Top Tweets for #MetaScience
Two other reviewers requested revisions, but I withdrew my article before the editor made his decision. I just don’t have the time and energy to argue with another reviewer who focuses on you instead of your arguments. 😩4⃣
#metascience #metapsychology #ethics
Then the well-known Nick Brown submitted "peer review." It made me really upset. I was disappointed that a sleuth who is often criticized online for his motivation in mainly criticizing others’ work focused his entire review on me and my motivation. 🤨 3⃣
#metascience #ethics
The editor initially asked me to restructure the manuscript and promised to send it out for peer review. When I did that, he desk-rejected the manuscript. 😂I then had to push back in order to have the paper sent for peer review. 2⃣
#metascience #metapsychology #editors
I have been following what the meta-science community does from the sidelines. Very simplified “We will fix science” or “clean it from rubbish” is kind of their goal. My first formal encounter was submitting a paper to the Meta-Psychology journal. 1⃣
#metascience #metapsychology
To me all this suggests that (a) there should be a lot more focus on adversarial collaborations; and (b) academia needs to work out ways of running many @I4Replication type projects full time.
Pre-publication peer review, by itself, has severe limits. #MetaScience
Asking for robustness in ref reports wastes everyone's time and DOES NOT WORK.
Authors selectively respond to requests, interpret things differently, and still have many degrees of freedom. This is a stupid dance.
Robustness checks are only useful if done by 3rd parties. 2/
What's wrong with peer review?
We are obsessed with "narrative", replacing the science with the story.
Devaluing the paper in favor of a researcher’s contribution is the first step to fixing this.
#science #research #stem #metascience #ethics
Why are drug costs so high? Part of the reason is low replicability rates in preclinical research.
Tim Errington breaks down the "clinical vs. preclinical" divide and where different types of institutions fit in the translational ecosystem.
#Metascience #Innovation #Academia
and if any one is wrong we can accept it.
In contrast, some big clinical trials maximize rigor at high cost.
A great science ecosystem has a mix of different approaches.
#metascience
Listen to our full conversation here: https://t.co/kEetgrbKDU
#metascience #openscience #reproducibility #researchintegrity
📢【掲載のお知らせ】
3月14–15日に日本科学未来館で開催した「メタサイエンス・ミートアップ2026」の開催レポート（海外向け）が、RoRI（Research on Research Institute）の広報サイトに掲載されました。
ぜひご覧ください👇
https://t.co/ripfGX1dc0
#メタサイエンス #MetaScience #RoRI
#statstab #526 A Meta-Analysis of the Impact and Heterogeneity of Explicit Demand Characteristics
Thoughts: The impact of the design on conclusions is under-appreciated
#demandcharacteristics #design #methodology #error #bias
#metascience #metaanalysis
https://t.co/csAmODeApq
📢 New publication in Nature! #MetaScience
A major international collaboration investigating the robustness of social & behavioural science results includes DSE research fellow @MatteoMMarini1 among its authors 🌍🔬
➡️ https://t.co/F4OqzMYieI
🧵Here's what they found 👇
Three tabs. Three validators. One puzzle. Nobody sees anyone else's answer until all three are sealed — including the researcher's.
This is what structural independence looks like in practice 👇
https://t.co/6q9lzgmayW
#OpenScience #Holochain #ResearchIntegrity #Metascience
Great piece by @samturner330849 on my approach to fixing the reproducibility problem in computational science. Worth a read 👇
https://t.co/vXOzkBHlor
#OpenScience #Metascience #Holochain #ResearchIntegrity
NEW PREPRINT: “A critical review of clinical prediction models in oncology: is this SEERious research?”
--> https://t.co/rhnXHfAtwz
#ClinicalPredictionModels #ResearchIntegrity #ResearchWaste #metascience #metaresearch
A poll finds that priming research might be bad enough to save science. #metascience
https://t.co/UaShf3KTiC
New summary from Mirror @sci_integrity:
🤖 Is AI fuelling false findings in science?
New analysis found a surge in AI use in health studies using large datasets — many without proper statistical checks.
▶ https://t.co/FNXfkHW1W6
#MIRROR #MetaScience #AIinScience
New summary from Mirror @sci_integrity:
Early-Bird Papers: Who Really Uses Preprints?
They are rising, but unevenly.
Global study shows physics still dominates. Some regions use preprints twice as much as others.
▶ https://t.co/MtSPYQYXRU
#MIRROR #MetaScience #Preprints
New summary from Mirror @sci_integrity:
Science improves when data is shared — but not all journals are on board yet. Review of 165 medical journals found only 36% allow data repositories.
▶ https://t.co/BBBQsdsMt2 #MIRROR #OpenScience #DataSharing #MetaScience
In 1994, Imbens and Angrist published a 9-page paper in Econometrica formalizing LATE. It helped win them the Nobel.
But what was happening in other fields at the same time?
At least 8 groups, across economics, biostatistics, and epidemiology,t arrived at the same idea independently between 1983 and 1994.
New essay on parallel discoveries in causal inference:
https://t.co/8kIJ3Vy2K5
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