We investigate the support of smeary, directionally smeary, and finite sample smeary probability measures with density on spheres . First, in the rotationally symmetric case, we show that a distribution is not smeary, or equivalently, not directionally smeary whenever its support lies in a geodesic ball centered at the Fréchet mean of radius , where . In the general case, we show that neither directional nor full smeariness holds whenever the support is contained in a closed ball of radius , however, past the support radius full smeariness may break down, but directional smeariness breaks down only past the support radius Second, we prove sharpness of this threshold. For every , we show there exists such that for all there exists a rotationally symmetric continuous smeary probability measure on whose support lies in a ball of radius around the Fréchet mean. Third, in every dimension we construct directionally smeary continuous distributions supported in a ball of radius whose Fréchet function has Hessian of rank one. Finally, we study finite sample smeariness. We show that any continuous non-smeary distribution supported in a geodesic ball of radius is necessarily Type~I finite sample smeary, i.e. its variance modulation satisfies . In the rotationally symmetric case, we further prove a curse-of-dimensionality phenomenon: the variance modulation increases with the dimension and can become arbitrarily large depending on the support.

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