"In D, .1 will be set as the "global min" but it is a mistake and 1500 should be set as the true global min."

How do you know (or how and when did you decide) that 0.1 is an error? How should we know that? Pls see I know what I mean. Why don't you?

In the same vein [ more or less... :-) ] how much will you allow your data set to vary (range) before wanting a value treated as an outlier and removed? IOW, is the judgement statistical-arithmetic or is it subjective?