I'm reading it now. I find the point about not needing original code interesting. I've heard people say w/r/t analyses that >
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> reproducibility is all about being able to take someone's code and get the same result. I prefer your definition, though.
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Replying to @ed_berry
well that definition is out there just not applicable (imho) to computational modelling since for us the model is the experiment
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Replying to @o_guest
True. For experimental stuff the data and the description of the analysis in the paper should be sufficient, imo.
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There is definitely too much incomplete description of analyses going round
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Replying to @ed_berry
again imho I don't think that's the crux but it's important of course. If an effect exists it should exist regardless of analysis
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super tired, will crash, but I've a paper (2nd author) that covers my views regarding models and why they need to be rewritten
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Replying to @o_guest
I'll look it up. I actually have a book on modelling on my to-read list as an ex arts student who wants to feel real science

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Replying to @o_guest
'Computational Modeling in Cognition: Principles and Practice', Lewandowsky and Farrell. The authors are in my areas so seems good
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oh yeah I've met lewandowsky at asic this year and last. He was talking about the stuff he does on climate denial. 
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Replying to @o_guest
I've seen some of that stuff. Looks like a fun/frustrating line of research
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