iiinova — where your digital self keeps evolving

Reposted by Jonathan M. Fawcett

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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Reposted by Jonathan M. Fawcett

Mona Niethammer @monaniethammer.bsky.social · 15/07/2026

📢 Correction: The correct email address is multi.analyst@stat.uni-muenchen.de. We look forward to hearing from you!

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Reposted by Jonathan M. Fawcett

Daniel Lakens @lakens.bsky.social · 19/05/2026

Reviewing a paper, and it is so nice that the Metacheck R package we made allows me to download all OSF Files by just typing: metacheck::osf_file_download("2w123") (not the actual repo). All files are downloaded, maintaining the folder structure, without any hassle.

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Jonathan M. Fawcett @jmfawcet.bsky.social · 13/05/2026

Are you interested in the weapon focus effect? How about using virtual reality to study eyewitness memory? Here's a piece about some work from our group on the topic. Also, nice to see NeuroFog lab members Mikayla, Soheil and Chloe featured in the thumbnail!

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Reposted by Jonathan M. Fawcett

International Conference On Memory 26-30 July 2027 in Glasgow @icom-memory.bsky.social · 28/04/2026

🧠 ICOM is back! The International Conference on Memory (ICOM7) returns 26–30 July 2027 in Glasgow, bringing together researchers from neuroscience, psychology, and beyond. 🔗 Learn more and sign-up for the newsletter here: icom-memory.org #ICOM7 #MemoryResearch #Neuroscience #Psychology

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Reposted by Jonathan M. Fawcett

Wolfgang Viechtbauer @wviechtb.bsky.social · 27/04/2026

A new version (5.0-1) of the metafor package has been released on CRAN. It includes some smaller updates, including more ways to visualize prediction intervals / distributions. Further details here: www.metafor-project.org/doku.php/new... #Rstats #MetaAnalysis

A forest plot with various methods for visualizing the prediction interval / distribution at the bottom.

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Reposted by Jonathan M. Fawcett

Noah Pevie @noahpevie.bsky.social · 28/04/2026

This is so cool! 👀✨

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Jonathan M. Fawcett @jmfawcet.bsky.social · 23/04/2026

Congrats to former NeuroFog lab member @noahpevie.bsky.social - I know he's been working on this one for a long time! Good to finally see it out :)

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Reposted by Jonathan M. Fawcett

Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 21/04/2026

Giving a short presentation later today to my institute's external advisory board. This slide summarizes the last 3 years of my department's efforts

picture of two firefighters trying to extinguish a very large dumpster fire with a small hose. text on dumpster: INFERENCE IN THE BIOLOGICAL SCIENCES. text on fire fighters: ME AND MY FRIENDS

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Reposted by Jonathan M. Fawcett

Rob Calver @robcalver.bsky.social · 13/04/2026

Very excited to announce that the #BayesianWorkflow book by @statmodeling.bsky.social, @avehtari.bsky.social, @rmcelreath.bsky.social et al publishes in June! routledge.com/9780367490140 #RStats #DataScience #Bayesian

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Jonathan M. Fawcett @jmfawcet.bsky.social · 04/04/2026

Our meta-analysis of the prevalence of infant abuse made the cover of eClinicalMedicine! Core finding: It'a more common than you think. Congrats to NeuroFog members Ada Vaziri and Chelsea Lahey, lead author Cora Keeney and co-senior author Nichole Fairbrother (and everyone, else too, of course!)

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Reposted by Jonathan M. Fawcett

Daniel Lakens @lakens.bsky.social · 14/03/2026

I wish more people knew this. Power analysis should be based on the smallest effect size of interest. Not on a guess, or a hope. You also need to specify that effect to make your claim falsifiable, and to know when the effect is statistically significant, but practically irrelevant.

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Reposted by Jonathan M. Fawcett

Marcus Crede @marcuscrede.bsky.social · 01/03/2026

We recently submitted a commentary on a very influential meta-analysis. We found that: 1) 40% of relevant literature had not been identified because of lazy search, 2) a few large N included studies did not meet stated inclusion criteria, and 3) that almost all sig. moderator findings were wrong.

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Reposted by Jonathan M. Fawcett

Department of Psychology - Memorial University of Newfoundland @munpsych.bsky.social · 05/02/2026

Congratulations to Ashlee Coles and colleagues on their recent publication highlighting important findings related to the prevalence of comorbid cannabis use disorder in veterans with PTSD and the adult general population with anxiety and related disorders. Read more: shorturl.at/6e128

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Reposted by Jonathan M. Fawcett

Daniel Lakens @lakens.bsky.social · 12/02/2026

Final keynote and talk of the #PSE8 conference, by František Bartoš, University of Amsterdam, talking about the idea of robustness reports.

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Jonathan M. Fawcett @jmfawcet.bsky.social · 12/02/2026

Check out this recent paper from NeuroFog and AWE lab members exploring the prevalence of obsessions relating to harming oneself or others in OCD! It's more prevalent than many people realize.

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Reposted by Jonathan M. Fawcett

Department of Psychology - Memorial University of Newfoundland @munpsych.bsky.social · 12/02/2026

Congrats to Quinn Morris, Chelsea Lahey, Olivia Bishop, Concordia co-authors & Drs. Josh Rash, Jacqueline Carter, Jonathan Fawcett & Emily Fawcett on a new meta-analysis! They found that ~70% of people with OCD report aggressive obsessions in their lifetime. shorturl.at/tJS4n

Screenshot of the article titled "The prevalence and predictors of aggressive obsessions in obsessive-compulsive disorder: A meta-analytic review"

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Reposted by Jonathan M. Fawcett

Canadian Psychological Association @canadianpsychology.bsky.social · 11/02/2026

New online-first in the Canadian Journal of Experimental Psychology: 'Effects of valence and list composition on memory predictions, performance, and beliefs' - MacMillan, M. B., Churchill, L. A., & Hourihan, K. L. buff.ly/0BGSGkb

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Jonathan M. Fawcett @jmfawcet.bsky.social · 23/01/2026

Congrats to former NeuroFog member @noahpevie.bsky.social on his new measurement-y pre-print!

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Reposted by Jonathan M. Fawcett

Solomon Kurz @solomonkurz.bsky.social · 14/01/2026

The 0.5.0 version of my {brms} + {tidyverse} translation of McElreath's "Statistical Rethinking" (2nd ed) is up! solomon.quarto.pub/sr2/ 1/3 #rstats

solomon.quarto.pub

Statistical rethinking 2 with rstan and the tidyverse

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Jonathan M. Fawcett @jmfawcet.bsky.social · 07/01/2026

If you're a Clinician looking for a faculty position, or knows someone who is, have I got some great news for you! Memorial University is hiring 2 Open Rank positions! We're practically the North American gateway to Europe!

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Reposted by Jonathan M. Fawcett

Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 04/01/2026

Getting my new slides in shape. I have it on good authority that the typeface I have chosen is "woke" (aka sans serif)

title slide for Statistical Rethinking 2026 Lecture 1: Introduction to Bayesian workflow. The typeface is Atkinson Hyperlegible, a very readable sans serif typeface.

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Reposted by Jonathan M. Fawcett

Solomon Kurz @solomonkurz.bsky.social · 02/01/2026

The 1.3.0 version of my {brms} + {tidyverse} translation of Kruschke's "Doing Bayesian data analysis" is up! solomon.quarto.pub/dbda2 #rstats 1/8

solomon.quarto.pub

Doing Bayesian Data Analysis in brms and the tidyverse

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Reposted by Jonathan M. Fawcett

Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 27/12/2025

Including the old black cat adoptions survival analysis example as a case study in the forthcoming Bayesian Workflow book. This is presented as a whole incremental workflow with simulation, validation, and model comparison. Just now went through code and extra-commented and cleaned. Getting close!

$Incremental development and testing: Black cat adoptions Even when we know the final statistical model that we want to use for inference, we should not try to write it directly. It is better to develop simpler, incremental models and test each with synthetic data. This helps us to avoid the frustration of trying to debug a complex model. Large models can and usually do fail in multiple ways, due to a poison salad\subjindex{poison salad} of coding errors, misspecification, and estimation challenges. % Being smart means working smart. By starting with a simple, minimal model and adding one feature at a time, we have a better chance of knowing which portion of the model code is responsible for an error, misspecification, or poor convergence. This case study builds the target statistical model in several steps, while using synthetic data simulation to help construct and test each incremental model. This helps us construct the model, notice and evaluate alternative implementations, and better understand how the model performs. This case study also provides an example of survival analysis with censoring. This kind of problem is commonplace---there are observations that are only partially observed, and we need to use all the information, even if only partial. Bayesian implementation provides two different ways to implement censored observations, by using cumulative distributions corresponding to the ordinary data model or by treating each censored value as partially observed and imputing it using the data model. Neither approach is always superior, and each helps us understand the model better. We'll show you both. Another benefit of this kind of example is the generative model of the sample and the statistical model necessarily differ. We often say Bayesian models are generative, they can be used to simulate observations. And that's true. But it isn't always true of every aspect of the model. In the case of censored values, the censoring is part of the observation m…$ Prior predictive distribution of waiting times for the first adoption model (without
censoring). Each curve is a survival plot for an individual prior simulation. Black curves correspond
to black cats. Orange curves correspond to all other cat colors.

Prior predictive distribution of waiting times for the first adoption model (without
censoring). Each curve is a survival plot for an individual prior simulation. Black curves correspond
to black cats. Orange curves correspond to all other cat colors.

Posterior predictive distributions of waiting times for the first adoption model (without
censoring). Each curve is a survival plot for an individual posterior simulation. Black curves
correspond to black cats. Orange curves correspond to all other cat colors.

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Jonathan M. Fawcett @jmfawcet.bsky.social · 07/12/2025

This. I often justify sample size based on resources (participants are rare here). Every review demands a priori power analysis. Then, most papers I read include incorrectly conducted and interpreted power analyses. Editors often don't care they are incorrect if told. Statistical rituals at work.

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Reposted by Jonathan M. Fawcett

Department of Psychology - Memorial University of Newfoundland @munpsych.bsky.social · 17/11/2025

New research from Drs. Jonathan Fawcett and Kathleen Hourihan, alumni Hannah Willoughby and Jenny Tiller, and team found that reading aloud triggers larger pupil dilation than reading silently, suggesting that speaking aloud enhances attention and encoding. See full article: shorturl.at/MRQRA

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Reposted by Jonathan M. Fawcett

Department of Psychology - Memorial University of Newfoundland @munpsych.bsky.social · 27/10/2025

A meta-analytic review of 16 studies found that body dysmorphic disorder (BDD) symptoms were significantly more strongly correlated with symptoms of social media addiction than with the number of hours spent on social media per day. Read more: doi.org/10.1080/1521...

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Jonathan M. Fawcett @jmfawcet.bsky.social · 18/11/2025

Did you know your pupils get bigger when you're thinking harder? Are you interested in understanding why reading something aloud helps you remember it better? Check out this recent paper by multiple current and former NeuroFoggies using pupil dilation to study the production effect!

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Reposted by Jonathan M. Fawcett

Daniel Lakens @lakens.bsky.social · 08/11/2025

My Shiny app containing 3530 Open Science blog posts discussing the replication crisis is updated - you can now use the SEARCH box. I fixed it as my new PhD Julia wanted to know who had called open scientists 'Methodological Terrorists' :) shiny.ieis.tue.nl/open_science...

shiny.ieis.tue.nl

Open Science Blog Browser

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Jonathan M. Fawcett @jmfawcet.bsky.social · 22/10/2025

Congratulations to former NeuroFoggies Brooke and @noahpevie.bsky.social on their recent paper (it is Brooke's inaugural first author paper)!

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Jonathan M. Fawcett @jmfawcet.bsky.social · 02/10/2025

If you're interested in OCD, particularly aggressive obsessions, here is a new meta-analysis from NeuroFog and AWE lab members exploring the prevalence of such obsessions in youth! Proud of the hard work everyone put into this one.

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Reposted by Jonathan M. Fawcett

Faculty of Science, Memorial University @memorialuscience.bsky.social · 25/09/2025

Congratulations to Drs. Lindsey Cahill and Sohrab Zendehboudi on becoming members of the prestigious @src-rsc.bsky.social’s College of New Scholars, Artists and Scientists! 🎉 We could not be prouder! Read more about their backgrounds and research here: gazette.mun.ca/research/int...

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Reposted by Jonathan M. Fawcett

Faculty of Science, Memorial University @memorialuscience.bsky.social · 04/09/2025

Maliha Dew, a recent undergraduate honours recipient in @munpsych.bsky.social took home the Donald O. Hebb Student Award from the recent CSBBCS/ @exppsychsoc.bsky.social‬ conference in Dundee, Scotland! Congratulations Maliha, and all the best in pursuing your Masters in Clinical Psychology! 🧠

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Reposted by Jonathan M. Fawcett

Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 13/08/2025

I welcome the death of google scholar so that h-index can also die - a weird proxy metric ("the largest h such that h articles have at least h citations each") that become ubiquitous seemingly because some google engineer added it to a side project

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Reposted by Jonathan M. Fawcett

Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 12/08/2025

It's like an episode of black mirror in which, instead of fixing the poisonous two-sided market that favors oligopoly publishers, funding orgs decide to try out *price controls*.

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Reposted by Jonathan M. Fawcett

MUN Psych & Law Lab @munpsychlawlab.bsky.social · 05/07/2025

Our new meta-science collaboration on @lhb-apls.bsky.social, Statistical Reporting Practices within Forensic Psychology, under the lead of Dr. Joseph Eastwood, Dr. Kirk Luther @kirkluther.bsky.social, and Dr. Brent Snook. We examined the stats evolution of field over 20 years doi.org/10.1037/lhb0...

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Reposted by Jonathan M. Fawcett

Julia M. Rohrer @dingdingpeng.the100.ci · 05/07/2025

“The extremity of this implicit rule needs to be recognized: academia, the industry whose main purpose is truth discovery, is surprisingly uncomfortable with people pointing out things that are not true.”

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Reposted by Jonathan M. Fawcett

Iris van Rooij 💭 @irisvanrooij.bsky.social · 28/06/2025

“Even the term 'Artificial Intelligence' … is widely misused, with conceptual unclarity coopted to advance industry agendas and undermine scholarly discussions. It is our task to demystify and to challenge 'AI' in our teaching, research & engagement with society.” openletter.earth/open-letter-...

openletter.earth

Open Letter: Stop the Uncritical Adoption of AI Technologies in Academia

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Solomon Kurz @solomonkurz.bsky.social · 14/04/2025

The 1.2.0 version of my #brms + #tidyverse translation of Kruschke’s "Doing Bayesian data analysis" is up! bookdown.org/content/3686/ 1/3 #rstats

bookdown.org

Doing Bayesian Data Analysis in brms and the tidyverse

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Julia M. Rohrer @dingdingpeng.the100.ci · 12/06/2025

"Simpson's gender-equality paradox" surely deserve some award for best title 👑 The gender-equality paradox seems really central to some narrative people have constructed (and successfully sold). I absolutely wouldn't be surprised if it turned out 100% confounding.> www.pnas.org/doi/10.1073/...

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Department of Psychology - Memorial University of Newfoundland @munpsych.bsky.social · 09/06/2025

Support local and come see The Ames Window (a psychedelic instrumental rock band made up of people from the Psychology Department) perform at the Black Sheep to kick off #CPA2025! All attendees will get 50% off cover, and if you're a student at MUN or CPA2025, it's free!

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Reposted by Jonathan M. Fawcett

Department of Psychology - Memorial University of Newfoundland @munpsych.bsky.social · 27/05/2025

Brains, heart, and a whole lot of hard work! Congratulations to the Psychology and Behavioural Neuroscience Class of 2025. Wishing you all the best in every chapter ahead.

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Michael C. Anderson @memorycontrol.bsky.social · 20/05/2025

How does the brain stop thoughts? Find out in my article in @natrevneuro.nature.com with Subbu Subbulakshmi & Maite Crespo-Garcia www.nature.com/articles/s41... that integrates 25 yrs of psychology and neuroscience on this vital function.@mrccbu.bsky.social sky.social #neuroskyence #neuroscience

nature.com

Brain mechanisms underlying the inhibitory control of thought - Nature Reviews Neuroscience

The capacity to prevent unwanted thoughts is important for cognitive function and mental health. Anderson et al. describe insights into the neural mechanisms of the inhibitory control of thought that ...

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