  I propose the Dominicy-Hill-Worton estimator to estimate the current climate
niche of Homo Sapiens and our croplands. I use this to extrapolate the degree
of unprecedentedness of future climates. Worton's peeled hull is a
non-parametric, N-dimensional generalization of order statistics. Dominicy and
colleagues show that Hill's estimator of the tail-index can be applied to any
homogeneous function of multivariate order statistics. I apply the
Dominicy-Hill estimator to transects through Worton's peels. I find a thick
tail for low temperatures and a thin tail for high ones. That is, warming is
more worrying than cooling. Similarly, wettening is more worrying than drying.
Furthermore, temperature changes are more important than changes in
precipitation. The results are not affected by income, population density, or
time. I replace the Hill estimator by the QQ one and correct it for
top-censoring. The qualitative results are unaffected.
