 So Rosenstock, Bruner, and O’Connor rerun the simulations with different values for “epsilon,” the increase in probability of success afforded by the new treatment. Before we held epsilon fixed at .001 = .501 − .5. But now we’ll let it vary up to .1. For simplicity we’ll only consider a complete network versus a cycle this time, and we’ll hold the number of doctors fixed at 10. (The number of trials each round continues to be 1,000.)