You are digging in deeper than I did. Ha. I have thought about the possibility of having a limit on extreme outliers but then it brings into question 1) What if the outlier is right this time? 2) Where do we draw the line on what Outlier is? 20 degrees different than the next closest member? I think a good example of skewed distribution is the snow fall member maps I posted yesterday. I think most people understand this, but it is very clear example of the issue in using ensemble snow means to predict much...the snow means that matches these members was 3-4" through much of the LSV but only 6-7 of the 30 members below show that result. The rest show no snow or more in the range of 1-2" (18 in a quick count for 1-2") but the gigantic outputs of P26, P23, P03, and P14 not only cancelled out the ones showing nothing, they double what the majority of 18 show.