Certain decision theory problems fail because they precondition on a specific policy. By selecting only participants who meet certain criteria, these premises create invalid scenarios for those outside that subset. This logical error renders the resulting behavioral predictions useless. Researchers must ensure problem statements remain universal to avoid these selection biases in AI alignment logic.