  We compare the latest results from CMB experiments at scales around $l_e \sim
150$ over different parts of the sky to test the hypothesis that they are drawn
from a Gaussian distribution, as is usually assumed. Using both the diagonal
and the full covariance $\chi^2$ test, we compare the data with different sets
of strategies and find in all cases incompatibility with the Gaussian
hypothesis above the one-sigma level. We next show how to include a generic
non-Gaussian signal in the data analysis. Results from CMB observations can be
made compatible with each other by assuming a non-Gaussian distribution for the
signal, with a kurtosis at a level $B_4 = <{\delta_T^4}>_c
/{<{\delta_T^2}>_c}^2 \simeq 90$. A possible interpretation for this result is
that the initial fluctuations at the surface of last scattering are strongly
non-Gaussian. Another interpretation is that the systematic errors have been
understimated in all observations by a factor of two. Other explanations
include foreground contamination, non-linear effects or a combination of them.
