But until someone provides a sound mathematical proof, the validity of the assumption remains open to question.

But go further and test each assumption for validity: think in ways that they might not be valid and their consequences.

It is difficult to establish the validity of any distributional assumption, and this is a common criticism of random effects meta-analyses.