 An epistemic landscape is intended to be an abstract representation of the real-world phenomenon being explored. The key word, of course, is “abstract”: few would argue that such a model is fully realistic either in terms of the simplicity of limited dimensions or the precision in which one hypothesis has a distinctly higher value than a close neighbor. As in all modeling, the goal is to represent as simply as possible those aspects of a situation relevant to answering a specific: in this case, the question of optimal scientific organization. Epistemic landscapes—even those this simple—have been assumed to offer a promising start. As outlined below, however, one of the deeper conclusions that has emerged is how sensitive results can be to the specific topography of the epistemic landscape.