A cross‑country analysis (81 countries, PISA 2006–2025) suggests that fluctuations and persistent gaps in national PISA scores are strongly associated with measures of childhood prosperity; when comparing country EA polygenic scores and economic conditions, much of the PGS–PISA correlation is attenuated by prosperity differences.
— If childhood material conditions explain a large share of international education performance and mediate genetic associations, policy should focus more on early‑life socioeconomic interventions rather than deterministic genetic explanations.
Davide Piffer
2026.09.10
100% relevant
Author’s 81‑country analysis of PISA (including documented 2022–2025 declines in multiple OECD countries) combined with country‑level educational‑attainment polygenic scores (EA4) and non‑immigrant subgroup checks.
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