Unveiling the truths behind biases in critical decision-making processes has been an enduring challenge in various domains. This reproduction study endeavors to shed light on two intriguing topics: potential bias against education in jury selection and nationalistic judging in the 2000 Olympic diving competition. By rigorously reproducing influential papers and employing sophisticated statistical tools like t-tests and permutation tests, we aim to contribute robust evidence to the ongoing discourse on bias. Our findings challenge prevailing theories by revealing no statistically significant evidence of biases against education in jury selection, providing invaluable insights for policy discussions. Simultaneously, our investigation into nationalistic judging uncovers the presence of bias among certain judges, highlighting the impact on highly competitive events outcomes. As we delve into these compelling issues, our study reinforces the critical importance of impartiality in decision-making processes, offering key contributions to the understanding of biases and their implications in various domains. Our primary purpose in this paper is to precisely test the reproducibility of the methods employed in the original influential papers. By carefully reproducing their analyses using advanced statistical techniques like t-tests and permutation tests, we find that the reproducibility of both papers is quite high.
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Guo et al. (2024) studied this question.
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