"Why the pokestop/egg data analysis is wrong"

#PokemonGO: It pretty simple really there are three clear outliers in the data. Users Atraldebri, B1llyblaze, Nguyeezus all collected much fewer eggs than the rest of the users.If you remove these three users from the analysis the the p value jumps from the "significant" 0.0111 reported in the analysis to a not at all significant 0.45611. In fact 0.5 would be expected if it was totally random...This is stats basics 101. You shouldn't give the same weighting to a dataset that has 160 points to one that has 15. The validity of all the different users data is not the same and should be weigthed based on sample size. The simplest way to do this is like I did and scratch the three outliers and recalculate the p value. Took 10 mins.Really I think this data is very conclusive that the egg distributions these users were sampling was the same.Edit: I wasn't going to bring this up but since it has been brought up in the discussion that an expert opinion is required here I'll mentioned it. I have a PhD in physics and am currently contracted to do statistical analysis for a major university. via /r/TheSilphRoad http://ift.tt/2hOHefD