 For example, it would appear that, as Kuhnian normal science becomes more robust in the sense of closing gaps, tightening connections, and thereby achieving multiple lines of derivation and hence mutual reinforcement of many results. However, that very fact makes normal science increasingly fragile, less resilient to shocks, and more vulnerable to cascading failure (Nickles 2008). Kuhn claimed, contrary to the expectations of scientific realists, that there would be no end to scientific revolutions in ongoing, mature sciences, with no reason to believe that such revolutions would gradually diminish in size as these sciences continued to mature. But it would seem to follow from his model that he could have made a still stronger point. For Kuhn’s position in Structure arguably implies that, when considering a single field over time, future revolutions can occasionally be even larger than before. The reason is that just mentioned: as research continues filling gaps and further articulating the paradigm, normal science becomes more tightly integrated but also forges tighter links to relevant neighboring fields. Taking these developments into account predicts that Kuhnian normal science should evolve toward an ever more critical state in which something that was once an innocuous anomaly can now trigger a cascade of failures (Nickles 2012a and b), sometimes rather quickly. For there will be little slack left to absorb such discrepancies. If so, then we have an important sort of dynamical nonlinearity even in normal science, which means that Kuhnian normal science itself is more dynamic, less static, than he made it out to be.