  We prove a central limit theorem for a sequence of random variables whose
means are ambiguous and vary in an unstructured way. Their joint distribution
is described by a set of measures. The limit is (not the normal distribution
and is) defined by a backward stochastic differential equation that can be
interpreted as modeling an ambiguous continuous-time random walk.
