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This author is making a big deal over how his study is statistically unsound and should be retracted, but tbh, I don't see this as retraction-worthy--it's not fraudulent, misreported, or faked data. It's not necessarily even "bad" data/results, just questionable ones. This is why we have replication, quality ratings, and meta-analysis, but I don't know if it's retraction material, unless (as some are speculating) he never got IRB approval, which is an actual ethical issue on his part, seeing as how he actually ran the study.
http://retractionwatch.com/2015/05/...for-some-hours-email-however-says/#more-28700
http://io9.com/i-fooled-millions-into-thinking-chocolate-helps-weight-1707251800
http://retractionwatch.com/2015/05/...for-some-hours-email-however-says/#more-28700
http://io9.com/i-fooled-millions-into-thinking-chocolate-helps-weight-1707251800