If you look at the graphs of weight gain, while this may not have been 'statistically' significant, the people who ate chocolate certainly look like they're gaining more weight!pic.twitter.com/NQxHOXOJzm
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If you look at the graphs of weight gain, while this may not have been 'statistically' significant, the people who ate chocolate certainly look like they're gaining more weight!pic.twitter.com/NQxHOXOJzm
Also, here's the table with the results of all of the ANOVAs run in the study, with no correction for multiple comparisons that I can seepic.twitter.com/DSR821CtZr
Also also, this appears to be a post-hoc power calculation justifying the sample size, which I'm sure will please @ADAlthousePhD immenselypic.twitter.com/hfCVhDX2t2
Another point - while the differences may have been statistically significant on ANOVA, I calculated Cohen's d for the difference between activity and it's around 0.15, representing an increase in ~4 mins activity a day associated with eating chocolatepic.twitter.com/8x21fo8cCn
Although I know there are a lot of great people in nutrition science, the worst media articles (pre covid) in public health happened with these type of studies.
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