Kuhn in "Paradigms and some misinterpretations of science"pic.twitter.com/NH3uDKtcI8
• goth gremlin • computational cognitive/neuroscience modeling • geek & techish Cypriot • plant aficionada • came up with #bropenscience • http://neuroplausible.com •
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Kuhn in "Paradigms and some misinterpretations of science"pic.twitter.com/NH3uDKtcI8
Agreed (use of ‘man’ aside, ofc). In light of philosophy of science & cognitive science (applied to scientists thinking), have difficulty wrapping head around ppl viewing products of science as ‘facts’, especially if they’re scientists.
Sharing your confusion how someone can see scientific theories as 'facts' (might be connected with the oversimplified view of science taught in high school?). Especially like that piece of Kuhn in noting that even observations are theory-loaded (and not objective 'sense data').
Most common & important problems IMO for context I have in mind: a) observations (summarised data) indeed seen as ‘facts’ & forgotten that collection & processing of data is theory-laden & b) good practices for data collection & replicability confused with ‘good science’.
I think esp. with regard to data collection awareness is needed (bit more optimistic about processing). Also of the implications: hypothesis tests in complete isolation are impossible since we're also testing (at the very least) theoretical considerations behind the measurements.
Agreed on the 2nd point! Re: 1st point: there my be differences between our respective disciplines, and its main purposes, eg treatment vs understanding.
@rolandVM have you seen? Is that the kind of thing you mean? [reading your article now myself!] Cooper, R. P. & Guest, O. (2014). Implementations are not specifications: specification, replication and experimentation in computational cognitive modeling. http://dx.doi.org/10.1016/j.cogsys.2013.05.001 …
Not yet, but certainly looks interesting! Can't read it right now, but I'll go through it soon. (Btw, if you're referring to the paper about reproducible research, that's not my own work - although I certainly think it's worth reading.)
Haha sorry for the mix up! 
And I'd love to hear your views regardless!
Haha, don't be sorry, it felt like a compliment. :) I'll get back to you once I've read your article!
No pressure of course!
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