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Isaac Handley-Miner

@ihandleyminer.bsky.social
158 followers 268 following 2 posts

Psychologist and metascientist. Director of Transparent Replications (replications.clearerthinking.org). isaac-handley-miner.github.io

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Reposted by Isaac Handley-Miner
Daniel Lakens @lakens.bsky.social · 05/10/2026
If you want to listen to a podcast about a team taking a solid and thoughtful approach to replicating a classic study, thinking carefully about translation, replicating multiple versions of the same hypothesis, etc, listen to Rolf Zwaan's "Research as it Happens" shows.acast.com/research-as-...
shows.acast.com
Research as it Happens
Listen to episodes and learn more about Research as it Happens. What does science look like while it’s still unfolding?In Research as it Happens, we go inside a large-scale psychology project, where…
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Brian Nosek @briannosek.bsky.social · 04/10/2026
"Estimators based on meta-analysis methods that correct for potential bias in the original study were close to unbiased when synthesizing the original study and replication...meta-analytic estimates were substantially closer to the effect size of the replication compared to the original study."
journals.plos.org
Evaluation of replication success: A statistical perspective and extended analysis of the SCORE data
Replications are more and more conducted in multiple research fields. A recent large-scale replication project, Systematizing Confidence in Open Research and Evidence (SCORE) project, replicated 274 e...
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Lukas Röseler @aufdroeseler.bsky.social · 05/10/2026
What do we expect of robustness reproductions in the age of AI? Help us find out at the Münster Reprohack workshop from December 2-4. We will conduct AI-led and human-led robustness reproductions, that are subsequently submitted to @r2journal.bsky.social Apply at indico.uni-muenster.de/e/reprohack
indico.uni-muenster.de
ReproHack
ReproHack: Join us for a mentored three-day reproduction hackathon! Background When building on past research, we rely on it being correct and robust - and yet, these characteristics are rarely assess...
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Daniel Lakens @lakens.bsky.social · 05/10/2026
We are excited to announce that we are going to broadcast the second day of Meta-Research Symposium 2026 (this Friday on October 9th) for those who were interested but unable to join in person. JOIN: teams.microsoft.com/l/meetup-joi... PROGRAM: docs.google.com/document/u/0...
docs.google.com
Meta Research Symposium 2026
Meta Research Symposium 2026 8-9 October, 2026, TU/e Eindhoven Conference website: https://paulmeehlschool.github.io/workshops/symposium2026/ Times are in central European time. To check the time…
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Center for Open Science @cos.io · 02/10/2026
📋 Registration Open: BITSS Annual Meeting Share novel research and discuss efforts to improve the credibility of social science by advancing research transparency, reproducibility, rigor, and ethics. BITSS 2027 will be held Feb. 26 in Berkeley, CA. Free to attend. Register:
docs.google.com
2027 BITSS Annual Meeting Registration
The BITSS Annual Meeting brings together actors from academia, scholarly publishing, and policy to share novel research and discuss efforts to improve the credibility of social science by advancing research transparency, reproducibility, rigor, and ethics. The 15th BITSS Annual Meeting will be held on Friday, February 26, 2027 in Berkeley, CA at the Tamalpais Room, Brower Center. Please register for this event by filling out the brief form below. We'll follow up over email with specific instructions for attending the event in early February. This event is free to attend and we also welcome graduate students. NOTE: We cannot sponsor travel or hotel accommodations for the Annual Meeting. Those attending the event in-person must cover their own costs; we have limited travel support available for speakers.
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Randy Ellis @randalljellis.bsky.social · 23/09/2026
Here’s my conversation with Chris Chambers on Metascience Matters. Chris was the first journal editor to offer registered reports, starting in 2013 at Cortex. youtu.be/PgZjgZlxsYw?...
youtu.be
Registered reports | Chris Chambers
YouTube video by Metascience Matters
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Institute for Replication @i4replication.bsky.social · 25/09/2026
Over the past two years, I4R partnered with Psychological Science (@psychscience.bsky.social) on a large reproducibility project. 67 independent teams reproduced 64 articles published in 2024–2025, about 44% of eligible papers. Paper: www.econstor.eu/bitstream/10... Here's what we learned 🧵
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moin syed @syeducation.bsky.social · 22/09/2026
New paper! Despite qualitative researchers claiming that generalizability is not a goal, their published work does indeed contain generalizable claims. We document this and provide recommendations for how all researchers can better calibrate their generalizability claims. doi.org/10.1177/2515...
article header for, "Qualitative Researchers Can and Do Generalize: Generalizability Claims in Qualitative Psychological Research". Metascience!
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Dan Quintana @dsquintana.bsky.social · 19/09/2026
New preprint! 🎉 I analysed 1660 papers from 4 psychology journals and found materials sharing went from 9% of papers in 2015 to 82% in 2025, and these materials *do* get downloaded — a median of 135 times each. BUT shared code is often hard to run. doi.org/10.31234/osf... Let's walk through it 🧵
Two-panel figure. Panel a is a flow diagram tracking 1,611 empirical psychology articles from publication year (545 in 2015, 552 in 2020, 514 in 2025) to repository-link type: 785 link an OSF project, 85 link another platform, and 741 link no repository. Of those with an OSF link, download counts were retrieved for 670 and not retrieved for 115. Panel b is a line chart of the share of empirical papers linking OSF across 2015, 2020 and 2025. The overall rate, shown as a dashed black line, rises from 9% to 57% to 82%. All four journals rise steeply and end close together: Psychological Science 92%, JESP 89%, JML 83%, Cognition 76%, with Psychological Science highest throughout.Three-panel figure. Panel a: ridgeline plot of downloads per file by material type on a log scale, with the percentage never downloaded labelled for each — archive 16% of 545 files, documents 20% of 2,970, code 12% of 3,471, other 17% of 1,646, data 21% of 10,051, media 35% of 2,120, images 35% of 4,102. Most files cluster between 1 and 10 downloads, with long right tails past 100. Panel b: ridgeline plot of downloads per paper by journal, log scale, with dashed median lines; Psychological Science is highest, then JESP, JML and Cognition. Panel c: stacked bars showing, for documents, data and code separately, the share of papers by download band (0, 1–10, 11–100, more than 100) in 2015, 2020 and 2025. The share exceeding 100 downloads falls sharply over time in all three types, from roughly two-thirds in 2015 to a quarter or less in 2025, as the 1–10 band grows.Four-panel figure. Panel a: statistical languages detected among 333 papers with retrievable code — R 88%, SPSS 12%, Stata 4%, SAS 1%. Panel b: code red flags among those 333 papers — 34% hard-code an absolute path, 40% reference a missing file — above documentation among 672 OSF-linked papers — 21% have a README, 30% are documented by README, description or wiki. Panel c: among 562 Elsevier papers with no repository link, 44% (245) host at least one journal supplementary file but only 14% (77) host data, code or an archive. Panel d: composition of those 448 hosted files — documents 52%, data 21%, media 9%, other 7%, archive 6%, code 3%, images 1%. The code panels are green, the journal-supplement panels blue.Coefficient plot (download predictors)

Dot-and-whisker plot of three standardised predictors of OSF download volume, each with a 95% confidence interval. Repository size (number of files) has the largest effect at about 0.76, citations about 0.38, and altmetric attention about 0.12. All three intervals sit entirely above zero, so each predicts more downloads, with repository size roughly twice the effect of citations and six times that of attention. X-axis: standardised effect, −0.2 to 1.0.
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Jamie Cummins @jamiecummins.bsky.social · 10/09/2026
Machine learning and generative LLMs are subject to many of the same drawbacks and issues as general empirical research in the typical publishing system. In this piece now published at NHB we argue that, like for empirical research, ML and LLMs can benefit from the use of Registered Reports.
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Institute for Replication @i4replication.bsky.social · 10/09/2026
First up: @breznaunate.bsky.social asks a provocative question: What if the replication crisis is also a metatheory crisis? We often focus on p-hacking, publication bias, coding errors, and analytical choices. But what if part of the deeper problem is weak theory?
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Institute for Replication @i4replication.bsky.social · 10/09/2026
This summer, I4R invited 12 researchers in the social sciences for a 1-day workshop on the future of replication. Each researcher chose a topic and led a discussion. We recorded the conversations. We’ll release each one as a podcast + blog. 🧵 open.spotify.com/episode/3qAa...
open.spotify.com
The data-generating model (Nate Breznau)
Allegedly Does Not Replicate · Episode
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Nature Human Behaviour @nathumbehav.nature.com · 10/09/2026
How Registered Reports can improve trust in machine learning research
dlvr.it
How Registered Reports can improve trust in machine learning research
Nature Human Behaviour, Published online: 10 September 2026; doi:10.1038/s41562-026-02586-2How Registered Reports can improve trust in machine learning research
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Brian Nosek @briannosek.bsky.social · 09/09/2026
Noah is leading our effort to do a naturalistic randomized trial on a variant of the Registered Reports publishing model. Registered Revisions implements randomization at Revise-and-resubmit stage for new data or analyses. Here's a thread and preprint with the latest.
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Institute for Replication @i4replication.bsky.social · 04/09/2026
🧵 New DP from I4R co-director Lester Lusher, with Sonia Ale, Md Shafiqui Islam, Huda Osman & Jacob Stenstrom (Pitt): "When Samples Shape Significance." What happens when you re-estimate published results using fresh draws of the same data? Some evidence from Google Trends!
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Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 04/09/2026
It's a systemic problem in science reporting that these summaries exaggerate the evidence. In the actual candy study, the participants were all students, status was manipulated in the lab by telling some students they were better than others, and "nearly twice" means 1 piece vs 2 pieces.
Piff and his colleagues found that upper-class drivers were more likely to cut other cars off at junctions and ignore pedestrians at crossings. Wealthier people also appeared more willing to lie at work. In one experiment, volunteers were left alone with a jar of sweets ostensibly meant for children. When the researchers returned, upper-class people had snaffled nearly twice as many candies as lower-class people.
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Brian Nosek @briannosek.bsky.social · 03/09/2026
For the Replicability Project: Health Behavior we need some editors and reviewers of analysis plans for secondary data replications, especially for complex designs including multilevel, weighting, clustering, missing data. Earns coauthorship on the summary paper. Interested? replications@cos.io
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Jeremy Freese @jeremyfreese.bsky.social · 02/09/2026
Lurking within the new Ariely scandal is the incentive problem of editors giving R&Rs that ask for new analyses (that need to turn out a specific way) or even in psych whole new experiments (ditto).
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Randy Ellis @randalljellis.bsky.social · 02/09/2026
Here's my conversation with @bethclarke.bsky.social, incoming Junior Professor of Psychological Metascience at the Leibniz-Institut für Psychologie. www.youtube.com/watch?v=2Hak... We discussed direct replications, how study limitations are ignored, and p-curving social and personality psychology.
youtube.com
Direct replications, P-curves, and Acknowledging Limitations | Beth Clarke
YouTube video by Metascience Matters
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Sam Gershman @gershbrain.bsky.social · 01/09/2026
If this makes you mad, submit your cognitive science research to @openmindjournal.bsky.social No APCs, no subscription fees. It's funded by university libraries, at low cost.
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Matt Makel @mattmakel.bsky.social · 31/08/2026
I made a mistake. And because of that mistake, I no longer have confidence that results that I reported in several research papers are an accurate reflection of replication rates. 1/
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David A. Sbarra @dsbarra.bsky.social · 26/08/2026
Check out this commentary recently published in AMPPS (journals.sagepub.com/doi/10.1177/...), a discussion of the findings in Grassi et al related to musical training short-term memory. The interesting part: It's written BY THE AUTHORS, with differing views on the same set of results. Luv this one.
journals.sagepub.com
Common Evidence, Multiple Interpretations: Commentaries on a Multilab Study on Musicians’ Short-Term Memory - Rafael Román-Caballero, Deniz Başkent, Anne Caclin, Laura Ferreri, Anna Fiveash, Clément F...
The multilab registered report by Grassi et al. represents the largest collaborative effort to date to estimate differences in short-term memory between musicia...
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ReproducibiliTea @reproducibilitea.org · 19/08/2026
Did you check out our Reproducibility 2026 conference program yet? 👀 We have three great sessions packed with keynotes, journal clubs, and opportunities to connect and discuss reproducibility. Here are some highlights from the program:
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Society for the Improvement of Psychological Science (SIPS) @improvingpsych.org · 17/08/2026
Congratulations to the project “RegCheck,” which received🏆2026 SIPS commendation! RegCheck is a tool that makes it easier and quicker for researchers to compare published papers with their associated study registrations. regcheck.app
regcheck.app
RegCheck
RegCheck is an AI tool to compare preregistrations with papers instantly.
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Open Encyclopedia of Cognitive Science bot @oecs-bot.bsky.social · 14/08/2026
Making scientific research transparent, reproducible, and accessible is the modern standard for ensuring that evidence survives independent scrutiny. Open Science by Tom E. Hardwicke and Simine Vazire doi.org/10.21428/e2759450.cdacaf45 #CognitiveScience
Open Encyclopedia of Cognitive Science: "Open Science" by Tom E. Hardwicke and Simine Vazire. Open science refers to a set of principles and practices that promote transparency in science. The core idea is to make it easy for others to access, verify, and build on scientific research, for exam
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Mike Frank @mcxfrank.bsky.social · 11/08/2026
Almost no psychology research is based on a true probability sample. The question is whether that undermines your research! Ch 10 of Experimentology argues that it depends on whether the effect you're studying is heterogeneous. 🧵 experimentology.io
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Society for the Improvement of Psychological Science (SIPS) @improvingpsych.org · 11/08/2026
The Center for Open Science recently announced its decision to phase out OSF Projects. We want to share how those changes will affect PsyArXiv, a psychology preprint server run and maintained by SIPS volunteers but hosted on the OSF platform. improvingpsych.org/2026/08/11/w...
improvingpsych.org
What Researchers Need to Know about PsyArXiv Given Upcoming Changes to OSF Projects
In just a few short days (August 15th, 2026), PsyArXiv – the community preprint server for psychology – turns 10! 🥳 Over the past decade, our community has published over 58,000 preprin…
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Center for Open Science @cos.io · 07/08/2026
In 2025, COS launched the Predicting Replicability Challenge—a public competition to test automated methods for predicting whether a research claim would be successfully replicated in a new sample of data. 📊 Read about the Round 3 (final round) results on our blog:
cos.io
Predicting Replicability Challenge: Round 3 Results
COS launched a public competition in 2025 to test automated methods for predicting if a research claim would be successfully replicated in a new sample of data. Read third round results here.
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simine vazire @simine.com · 10/08/2026
Special issue at Psych Science on psychology research using LLMs Theoretical & methodological work welcome. Read the full call for important info about what we’re looking for! Submission deadline: 15 March 2027 (15 October 2026 for Registered Reports) www.psychologicalscience.org/publications...
psychologicalscience.org
Special Issue Call for Submissions: “Advancing Psychological Science Using Large Language Models”
Editors: Jamie Cummins and Ruben C. ArslanPsychological Science invites submissions for a special issue on psychological science involving large language models. We welcome theoretically and empirical...
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simine vazire @simine.com · 10/08/2026
Special issue at Psych Science on psychological science in the real world! Send us your best work looking at whether effects from the lab (or from theories) hold up in ecologically valid settings. Submission deadline: 15 January 2027 www.psychologicalscience.org/publications...
psychologicalscience.org
Special Issue Call for Submissions: “From Lab to Life: Psychological Science in the Real World”
Editors: Roni Porat and Vishnu SreekumarPsychological Science invites submissions presenting innovative research that brings psychological science “into the wild,” whether to strengthen its ecological...
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re-vision-init.bsky.social @re-vision-init.bsky.social · 01/08/2026
(1/6) Do our visual neuroscience findings actually replicate? And do they generalize beyond the datasets they were found in? We've lauched re:vision, a community-driven initiative to answer these questions, and we are looking for scientistis to participate. re-vision-initiative.org
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Society for the Improvement of Psychological Science (SIPS) @improvingpsych.org · 20/07/2026
SIPS meetings happen once a year, but improving psychological science is a year-round endeavor! Because of this, SIPS is launching a Pop-Up Event series, where SIPS members can propose monthly unconferences, hackathons & workshops, open to everyone!💪 buff.ly/OFgUncY #OpenScience
buff.ly
SIPS Pop-Up Events
[See all Upcoming Events] Although SIPS meetings happen once a year, improving psychological science is a year-round endeavor. To help our community stay active outside the annual meetings, SIPS is…
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Julia M. Rohrer @dingdingpeng.the100.ci · 20/07/2026
New paper out now 🥳 When psychologists discuss generalisability, they often refer to vague notions of representativeness. We provide an accessible intro to the total survey error framework as a tool to reason about this more rigorously. w @taymalsalti.bsky.social @ruben.the100.ci >
Thinking Clearly About Sampling and Representation With the Total Survey Error Framework

Collecting a sample that represents the population of interest well constitutes a challenge across the social and behavioural sciences. Psychology in particular frequently relies on convenience samples—most notably students and, increasingly, online participants—with a tendency to either (implicitly) assume representativeness without substantive justification, or to acknowledge a lack of it only in passing. In contrast, researchers rarely engage with the actual implications for their inferences, which undermines the generalisability of psychological findings. Critically, representativeness must be defined with respect to variables relevant to the target of inference, rather than superficial demographic diversity. Here we present the Total Survey Error (TSE) framework as a methodological tool that systematically addresses the multifaceted sources of error—particularly those related to representation—that emerge throughout the research cycle. Although TSE originated in survey research, its principles are broadly applicable to any psychological study seeking inference from sample to population. We offer practical strategies for identifying, preventing, and mitigating representation errors to improve the credibility and generalisability of psychological research.

Illustration of the total survey error framework with the representation strand highlighted. It shows how coverage error, sampling error and non-response error arise during the sampling process.
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Jamie Cummins @jamiecummins.bsky.social · 14/07/2026
Today we launch the first stable release of RegCheck: v1.0.0. RegCheck makes it easier and quicker to compare study registrations to published papers for consistency - something we know is important in principle, but rarely done in practice. A 🧵 on what's new: regcheck.app
regcheck.app
RegCheck
RegCheck is an AI tool to compare preregistrations with papers instantly.
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Eiko Fried @eikofried.bsky.social · 15/07/2026
Join our Many-Analysts Simulation Study—yes, you read that correctly—accepted as Stage 1 Registered Report in (AMPPS) @psychscience.bsky.social. We're trying to find out how researchers' simulation design choices shape methodological conclusions. Further info: osf.io/8vcxh/files/...
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Beth Clarke @bethclarke.bsky.social · 15/07/2026
If you had to guess, what proportion of social/personality psych articles include a claim that the findings can be applied in the real world?
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Center for Open Science @cos.io · 07/07/2026
⚙️ New on the COS blog: Principal Research Scientist Noah Haber (@whaleactually.com) shares how the SCORE project developed a collaborative reproducible manuscript workflow, walks through two different approaches, and introduces an open-source R package. www.cos.io/blog/toward-...
cos.io
Toward Collaborative Reproducible Manuscripts
COS Principal Research Scientist Noah Haber shares how the SCORE project developed a collaborative reproducible manuscript workflow, walks through two different approaches, and introduces an open-sour...
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Solomon Kurz @solomonkurz.bsky.social · 01/07/2026
You know what? Agreed. If retrospective meta-analysis were all we had, they'd be better than nothing. But now we have other options, it may be time to replace them.
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Neil Lewis, Jr. @neillewisjr.bsky.social · 26/06/2026
Periodic reminder that publishing papers is not the goal in and of itself. The paper is a mechanism for sharing what you have learned--sharing processes and outcomes that others should be aware of/should think about too. 1/3
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Samantha Joel @datingdecisions.bsky.social · 15/06/2026
New team science initiative just dropped! manyscale.org We're looking for collaborators to lead repositories of self-report measures in their own psychology subfields.
manyscale.org
ManyScale - A Home for Psychological Measures and Constructs
ManyScale will be a network of repositories for self-report measures in psychology.
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Mike Frank @mcxfrank.bsky.social · 15/06/2026
This week's Experimentology chapter is "Estimation". The most important move in planning an analysis isn't picking your test or your model — it's clearly defining what you're trying to estimate. 🧵 experimentology.io/005-estimat...
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Brian Nosek @briannosek.bsky.social · 12/06/2026
This wonderful work shows an AI-assisted workflow that could reduce reproducibility check cost and time by orders of magnitude. Soon, large-scale projects like SCORE may only be needed for training and validation evidence. Talk www.youtube.com/watch?v=ijad... Paper www.leoyang.org/publication/...
youtube.com
Keynote: Yiqing Xu
YouTube video by Stanford Data Science
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Rolf Zwaan @rolfzwaan.eurosky.social · 08/06/2026
A Episode 4 of Research as it Happens: a deep dive into language and translation as part of our large international replication process. How do you translate “hit” and “smashed” into 18 languages while preserving their psychological impact? shows.acast.com/research-as-....
shows.acast.com
In other words | Research as it Happens
A deep dive into language, translation, and replication
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Daniel Lakens @lakens.bsky.social · 08/06/2026
With Deborah Mayo, Kent Staley, and Wendy Parker we are editing a special issue of Synthese on "Severity and Learning from Error": link.springer.com/collections/... Deadline for submissions is the 15th of December, 2026. If this is a topic that you are interested in, consider contributing!
link.springer.com
Severity and Learning from Error
This Topical Collection examines how inquiry learns from error by focusing on a basic principle of evidence in science, statistics, medicine, law, ...
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Alex Coppock @aecoppock.bsky.social · 05/06/2026
I really hope that Sociology reforms. My main work is reanalyzing other scholars' experiments in service of meta-analysis. It's only possible because transparency is embraced so thoroughly by our political science community. Most exps are posted; i'm getting ~80% when I email for the rest.
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Reese Richardson @reeserichardson.bsky.social · 05/06/2026
The Thermo Fisher situation keeps getting worse. We've now collected 450+ problematic images presented as verification data in TF's antibody catalog. This includes: 🖌️ Dozens more images with duplications or painting 🖨️ Hundreds of blots that all share the same background (behold slideshow below)
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Sam Westwood @samwestwood.bsky.social · 05/06/2026
The programme for the King's Open Research Summer School 2026 is now here! Free, open to everyone, and available both in-person and online. Register: tinyurl.com/3wbx9tmr
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Jörg Ankel-Peters @jrgptrs.bsky.social · 05/06/2026
New DP @i4replication.bsky.social : An Empirical Assessment of Computational Reproducibility in Sociology. www.econstor.eu/bitstream/10...
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Institute for Replication @i4replication.bsky.social · 04/06/2026
7/ If we want a healthier research culture, we need fewer incentives to defend every line we've ever written and more incentives to update when new information arrives.
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Research on Research Association @roration.bsky.social · 04/06/2026
We're excited to launch J·ROR, the Journal of Research on Research. A new open-access home for research on how research is funded, organised, conducted, communicated, and evaluated. Our first editorial: www.tandfonline.com/doi/full/10.... #ResearchOnResearch #MetaScience #OpenScience #STS
tandfonline.com
Introducing the Journal of Research on Research (J·ROR): aligning constellations and communities
Published in Journal of Research on Research (Vol. 1, No. 1, 2026)
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