 The likelihood of the truth of a proposition connects with information as range via a possible worlds semantics. For any contingent proposition, it will be supported by some possibilities (those where it is true) and not supported by others (those where it is false). Hence a proposition will be supported by a range of possibilities, an “information range”. Now suppose that there is a probability distribution across the space of possibilities, and for the sake of simplicity suppose that the distribution is uniform. In this case, the more worlds that support a proposition, the likelier the proposition’s truth, and, via the inverse relationship principle, the less information it carries. Although information as range has its origins in quantitative information theory, its role in contemporary qualitative logics of information cannot be overstated. 