Well, you don't need a "study" to show this ... "Study finds scientific reproducibility does not equate to scientific truth" https://buff.ly/2LOvudK pic.twitter.com/M8mvt7orRk
• goth gremlin • computational cognitive/neuroscience modeling • geek & techish Cypriot • plant aficionada • came up with #bropenscience • http://neuroplausible.com •
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Well, you don't need a "study" to show this ... "Study finds scientific reproducibility does not equate to scientific truth" https://buff.ly/2LOvudK pic.twitter.com/M8mvt7orRk
We don’t *just* show that but yes, of course a study needs to show this as well. I just think our main contribution is elsewhere.
I just meant that false finding could easily be replicated (through systematic error or design flaw) and true finding could be non-replicable (e.g. a one-time event or unique phenomenon). So those two points are knowable a priori. But the study is cool for other reasons!
Well it may be apparent a priori knowledge to you and I but definitely not to all scientists. You should have seen some of the reviews we got and how much we had to fight to keep these conclusions in the paper! There’s great resistance.
See also Berna's wonderful talkhttps://youtu.be/-g9Q8EGH-RM
It was a very good talk and it's a very good paper. I don't know why she gets so many flippant responses to this work
I tried to clarify that my comment was a response to the claim as presented in the title of the press release (i.e., that reproducibility does not equate to truth does not require empirical demonstration). It wasn’t meant to be a comment on the actual study which is fascinating
I think an important issue here is that this notion/criticism: "but this is obviously true" is a very common one used to reject papers ESPECIALLY MODELLING WORK from prestigious journals. So you will always receive a reaction if you say this to modellers even if in good faith.
The numbers of times people (reviewers, etc.) have said of models' results "we all know this" and "this is obviously true" when nothing of the sort is neither a mainstream view nor published is very high — hilarious and painful.
Sure but it's selectively applied to our research and not theirs.
It's always someone else, but not us
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