It is now well-understood that the behavior of Markov chains in metric spaces can be used to capture many facets of their geometric structure. In 1992, K. Ball introduced the Markov type of a metric space which measures the rate of drift of reversible chains in the space. This notion has since seen many geometric applications. While Markov type is a bi-Lipschitz invariant, there were a number...