Qualitative predictions are often more robust, in two senses. First, qualitative predictions may continue to hold if one makes small changes in the model’s specific assumptions. For example, a model’s quantitative predictions might depend on whether a particular probability distribution is normal, exponential, or uniform, but the model’s qualitative predictions might hold for any single-peaked (i.e., hill-shaped) distribution, including the three mentioned above as well as others.