Results of the Mann-Whitney U test and t-test for the inequality of the computed three forms of iterated algorithmic bias based on the different probability levels of human action.

Here, effect size is computed as ES = (Gini|t = 0 − Gini|t = 200)/standard.dev. Bold means the significance at p

此处，效应量（effect size）的计算公式为：ES = (t=0时的基尼系数（Gini） − t=200时的基尼系数（Gini）)/标准差（standard.dev）。结果以加粗格式标注表示在p值水平下具有统计学显著性。