@jess remove the 0.1*n highest and 0.1*n lowest data points from the sample.
that's usually good enough for this kind of noisy data

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@jess I don't think it has a name. The jargon would be "removing outliers by dropping the highest and lowest deciles".
(or "10 highest and 10 lowest percentiles"; adapt if you use other constants than 0.1)

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