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Race Differences in Intelligence (book)

Race Differences in Intelligence (book) is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Race Differences in Intelligence (book) rather than just read about it. In short: Race Differences in Intelligence: An Evolutionary Analysis is a 2006 book by controversial race and intelligence writer Richard Lynn. The book reviews selected literature on IQ testing and argues that genetic racial differences exist, with a discussion of the causes and consequences.

Race Differences in Intelligence (book) — main illustration
Race Differences in Intelligence (book) — illustration

Key takeaways

  • Race Differences in Intelligence (book) belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Race Differences in Intelligence (book) to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Race Differences in Intelligence (book) from memory before moving on to harder problems.

Reference excerpt

Race Differences in Intelligence: An Evolutionary Analysis is a 2006 book by controversial race and intelligence writer Richard Lynn. The book reviews selected literature on IQ testing and argues that genetic racial differences exist, with a discussion of the causes and consequences. Reviews of the book fault the selection of data used, the methodology, and the conclusions drawn from the data, resulting in criticism that it is "the sort of book that gives IQ testing a bad name."

Summary As with Lynn's and Tatu Vanhanen's 2006 book IQ and Global Inequality, the book was published by Washington Summit Publishers. It was followed in 2008 by The Global Bell Curve. Lynn's survey is an expansion by nearly four times of the data collected in his 2002 book IQ and the Wealth of Nations with Tatu Vanhanen, which dealt with the relationship between IQ and economic development. The book claims to represent the largest collection and review of the global Intelligence Quotient (IQ) data, surveying 620 published studies from around the world, with a total of 813,778 tested individuals. Lynn defines races as the genetic clusters or ancestral population groups identified in previous genetic cluster analysis by Luigi Cavalli-Sforza and his colleagues in their 1994 book The History and Geography of Human Genes. Many current ethnic groups would be mixtures of these races.

Reception Psychology professor J. Philippe Rushton, who argued for many of the same conclusions as Lynn and served with Lynn on the board of the Pioneer Fund, wrote a favorable review and called it Lynn's "crowning achievement". In a 2008 review of the data used in Lynn's book, Hunt and Wittmann write:

"The majority of the data points were based upon convenience rather than representative samples. Some points were not even based on residents of the country. For instance, the "data point" for Suriname was based on tests given to Surinamese who had migrated to the Netherlands, and the "data point" for Ethiopia was based on the IQ scores of a highly selected group that had emigrated to Israel and, for cultural and historical reasons, was hardly representative of the Ethiopian population. The data point for Mexico was based upon a weighted averaging of the results of a study of "Native American and Mestizo children in southern Mexico" with result of a study of residents of Argentina. Upon reading the original reference, we found that the "data point" that Lynn and Vanhanen used for the lowest IQ estimate, Equatorial Guinea, was actually the mean IQ of a group of Spanish children in a home for the developmentally disabled in Spain. Corrections were applied to adjust for differences in IQ across cohorts (the "Flynn" effect), on the assumption that the same correction could be applied internationally, without regard to the cultural or economic development level of the country involved. While there appears to be rather little evidence on cohort effect upon IQ across the developing countries, one study in Kenya (Daley, Whaley, Sigman, Espinosa, & Neumann, 2003) shows a substantially larger cohort effect than is reported for developed countries." A review by Nicholas Mackintosh, Emeritus Professor in the Department of Experimental Psychology, University of Cambridge, expresses astonishment that Lynn infers that Kalahari bushmen, with an average measured IQ of 54, should be regarded as intellectually disabled; and that an 8-year-old European child with the equivalent mental age would have no problems surviving in the same desert environment. Mackintosh questions Lynn's hypothesis that migration to more harsh northern climates and ice ages selected for higher IQ by pointing to harshness of environments such as the Australian Outback. Lynn argues that racial differences in brain size indicates different evolutionary pressure on intelligence. Mackintosh argues that the cranial capacity of early Homo sapiens, 100,000 or more years ago, was rather greater than that of modern Europeans. He criticizes Lynn for reporting data incorrectly, in some cases from studies by Mackintosh himself. He writes: "The errors may not be particularly important, and I do not know how typical they are. But they do not increase my confidence in Lynn's scholarship." He also writes:

A more egregious example is provided by his treatment of the Eyferth (1961) study of two groups of illegitimate children fathered by (mostly) American black and white servicemen and brought up by their (carefully matched) German mothers. Eyferth reported an average IQ of 96.5 for the mixed race children and of 97.2 for the whites. Lynn reduces the former number to 94 to compensate for use of an old test, and compares it, not with the score of the white sample, but with an average IQ of 100 for German children. He is thus able to conclude that the IQ of these mixed race children is half way between that of Americans and Africans. He derives the same conclusion from the Weinberg, Scarr, and Waldman (1992) transracial adoption study since, at the 10-year follow-up, the mixed race children had an average IQ of 94, mid-way between the 102 of the white children and the 89 of the black children. He omits to mention one of the more salient features of this follow-up, namely, that there had been substantial attrition in the white sample—with a loss of those children with lower IQ scores, resulting in an overestimate of the white group's IQ by some 6 points. "Much labour has gone into this book. But I fear it is the sort of book that gives IQ testing a bad name. As a source of references, it will be useful to some. As a source of information, it should be treated with some suspicion. On the other hand, Lynn's preconceptions are so plain, and so pungently expressed, that many readers will be suspicious from the outset." A review by John C. Loehlin, University of Texas Professor emeritus, argues that the general trends in the data that Lynn presents are probably dependable, but faults Lynn for carelessness in how his conclusions are presented. Loehlin summarizes his view of the book as follows:

Is this book the final word on race differences in intelligence? Of course not. But Richard Lynn is a major player, and it is good to have his extensive work on this topic together in one place. Future workers who address these matters under this or any other label will find that Lynn has done a lot of spadework for them. And they will also find that there is plenty to ponder over within these pages.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Race Differences in Intelligence (book)

Start with the simplest possible case. Write down what Race Differences in Intelligence (book) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Race Differences in Intelligence (book) before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Race Differences in Intelligence (book) ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Race Differences in Intelligence (book)

In research
Race Differences in Intelligence (book) appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Race Differences in Intelligence (book) in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Race Differences in Intelligence (book) is common in secondary-school and first-year university syllabi. It links to neighbouring topics 2006 non-fiction books, Books about human intelligence, Books by Richard Lynn, so understanding it makes those chapters shorter.
In everyday life
Look for Race Differences in Intelligence (book) outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Race Differences in Intelligence (book) in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Race Differences in Intelligence (book) means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Race Differences in Intelligence (book) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Race Differences in Intelligence (book) in simple terms?

Race Differences in Intelligence: An Evolutionary Analysis is a 2006 book by controversial race and intelligence writer Richard Lynn. The book reviews selected literature on IQ testing and argues that genetic racial differences exist, with a discussion of the causes and consequences.

Why does Race Differences in Intelligence (book) matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Race Differences in Intelligence (book)?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Race Differences in Intelligence (book).

Tags

  • 2006 non-fiction books
  • Books about human intelligence
  • Books by Richard Lynn
  • Race and intelligence controversy

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