Predicted number of driver events per tumor strongly correlates with contribution from anthropogenic and lifestyle risk factors

I have recently shown that the number of rate-limiting driver events per tumor can be estimated from the age distribution of cancer incidence using the Erlang or gamma probability distribution. Here I show that this number strongly correlates with the proportion of cancer cases due to anthropogenic and lifestyle risk factors, such as air pollution, occupational hazards, ionizing radiation, smoking, alcohol, poor diet, insufficient exercise and obesity, but does not seem to correlate with the proportion of cases due to infection or ultraviolet radiation. The correlation was confirmed for three different countries, three corresponding incidence databases, and three risk estimation studies, as well as for both sexes: USA, CDC WONDER database, Islami et al. study, males [r=0.82, P=0.0006, 13 cancer types], females [r=0.83, P