Well, that sets up an interesting conflict between interests of the authors and the publishers!https://twitter.com/RetractionWatch/status/1414645877164158983 …
Epidemiologist. Writer (Guardian, Observer etc). "Well known research trouble-maker". PhDing at @UoW Host of @senscipod Email gidmk.healthnerd@gmail.com he/him
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Venk Murthy Retweeted Retraction Watch
Well, that sets up an interesting conflict between interests of the authors and the publishers!https://twitter.com/RetractionWatch/status/1414645877164158983 …
Venk Murthy added,
Utterly uncontroversial. The regular OA effect, just the naughty version.
(it's neither; since it's mostly causality in the other direction)
Alright then, you miserable beard wearing a statistician, how do we test it?
Randomized experiment here is possible (albeit probably breach of contract). Some form of semi-exogenous variation is also plausible (e.g. DiD on stuff that came out during one of the myriad of sci-hub server outages vs other times).
I'm trying to think of a randomized trial that wouldn't also disadvantage the intervention group sufficiently to bias the effect and I can't. How would you create a group that scihub can't steal without also locking them for regular readers somehow?
IV embedded in RCT, "encouragement design" style. You don't have to prevent something from being uploaded to sci-hub, you just need something that makes it more likely (i.e. you upload them yourself). Interpretation issues would happen, but not an existential threat.
But scihub works by using general logins so anything that is uploaded to a journal (from my understanding) would get on there. I think the only way to do this would be to work WITH scihub, but that's going to be tough
Could be. I'd bet that working with scihub is probably more likely than working with, say, Elsevier :)
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