It is definitely not that surprising, even at the end of the tail of a Gaussian distribution. Below some R-code to generate a sample of 100 million normals, dis

It is definitely not that surprising, even at the end of the tail of a Gaussian distribution. Below some R-code to generate a sample of 100 million normals, distributed with a mean of 70 and a standard deviation of 8. I don't know if there is a way to calculate the extremes of a sample of normals, but it is definitely not evidence of fraud on its own. x=rnorm(1e8,mean=70,sd=8); x=sort(x); print(tail(x)) [1] 112.9213 112.9481 113.3819 113.7021 113.9032 116.7363