Simple -- every measurement is duplicated. Since the t statistic (1 sample, say) is something like
t = (sample mean) / sqrt( sample variance / N )
if you accidentally duplicate datasets (either .HEAD or .BRIK can be used as input filenames, but using both gives each dataset TWICE), then N is bigger, so t is bigger -- artificially.