Oh man, this is a wonderfully silly headline. Just one point from the study - eating chocolate did not 'significantly' increase weight, but it did increase calorie intake by ~200-300kcal per day over the 14 days of the studyhttps://twitter.com/CaulfieldTim/status/1409566065021968384 …
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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
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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
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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
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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
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Replying to @GidMK @ADAlthousePhD
Breaks my brain that effect sizes are still so often unreported in studies like this. Like, I get the reasons why they don't but come on.
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I agree, but also it's a bit 'buyer beware' imo because it's a 14-day chocolate intervention the likelihood that there'd be big differences in any of these variables is very slim
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