  Folklore often treats the Markov Modulated Poisson Process as bursty because
the variance divided by the expectation of counts is greater than unity. When
viewed through the lens of the inter-event process, this ideally corresponds to
a squared coefficient of variation greater than unity. As this has not been
proved to date, we provide a proof together with an associated stochastic order
relation.
