  We analyze intermittency in intensity and fluorescence lifetime of CsPbBr$_3$
perovskite quantum dots by applying unbiased Bayesian inference analysis
methods. We apply changepoint analysis (CPA) and a Bayesian state clustering
algorithm to determine the timing of switching events and the number of states
between which switching occurs in a statistically unbiased manner, which we
have benchmarked particularly to apply to highly multistate emitters. We
conclude that perovskite quantum dots display a plethora of gray states in
which brightness broadly speaking correlates inversely with decay rate,
confirming the multiple recombination centers model. We leverage the CPA
partitioning analysis to examine aging and memory effects. We find that dots
tend to return to the bright state before jumping to a dim state, and that when
choosing a dim state they tend to explore the entire set of states available.
