Personal genomics offers a complex form of uncertainty in which a person’s data are largely stable, but the interpretation and implications continue to evolve with the emergence of new research. Another domain, in which there is uncertainty about the supporting evidence and truthfulness of a claim, is social networks. We propose that a similar method can be used to communicate uncertainty in these contexts, and present a tool for visualizing social network claims that builds upon research in both contexts