I liked this work a lot: The idea is simple, but the result is non-intuitive, and its consequences are essential. The results were so non-intuitive for me that first I didn’t want to believe it, so I made a similar script in Python to check the simulation, and I found the very same results. I think everyone working with distance effect as an index for individual differences and calculating correlations (especially in meta-analyses) should consider this result in their work, because without these considerations one might miss the real phenomena or can get a biased one.

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