Results of the Mann-Whitney U test and t-test comparing the size of the class-1-blind spot for the three forms of iterated algorithmic bias.

Bold means significance at p<0.05. The effect size is (BlindSpot|t = 0 − BlindSpot|t = 200)/standard.dev. The negative effect size shows that filter bias increases the class-1-blind spot size. For active learning bias, the p-value indicates the significance, however the effect size is small. Random selection has no significant effect.