The worrying thing is: there is no 'reward system' to test reproducibility or publish null/negative results. I've seen too many desk-rejections based on 'effect size too small/null' - and especially for ECRs, going against established results is difficult.
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It takes commitment to science. I’d rather focus on valid science than
@nature stories so I could swan about MIT or Oxford@ceclindgren@VamsiMootha https://doi.org/10.1093/nar/gky570 … vs https://doi.org/10.1038/ng1180 Maybe they should move over & give me their privileged (public!!) resources?
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Lots of examples. Mootha et 2003 OXPHOS n=18 IR/T2DM. Data excluded, Stats model ‘incomplete’, post insulin clamp biopsies not declared. >5,000 citations!! I’ve spent >10y showing irreproducible (n>700 samples). A case of career momentum built on fraud
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Indeed - have you seen this? https://www.bristol.ac.uk/news/2019/november/research-quality.html …
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Absolutely correct!! Check-out for instance the work of an inspiring role model for me here, as a Project Leader in R&D who - like him - was a PI in academia for 2 decades prior to 2017, Man Wah Tan
@genentech. -
I think there are many any reasons for this: 1) lesser pressure to publish so you can do it when you're 120% sure, usually after a project has ended or seen its orientation fundamentally altered.
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Go Terry ! I agree 100% with your comments. Although I don’t have your years in academia, I found it demoralizing in academia for 8 years. I have never been happier returning to a biotech where I work with people who are happy and want to come to work - far from the dark-side.
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