Spike Lee's Do The Right Thing

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Here at pumpkinperson.com, we’re huge fans of Spike Lee, whose most famous film is Do the Right Thing.

The film was partly about the tension between Black and Korean Americans. Here’s my favorite scene:

Despite being fresh off the boat with no money in their pockets, no business experience and no English, the Korean immigrants in the film were so adaptable, they could come into a Black neighborhood and out-compete all the life long black businesses until they had a monopoly. Sadly, this made the black characters in the film feel genetically inferior.

Speaking of youtube clips, someone posted a youtube video named after one my blog articles:

Average IQ at Harvard law school

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I’ve always been curious about people who got advanced degrees from elite universities, like Harvard law school graduates for example, because not only do they have the most advanced degrees, but from the most prestigious schools to boot. We know Harvard undergrads average IQs around 17 points higher than the average university undergrad (125 vs 108 (white norms); the difference is much larger on the SAT because it’s used to select Harvard undergrads, thus causing a selection bias.

We also know law school grads average about 11 points higher than the typical university grad (119 vs 108 (white norms)).

A naive reader might think that if Harvard undergrads are 17 points smarter than the average university grad, and if law grads are 11 points smarter than the average university grad, then Harvard law grads must be 17 + 11 = 28 IQ points smarter than the average university grad, giving them an IQ of:

108 + 28 = 136

But this would only be true if Harvard students and law grads were independent groups. In reality, being a Harvard undergrad dramatically increases your odds of getting a Harvard law degree (or equivalent).

Law degrees (i.e Juris Doctor degree) are now classified as a type of doctor’s degree and Harvard confers about 1,455 such degrees a year. Given that U.S. citizens are about 78.9% of Harvard, we can guestimate U.S. citizens recieve only 78.9% of their doctor’s degrees, so roughly 1,148.

Given that about 4 million Americans come of age every year, we can say getting a Harvard Doctor’s degree is a one in 3,484 achievement, and thus the median such person would be a one in 6,969 achiever.

If there were a perfect correlation between IQ and academic success, this would imply an IQ of 154 (U.S. norms) but since the correlation between IQ and highest degree attained is only about 0.55 an IQ of 0.55(54) + 100 = 130 is expected.

Converting to white norms gives an IQ of 128.

Estimating the IQs of 39 countries (new data from 2015)

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In 2002 Richard Lynn and Tatu Vanhanen’s book IQ and Wealth of Nations estimated the IQs of 185 countries. Critics accused them of cherry picking sources, using unrepresentative samples, comparing and combining samples tested on wildly different tests taken decades apart, and daring to think IQ could be measured cross-culturally. And yet despite nearly two decades of opprobrium, those national IQs remain a landmark, cited in countless peer reviewed articles and repeatedly revised.

One way Lynn has validated his numbers is by showing their high correlation with international exams like Programme for International Student Assessment (PISA). Another independent data-set against which Lynn’s numbers can be tested (assuming he already hasn’t done so) is the IEA‘s Trends in International Mathematics and Science Study (TIMSS). Ostensibly an achievement test, the math section resembles an IQ test, and the test is scored so that most countries average between 400 and 600.

Sample items:

Source
Source

Using the score distribution of UK students as a reference group (see technical note below), I converted the scores from 39 countries to IQ equivalents. My source for the TIMMS scores is exhibit 1.2 in this report.

 
Country TIMMS score (8th grade math; 2015) IQ equivalent
Singapore 621 118
Korea, Rep. of, 606 116
Chinese Taipei 599 114
Hong Kong SAR  594 113
Japan 586 112
Russian Federation 538 103
Kazakhstan 528 102
Canada 527 101
Ireland 523 101
United States 518 100
England 518 100
Slovenia 516 99
Hungary 514 99
Norway 512 99
Lithuania 511 98
Israel 511 98
Australia 505 97
Sweden 501 97
Italy 494 95
Malta 494 95
New Zealand 493 95
Malaysia 465 90
United Arab Emirates 465 90
Turkey 458 89
Bahrain 454 88
Georgia 453 88
Lebanon 442 86
Qatar 437 85
Iran, Islamic Rep. of 436 85
Thailand 431 84
Chile 427 83
Oman 403 79
Kuwait 392 77
Egypt  392 77
Botswana 391 77
Jordan  386 76
Morocco 384 76
South Africa 372 73
Saudi Arabia 368 73

Consistent with Lynn’s hierarchy, we find that East Asian countries cluster around the top (Japan IQ 112 to Korea, Repub of, IQ 116), followed by white majority countries (New Zealand IQ 95 to Russian federation IQ 103), followed by Dark Caucasoid countries (Saudi Arabia IQ 73 to United Arab Emirates IQ 90) and lastly sub-Saharan countries (South Africa IQ 73 to Botswana IQ 77). And while Lynn’s data was ridiculed for declaring entire countries “mentally retarded”, it’s perhaps a sign of higher quality data that no country in this data-set averaged below IQ 70 (though most of the poorest countries chose not to participate).

Technical note

On page 95 of the report, we’re told that only 10% of England’s 8th graders could score 625+, 36% could score 550+, 69% could score 475+, and 93% could score 400+. Subtracting these percentages from 100 gives the following percentiles: 90, 64, 31, and 7 which can be converted to the following IQs: 119, 105, 93, and 78. Now that we have the IQ equivalents of four TIMMS scores, we can make a linear equation converting TIMMS to IQ which is IQ = 0.18(TIMMS score) + 6.5:

U.S. ethnic gaps in reading & math as of 2019

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The NAEP provides ethnic averages and percentiles in both reading and math for 8th graders in 2019. I chose 8th graders because they are the oldest age group for which they have nationally representative samples, since 12th graders only include those who have not yet dropped out of school. Note: scores are reported on 0 to 500 scale.

Reading
  whites blacks Hispanics American Indian/Alaska native Asian/Pacific Islander Multiracial
90th percentil 314 288 297 293 326 312
Average 272 244  252 248 281 267
10th percentile 227 197 202 198 232 218
Estimated SD  34 36 38 38 37 37
Math
  whites blacks Hispanics American Indian/Alaska native Asian/Pacific Islander Multiracial
90th percentil 339 306 314 308 364 337
Average 292 260 268 262 310 286
10th percentile 245 215 222 215 252 235
Estimated SD 37 36 36 37 44 40

Although the NAEP is not an IQ test, the correlation between IQ tests and scholastic achievement tests is about as high as the correlation between two IQ tests, making them statistically equivalent in the general population. Further, the main reason people care about racial IQ gaps is because they translate into racial learning gaps, so converting to IQ seems appropriate and the advantage of using the NAEP to infer group IQ gaps is the excellent sampling this data has among subjects who have spent their whole lives learning these skills.

 
  reading IQ math IQ composite IQ
whites 100 100 100
blacks 88 88 86
Hispanics 91 90 90
American Indian/Alaska native 89 88 88
Asian/Pacific Islander 104 107 106
Multiracial 98 98 97

For technical details on how these scores were converted to IQ, see technical note below.

Technical note

The reading, math, and composite NAEP scores were converted to IQ by equating the white NAEP means with 100 and the white NAEP SDs with 15. The reading and math SDs were estimated by subtracting the 90th percentile NAEP scores from the 10th percentile scores and dividing by 2.53 (the bell curve Z score difference between these percentiles) .To determine the white mean of the composite score, we simply add the reading and math means, which gives 564. The white SD of the composite score was crudely estimated by assuming the reading and math correlation among all white 8th graders taking the NAEP is the same as the correlation among all college bound 17-year-olds taking the SAT (r = 0.67 according to Herrnstein and Murray). Using the formula for calculating the composite SD (from page 779 of the book The Bell Curve by Herrnstein and Murray):

formula

This gives a composite white SD of 65.

 

 

 

Exclusive interview with genomic researcher Davide Piffer

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I am extremely honored that Davide Piffer (who has a blog) was kind enough to give our community an exclusive interview. While the leading geneticists in academia have explained only about 10% of the variance in IQ (or its proxy education) at the individual level, Piffer working on his own has reported near perfect correlations between the mean IQs of entire ethnic groups and their polygenic scores, making him a rock star in the HBD community. Virtually no one else on the planet is doing this kind of cutting edge research (at least not publicly).

In retrospect it makes perfect sense that aggregated data should correlate much better than individual level data. Imagine you visited every country in Eurasia and asked only the first person you met in each country their height. Such a small sample size (n = 1) from each country would tell you nothing about which individual country was taller than which, but if you averaged all the heights from the European countries and compared them to the average heights from the Asian countries, you’d learn a lot about which continent was taller. That’s because the small sample size at the level of individual countries is multiplied by the large sample of countries in each continent.

It’s the same with genomically predicting IQ. The small sample of single nucleotide polymorphisms (SNPs) sampled in each individual is multiplied by the large number of individuals sampled in each ethnic group, so while individual predictions are weak, group predictions are strong because individual error cancels out in the aggregate.

Below is my exclusive interview with Piffer. The interview has been lightly edited to remove typos and other mistakes. I began by asking him about table 5 in a 2019 paper he wrote. My statements are in red, while Davide’s are in blue.

Table 5 from the paper Evidence for Recent Polygenic Selection on Educational Attainment and Intelligence Inferred from Gwas Hits: A Replication of Previous Findings Using Recent Data

PP: I’m very impressed by your work. But the correlation between PG score & mean IQ is so high in table 5 of Piffer (2019) that it seems too perfect. What would you say to skeptics who think you cherry-picked SNPs or manipulated your formulas to get such perfect results?

DP: Thanks. I didn’t cherry pick SNPs. I used the polygenic score provided by Lee et al and you can see that different PGS construction methods lead to same results… I used EA, EA Mtag, etc, weighted and unweighted..they all give same results. Also my paper replicates my previous findings and what I had predicted from theory years ago. The IQs aren’t cherry picked either because I used the same as I used in previous papers to avoid post hoc results.

PP: In table 1 of Piffer (2019), Peruvians & Colombians seem to have higher polygenic scores than the black populations, yet in Figure 11, Africa scores higher than the Americas. So who has higher polygenic scores: sub-Saharan Africans or Amerindians?

top part of table 1 from the paper Evidence for Recent Polygenic Selection on Educational Attainment and Intelligence Inferred from Gwas Hits: A Replication of Previous Findings Using Recent Data
rest of table 1 from the paper Evidence for Recent Polygenic Selection on Educational Attainment and Intelligence Inferred from Gwas Hits: A Replication of Previous Findings Using Recent Data
Figure 11 from the paper Evidence for Recent Polygenic Selection on Educational Attainment and Intelligence Inferred from Gwas Hits: A Replication of Previous Findings Using Recent Data

DP: Peruvian and Colombian aren’t pure. They are substantially mixed with Europeans. The groups in figure 11 are natives, so they better reflect the unadmixed population. Also the latter are from low coverage genomes with fewer markers so less reliable. I am working on a high coverage version of same datasets but it will take a while due to my limited funds.

Do you have some basic experience in bioinformatics? I am just looking for someone who could run the code on their laptop because it’s taking me a week to impute each chromosome. So I need to run it on multiple computers. But hey no bother…I will do it myself, it will just take it longer.

PP: No sadly I do not have experience with bioinformatics. But I can ask my blog & twitter readers if anyone has such experience and is willing to volunteer their time.

On table 5 of Piffer (2019) the African American PGS (GWAS sig) is 1.836 lower than the NW European PGS. But since African Americans are only 76% non-white (Bryc et al. 2015), can we roughly infer that un-mixed blacks would be 1.836/0.76 = 2.416 below NW Europeans, giving them a PGS score of 46.834?

DP: yes…also you have unmixed native Africans in the other tables. Kenyans, Yoruba, Mende Sierra Leone, etc

PP: In table 5 Latinos have a PGS (GWAS sig.) of 48.654. Do you think this could be used to estimate the PGS of unmixed Amerindians because according to Bryc et al, 2015, Latino Americans are 65.1% white (mostly southern European), 6.2% black, 18% Amerindian, and 11% unassigned, though the unassigned is broader East Asian/Amerindian so should probably be counted as Amerindian. Since you report the PGS for Southern Europeans and since I estimate the the PGS for pure blacks at 46.834, using simple algebra, I estimate unmixed Amerindians would have a PGS of 47.510.

DP: yes, but you should also cross-check these with the other table with scores for Peruvians and Mexicans and see if they converge.

PP: Good point. In one of your data sets you find a 0.57 correlation between PGS and latitude. Do you agree with Lynn’s cold winter theory of how racial differences in intelligence evolved?

DP: in part, yes. but it doesn’t explain the low Amerindian IQ because Native Americans were in Siberia during the Last Glacial Maximum and then they moved to North America at the end of it, which is also a cold region…So I think most of the differences are due to farming and civilization

PP: Well Lynn argues the anomalies can all be explained by population size. Low population races like Arctic people, Amerindians, Australoids, Bushmen, & pygmies have lower IQs than their climates predict because there weren’t enough positive mutations. Meanwhile high population races like East Asians, whites, South Asians, and West Africans have higher IQs than their climates predict. This would also explain why Neanderthals had lower IQs than their climates predict.

DP: but these SNPs are common among the races..the differences are explained by these common SNPs, not pop specific mutations. pop size is probably related to it through higher competition for resources selecting for higher IQ.

PP: I see…so then it was probably farming and civilization as you say. Just as cold climate boosted IQ because it was a novel environment to adapt to, so was farming, civilization and the literacy and numeracy requirements it imposed. Of course Amerindians also independently created civilization but most remained hunter-gatherers.

DP: yes… plus we don’t know how many of these SNPs are just life history or personality traits like C. stuff that farming selected for. most of them are related to g but a subset will also be related to conscientiousness. Emil et al in their Psych paper vetted their association with g in a sample though so I guess they must be genuine associations with IQ for the most part.

PP: Yes, because no one has given a huge sample (n = 1 million) of genotyped people a highly g loaded test. A perfect study would get a sample of 1 million people (from all over the world) and give them an extremely culture reduced test with many subtests to maximize g loading (i.e. block design, draw a person in the sand, name as many body parts as you can in 1 minute in your own language, pictorial oddities etc) and then enter the composite score, DNA and human development index of each person into a computer and have machine learning create a multiple regression equation predicting IQ using HDI & genomic variants as independent variables. By using such a diverse and global sample, one finds the genomic variants that correlate with IQ everywhere and thus are most likely to be causal.

DP: yes.

PP: Now that the neanderthal genome has been published, why haven’t you tried to estimate their polygenic score? Richard Klein argues that before about 50 kya, modern humans and neanderthals had similar intellect, but suddenly around 50 kya there was a genetic brain change that allowed modern humans to leave Africa, colonize every continent, replace neanderthals & invent art & complex technology. Testing this hypothesis was the main motivation to sequence the neanderthal genome so there’s enormous interest in their intelligence, even in mainstream science.

DP: yes that’s the next step…we’re analyzing genomes from Bronze age now, but Neanderthal would be good. But funds are limited for this kind of research and I am not working in academia.

PP: Above you rejected Lynn’s population size mutation theory on the grounds that all races have all the known IQ related genomic variants, however it also seems you have no high coverage genomes from low population isolated groups like pygmies, bushmen, australoids, arctic people & pure Amerindians. Is it plausible that high coverage genomes of these groups would show they are missing some of the IQ enhancing mutations that appeared in the last 15,000 years?

DP: What I am saying is that you can see a difference even at the common SNPs in their frequencies. I cannot rule out that they are also missing these mutations but that would be an additional factor.

PP: Do you agree with John Hawks’s theory that positive selection in the last 5000 years has been a hundred times faster than in any other period of human evolution because of the explosion of new mutations & environmental change? This is the exact opposite of Gould who argued we have the same bodies and brains we’ve had 40,000 years ago and all subsequent change has been cultural not biological.

DP: from a purely theoretical point of view, yes, but one would need to study ancient genomes to empirically vet that hypothesis.

PP: Is there any strong evidence in support of Michael Woodley’s theory that white genomic IQ has declined by 10 or 15 IQ points since the Victorian era?

DP: I computed the decline based on the paper by Abdellaoui on British [Education Attainment] PGS and social stratification and it’s about 0.3 points per decade, so about 3 points over a century.

It’s not necessarily the case that IQ PGS declined more than the EA PGS..if anything, the latter was declining more because dysgenics on IQ is mainly via education so I think 3 points per century is a solid estimate

Thank you Davide Piffer for this interview. As mentioned above, you can find more of Davide’s thoughts on his blog.

A near perfect correlation between ethnic IQ & ethnic DNA

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Davide Piffer looked at 2,404 genomic variants found to predict education (a rough proxy for IQ) and used these to create polygenic scores of eight ethnic groups reared in First World conditions. He then compared the polygenic scores with the mean IQ of each group and found a 0.979 correlation.

Table 5 from Evidence for Recent Polygenic Selection on
Educational Attainment and Intelligence Inferred
from Gwas Hits: A Replication of Previous Findings
Using Recent Data
by Davide Piffer, 2019

The line of best fit allows us to predict the mean IQ of any group from their PGS (GWAS sig.):

Mean IQ = 9.31(PGS (GWAS sig.)) – 358

Given the 0.979 correlation, genotype predicts IQ remarkably well: Finnish 102, Ashkenazi 108, Southern Europe 99, Estonia 100, NW European 100, African American 83, Latino 95, East Asians 105.

So while our genomic predictions of IQ remain poor at the individual level, Piffer is showing we can predict the mean IQs of ethnic groups with incredible precision, at least when they’re all reared in similar countries.

Because we have only found a tiny fraction of the genetic variants associated with IQ (or its proxy education), the margin of error for predicting any one person’s IQ remains high. But when you try to predict the average IQ of an entire ethnic group, the overestimates and underestimates cancel each other out, and there’s a near perfect correlation between the mean polygenic score and the mean IQ.

Prehistoric war

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With all the talk in the news about a potential war, it’s a good time to ask what war was like 80,000 years ago, as brilliantly depicted by one of my all time favorite movies, Quest for Fire (1980)

There were no guns so people (and I use that term loosely) would stab with spears, throw rocks or simply wrestle. Instead of dropping bombs on cities, people would try to drop boulders on folks on sitting around a camp fire by pushing it off of an above cliff.

The tribes in Quest for Fire can be divided into three main levels. 1) those smart enough to make fire (potential IQ around 80),

2) those smart enough to maintain fire but not smart enough to make it (potential IQ around 70),

and 3) those not smart enough to make or maintain it so they must steal it from more advanced tribes (potential IQ around 50).

Today every human population has mastered fire so we no longer fight wars over that, and instead (as Lion of the Blogosphere has implied) the World is divided into countries smart enough to make nuclear weapons (potential IQ around 100), countries smart enough to maintain nuclear weapons (potential IQ around 90) and countries smart enough to do neither (potential IQ around 80).

Quest for Fire as a culture fair test of fluid verbal IQ?

Another interesting feature of this film is that it could serve as a rare example of a of verbal IQ test that is both culture reduced and fluid (as opposed to crystallized). Since most of the dialogue is from no-known language ( a new language based on Indo-European roots was specifically created by Anthony Burgess ), high SES people can’t rely on their fancy education and must infer definitions on the spot.

If one scores much higher on an English vocabulary test than they do on a test like this, it implies either they were educated beyond their ability and/or cognitive decline (since their fluid verbal IQ was presumably good in the past to have acquired high crystallized verbal IQ).

Just from watching the above clip, readers can test themselves by defining the words “wogaboo” “dominyai” and “Ka Ka Ka”.

Luce (2019)

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pumpkin person rating: 9/10

I recently watched Luce (2019) and I proclaim it one of the best films of the year. The film is about a light skinned African child soldier who is adopted by upper-class white parents and blossoms into the star of his high school. The white teachers and peers crown him their Golden boy because he is bright, articulate, polite, athletic, and has a nice smile. He is constantly asked to give speeches to the entire school, and much like Obama, held up as an example of the American dream.

However his history teacher, portrayed flawlessly by Octavia Spencer, begins to worry that Luce is too good to be true. As a dark skinned overweight black woman like Oprah, she had to claw her way up the ladder using hard work and brains, not having the luxury of being a light skinned male with upper-class white parents.

Realizing this teacher is a problem, he mysteriously starts charming her mentally ill younger sister, even suggesting the teacher invite her to school to see one of his speeches.

Of course the last thing this dignified teacher wants is for the white suburban school to know she has a schizophrenic sister with what appears to be an IQ around 70, resulting in one of the most graphic and humiliating scenes in movie history.

Was this all part of Luce’s master plan? The film doesn’t say, forcing the viewer to decide whether Luce is a misunderstood victim of society’s expectations, or a charming sociopath manipulating everyone.

The film is so good that a racist might assume it was written and directed by whites, but in fact the director and writers are black. When I learned this, I immediately suspected (correctly) that the director and co-writer was born in Africa, because such talent is more likely to be found among elite immigrants than the native population of any race.

However the Nigerian director (Julius Onah) gives much of the credit to his co-writer JC Lee who looks like a scrawny giggling Australian aboriginal with ripped jeans, though I suspect he’s African American.

The 100 most influential LIVING people of all time (2019 edition)

(rough draft)

Here is the complete list ranked from most influential to least influential:

03_13

1.Tim Berners Lee: played the leading role in developing the internet; the most influential technology on the planet

2. George W. Bush: president of the United States during the 9/11 attacks and the start of the war on terror.

3. Barry Shein: played a key role in the development of the internet

james_watson-dna_swiff

4. James Watson: helped discover the structure of DNA, revolutionizing the fields of biology, anthropology and law.

5. Steve Wozniak: Helped launch the technology revolution

6. Paul Mockapetris: played a key role in the development of the internet

clinton

7. Bill Clinton: President of the World’s most influential country at the peak of its influence

8. Bob Kahn: played a major role in the development of the internet

9. Khalid Sheikh (Shaikh) Mohammed: considered a mastermind of the September 11th attacks which dramatically changed the World

10. Vint Cerf: played a key role in the development of the internet

11. Mikhail Gorbachev : played a key role in the fall of the Soviet Union

12. Leonard Kleinrock: played a key role in the development of the internet

13. David Ho: The man who saved us from AIDS

14. Bill Gates: played a key role in launching the computer revolution and saved millions of Third World lives

15. George Soros: Instrumental in advancing leftist policies in America and Europe

16. John Klensin: played a key role in developing the Internet

17. Michael Froman: the man who chose Obama’s cabinet

18. Oprah: Created confession culture &  a more intimate form of media communication, paving the way for social media and reality TV. Broke the taboo over discussing sexual abuse, leading millions of victims to recovery. Even back in the 1980s, popularized a genre of talk show that’s been credited with mainstreaming LGBT people. Played the decisive role in electing the first black president and first black First Lady of the United States; a President who brought health care to millions of Americans. Her televised book club has been credited with making literature accessible to millions.

19. Yogen Dalal: played a key role in developing the internet

xi

20. Xi Jinping: presiding over the rise of China with economic policies that turned the Iraq war to China’s advantage.  The fear that China duped America in trade deals helped inspire Trump to run for President.

iger

21. Bob Iger: helped shape American media for decades thus paving the way for a black president and gay rights.

22. Gerald Levin: consolidated mass media in America

23. Michael Eisner: influential media mogul

putin

24. Vladimir Putin: Although his direct influence on the election of Trump has been greatly exaggerated, according to commenter Tenn he has changed the world’s geopolitical landscape more in recent years than has any other individual.

dorsey

25. Jack Dorsey: the founder and CEO of twitter

donald

26. Donald Trump: the man who ended political correctness.

27. Rupert Murdoch: his global right-wing media empire has changed the World

28. Mark Zuckerberg: created the most influential social networking forum

rubin

29. Robert Rubin: His advocacy for financial deregulation helped pave the way for the populist uprising that gave us Trump

30. Barack Obama [impact score 160]: First black in recorded history to ever be the most powerful human on the planet. Brought dignity and status to over a billion blacks. Brought healthcare to millions of working Americans. Saved America from a great depression and the world from an apocalyptic war with Iran, and achieved gay rights.  Some foreign policy blunders combined with the controversy over his birth, helped pave the way for Trump.

31. Angela Merkel: played a major role in changing the demographics of Europe

32. Bashar Hafez al-Assad: in power during the Syrian refugee crisis

33. David Plouffe: played a key role in electing Barack Obama president

34. Katie Couric:  The woman who destroyed Sarah Palin’s political ambitions, thus paving the way for Obama to get elected

assange

35. Julian Assange:  In spite of  (or perhaps because) he is “autistic” according to a character in a Jonathan Franzen novel, the Nordic Assange advanced his ethnic genetic interests by helping Trump get elected.

36. Mohammed Mana Ahmed al-Qahtani: Accused of being one of the 9/11 co-conspirators

37-41. The Dancing Israelis: Their behavior on September 11th 2001 inspired countless conspiracy theories

42. Ramzi bin al-Shibh: accused of being a key facilitator in the 9/11 attacks

43. Efraim Halevy: served as director of Mossad during a period of great change

colin

44. Colin Powell:  Helped pave the way for the first black President by normalizing the idea of black military leadership.  In 2003 he became the top salesman for transformative neocon foreign policy.

45. Phil Donahue: paved the way for Oprah, by pioneering the provocative daytime talk show, the most important counter-culture movement of the late 20th century

46. Ricki Lake: The Jewish Oprah; helped mainstream gays by hosting one of the more edgy Oprah style talk shows in the 1990s

47. Henry Kissinger: According to Wikipedia, “Kissinger played a prominent role in United States foreign policy between 1969 and 1977. During this period, he pioneered the policy of détente with the Soviet Union, orchestrated the opening of relations with the People’s Republic of China, and negotiated the Paris Peace Accords, ending American involvement in the Vietnam War.

48. Ian Wilmut: first person to clone an animal

clone
[from Left to right]Poo Muming, director of the Institute of Neurosciences at the Chinese Academy of Sciences, Sun Qiang, the director of the Nonhuman Primate Facility of the Institute of Neurosciences, center, and Liu Zhen

49-51. The Primate cloners: first people to clone a primate, paving  the way for human cloning

paabo

52.Svante Paabo: Sequenced Neanderthal DNA

53. Bradford Parkinson: The father of the Global Positioning System, which revolutionized how we navigate

54. Abe Karem: invented the predator drone, transforming the nature of warfare

gloria

55. Gloria Steinem: The mother of feminism; by paving the way for women, challenged gender roles, thus indirectly paving the way for gays too

56. Barbara Walters: trail blazer and iconic role model for women in media; helped make news more celebrity focused

57. Madonna: paved the way for an entire generation of provocative female performers such as Lady Gaga inflaming Muslim rage against America and helped make sexual deviance culturally acceptable, paving the way for gay marriage.

howard

58. Howard Stern: revolutionized American radio and helped make American culture more vulgar and sexual

59. Tina Fey: her impersonation of Sarah Palin helped cost her the election, paving the way for the first black president

woodward

60-61. Bob Woodward and Carl Bernstein: brought down a U.S. president and inspired a generation of journalists

62. Bill Moyers: played a key role in the Vietnam war

63-80. The neocons: Largely the visionaries and intellectual influence behind the extremely transformative foreign policy of the Bush43 administration

81. Tang Jiaxun: By opposing the Iraq war, helped position China to be one of its biggest winners.

82. Howard Kohr: executive director of the AIPAC during a critical period of U.S. foreign policy

83. Steven J Rosen: One of the top officials at AIPAC during a critical period of U.S. foreign policy

84. Dick Cheney: powerful Vice President during the transformative Bush administration

85. George Tenet: CIA director during a critical period of U.S. history

blair

86. Tony Blair:  Dragged Britain into war with Iraq & brought Clinton style third way politics to the UK

88-90. chad hurley steve chen and jawed karim: created youtube which revolutionized media

91-92. Google guys: launched the World’s most powerful search engine

93. Jimmy Wales: Changed the way the World shares knowledge

94. Khieu Samphan: played a critical role in the Vietnam war

95. General Khamtai Siphandon: played a key role in the Vietnam war

96. Paul McCartney: the leading living member of the most influential rock band of all time

yoko

97. Yoko Ono: Advanced her ethnic genetic interests by inspiring the World’s most influential rock stars to inspire the hippies that ended the war in Asia.

dj

98. DJ Clive “Kool Herc” Campbell: the father of hip hop

99. Reed Hastings: co-founder of Netflix. Revolutionized the way we watch movies and TV.

100. Bernard Munyagishari: accused of playing a key role in the 1994 Rwandan genocide.

New evidence supports Richard Lynn's cold winters theory

One of the single best predictors of a population’s IQ is the winter temperature of their ancestral environment, with colder ancestral winters predicting higher IQ today. Explaining this correlation, Richard Lynn proposed that higher IQ evolved in colder environments because you had to figure out how how to build shelter, sew clothes, make fire, hunt animals etc.

To me this makes good sense, but critics would point to the cold adapted Neanderthals who are generally considered less intelligent than modern humans, as evidence of the cold not requiring much intelligence. After all the Neanderthals survived the ice age just fine until our own species invaded their territory.

Or did they? New research suggests that our species was not to blame for the Neanderthal extinction.

The Guardian’s science editor Ian Sample writes:

The Neanderthal population was so small at the time modern humans arrived in Europe and the Near East that inbreeding and natural fluctuations in birth rates, death rates and sex ratios could have finished them off, the scientists claim.

https://www.theguardian.com/science/2019/nov/27/bad-luck-may-have-caused-neanderthals-extinction-study

But why were their populations so small to begin with? Probably because they weren’t smart enough to adapt to the cold so their death rates remained too high for their population to grow. Despite the fact that their short muscular physiques were exquisitely adapted to the cold per Allen’s rule, it was a problem they never fully solved.