Hi Rick,
Yes, I remember. My comment to that was that I suspect the same effect is occurring...but at the high end 1's become values that though less than one- are still outliers. The kicker is that you are using up some headroom at the top end to reject the edges (statistical rejection, not range) that could have been left for "real" outliers. The large fluctuations on the low end are much less likely- so zeros make sense to me. Nonetheless, it is also a great demonstration of what the large scale rejection rejection feature is doing.
-adam