I was wondering if anyone had advice on removing outliers. In a practical experiment relative telomere length in DNA samples was measured in duplicate. Expected values are around 1, and the peak of samples between 0.0-0.5 are fairly certain failed samples. Since this data isn't normally distributed and the samples are likely fails, I was looking for a valid method to get rid of obvious outliers. Any advice how to do this for this data? I have tried Median Absolute Deviation already, but the peak remains.