  If the Euclidean norm is strongly concentrated with respect to a measure, the
average distribution of an average marginal of this measure has Gaussian
asymptotics that captures tail behaviour. If the marginals of the measure have
exponential moments, Gaussian asymptotics for the distribution of the average
marginal implies Gaussian asymptotics for the distribution of most individual
marginals. We show applications to measures of geometric origin.
