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Re:When Robustly Tolerable Beats Precariously Optimal by nonrandomstring on Friday March 08, 2024 @07:53AM (#39640612)
> measured all of them and the ones within 0.5% get marked up and put in the 0.5% bin, and the remaining ones within 1% tolerance get marked up less and get put in the 1% bin. As a result, the distribution is bimodal on either side of the "hole" in the middle.

That's a great explanation of how iterative tolerance filtering works and why that happens!

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