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The correlations between cohorts will still be very good (after all, IQ is strongly hereditary, and the quality of the environment will itself tend to be strongly correlated to average IQ).

The following documents/dataset refers refers to the first round of PIAAC: Unfortunately, I have been unable to data for the later countries in one place, though I haven’t looked very hard.

It appears that the next round of PIAAC will take place in 2020.

The pessimistic but plausible explanation that comes to mind is endemic corruption and nepotism. In particular, we need a more serious, in-depth analysis of the PIAAC data.

Conversion of disparate tables floating about in PDF and Excel format on the Internet into one database. In general, greater focus on tracking IQ across all relevant dimensions (nations; subregions; time; cohorts), so to enable deeper, finer-grained economic/demographic analysis.

Sociological observation of questionable validity: The three laggards here, the US, Russia, and the UK, are all especially (in)famous for developing a sizable lumpenproletariat class during this period (respectively, white/trailer trash, gopniks, and chavs).

The Germanic lands – or perhaps countries characterized by the authoritarian family model – are characterized by significantly brighter males, while the Latin and Slavic lands lean in the other direction.

GDPcc correlations), they are far less reliable particular countries.

That’s why I’m a big fan of the OECD’s PISA assessments, which are highly standardized, have large samples from similar age groups, take place concurrently once every three years, test those aspects of intelligence most intuitively relevant to economic success (i.e. All these IQ maps that you see today are almost entirely based on testing children/teenagers from the current year to 1948, the earlier year on David Becker’s database as of now (although with attempts to correct them through reference to contemporary UK standardization samples).

application of numeracy and literacy skills in novel situations), and enjoy strong face validity (i.e. PISA and TIMSS are rather tidier, with large, representative samples of teenagers getting tested at set ages and at set years.

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