Competition for resources and power between countries can result in war, which will adversely affect people in those countries. However, we sometimes see that the outcome of war is unpredictable; the more powerful countries lose to the supposedly weaker countries. A scientist in the University of Georgia then comes up with a theory that statistics and data collected can predict the outcome of war long before the war itself ceases. The result itself will be obtained in percentage of winning or success, and this method has been proven to have an accuracy of 80 percent.

This statistical system has been tested with wars that had happened and stopped in the past, for example the World War I and II. For an instance, she calculated that US chance of victory in the first Gulf War was 93 percent and the poor Soviets only had a 7 percent chance in Afghanistan. In recent US-Iraq conflict, at first US had a 70% chance of winning, but on grounds that her own citizens do not support her, her chance dropped to 26%. She also states that the most important factor that affects whether a country can win is whether that country uses her own force to achieve the objective or there are internal or external supports for her.