Abstract
The educational enterprise is not omnipotent and is heavily constrained by natural, socioeconomic and pedagogical factors. The present research aims to study the state of the production and distribution of scientific and mathematics knowledge worldwide using the Programme for International Student Assessment (PISA) 2018 big data bank. The first finding is that the distribution of this knowledge shows that about two-third of the world's population belongs to quality groups one, two, and three, representing the low-achieving section of the proficiency scale. The second finding is that there is practically no sign of domain specificity. Thus, the learning problems do not reside in the curriculum but in some higher cognitive factors such as general intelligence or developmental stage. It is high time to adopt educational policies oriented toward the real world rather than an aspired one. Keywords: PISA 2018, scientific literacy, quality groups, proficiency distribution, educational efficiency, individual differences.
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