Previous analyses have identified a strong inverse correlation between Indigenous ancestry and both academic achievement and socioeconomic outcomes in Canada. Similar patterns are anticipated in Alaska and Greenland. While evidence supports this trend in Alaska, the situation in Greenland remains unclear.

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In the previous post, we noted that across Canada—and within individual provinces and territories—Métis, First Nations, and Inuit populations tend to underperform relative to non-Indigenous Canadians. To illustrate this, Table 1 presents average PIAAC literacy and numeracy d-values comparing Aboriginal and non-Aboriginal individuals whose mother tongue matches the language of the test (English or French), disaggregated by province and territory where data are available. Higher positive d-values indicate worse performance among Aboriginal groups. While the magnitude of the gaps varies by region, the disparities are consistently present.

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Demographic Change and Cognitive Variation

Canada is rapidly diversifying as a result of relaxed immigration policies. According to the 2021 Census, individuals of European ancestry now constitute approximately 67% of the population, down from 83% two decades earlier. The largest non-European groups include East Asians (9%), South Asians (7%),  Aboriginal peoples (6%), and Black Canadians (4%). The pace of demographic change has outstripped genetic survey estimates. For instance, Ancestry.com still reported over 90% European ancestry in Canada as recently as 2017, whereas the true proportion is now likely under 70%. Despite this shift, geographic variation in socioeconomic and cognitive outcomes continues to correlate strongly with European and Amerindian ancestry proportions. This post provides an overview of Aboriginal demographic distributions and cognitive performance in Canada.

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In Canada, longstanding differences in cognitive ability and academic achievement exist between the European-origin majority and several traditional minority ethnic groups established prior to the mid-20th century. In particular, Aboriginal populations (First Nations, Inuit, and Métis) and the historically rooted Black Nova Scotian population tend to score below the national average on various educational metrics. Meng Hu and I recently published findings based on data from 2013 to 2022 indicating that Black Nova Scotians score, on average, d = –0.46 below the non-Black Nova Scotian mean (Fuerst & Hu, 2024).

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The Cayman Islands, a British Overseas Territory, boasts one of the world’s highest standards of living and per capita GDP, largely due to its status as a major tax haven. Its average Human Development Index (HDI) from 2010, 2015, and 2020 was 0.876 (Economic and Statistics Office, 2021), compared to the United Kingdom’s 0.919 over the same period—both rated as very high human development. The 2021 census recorded a population of 68,811, with 53% identified as Caymanian residents, of whom only 62% were born on the island. These demographic shifts, detailed in Figure 1, complicate efforts to estimate ancestry proportions.

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Although my colleagues are international, their research predominantly focuses on differences within the USA, a tendency I find perplexing. Years ago, at an LCI conference, a British colleague asserted that further research on ethnic or racial differences was unnecessary, claiming the matter was settled. Yet, within a year, he contacted me seeking data on the performance of various ethnic groups in the UK. Similarly, a French colleague, whose work almost exclusively examines differences in the USA, argued that such data was unavailable in France. However, after just ten minutes of searching, I located several French government reports detailing the performance of first- and second-generation immigrants by region of origin. Evidently, he didn’t try too hard. In my view, a logical approach, if one were to pursue this topic seriously, would involve first collecting a broad international dataset—potentially requiring effort such as submitting freedom of information requests—then identifying patterns, and finally hypothesizing about possible causes. After all, the USA is not the world, and we should not assume it reflects global trends. The lack of such comprehensive data is why I remain largely agnostic about the existence of worldwide race differences in cognitive ability, and even more so about their causes

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France governs three overseas departments in the Americas—French Guiana, Guadeloupe, and Martinique—along with three overseas American collectivities: Saint Barthélemy (St. Barth), Saint Martin, and Saint Pierre and Miquelon. The populations of these territories display a rich diversity of ancestries, making them an interesting case study.

Saint Pierre and Miquelon, located off the coast of Canada, has a population of approximately 5,819 and is the most European-influenced of France’s overseas territories. Its residents are primarily descendants of French settlers from Normandy, Brittany, and other regions, supplemented by recent migrants from metropolitan France. Saint Barthélemy, a small Caribbean island that separated from Guadeloupe in 2007, has a population of around 10,000. Although France does not officially collect ethnic or racial data, visual observations of children in local primary schools and at festivals suggest the population is roughly 80% of European ancestry (mostly French), 15% of African ancestry, and 5% of other origins. This aligns with historical settlement records, which indicate a majority of French descent.

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Academic papers’ abstracts are sometimes manipulated to display what is seemingly a good result. Alternatively, abstract conclusions are affected by faulty statistical analyses. The large profits in online publishing, especially the open-access (OA) type, are largely (but unfairly) criticized, with endless calls for regulation. In reality, the problem of monopolistic prices and quasi-monopolistic status of the most prestigious online publishers is not due to lack of regulation, but due to a combination of copyright law, OA mandates, and moral hazard driven by subsidies.

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