Open Science and Its Enemies, Part III: The progressives
OPEN SCIENCE & ITS ENEMIES, PART III: The Progressives
in this episode i conclude my critique of - some parts of - the open science movement by focusing on the positive reforms that might actually work.
keywords: open science reform critique commentary.
details, sources and full transcript at the error bar [https://theerrorbar.com?e=41]
https://doi.org/10.17605/OSF.IO/FZ84B
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51:32
Open Science and its Enemies. Part II: The populists
in this episode i continue discussing some problems in the open science movement. i focus on populist podcasters and the promotion of simplistic heuristics that some scientists argue will improve science. i argue that none of the heuristics will make much difference on their own, & often miss their target.
i say 'fucking' about five times.
the audio, especially the first 20 minutes, is a bit 'noisy', sorry (ironic, eh?).
keywords: openscience reform critique commentary.
details, sources and full transcript at the error bar [https://theerrorbar.com?e=40]
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1:04:26
Open Science and its Enemies. Part I: The p-circlers
There's no brain news this month, but i take this unique opportunity to provide the first of my three part critique of - some parts of - the Open Science movement. This episode focusses on p-circling & reverse p-hacking. These two pejorative terms describe situations where scientists who *don't like* a particular reported effect, then decide to search for things in the paper which can 'un-explain' it. The reverse p-hacker turns a significant effect into a non-significant, or un-interesting one. These reverse p-hackers selectively adjust their version of data analysis (or interpretation) to *remove* significant p-values.
it's the same thing as p-hacking. but backwards. & equally wrong.
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26:50
JUST DIE ALREADY
in this episode we find out how motivational talk makes you run faster & i ponder on the history of science & the death of ideas long, long after their time.
keywords: progress idea Kuhn death revolution.
details, sources and full transcript at the error bar [https://theerrorbar.com?e=38].
image credit: Kaan Durmuş, https://www.pexels.com/photo/military-jet-flying-against-morning-sky-leaving-smoke-trail-19191704/, image re-sized to fit
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15:14
YOUR SAMPLE IS SMALL
my name's nick holmes and THIS is the error bar: a podcast about brain science & statistics that's nothing like any other podcast about brain science & statistics.
this month's episode reveals the final truth about why men's and women's brains are so very similar or different, and I alog (it's like a blog, but its auditory) about why the problem of sample size in a research study is never really actually a problem at all. at least on its own. it's contextual. right?
Netherlands