Race Hustlers on Reddit are spreading misinformation on /r/”science” again

/r/science on reddit is having a race hustler thread where cathedral academics are telling everyone the same tired nonsense that differences in outcomes between groups are caused by SES and discrimination by white men. I decided it would be valuable to post an excerpt from my book which discusses the left wing bias in academia because there is a lot of it and I don’t think these people should get a free pass on spreading misinformation like this. If you have a reddit account, I think it would be a good idea to go in and counter these false claims. There is plenty of evidence that IQ differences have genetic causes, and that thread should be littered with links to it.

Since the probability that my comments will be removed is high, I decided to make a copy of them here [edit: I checked and as expected the comments are already removed. Check out this site which saves all the removed comments. Notice a pattern? Edit2: Apparently this thread was made because high level progressives in science journals or media demanded it in order for the sub to have advance access to new announcements of interesting research. In other words, spread our ideology and we will give you insider access and other perks.]:

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IQ is the single best studied and understood psychological trait. It has been studied for over 100 years and has consistently found that the black/white IQ gap on average is about 15 points. It has also found that the male distribution is significantly more variable than the female curve. What this means is that among the smartest people, those most likely to do well in science, the population is about 2 males for every 1 female. Intelligence level has been shown to be mostly determined by genetics. You can see a large compilation of studies and findings which demonstrate how strongly genetic intelligence and other traits are here. These innate IQ differences explain the differences in outcomes of different populations of humans without needing to resort to unfalsifiable and unscientific concepts like “white privilege” or bias.

I gave you enough links above to start on this. Instead of repeating this easily findable information, I am going to talk about the progressive/far left wing bias that exists in academia. This bias seriously undermines the credibility of race and gender hustlers who try to use credentialism to support untrue opinions about white/male privilege. For an independent opinion, see the website of liberal social psychologist Jonathon Haidt where he and others admit to and discuss the problems caused by this progressive bias.

I wrote a book on gender differences in intelligence called smart and sexy, and it cites hundreds of studies which together confirm and explain why gender differences in outcomes exist and that they are mostly biological in origin. You can find a wealth of data in there for biological mechanisms. However, I also took the time to analyze the current state of academia and what I found was extremely troubling. Below is an excerpt of a section of that book. Remember that the focus of the book is on gender, but this left-wing bias also applies to claims about race.  Citations for all my claims will be at the end.

Saying that the academic community has a large progressive bias is a very strong claim and such an extraordinary claim requires extraordinary evidence. So what is known about the “scientists” who publish “research” in politically charged areas? Diederick Stapel was previously a highly regarded and influential Dutch social psychologist who did a lot of work on stereotype threat until it came to light that he “routinely falsified data and made up entire experiments.” Another example of his politically biased work was a “scientific” article which sanctimoniously claimed to find that meat eaters were more selfish and less agreeable than vegans. Unfortunately, it is impossible to be surprised by outspoken priggishness from vegans and their sympathizers.

Thanks to this media attention, Stapel is now the most notorious charlatan in the field of social psychology, which is saying a lot for what appears to be a regularly fraudulent and pseudo-scientific discipline. Social Psychologists as a group do not make the data they collect available for outside review 2/3rds of the time. This stinginess with data is actually against the ethical rules established by social psychologists themselves and suggests that there are likely many more Stapels out there who simply haven’t been caught. A survey by the Harvard business school found that 70% of social psychologists admitted to cutting corners in reporting data, 30% reporting unexpected findings as if they were expected from the start, and 1% admitted to falsifying data.

Another meta-analysis of papers published in high-tier psychology journals found that 50% of papers surveyed contained at least one statistical error and 15% contained an error so severe that the conclusion drawn would have had to have been reversed.i, ii A meta-analysis which looked at whether or not positive results from stereotype threat studies could be replicated found that almost half could not, and that a further 25% were confounded by methodological issues.iii Methodological issues, especially in determining statistical validity, have even been used by one Social Psychologist to publish in a major, respected journal that he had proven the existence of psychic ability. His finding used standard statistical practices in psychology and resulted in heavy criticism by professional statisticians of both the specific paper and the psychology community generally.iv

This high publicity criticism led to a fair degree of soul searching among the psychological community and led some researchers to undertake the task of evaluating how widespread these problems are. One analysis reviewed articles from the last 100 years in the top 100 journals based on the impact factor; a measure of the level of influence a paper or journal has on the field. It found that in that time, for the highest impact journals, only 1% of all research findings in psychology had ever been replicated. Of that 1%, only 14% were in fact direct replications. The rest tested similar hypotheses under different conditions. However, successful replications themselves have to be received critically. Half of the 1% of replications had authors from the original study; this is troubling because the presence of the previous author greatly impacts the chance of positive replication and implies bias might be playing a role. 92% of replication studies with an author from the original paper confirm the original result, while only 65% of replications by independent researchers confirm the original finding.v

Problematic methodology isn’t the only issue in psychology. Ideological bias is rampant in the humanities generally, but especially in social psychology; both among individual researchers and among the journals publishing papers. Beyond the lack of objective critical evaluation of papers, the field itself is essentially an ideological and political echo-chamber that is considerably more left-wing politically than the general population. 80% of social psychologists identify as liberal, while only 3 out of 1000 identify as conservative. Contrast this with the general population which is 40% conservative and only 20% liberal; the remainder being moderate or apolitical. Looking through all social sciences, the ratio of liberals to conservatives varies from 8:1 to 30:1.vi Were these sorts of numbers occurring with an ideologically designated protected class, these same social psychologists would be the first to use it as incontrovertible proof of discrimination.vii, viii

Considering what is now known about the biological origins of cognition and intelligence (discussed in more detail in future sections), it is generally difficult to take claims of discrimination seriously when underrepresented groups also display relatively lower intelligence profiles. However, in this case there is no reason to think that conservatives as a group have an intellectual profile below the general population. Social conservatives tend to be a little lower in intelligence relative to liberals, but free-market conservatives (libertarians) tend to be smarter than liberals. Being very partisan, either liberal or conservative, tends to be associated with high IQ as well.ix Increased income levels, which are a proxy for IQ, also moves people right ideologically.x In other words, there is nothing that biologically determined intelligence can do to explain the lack of conservatives, and even moderates, in the humanities.xi

In a survey of social psychologists, it was found that conservative respondents feared negative consequences from revealing their political affiliation and that they were right to do so as liberal respondents expressed willingness to discriminate against conservatives in approving papers, grant proposals, and hiring decisions.xii The more liberal a social psychologist is or the more consequential the decision would be for the conservative, the more willing liberal social psychologists are to discriminate.

The temptation . . . to advance a political agenda is too often indulged in sociology, especially by activist faculty in certain fields, like marriage, family, sex, and gender . . . Research programs that advance narrow agendas compatible with particular ideologies are privileged . . . the influence of progressive orthodoxy in sociology is evident in decisions made by graduate students, junior faculty, and even senior faculty about what, why, and how to research, publish, and teach . . . The result is predictable: Play it politically safe, avoid controversial questions, publish the right conclusions…

[Compared to conservative sociologists] Politically-correct sociologists enjoy certain privileges in a very politically conscious and liberal discipline. They can, for example, “paint caricature-like pictures based on the most extreme and irrational beliefs of those who differ from them ideologically without feeling any penalty for doing so,” and “can systematically misinterpret, misrepresent, or ignore research in such a manner as to sustain [their] political views and be confident that such misinterpretations . . . are unlikely to be recognized by [their] colleagues” [Social science researchers believe] “that social science should be an instrument for social change and thus should promote the ‘correct’ values and ideological positions”vi

With this sort of cultural climate, exploring gender differences, or even just acknowledging that such differences exist is extremely difficult for professional scientists to do today. The pattern of ideologically driven academics significantly undermines the ability of an objective outsider to trust the conclusions coming out of certain fields, especially when it is related to such a politically charged subject as gender (and race) differences in test scores. It is quite clear that the overwhelming majority of researchers working on this topic possess a politically desired outcome of these studies. The great potential for this systemic Lysenkoism to motivate the production of inaccurate results and interpretations contrary to reality can’t be overestimated. The objectivity of the field in concluding stereotype threat is a real and large effect phenomenon in particular is highly questionable.

Calling cynical skepticism of the social sciences “anti-intellectual,” a common criticism directed towards conservative thinkers, is only so in the sense that these “scientists” have misdefined the word “intellectual” to describe their political ideology and therefore themselves. It is quite conceivable that the modern attitudes described as “anti-science” attributed to conservatives are fundamentally merely a non-inevitable reaction to what can only be described as pseudo-science being published by leftist activists in academia; and stereotype threat is just one example of peer-reviewed pseudo-science.xi

Certainly in some cases there are conservatives that legitimately hold anti-scientific views, such as in the case of evolution generally. But when it comes to evolution of the human species specifically, many liberals are just as anti-scientific as the most hardcore creationist. The main difference is that the left, being dominant in state institutions and having ample government funding, has the power to enforce idealism contrary to reality while most conservatives do not have symmetric influence. This asymmetry in power makes leftist anti-reality beliefs of far greater concern and consequence than the equivalent conservative anti-reality beliefs.

For the average person, it isn’t so hard to notice some of the more egregious examples of leftist pseudo-science. Since most people do not have the time or energy to independently evaluate every pronouncement from every field coming out of the scientific community, it is more efficient (and natural) to use a quick short-hand, or stereotype, to extrapolate from a more narrow range of data for which they do have time and interest to look into. If their interest happens to be in an area replete with pseudo-science, and that’s likely because politically controversial areas are both the most likely to be interesting and to contain pseudo-science, then they have found themselves an extraordinary indicator of dishonesty which they then extrapolate from.

As a consequence of general distrust, society is more likely to develop unreasonable movements like that against vaccinations. It is not reasonable for the scientific community to expect the average person to evaluate every single scientific finding themselves. They have real lives that do not, and should not, have to deal with academic politics. Therefore, scientists need to do a better job rooting out bias, and especially liberal bias, in their fields so the public can actually trust what they say. If academics want to be trusted, they first must be trustworthy because trust, for institutions as much as individuals, must be earned.

I don’t mean to be misinterpreted when I point out these biases in scientific research. To their credit, the main people who have identified and raised alarm about the bias against non-liberals in academic papers have themselves been liberal social psychologists such as Jonathon Haidt. In fields that are outside of the social sciences or on the periphery, real bravery is often demonstrated in their defiance of orthodoxy. Perhaps my favorite treatment of Cultural Marxism came from a paper which starts by stating “putting aside political correctness” and then continues on to discuss multiple heretical topics and never references it again. Political correctness is mentioned only long enough to dismiss it as the irrational and fallacious sentiment that it is. This is a hopeful sign, but it must be noted that no serious efforts to actively alleviate the problem within the social sciences beyond talking about it have so far been undertaken.

I have a great respect for science generally and see it as the best method so far developed by humans to separate truth from fiction, at least when the core principles of scientific philosophy are actually followed. But the scientific establishment is still a human institution and therefore fallible. The community at times moves unacceptably far away from its core principles and this usually happens when research topics might have strong implications for an over-arching political ideology. The Lysenkoist effect of an overwhelmingly liberal character is just one problem. Another is that senior research scientists often spend as much or more time begging for money than they do actually trying to discover truth. Whether or not they actually get money is often dependent on how much they publish which creates an incentive to publish even if the research isn’t very good. Conforming to the political biases of other researchers thus constitutes a quick way to look better with lower quality research.

From the state of academia, it can be taken that the discrimination hypothesis has a great deal of influence on our current culture and the determination of public policy through the publication of questionable research. If the discrimination hypothesis is only partially true or largely wrong in the present, then social policies based on it are likely to be largely ineffectual and possibly harmful. Intelligence researcher Dr. Wendy Johnson has stated the importance of this possibility with reference to X linked intelligence succinctly,

Values create the emotionally charged climates pervading discussions of sex differences, making it difficult to evaluate scientific data objectively. Values are extremely important and appropriately form the basis of many actions and social contracts. But the laws of nature are not responsible to us or to our values and may not conform to them. It is important to understand the laws of nature as completely as possible within our circumstances in order to actualize our values as we intend. We can only develop coherent and realistic actions and social policies that will actualize our values if we understand the laws of nature as they exist.ii

Wicherts, J. Bakker, M. (2011) The (mis)reporting of statistical results in psychology journals. Behav Res Methods. 43(3): 666–678.

Franklin, K. (2011) Psychology rife with inaccurate research findings. Psychology today. http://www.psychologytoday.com/blog/witness/201111/psychology-rife-inaccurate-research-findings

Stoet, G., Geary, D. (2012) Can stereotype threat explain the gender gap in mathematics performance and achievement? Review of general psychology. Vol 16(1), 93-102

Wagenmakers, E., Wetzels, R., Borsboon, D., Van der Mass, H. (2011) Why psychologists must change the way they analyze their data: the case of psi: Comment on Bem. Journal of Personallity and Social Psychology. Vol 100(3). 426-432.

Makel, M., Plucker, J., Hegarty, B. (2012) Replications in psychology research: How often do they really occur? Perspectives on psychological science.Vol 7(6). 537-542.

Redding. R. (2013) Politicized Science. Society. Vol 50(5), 439-446

Haidt, J., Post-Partisan Social Psychology. http://people.stern.nyu.edu/jhaidt/postpartisan.html

Tierny, J. (2011) Social Scientist Sees Bias Within. New York Times. http://www.nytimes.com/2011/02/08/science/08tier.html?_r=5&ref=science&

Kemmelmeier, M. (2008) Is there a relationship between political orientation and cognitive ability? A test of three hypotheses in two studies. Personality and Individual Differences.Vol 45(8), 767–772

Morton, R., Tyran, J., Wengström, E. (2011) Income and Ideology: How Personality Traits, Cognitive Abilities, and Education Shape Political Attitudes. Univ. of Copenhagen Dept. of Economics Discussion Paper No. 11-08. Available at SSRN: http://ssrn.com/abstract=1768822 or http://dx.doi.org/10.2139/ssrn.1768822

Duarte, J., Crawford, J., Stern, C., Haidt, J., Jussim, L., Tetlock, P. (2014) Political Diversity will Improve Social Psychology. Behav Brain Sci. Vol 18. 1-54

Inbar, Y. & Lammers, J. (2012).  Political diversity in social and personality psychology.  Perspectives on Psychological Science, 7, 496-503.

Abramowitz, S. I., Gomes, B., Abramowitz, C. V. (1975), Publish or Politic: Referee Bias in Manuscript Review. Journal of Applied Social Psychology, 5: 187–200. doi: 10.1111/j.1559-1816.1975.tb00675.x

Ceci, S. J., Peters, D., Plotkin, J. K., Alan E., (1992). Human subjects review, personal values, and the regulation of social science research. Methodological issues & strategies in clinical research., American Psychological Association, 687-704

Crawford, J. T, Jussim, L., Cain, T. R., Cohen, F.  (2013).  Right-wing authoritarianism and social dominance orientation differentially predict biased evaluations of media reports.  Journal of Applied Social Psychology, 43, 163-174.

Munro, G. D., Lasane, T. P. and Leary, S. P. (2010), Political Partisan Prejudice: Selective Distortion and Weighting of Evaluative Categories in College Admissions Applications. Journal of Applied Social Psychology, 40: 2434–2462. doi: 10.1111/j.1559-1816.2010.00665.x

Rothman, S., Lichter, S. R., Nevitte, N. (2005) Politics and Professional Advancement Among College Faculty. The Forum. Vol 3(1). Article 2.

Harvard sex row and science. BBC News. Jan 18, 2005. http://news.bbc.co.uk/2/hi/uk_news/education/4183495.stm

Lallensack, R. (2014) UW to host first feminist biology post-doc program in the nation. The Badger Herald. http://badgerherald.com/news/2014/04/21/madison-host-first-feminist-biology-post-doc-program-nation-rl/#.VO5GIS6GN8H

Pinker, S. (2009  Letter from Steven Pinker to Aarhus University in defence of Prof. Nyborg, December 9, 2009. http://www.helmuthnyborg.dk/Letters-Of-Support/PinkerLetter.pdf

Nyborg, H. (2013) Danish Government Tries to Censor Science it Doesn’t Like. American Renaissance, November 14, 2013 http://www.amren.com/news/2013/11/danish-government-tries-to-censor-science-it-doesnt-like/

Thompsom, J., (2013) Helmuth Nyborg gets Watson’d. Psychological Comments. http://drjamesthompson.blogspot.com/2013/11/helmuth-nyborg-gets-watsond.html

Nyborg, H. (2003) “The Sociology of Psychometric and Bio-behavioral Sciences: A Case Study of Destructive Social Reductionism and Collective Fraud in 20th Century Academia.” The Scientific Study of General Intelligence: Tribute to Arthur R. Jensen.

Nyborg, H., The Greatest Collective Scientific Fraud of the 20th Century: The Demolition of Differential Psychology and Eugenics. The Mankind Quarterly. University of Aarhus (Retired, 2007)

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Stereotype threat and pseudo-scientists

The politically acceptable explanation for gender differences in intelligence studies and tests is that discrimination accounts for all current disparities between men and women in intellectual Fields, starting first and foremost with the standardized tests themselves. The question is: does the data support this? The most fashionable (possibly faddish) explanation for test differences between gender (and race) come from social psychology and is termed ‘stereotype threat’. Stereotype threat is a type of implicit discrimination that is supposed to result from traditional stereotypes based on the gender of test takers. It is supposedly all pervasive throughout society, and constantly present everywhere you are. This obscure and unfalsifiable ether is supposed to depress the scores of females in tests. Society has historically held that women were not as intelligent as men. Stereotype threat proponents argue that knowledge of this history combined with the manner in which questions are designed and phrased leads to lower test scores for women in a sort of self fulfilling prophecy.

It is important to consider who should be affected by stereotype threat and other types of discrimination and what kind of pattern in the distribution of scores should result if it was having a widespread impact. Discrimination of this type is assumed to be universal and omnipresent. It is supposed to be present in both the society at large as well as in the test that all students are taking. If it is universally present then it should have a universal effect. It should affect women equally at all levels of test taking proficiency and should result in a uniform downward shift of the score distribution compared to men. In the graph below, hypothetical male and female test score distributions are super-imposed and the expected influence of stereotype threat is shown. The male distribution does not have as high a peak and extends out farther in either direction to reflect the greater male variability in scores found in virtually all IQ tests. I am not the best artist so you will have to forgive me if it isn’t as pretty as it could be.

Hypothetical male and female IQ distributions before and after stereotype threat

Stereotype threat voodoo action from the ether

If it does not fit this pattern, explanations for why women at different test taking levels react differently to stereotype threat must be invented. The more disagreements from this trend, the more explanations that must contrived, and the more parsimony is lost (which generally means a theory is weaker). The difference between average IQ at least suggests that this might be happening, but the 3-5 iq points generally reported is a relatively small difference and mainly suggests that whatever universal influences do exist, their importance must be relatively minor. (However, there is reason to suspect that male IQ advantage is severely underestimated)

The discrimination theory is not the only possible explanation for this overall shift. The difference could just as easily, in fact probably much more easily, be explained by biological differences in brain development. Especially the fact that males in general grow to be larger, which translates into larger brain sizes on average, which for reasons that should be obvious correlates with higher IQ.

The discrimination and biological differences above have one thing in common: they are universal and thus are not good explanations for greater male variance which is the root source of most male/female disparity in the highest levels of achievement. A consistent universal factor should have a consistent universal effect for all levels of ability as shown in the figure above, and the only consistent universal difference in mean IQ scores between gender are small. Assuming stereotype threat is real, which is doubtful, it is not impossible that of the small difference that does exist, stereotype threat only makes a small contribution in addition to other factors like biological development. In such a case, the individual contribution of stereotype threat would be vanishingly small and would approximate complete irrelevance.

In the case of gender, stereotype threat is pretty much ruled out for the above reason. However, racial gaps do take a form that would be consistent with the idea of Stereotype threat. However, there are other reasons why it is also doubtful in the case of race. For more exploration on why conclusions drawn from stereotype threat studies are doubtful for methodological reasons, I recommend this paper by law professor Amy Wax: Stereotype Threat: A case of overclaim syndrome? (I have a special love for this paper because insisting on using it in the sex and intelligence wikipedia page years ago is what brought down a flock of feminist harpies who eventually got not only the paper, but also my user account banned from wikipedia.) Seems like Wax really likes sticking her neck out and fighting the good fight.

At best, stereotype threat is something that exists and has only a very small effect and at worst it is an example of publication bias amongst journals where positive results that support politically progressive ideas (like discrimination against women) are overwhelmingly published relative to studies that don’t confirm progressive beliefs or which might positively refute progressive beliefs.

Diederick Stapel was previously a highly regarded and influential Dutch social psychologist who did a lot of work on stereotype threat, among other things, until it came to light that he “routinely falsified data and made up entire experiments.” Another example of his politically biased work was a “scientific” article which sanctimoniously claimed to find that meat eaters were more selfish and less agreeable than vegans. Unfortunately, it is impossible to be surprised by outspoken priggishness from vegans. Thanks to this media attention, Stapel is now the most notorious charlatan in the field of social psychology, which is saying a lot for what appears to be a regularly fraudulent and pseudo-scientific discipline. Social Psychologists as a group do not make the data they collect available for outside review 2/3rds of the time. This stinginess with data is actually against the ethical rules established by Social psychologists themselves and suggests that there are likely many more Stapels out their who simply haven’t been caught. A survey by the Harvard business school found that 70% of social psychologists admitted to cutting corners in reporting data, 30% reporting unexpected findings as if they were expected from the start, and 1% admitted to falsifying data. Another meta-analysis of papers published in high-tier psychology journals found that 50% of papers surveyed contained at least one statistical error and 15% contained an error so severe that the conclusion drawn would have had to have been reversed. Yet another meta-analysis which looked at whether or not positive results from stereotype threat studies could be replicated found that almost half could not, and that a further 25% were confounded by methodological issues. A substantial majority of the findings were unreliable.1,2,3

Bias is rampant in the humanities, but especially in social psychology, both among individual researchers and among the journals publishing papers. Beyond the objective critical evaluation of papers, the field itself is essentially an ideological and political echo-chamber that is considerably more left-wing politically than the general population. 80% of social psychologists identify as liberal, while only 3 out of 1000 identify as conservative. Contrast this with the general population which is 40% conservative and only 20% liberal. Were these sorts of numbers occurring with a protected class, these same people wouldn’t hesitate to use it as incontrovertible proof of discrimination. Considering what is now known about the biological origins of cognition and intelligence, it is generally difficult to take claims of discrimination seriously when groups also display a relatively lower intelligence profile. However, in this case there is no reason to think that conservatives as a group have an intellectual profile below the general population. Social conservatives tend to be a little lower in intelligence relative to liberals, but free-market conservatives (libertarians) tend to be smarter. Being very partisan, either liberal or conservative, tended to be associated with high IQ as well. Increased income levels, which are a proxy for IQ, also moves people right ideologically. In other words, there is nothing that differentials in biologically determined intelligence can do to explain the lack of conservatives, and even moderates, in the humanities.4,5,6,7 Presumably academia wasn’t always so partisan, and thus its current state is a classic case of successful entryism.

In a survey of social psychologists, it was found that conservative responders feared negative consequences from revealing their political affiliation and that they were right to do so as liberal responders expressed willingness to discriminate against conservatives in approving papers, grant proposals, and hiring decisions. The more liberal a social psychologist is or the more consequential the decision would be for the conservative, the more willing liberal social psychologists are to discriminate. That willingness to discriminate against (or for) articles and proposals for ideological reasons has been empirically confirmed in several instances. In one study, reviewers were sent a manuscript which purported to show the mental health of a group of leftist political activists compared to a control group. Reviewers who were sent a version which showed that the activists had better mental health consistently felt that the paper was more publishable and even felt that the statistics were more adequate than reviewers sent a version that showed the activists had lower mental health. In another case, a research proposal which either wanted to study discrimination or reverse-discrimination was sent to 150 review boards. The proposal on discrimination was approved twice as often as the proposal on reverse-discrimination. In college admissions, it was found that reviewers would attach greater value to the criteria (grades vs. test scores) which would allow them to pick the candidates with similar partisan politics. Lastly, controlling for research productivity and academic achievement, another study found that conservative researchers were working at lower quality institutions relative to equivalent liberal colleagues than would be expected. The irony that a group which commonly publishes on the asserted negative consequences of discrimination would prove to itself be extraordinarily discriminatory is stunning.8,9,10,11

The pattern of ideologically driven academics significantly undermines the ability of an objective outsider to trust the conclusions coming out of certain fields, especially when it is related to such a politically charged subject as gender (and race) differences in test scores. It is quite clear that the overwhelming majority of researchers working on this topic possess a politically desired outcome of these studies. The great potential for this systemic Lysenkoism to motivate the production of inaccurate results which are contrary to reality can’t be overestimated. The objectivity of the field concluding stereotype threat is a real and large effect phenomenon is highly questionable. Calling this cynical skepticism “anti-intellectual,” a common criticism of conservative thinkers, is only so in the sense that these “scientists” have mis-defined the word “intellectual” to describe their political ideology and therefore themselves. Like most things on the right the “anti-science” feeling exposed by some is just a reaction to leftist entryism in academia and the dominance of pseudo-scientific articles surrounding politically partisan topics.

  1. Can stereotype threat explain the gender gap in mathematics performance and achievement? Stoet, Gijsbert; Geary, David C. Review of General Psychology, Vol 16(1), Mar 2012, 93-102. http://dx.doi.org/10.1037/a0026617
  2. The (mis)reporting of statistical results in psychology journals. Marjan Bakker and Jelte Wicherts. 2011. Behavior Research methods.
  3. Psychology rife with inaccurate research findings. Psychology today. 2011
  4. Jonathon Haidt’s post-partisan psychology page.
  5. Social scientist sees bias within. New York Times. 2011
  6. Is there a relationship between political orientation and cognitive ability? A test of three hypotheses in two studies. Markus Kemmelmeier. 2008
  7. Income and Ideology: How personality traits, cognitive abilities, and education shape political attitudes. Rebecca Morton. Jean-Robet Tyran. Erik Wengstrom.
  8. Political Diversity in social and personality psychology. Yoel Inbar, Joris Lammers. 2012
  9. Publish or politic: Referee bias in Manuscript review. Stephen Abramowitz, Beverly Gomes, Christine Abramowitz. 1975
  10. Human subjects review, personal values, and the regulation of social science research. Ceci, Peters, Plotkin 1985.
  11. Political Partisan Prejeduce: Selective Distortion and weighting of Evaluative categories in college admission applications. Munro, Lasane, Leary.
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