ArticleiScience2026
Poset sensitivity analysis reveals post 2020 changes in human development index components.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
2 authors.
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Abstract
This study assesses the sensitivity of the Human Development Index (HDI) using partially ordered set (poset) analysis. Unlike conventional methods, such as correlation, dominance, or simulation-based techniques, poset analysis maintains the multidimensional structure of the HDI and captures cases of incomparability, offering a more nuanced understanding of variable influence. Applying this method to HDI data from 1990 to 2023, the analysis shows that expected years of schooling have been the most sensitive variable historically. However, since 2020, life expectancy has gained prominence, particularly during the COVID-19 pandemic, with the greatest impact observed in very high HDI countries. This shift reveals how external shocks can alter the comparative structure of development rankings. By focusing on structural changes rather than marginal effects, poset-based sensitivity analysis provides valuable insights for refining HDI methodology and informing policy strategies. It offers a robust alternative for evaluating indicator influence without relying on arbitrary weighting assumptions.
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