 Weisberg and Muldoon measure both the percentages of runs in which groups of agents find the highest peak and the speed at which peaks are found. They report that the epistemic success of a population of followers is increased when mavericks are included, and that the explanation for that effect lies in the fact that mavericks can provide pathways for followers: “[m]avericks help many of the followers to get unstuck, and to explore more fruitful areas of the epistemic landscape” (for details see Weisberg &amp; Muldoon 2009: 247 ff). Against that background they argue for broad claims regarding the value for an epistemic community of combining different research strategies. The optimal division of labor that their model suggests is “a healthy number of followers with a small number of mavericks”.