The martingale convergence theorem, with tears

The convergence rate of the martingale convergence theorem is explored, and it is shown that this rate is not robust as a function of the random variable being estimated with a sequential scheme. These results are then extended to a family of operators which generalize conditional expectation. It is shown that in both of these cases the convergence rate can be arbitrarily slow.