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Should statistical thresholds for deciding research "significance" be retired?

The reliance on p-value thresholds has contributed to the replication crisis as scientists are often pressured to have ps < 0.05 to be able to publish, and thereby continue their careers in academia.

"We hope that methods sections and data tabulation will be more detailed and nuanced. Authors will emphasize their estimates and the uncertainty in them"

via doi.org/10.1038/d41586-019-008
@academicchatter #Science #SciComm

RT @bppebattaglia
one assumes revenue of about US$4,000 per subscription article, a conservative 30% profit margin and generous publication costs of US$600 per article then there remains a sizeable gap of about US$2,200 in non-publication costs. f1000research.com/articles/10-

RT @bttyeo
Unpopular opinion: it should be ok to self plagiarize the data description and preprocessing portions of papers.

RT @shadbush
A simple algorithm to decide whether to use ChatGPT, based on my recent article (lnkd.in/eeZ5YNJh)

@NeuroSchnell @schoppik @NicoleCRust @brembs

As a reviewing editor, and as scientist and paper author, I have no idea who the “readership” is. Readers of one paper in a journal are extremely unlikely to want to read most papers from the same journal. Scientists read papers, not journals. A journal’s contents is a collection of misfits. There isn’t and there can’t be a coherent theme, as this would have to be so narrowly defined that it would, in essence, be personalised to each reader.

@brembs
A matter of taste, but that last paragraph was very strong and will get attention. Those interested will continue to the evidence / details.

Scientists generally want their research to be openly accessible to the public.

So what's stopping them?

One study of Berkeley faculty (N = 479) found that 71% supported open access to research, yet only 18% of articles published by the group were open access.

"a journal having no cost to publish in was more important than having no cost to read"

via arl.org/wp-content/uploads/202
#OpenScience #Science #AcademicChatter #SciComm @academicchatter
h/t @oatp

Sending this off to @biorxivpreprint very soon, but you can read it here first.

We've added GPT-3 revision suggestions to #manubot. The point where it suggested changes that fixed an incorrect reference to a mathematical symbol was 🤯.

Check out more at the link! #science #publishing #academia #ai #aiart

greenelab.github.io/manubot-gp

RT @foxmdphd
Awesome picture and paper showing the power of collaboration between psychiatry (@shansiddiqi) and neurology (@IsaiahNeurology) @Brain_Circuits @BrighamWomens twitter.com/brighamwomens/stat

Non-profit journals as a solution to open science?

Publishers charge researchers incredible amounts to remove paywalls from their own papers...and make unbelievable profits from doing so. Several have an >30% profit margin.

Initiatives such as @PeerCommunityIn provide an alternative: open access, non-profit journals that are free to publish in.

peercommunityin.org/
peercommunityjournal.org/
#OpenScience #Science #AcademicChatter @academicchatter
Graph (2013): @alexh alexholcombe.wordpress.com/201

RT @brianklaas
I wrote this to systematically debunk the really stupid pro-gun arguments that usually arise in Twitter comments. And still, the people commenting on it...turn to the exactly same really stupid pro-gun arguments without reading it. open.substack.com/pub/briankla

@brembs
Nice.
Start with the last paragraph—it's the strongest.

When scholars without expertise in infrastructure reform encounter the goals of the reform movement, such as e.g., replacing academic journals,

doi.org/10.5281/zenodo.5526634

they sometimes reflexively defend the status quo that served them well, e.g.:

“You ‘open’ wackaloons are forcing your revolution on us, against our academic freedom!”

I was asked to write a *one-page* cheat sheet with the evidence to counter such a reflex:

docs.google.com/document/d/1vj

Can you/we improve on that?
#openscience

Just saved myself a lot of space in this application I'm writing with the DOI shortener tool from the DOI Foundation 👍

Just (re)discovered Casey Greene's super "preprint similarity search tool". It did a great job for our recent #preprint. It uses a language learning model to find like #publications to help you pick your target #journals.

greenelab.github.io/preprint-s

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