  In this article we study a relatively novel way of constructing chaotic
sequences of probability measures supported on Kac's sphere, which are obtained
as the law of a vector of $N$ i.i.d. variables after it is rescaled to have
unit average energy. We show that, as $N$ increases, this sequence is chaotic
in the sense of Kac, with respect to the Wasserstein distance, in $L^1$, in the
entropic sense, and in the Fisher information sense. For many of these results,
we provide explicit rates of polynomial order in $N$. In the process, we
improve a quantitative entropic chaos result of Haurey and Mischler by relaxing
the finite moment requirement on the densities from order $6$ to $4+\epsilon$.
