Fair, manipulation-robust, and transparent sortition

Proposes the “Goldilocks” equality objective for sortition algorithms that balance fairness, manipulation-robustness, and transparency when selecting representative panels for Citizens’ Assemblies. The algorithm ensures no volunteer receives too little or too much chance of selection, achieving near-optimal performance across competing goals. Empirical testing on real data shows it achieves nearly instance-optimal minimum and maximum selection probabilities simultaneously in most real instances.