Richard D. Morey
@richarddmorey.bsky.social
5.4K followers 810 following 500 posts
Statistics, cognitive modelling, and other sundry things. Mastodon: @[email protected] [I deleted my twitter account]
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richarddmorey.bsky.social
Paper drop, for anyone interested in #metascience, #statistics, or #metaanalysis! @clintin.bsky.social and I show in a new paper in JASA that the P-curve, a popular forensic meta-analysis method, has deeply undesirable statistical properties. www.tandfonline.com/doi/full/10.... 1/?
Cover page for the manuscript: Morey, R. D., & Davis-Stober, C. P. (2025). On the poor statistical properties of the P-curve meta-analytic procedure. Journal of the American Statistical Association, 1–19. https://doi.org/10.1080/01621459.2025.2544397 Abstract for the paper: The P-curve (Simonsohn, Nelson, & Simmons, 2014; Simonsohn, Simmons, & Nelson, 2015) is a widely-used suite of meta-analytic tests advertised for detecting problems in sets of studies. They are based on nonparametric combinations of p values (e.g., Marden, 1985) across significant (p < .05) studies and are variously claimed to detect “evidential value”, “lack of evidential value”, and “left skew” in p values. We show that these tests do not have the properties ascribed to them. Moreover, they fail basic desiderata for tests, including admissibility and monotonicity. In light of these serious problems, we recommend against the use of the P-curve tests.
Reposted by Richard D. Morey
gremlin.world
I will never not repost this

(Sound on for maximum effect)
Reposted by Richard D. Morey
olivia.science
yup! if anybody reading or otherwise needs a primer Guest, O. & Martin, A. E. (2021). How Computational Modeling Can Force Theory Building in Psychological Science. Perspectives on Psychological Science. doi.org/10.1177/1745...

bsky.app/profile/oliv...
olivia.science
I'm looking back at this paper written 2019 & published 2021 with @andreaeyleen.bsky.social: How Computational Modeling Can Force Theory Building in Psychological Science (pdf: oliviaguest.com/doc/guest_ma...) We presented a positive view and kind, if I do say so myself, compatibilist stance. 1/
fig 2 in Guest, O., & Martin, A. E. (2021). How Computational Modeling Can Force Theory Building in Psychological Science. Perspectives on Psychological Science, 16(4), 789-802. https://doi.org/10.1177/1745691620970585
richarddmorey.bsky.social
My argument has always been that the “skills” needed to use it without being fooled are critical thinking and research which is supposed to be what we already teach anyway. But people are advocating for it’s use in thinking and research so obviously something is off.
richarddmorey.bsky.social
Also - contrast b/w the response when I advocate teaching R instead of SPSS -- "No hurry, let's not rush into it" (still waiting) -- & others re: use of LLMs -- "It's inevitable, we're behind; need it implement it ASAP!" -- is telling. Learning to code is freeing. Overhyped LLMs create dependency.
Excerpt from Guest & van Rooij, 2025:

As Danielle Navarro (2015) says about shortcuts through us-
ing inappropriate technology, which chatbots are, we end up dig-
ging ourselves into “a very deep hole.” She goes on to explain:

"The business model here is to suck you in during
your student days, and then leave you dependent on
their tools when you go out into the real world. [...]
And you can avoid it: if you make use of packages
like R that are open source and free, you never get
trapped having to pay exorbitant licensing fees." (pp.
37–38)
richarddmorey.bsky.social
Mathematical psychology uses simulation as well, to understand models that are too complex to understand completely without it. It can help uncover surprising behaviour or predictions. Crucially, the sims are helping understand models, not people. The *psychological* knowledge is gained elsewhere.
richarddmorey.bsky.social
For me this is a hard red line in psychological science. If you advocate the use of "silicon samples" you do not understand what it is we're supposed to be doing (and likely don't understand LLMs, or are a grifter). Luckily I haven't seen much of this among people I'd consider my peer group.
Except from Table 1 of Guest & van Rooij, 2025:

3) Displacement of Participants

“I can use AI instead of participants to perform tasks and generate data.”

The providence of the data used in these models indicates it is not ethically sourced, falling below standards for our discipline, involving sweatshop labour and no consent for private data used in experiments. The output can contain direct original input data (i.e. double dipping), but smoothed to remove outliers, conform to our pre-existing ideas of what it should look like (data fabrication), and all-round irreplicable. Psychology is meant to study humans, not patterns at the output of biased statistical models.
richarddmorey.bsky.social
"Ultimately, contemporary AI is research misconduct"

I like it already :)
Reposted by Richard D. Morey
derekgottlieb.bsky.social
The most important and clarifying thing here is a literal definition of “loser shit”: "the dysfunctions that bad leadership is prone to, particularly an obsession with rules and norms: 'If I follow the rules, at least I can't be blamed when we lose.’"
Democrats Must Embrace War Mindset
We have exited a long period of peace and entered into a struggle not unlike war, in which all the old certainties have gone malleable and the future of the republic is at stake.
www.liberalcurrents.com
richarddmorey.bsky.social
see lots of folks talking up Scylla and the Sirens, but the real stuff is the crazy flute solo while fighting Polyphemus
Reposted by Richard D. Morey
olivia.science
"People don't necessarily realize this because if you try to explain to someone how AT Proto works, they immediately go to sleep, but let's try anyway."

🥲

azhdarchid.com/delusions-of...
Delusions of a Protocol
On vaporware as an ideological product.
azhdarchid.com
Reposted by Richard D. Morey
glupyan.bsky.social
A wild exchange with Gemini Pro 2.5. In preparing some examples for my seminar (cogsci-llms.netlify.app) I remembered @randomwalker.bsky.social old tweet about playing Rock paper scissors with LLMs. Decided to see what it's like now ....
Reposted by Richard D. Morey
rmcelreath.bsky.social
My first attempt to dispel concern with this kind of naive correlation filtering: It can arise from different causes and vanish in a properly specified model. Example: Data generated by this DAG

X –> Z –> Y

can have highly correlated X and Z. But in model Y ~ X + Z it won't show any "collinearity"
Reposted by Richard D. Morey
andyzax.bsky.social
While going through text messages from Kaleb—insert an image of Charlie Brown saying “sigh” here—I found this, from about a year ago. The point he was making applies to all of us.
I occasionally check in with Al, not just because there's filthy gig money in Al training but also to see where the tech is at, and ask it to write an essay about California by me and the results are always so bad, so unfixable, so obviously counterfeit, that it gives me motivation to write again. It just reminds me l'm the only entity that does what I do. Never mind getting more validation than that, it tells me l'm not a statistic.
richarddmorey.bsky.social
thank you for saying what we’re all thinking
richarddmorey.bsky.social
Another awesome video from Numberphile. I’m not going to spoil it, but I will say it is very relevant if you teach research methods (it not just statistical in a narrow sense) youtu.be/VwIKKBL4ldQ?...
We have statistical evidence that people are mildly psychic
YouTube video by Stand-up Maths
youtu.be
Reposted by Richard D. Morey
djnavarro.net
A few words on survey weights, why I'm embarrassed to have forgotten to take them into account in the past, and how I got lucky because I personally didn't get burned. Not a mistake I intend to repeat in the future

blog.djnavarro.net/posts/2025-0...
Some notes on survey weights – Notes from a data witch
An area of statistics in which the author is not strong, and really needs to up her game
blog.djnavarro.net
Reposted by Richard D. Morey
markrubin.bsky.social
Report on Australian Higher Education finds:

🔹️ Council members have no lived experience of universities

🔹️ Council members have COIs with consultancy firms

🔹️ Council meetings are closed affairs that lack transparency

🔹️ Leaders' exorbitant salaries could not be justified
One submission said leaders’ salaries could not be “justified by the quality of executive decision-making, nor by the scope of executive duties. The core business of a university – teaching and research – is co-ordinated virtually entirely by ordinary non-executive staff”.
Reposted by Richard D. Morey
jwolondon.bsky.social
A great post from @djnavarro.net, providing an accessible explanation of why statistics that can appear to reveal our ignorance may actually do the opposite. Makes excellent use of #datavis to provide visual support for the argument.

blog.djnavarro.net/posts/2025-0...
Some notes on probability judgement – Notes from a data witch
For the love of fuck, literally nobody thinks that 20% of the population is transgender. Please stop sharing that ridiculous YouGov statistic
blog.djnavarro.net
Reposted by Richard D. Morey
irisvanrooij.bsky.social
There is absolutely no good faith reason to use the term “AI” for any technology one is selling.

It serves only for dazzling people into thinking the technology has capabilities that it doesn’t.

If one wants a technology to be trustworthy, just use a transparent, informative term without hype.
Reposted by Richard D. Morey
kityates.bsky.social
If I was a tutoring company and I wanted to convince you that I could teach your kids maths, I would probably not have an advert that said “3=2” on it!

That’s just me though.
richarddmorey.bsky.social
“Going through the motions”
Reposted by Richard D. Morey
themerl.bsky.social
yeah we're into LLMs (Large Lamb-bridge Models)
A herd of sheep move across a marshy bridge.
richarddmorey.bsky.social
Ha, I'm way to deep in this stats hole to crawl out, but a class is still a good idea! There must be something in SE Wales.