </a>(that could explain the racial discrepancy**) and privatized IVF treatments are raising the white rate (and probably Japanese rate). If I was a white demagogue, I would come to the conclusion that privatized healthcare is:<strong> “Genocide of White ‘Muricans”</strong>. Rahm-care sounds kinda retarded but if actually efforts were made to emulate an efficient British or Canadian NHS-type system, I <a href="http://krugman.blogs.nytimes.com/2008/03/28/runaway-health-care-costs-were-1/">fail to see how the average American would lose</a>.</p>
<p>*According to the CIA World Factbook, Cuba is 34% black/mulatto. If Cuba&#8217;s infant mortality numbers are indeed true, US OB/GYNs should do everything to emulate to Cuban healthcare system.</p>
<p>**Of course, underclass black mothers also have very poor behaviors and diets, so that undoubtedly plays a large role as well.</p>
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		<title>Hispanic Crime</title>
		<link>http://pqvarus.wordpress.com/2010/03/08/hispanic-crime/</link>
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		<pubDate>Mon, 08 Mar 2010 00:56:32 +0000</pubDate>
		<dc:creator>levi johnston</dc:creator>
				<category><![CDATA[Politics]]></category>
		<category><![CDATA[Brownsville murder rate]]></category>
		<category><![CDATA[El Paso murder rate]]></category>
		<category><![CDATA[Hispanic crime]]></category>

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		<description><![CDATA[A debate over ‘spanic crime has paleoconservative “intellectuals” Ron Unz and Jason Richwine desperately trying to out tard each other. Unz, whose spurious claim that Hispanics have a lower crime rate than whites stirred off the debate, relies on faulty data and a few mistruths (eg. pairwise comparisons of cities with significant Hispanic populations to [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=pqvarus.wordpress.com&amp;blog=12309930&amp;post=54&amp;subd=pqvarus&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>A debate over ‘spanic crime has paleoconservative “intellectuals” Ron Unz and Jason Richwine desperately trying to out tard each other.</p>
<p>Unz, whose <a href="http://www.google.dk/url?sa=t&amp;source=web&amp;ct=res&amp;cd=10&amp;ved=0CCoQFjAJ&amp;url=http%3A%2F%2Fwww.theatlanticwire.com%2Ffeatures%2Fview%2Ffeature%2FThe-Myth-of-Hispanic-Crime-Rates-786&amp;ei=9UaUS6msA4aD_AbC7ujiDA&amp;usg=AFQjCNEErJ1KrbipdNDTIVeSilTePyGwPQ">spurious claim</a> that Hispanics have a lower crime rate than whites stirred off the debate, relies on <a href="http://www.chroniclesmagazine.org/index.php/2010/02/22/unzism-a-dangerous-doctrine/comment-page-1/">faulty data</a> and a few mistruths (eg. pairwise comparisons of cities with significant Hispanic populations to cities with larger black populations). <a href="http://www.alternativeright.com/main/blogs/hbd-human-biodiversity/more-on-hispanics-and-crime/">Richwine </a>(and other bloggers at <a href="http://www.alternativeright.com/main/blogs/left-right/the-great-hispanic-crime-debate/">Alternative Right</a>) uses data showing that U.S.-born Hispanics have higher incarceration rates than immigrant Hispanics* as evidence of an impending Hispanic crime wave and Hispanic acculturation to inner-city black norms. While it <em>should</em> be clear to anybody making blog posts about crime and immigration that when immigrant Hispanics face charges of drug trafficking, simple assault, robbery, they can expect to be deported. U.S.-born Hispanics facing similar charges can expect to spend a few years in jail. Richwine demagogically chooses to either ignore this point or is <a href="http://en.wikipedia.org/wiki/Intelligence_quotient">simply incapable of comprehending it on his own</a>.</p>
<p>Unz’s data and conclusions are probably wrong but his discussion of the <em>relatively</em> low violent crime rates of nearly entirely-Hispanic cities is an interesting one. El Paso appears to have the <a href="http://www.txdps.state.tx.us/administration/crime_records/pages/crimestatistics.htm">2nd lowest murder rate </a>(2.8 per 100k) of any city with a population greater 500,000. El Paso is not an aberration. Other overwhelmingly (90+%) Hispanic cities along the Rio Grande have similar low numbers:</p>
<p><a href="http://www.mcallen.net/files/docs/police/2009crimeinmcallen.pdf">McAllen</a> at 2.91 per 100k.</p>
<p><a href="http://www.cob.us/files/138/2009ACR.pdf">Brownsville</a> at 2.26 per 100k.</p>
<p>While these cities are relatively safe compared to the black-influenced US national average (5.6 per 100k), they are relatively violent compared to the average white American murder rate of ~2 per 100k (according to <a href="http://www.colorofcrime.com/">Jared Taylor</a>**). Reliable age- and poverty- adjusted numbers would be interesting to analyze. These cities have very high poverty rates and the average Hispanic Texan is around 26 years old.</p>
<p><a href="http://www.lagriffedulion.f2s.com/serial.htm">La Griffe du Lion</a> has claimed that Hispanics have fewer serial murderers, per-capita, than whites. Anybody who pays attention to violence just across the river finds that <a href="http://en.wikipedia.org/wiki/Mexican_Drug_War">very hard to swallow</a>….</p>
<p>I’ll have more on why majority Hispanic cities in the United States are much less violent than Mexican cities along the border and why the Hispanics in these cities seem relatively well-behaved compared to their co-ethnics in more diverse cities. Hint: Bowling.</p>
<p>*Studies have shown that U.S.-born Mexicans have worse health outcomes than their Foreign-born parents. The effects of the environment on crime would fit well with the general theme of this blog and I will get to get to some studies on that later (re: blacks and lead). But as I pointed out, Richwine is full of shit.</p>
<p>**Jared Taylor describes himself as a &#8216;white nationalist&#8217; and it’s worth keeping in mind that nationwide Hispanic stats are skewed by the very criminally-inclined Dominicans and Puerto Ricans in the Northeast. That said, I’d trust his data more than I’d trust Richwine or Unz. Q: Are NY Puerto Ricans more violent than NY Blacks?</p>
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