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Stefano Coretta

@scoretta.bsky.social
359 followers 406 following 219 posts

Lecturer/Assistant Prof at UoE — Research Methods, Statistics, Open Research, Non-dual monism — #neurodiverse #lgbtq #chronicillness stefanocoretta.github.io

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Reposted by Stefano Coretta
Andrew Gelman et al. @statmodeling.bsky.social · 10/10/2026
The problem is noise, not N: why increasing the sample size isn’t all that. statmodeling.stat.columbia.edu/2026/10/10/t...
statmodeling.stat.columbia.edu
The problem is noise, not N: why increasing the sample size isn’t all that. | Statistical Modeling, Causal Inference, and Social Science
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Stefano Coretta @scoretta.bsky.social · 08/10/2026
Curious to hear everyone's thoughts: How do you (personally) define "Big Team Research"? (Using "research" instead of science because it is more inclusive and aligns better with my philosophical stance).
static.klipy.com
Ali Fed Ex: Olaf Curious
ALT: Ali Fed Ex: Olaf Curious
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Stefano Coretta @scoretta.bsky.social · 05/10/2026
I just got the joke of the title... 🤣 (I say /biːtə/, rather than /bɛɾɚ/). Anyway, congratulations! :)
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JsonGeller @jgeller1phd.bsky.social · 02/10/2026
link.springer.com/article/10.3...
link.springer.com
A beta way: A tutorial on Bayesian beta regression for psychological research - Behavior Research Methods
Rates, percentages, and proportions are common outcomes in psychology and the social sciences. These outcomes are often analyzed using models that assume normality, but this practice overlooks importa...
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James Balamuta @coatless.bsky.social · 04/10/2026
webrarian is a new R package. It turns a folder of R scripts and data into a static website where R runs in the visitor's browser, with no compute server and nothing to install. blog.thecoatlessprofessor.com/posts/introd... #rstats #webr #webassembly
A card for the R package webrarian. Large text reads "A folder in. A website out." On the left, a small card lists a folder named lab-01 holding lab.R, setup.R and a data folder. A red arrow points from it to a browser window that shows a scatterplot of car weight against miles per gallon with brick-red points. The address coatless-wasm.github.io/webrarian is on the card.
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Kieran Healy @kjhealy.co · 01/10/2026
RIP to everyone’s favorite p<0.05 factory
MTurk is closing
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Nicola Rennie @nrennie.bsky.social · 01/10/2026
If you missed today's @rinpharma.bsky.social workshop, here are a few of my favourite "quick fixes" for some common #ggplot2 issues 📊 1. Use {ggview} to preview plots at the same size and resolution as you want to save them with ggsave() to avoid the annoying resizing #RStats #DataViz
library(ggview)
ggplot(mtcars, aes(wt, mpg)) +
  geom_point() +
  canvas(
    width = 6, height = 4,
    units = "in",
    dpi = 300
  )
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Lisa DeBruine @debruine.bsky.social · 25/09/2026
❇️ I've updated Data Skills for Reproducible Research to v6.1. The Iteration & Functions chapter has been split in two and I've added some material on unit testing. It's a living textbook, so please submit issues if you find a mistake or something unclear. psyteachr.github.io/reprores-v6/...
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Jan Vanhove @janhove.bsky.social · 18/09/2026
New blog post: "Cluster analysis: A skeptic’s guide". In which I ask a few questions that social scientists wishing to identify hidden classes in their data ought to address. janhove.github.io/posts/2026-0...
A two-dimensional scatterplot showing a three-cluster solution.

Caption: "Figure 2: A visualisation of a Latent Profile Analysis fit. Such visualisations may help readers appreciate that the clusters aren’t nicely separated and that the researchers’ notion of clusters may not correspond to their own."Table of contents:

Refresher: What is cluster analysis?
What are the clusters for?
What clusters, exactly?
Does the pipeline work?
What does the solution look like?
When running follow-up analyses, how is the uncertainty in the cluster assignments taken into account?
Was it worth it?
Conclusion
References
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Julia M. Rohrer @dingdingpeng.the100.ci · 14/09/2026
Okay before I do write my screed about cluster analysis, please send me your favorite *positive* examples that illustrate the utility of the method!
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Andrew Heiss @andrew.heiss.phd · 05/09/2026
You can use this UN-approved Equal Earth projection right now in #rstats #gis #databs
library(tidyverse)
library(sf)
library(rnaturalearth)

world <- ne_countries() |> filter(sov_a3 != "ATA")

ggplot(data = world) +
  geom_sf() +
  coord_sf(crs = "+proj=eqearth") +
  theme_void()A basic world map using the Equal Earth projection
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Riccardo Fusaroli @fusaroli.eurosky.social · 05/09/2026
One of the things I find most fascinating in mathematical/computational thinking is the borrowing and development of model components from other domains. I need to model how different coders annotate a corpus? It's like occupancy models in ecology, with some twists! 1/
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Stefano Coretta @scoretta.bsky.social · 04/09/2026
Just generally, frameworks with fancy acronyms (rather than specific artefacts).
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Stefano Coretta @scoretta.bsky.social · 03/09/2026
I think we could do without a lot of pedagogical tools if everyone would first learn how to be reflective/reflexive.
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Stefano Coretta @scoretta.bsky.social · 03/09/2026
The textbook for my stats course has this section: stefanocoretta.github.io/qdal/ch-read... :)
stefanocoretta.github.io
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Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 02/09/2026
Last year, I publicly complained multiple times (see e.g. elevanth.org/blog/2025/07...) that the open access movement had been captured by publishers, and we are now worse off than before open access. Well people got mad at me for saying it. But I think things are still getting worse.
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JsonGeller @jgeller1phd.bsky.social · 17/08/2026
Been wanting to write this paper for a while: many experimental psychologists analyzing RTs with the ex-Gaussian in brms are doing it incorrectly. I've seen this mistake across several outlets. osf.io/preprints/ps...
osf.io
OSF
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Stefano Coretta @scoretta.bsky.social · 17/08/2026
Buffy is sooooo ahead of its time! One of my fav tv shows
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Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 13/08/2026
I am making my group read @kokkonut.bsky.social primer on continuous time models in ecology (doi.org/10.1111/2041...). Clearest presentation of Gillespie algorithm I've seen.
Comparison of deterministic and stochastic dynamics in the Lotka-Volterra predator–prey system. (a), four different limit cycles depicting deterministic predictions when starting the cycle at different densities for predators and prey, and (b–d) one run of a stochastic implementation of the same process using the Gillespie algorithm (starting at N1 = 1000, N2 = 100). The purple arrow in (a) exemplifies the problem with the Euler equation: Extrapolating from the current direction of change is prone to ‘miss the curve’. In (b–d), the first three cycles are in green, the next three in blue and the final three in red, to make it more visually clear that the system is not bound to always spiral outwards (from blue to red), the opposite can happen too (from green to blue), but the outwards movement is often observed last because it makes the population very prone to extinction. Other parameters: b = 2, B1 = 5, B2 = 1, a = 0.1, μ = 1, n = 150.
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Stefano Coretta @scoretta.bsky.social · 12/08/2026
"Human language is the most complex communication system found in nature." I wish we did not open papers with that statement.
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Stefano Coretta @scoretta.bsky.social · 18/06/2026
Been using Quarto Revealjs for presentation slides and hosting them on GitHub (with GitHub Pages). So each talk/presentation is basically a git-tracked Quarto Website project shared on GitHub. :)
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Stefano Coretta @scoretta.bsky.social · 21/05/2026
Indeed, that's not what I meant. :)
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Stefano Coretta @scoretta.bsky.social · 19/05/2026
I see a problem with that approach (neo-liberalism).
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Stefano Coretta @scoretta.bsky.social · 03/05/2026
Google ngram viewer of words scientism and scientistic. There is a steady increase of use until peak on 2019 and then decline.
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Stefano Coretta @scoretta.bsky.social · 30/04/2026
Misunderstanding of statistical significance has done a lot of damage which will take several generations to correct.
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Stefano Coretta @scoretta.bsky.social · 30/04/2026
I don’t think these labels are useful when applied to a single study. If they might be useful, then it’s not easy to make that assessment unless one has a full mechanistic account of the phenomenon at hand.
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Stefano Coretta @scoretta.bsky.social · 30/04/2026
I think there’s an internal/implicit pressure of having to stick an evidence weighting statements. It doesn’t seem to be enough to say “this is what I found”. People are compelled to add qualitative labels like “credible, meaningful, robust, clear”.
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Stefano Coretta @scoretta.bsky.social · 30/04/2026
The more I teach Bayesian stats the more I am surprised that students/researchers naturally go to “evidence weighting” and “credibility based on CrIs including 0 or not” despite me warning against it. It is probably so engrained in our minds that you just got back to it.
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Simon J. Greenhill @simongreenhill.bsky.social · 30/04/2026
This is possibly the most blatant case of citation farming I've seen. Quality control at Elsevier: www.chrisbrunet.com/p/third-edit...
chrisbrunet.com
Third Editor Fired in Elsevier's Citation Cartel Crackdown; Hundreds of Papers At Risk of Retraction
"This is not a series of coincidences; it is a blatant, industrial-scale quid pro quo."
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Nicola Rennie @nrennie.bsky.social · 29/04/2026
📊 Five #ggplot2 functions I wish I'd known about earlier 📊 I've written a short blog (with examples) of some of the lesser-known {ggplot2} functions and arguments that make it easier to create better charts! Link: nrennie.rbind.io/blog/five-gg... #RStats #DataViz
nrennie.rbind.io
Five ggplot2 functions I wish I’d known about earlier – Nicola Rennie
There are a few small tweaks you can make to your ggplot2 code to improve your charts. However, they’re not often mentioned. So here’s a few functions and arguments I wish I’d known about earlier.
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Stefano Coretta @scoretta.bsky.social · 30/04/2026
Congrats! 🙌 Looks interesting! Now I want to see how people will manage to misuse this… 🤣 I guess it’s inevitable (see how some people are still doing the Null Ritual, but Bayesian).
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Dan Quintana @dsquintana.bsky.social · 29/04/2026
Selecting an effect size for power analysis is hard. Many researchers fall back on Cohen's thresholds, but they have no empirical basis and vary wildly by field. Our new paper offers a better option: field-specific effect size distributions built from meta-analytic data doi.org/10.3758/s134...
Abstract
Effect sizes are useful for understanding the magnitude of study results and for planning new studies via power analysis.
However, despite their wide usage, effect sizes are often misinterpreted. This is mostly due to an over-reliance on general
effect size benchmarks that were not intended for broad application across diverse research fields. Inaccurate effect size
interpretations can lead to incorrect conclusions about the magnitude of study results and incorrect sample size estimates,
thereby increasing the likelihood of false-positive results. This article introduces the ESDist R package, which is designed
to calculate empirically derived effect-size benchmarks or a range of reliably detectable empirical effect sizes for a specific
research question or field of interest by computing effect size distributions (ESDs). This package can be used on data that
can be easily extracted from pre-existing meta-analyses to help researchers more accurately plan new studies or to better
understand how an individual study might relate to other studies in their field. ESDist includes a set of features that make it
easy to use in a priori power analysis. Moreover, the package includes a feature for estimating effect size benchmarks that
account for publication bias and are weighted by effect sizes' variances, which addresses existing limitations of using ESDs
for study planning or interpretation.
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Stefano Coretta @scoretta.bsky.social · 27/04/2026
Have you tried a different seed? 😈
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Stefano Coretta @scoretta.bsky.social · 27/04/2026
Mathematical formalisation of verbal process models is what we need in linguistics. (Note that this does not entail reductionism nor determinism nor other things associated with scientific realism, which I don’t agree with myself. I got your back, constructivist friends).
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Dan Quintana @dsquintana.bsky.social · 25/04/2026
Why are oxytocin study results so inconsistent? Methods get most of the blame, but the problem is also theoretical as existing accounts are too vague to falsify. In a new preprint, I formalise the Allostatic Theory of Oxytocin as a computational model osf.io/preprints/ps... 🧵
Oxytocin's effects on human behaviour are inconsistent across studies, persisting despite improvements in methodological rigour. Part of this problem is theoretical: existing verbal accounts do not specify predictions precisely enough to be falsified. Here I formalise the
Allostatic Theory of Oxytocin as a computational model, deriving eight testable propositions and evaluating each against simulation evidence. Three structural predictions that follow directly from the model's assumptions were confirmed. Of five genuinely discriminating tests, three were supported. The two unsupported propositions revealed boundary conditions the verbal theory could not identify. Formalisation underscored the importance of validating auxiliary assumptions
regarding optimal oxytocin dosing and the measurement of baseline endogenous oxytocin levels, without which tests of the theory cannot be conclusively interpreted. Altogether, this formalisation provides a more precise and falsifiable account of oxytocin's role in behaviour than
currently exists, and a template for incrementally refining verbal theories in psychology through formal specification.Figure 2. The allostatic theory of oxytocin as a directed graph. Each node is a variable in the equations, and each edge is a functional dependency. The graph complements the equations in Supplementary Text 1. Purple: oxytocin input Ω. Blue (solid border): the four oxytocin-dependent parameter functions specified by the verbal theory — sensing noise σ(Ω), learning rate α(Ω), prior weight w(Ω), and response gain γ(Ω). Blue (dashed border): the efferent coupling rate κ(Ω), a formalisation extension beyond the four verbal-theory components.
Grey: computation cascade operating each time step. Orange: environmental inputs — the predictive cue (pred. cue) feeds the observation, while the true current state drives passive body-state drift. Teal: body state y(t), driven by both passive drift toward s(t) (δ, oxytocin-independent) and efferent coupling toward x(t) (κ(Ω),
oxytocin-dependent). Red: output metrics: fitness f(t); allostatic load L(t); and efficiency E.
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Stefano Coretta @scoretta.bsky.social · 26/04/2026
I think a focus on “disruptiveness” might also be a good way of thinking of what universities can contribute to in terms of knowledge. And healing is another (basically what I think you called regenerative).
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Stefano Coretta @scoretta.bsky.social · 26/04/2026
I think removing the for-profit aspect is definitely a great step towards what university should be (in my view).
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Stefano Coretta @scoretta.bsky.social · 25/04/2026
“Does anybody still wear a hat?”
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Stefano Coretta @scoretta.bsky.social · 24/04/2026
The research crises, as part of the polycrisis, are not a “scientific” crisis, or a crisis of science. That’s in my opinion a reductive perspective that makes sense only within a demarcating orientation.
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Stefano Coretta @scoretta.bsky.social · 24/04/2026
I appreciate that there will be many researchers whose orientation is within the “scientific horizon” but in order to better understand research we also need also to think and talk about research while sublating or transcending the demarcation.
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Stefano Coretta @scoretta.bsky.social · 24/04/2026
A lot of meta-research discourse revolves around “science”. We need more discourse that focuses on research (beyond the demarcation “problem”).
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Evan Gordon @gordonneuro.bsky.social · 22/04/2026
I always assumed that brain function had to line up with cytoarchitectonics. It turns out I was wrong. Human cortex, especially PFC, is tiled by chains of functional patches that subdivide and interlink architectonic areas into parallel processing streams. www.biorxiv.org/content/10.6...
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Rasmus Puggaard-Rode @rpuggaardrode.bsky.social · 22/04/2026
praatpicture has a couple new features in the newly released version 1.8.0! You can now embed audio with a moving cursor to your figures (thanks Marina Cantarutti, and thanks to @sorensorensen.bsky.social for donating his voice!) 1/3
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Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 22/03/2026
Statistical Rethinking 2026 is done: 20 new lectures emphasizing logical and critical statistical workflow, from basics of probability theory to causal inference to reliable computation to sensitivity. It's all free, made just for you. Lecture list and links: github.com/rmcelreath/s...
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Michael Flynn @flynnpolsci.bsky.social · 13/04/2026
Finally finished up a blog post on estimating Bradley–Terry models using brms. www.m-flynn.com/posts/2025-1...
m-flynn.com
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Stefano Coretta @scoretta.bsky.social · 16/04/2026
We propose an ecolinguistic, holistic framework that disentangles method from epistemology and repositions language as emerging within dynamic, relational systems that include human and more-than-human actors.
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Stefano Coretta @scoretta.bsky.social · 16/04/2026
At the same time, constructivist and decolonial turns, while critically valuable, often remain entangled in colonial, extractivist, capitalist, hegemonic, and anthropocentric logics.
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Stefano Coretta @scoretta.bsky.social · 16/04/2026
Structuralism, we contend, is not inherently anti-social or anti-agentive but grounded in relationality; its caricature has contributed to theoretical fragmentation and epistemic silos.
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Stefano Coretta @scoretta.bsky.social · 16/04/2026
🎉 New position paper out with @jess-hampton.bsky.social 🌱 Beyond the horizon: A more-than-human and holistic approach to language 🌱 Out now in *Language & Ecology* www.ecolinguistics-association.org/_files/ugd/a...
ecolinguistics-association.org
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Riccardo Fusaroli @fusaroli.eurosky.social · 16/04/2026
I ported the notes to Quarto and now all the old links are broken 😅. Here the new link to the chapter on Bayesian models of cognition: fusaroli.github.io/AdvancedCogn... Working now on 3 chapters on models of categorization (exemplar, prototype, rule-based)
fusaroli.github.io
10  Bayesian Models of Cognition – Advanced Cognitive Modeling Notes
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