Software engineers primarily use two orthogonal means to reduce susceptibility to faults: software testing and static type checking. While many strategies exist to evaluate the effectiveness of a test suite in catching bugs, there are few that evaluate the effectiveness of type annotations in a program. This problem is most relevant in the context of gradual or optional typing, where programmers are free to choose which parts of a program to annotate and in what detail. Mutation analysis is one strategy that has proven useful for measuring test suite effectiveness by emulating potential software faults. We propose that mutation analysis can be used to evaluate the effectiveness of type annotations too. We analyze mutants produced by the MutPy mutation framework against both a test suite and against type-annotated programs. We show that, while mutation analysis can be useful for evaluating the effectiveness of type annotations, we require stronger mutation operators that target type information in programs to be an effective mutation analysis tool.