The adaptive tasks and trade-offs that drive the human value system

Human values inform behaviors, attitudes, and beliefs, but what shapes the human value system? Here, we employ Pareto analysis on the European Social Survey data (N = 411,904). Pareto analysis relies on an optimization framework to extract the drivers that shape people's individual variations. We found that individual differences in values are linked to balancing trade-offs between three adaptive tasks: Self-enhancement, Growth, and Conservation. Notably, value combinations that represent non-adaptive trade-off solutions, though considered theoretically possible, are absent from the data. These adaptive tasks are robust across two global samples, multiple countries, different religiosity levels, and age groups. Beyond identifying adaptive tasks, Pareto analysis provided a framework for assessing trade-off shifts across development and religiosity levels. This work paves the way for investigating the tasks' etiology and their underlying mechanisms. More broadly, Pareto analysis offers a principled approach to understanding individual differences in humans, revealing the adaptive tasks and trade-offs that drive complex psychological systems.