Richard Lynn and Tatu Vanhanen did not have a study for Vietnam in IQ and the Wealth of Nations (2002). Then, beginning with their follow-up book, IQ and Global Inequality (2006), Lynn added a bogus study for Vietnam and gave the world’s 13th most populous country a made-up national IQ of 94. In short, Lynn’s dataset does not have an IQ study for Vietnam.
In this post I review two dozen intelligence and achievement test studies for Vietnam and Vietnamese populations living internationally. While IQ in Vietnam is lower than I anticipated, there is evidence that Vietnamese people have high intellectual potential.
The Turks and Caicos Islands is classified as a British Overseas Territory (other examples are Bermuda and the Cayman Islands). It has a population of 32,000, and its demographics are 88% black and 8% white. Like many small Caribbean territories, the Turks and Caicos Islands enjoy a high standard of living fueled by finance and tourism.
Lynn & Vanhanen do not have a study for this territory and, with the exception of Bermuda, they don’t include British Overseas Territories in their full dataset of estimated scores.
In this short post I summarize one study for the Turks and Caicos Islands.
Much like Burma, Cambodia is a populous Southeast Asian country with a toxic authoritarian government, and routinely shows up at the back of human development indices. Richard Lynn’s international IQ dataset likewise does not yet have a study for this country.
Lynn & Vanhanen (2002, p. 74) make an IQ estimate of 89 for Cambodia by averaging together scores from its regional neighbors Thailand (91) and the Philippines (86). IQ and Global Inequality (2006, p. 56) revises this estimate to 91 by averaging together scores from three neighbors: Laos (89), Thailand (91), and Vietnam (94). Lynn & Vanhanen’s most recent update (2012, p. 21) assigns Cambodia an IQ of 92, but it’s not entirely clear why, as this book no longer lists the nations used to generate regional estimates. Presumably it’s the rounded average of Laos (89) and Vietnam (94).
In this post I present several different intelligence studies from Cambodia, as well some data for U.S. immigrants. These studies suggest that Cambodia has one of the lowest IQs in the world, but their achievement test scores in the U.S. exceed blacks and Hispanics.
It must be known that a p-value, or any other statistics based on the Chi-Square, is not a useful number. It has two components : sample size and effect size. Its ability to detect a non-zero difference increases when either sample size or effect size increases. If only sample size increases, even with the other left constant, the statistics become inflated. There is also a problem with the assumption. If it is about the detection of “non-zero” difference, it is of no use if the magnitude, i.e., effect size, is of no importance. I will provide several examples of the dangerosity of the significance tests.
It goes without saying that multiple regression is one of most popular and applied statistical methods. Thus, it would be odd if most practitioners among scientists and researchers do not understand and misapply it. And yet, this provocative conclusion seems most likely.
Because a simple bivariate correlation does not disentangle confounding effects, the multiple regression is said to be preferred. The technique attempts to evaluate the strength of an independent (predictor) variable in the prediction of an outcome (dependent) variable, when controlling, i.e., holding constant, every other variables entered (included) as independent variables into the regression model, either progressively step by step or altogether at the same time. The rationale is to get the effect of an independent variable that only belongs to it. But this is a fallacy.
Burma, also known as Myanmar, has a population of over 60 million, and is the world’s 24th most populous nation. With an authoritarian, military-controlled government, it is also one of the poorest and most dysfunctional places on earth—you will find it nestled together with mostly African countries at the back of most human development rankings.
Richard Lynn’s international dataset does not yet have a study for Burma. IQ and the Wealth of Nations (2002, p. 74) makes an estimate of 86 by averaging together IQ from neighboring India (81) and Thailand (91). IQ and Global Inequality (2006, p. 59) bumps up India’s IQ to 82, which changes the Burma estimate to 87. The latest version of the dataset (Lynn & Vanhanen, 2012, p. 26) assigns a lower IQ to Thailand (88), which means that Lynn’s most recent estimate for Burma is 85.
I was able to locate one published intelligence study for Burma. The results are surprising, but the research contains no obvious flaws. Intellectual potential in Southeast Asia is an issue filled with contradiction and uncertainty.
The American Virgin Islands are a territorial possession of the United States. According to the 2010 census, it has a population of 106,405 and an ethnic composition that is 76% black and 15.6% white. Almost all of the inhabitants live on three main islands: St. Croix, St. John, and St. Thomas. Virgin Islanders, much like Puerto Ricans, are United States citizens, but there has not been a similar push for U.S. statehood in this small territory.
Here I discuss several studies that have looked at the intelligence and academic skills of Virgin Islanders.