Many other researchers have studied the extent of the leftie advantage and how it might arise. For example, (Goldstein and Young 1996) determines a game theoretic evolutionary stable strategy from payoff matrices of summarized performance, whereas (Billiard, Faurie, and Raymond 2005) explicitly uses frequency dependent interactions between left- and right-handed competitors. The work of Abrams and Panaggio (2012) has some similarity to ours as they also model professionals as being the top performers from a general population skill distribution. They use differential equations to define an equilibrium of transitions between left- and right-handed populations. These papers rely then on the NFDS mechanism to generate the lefty advantage. We note that equilibrium-style models suggest the strength of the lefty advantage might be inversely proportional to the proportion of top lefties. Such behavior is not a feature of our modeling framework but nor is it inconsistent with it as we do not model the NFDS mechanism (and resulting equilibrium). Instead our main goal is to measure the size of the lefty advantage rather than building a model that leads to this advantage.