BTW @jeffcliff this is also a good example of the danger in trusting p-values. You can't get better than p < 8e-17, but the p-value is meaningless because the null hypothesis used in the 'study' fails to account for obvious data artifacts. One wonders how many COVID policy studies rely on similarly flawed analyses. In my opinion, you cannot trust a p-value unless you thoroughly understand the data-collection procedure