John Sakaluk

Andrews gets major edge for beautiful, thoughtful design and intuitive context (the Dems vs. GOP context will immediately click for many)

Felix's, though rougher/less intuitive, has an edge on "QRP realism", as I think cherry-picking outlier obs + "study didn't work: run again" were common QRPs

I also enjoy the p-hacker app by Felix Schönbrodt (@nicebread@scicomm.xyz on Mastodon): www.shinyapps.org/apps/p-hacker/.

There's also his companion p-checker app: shinyapps.org/apps/p-check..., useful for showing how p-hacked effects do (e.g., TIVA)/don't (e.g., Meta) "pop" in credibility metrics

YAYYYYYYYYYYYYYYYYYY BONNIE!

So much of your career chances are determined by whether you are working with a successful and supportive team.

I.e. Whether you are working with a line manager or mentor who hands down opportunities. Coauthorships on papers. Coapplicants on grant.

If you're not being given these, you MUST move.

GitHub - Cghlewis/freelancing_resources: Resources for data freelancers Resources for data freelancers. Contribute to Cghlewis/freelancing_resources development by creating an account on GitHub.

Over the last 3 years I've been collecting resources to share with people interested in data freelancing. I've recently compiled those resources in a GitHub Repository.

If you are interested in data freelancing, these resources may help you navigate that transition.

github.com/Cghlewis/fre...

This is how it's done: put the truth right there in the headline and sub headline.

That being said, I think some of the same magical patterns could be fit to certain initiatives/efforts in the OS movement. So I say all of this as a rabid supporter of some OS products (e.g., RRs) and a skeptic of others (e.g., preregistration outside of RRs) 🤷‍♂️

And I don't mean that figuratively. I mean people in the world today who think they are reality-bending sorcerers would look at some of how our business is conducted, and think "Those people have some serious $%&*ing magikal capabilities!"

To go a step beyond "storytelling"--and I think I made this argument, unhinged, in a conference room with @rogerthegs.bsky.social a handful of years ago--there is a legitimate and distressing overlap between A) contemporary social science practices and B) contemporary schools of *magical* practices

This looks awesome, though I have a very, very, very fuzzy memory of @minecr.bsky.social once-upon-a-time writing a really persuasive thread or piece (can't remember) to the effect of: we should stop trying to duck R's built-in contrast system (and bad things happen when we do). Ring any bells?

Looking for textbooks that did a good job walking out sum-to-zero coding (aka effect coding) versus treatment coding (aka dummy coding). Favorites?

Chapter 8 of Cohen, Cohen, West, and Aiken

Development of an Offline-Friend Addiction Questionnaire (O-FAQ): Are most people really social addicts? - Behavior Research Methods A growing number of self-report measures aim to define interactions with social media in a pathological behavior framework, often using terminology focused on identifying those who are ‘addicted’ to engaging with others online. Specifically, measures of ‘social media addiction’ focus on motivations for online social information seeking, which could relate to motivations for offline social information seeking. However, it could be the case that these same measures could reveal a pattern of friend addiction in general. This study develops the Offline-Friend Addiction Questionnaire (O-FAQ) by re-wording items from highly cited pathological social media use scales to reflect “spending time with friends”. Our methodology for validation follows the current literature precedent in the development of social media ‘addiction’ scales. The O-FAQ had a three-factor solution in an exploratory sample of N = 807 and these factors were stable in a 4-week retest (r = .72 to .86) and was validated against personality traits, and risk-taking behavior, in conceptually plausible directions. Using the same polythetic classification techniques as pathological social media use studies, we were able to classify 69% of our sample as addicted to spending time with their friends. The discussion of our satirical research is a critical reflection on the role of measurement and human sociality in social media research. We question the extent to which connecting with others can be considered an ‘addiction’ and discuss issues concerning the validation of new ‘addiction’ measures without relevant medical constructs. Readers should approach our measure with a level of skepticism that should be afforded to current social media addiction measures.

Had missed this absolutely brilliant paper. They take a widely used social media addiction scale & replace 'social media' with 'friends'. The resulting scale has great psychometric properties & 69% of people have friend addictions.

link.springer.com/article/10.3...

Withdraw from social media; deny uAlberta the free marketing of its "impact".
Teach strictly to the textbook; tell students it's too risky to express opinions outside of "legislated curriculum"
Grieve the impact of censorship; fuck with their workflow if they're gonna fuck with yours

I'm confident Florence's union will have something to say about this, but censorship wins when we all wait for the bureaucratic process to play out without registering our malcontent in other more immediate ways of protesting. Academics have tools/levers to do this, if they would but use them.

Reading this exchange has also been a good reminder that there's almost always someone who knows more about a certain thing than you do, and it can be tricky to remember that when many of us (incl. myself) wear the "hat" of method/quant person in our academic communities that hype our knowledge-base

This 🧵 has solidified for me a belief that there just are some scientific arguments that are harder to win than others, because the devil is in the belaboured boring-ass details, and those kinds of arguments are vulnerable to alternative positions that are easier (and more entertaining) to convey.

This sets up an interesting rhetorical asymmetry between the two; give me 100 MS vs. S debates, and I'd conjure the more entertaining and accessible take will be the MS camp's in 95 of them.

That doesn't mean that the MS are wrong and the S are right in this (or any) instance. But >

and is grounded in (all things considered) more accessible prose and argumentation.

The S-camp, in contrast is...not that. These kinds of arguments, and the writing needed to convey them, are often technical, dry, lengthy, detailed, and quite sober. Indeed, how does one make a proof funny? >

The second, and more prominent, is how distinctive the tone of MS discourse is, especially offset against this reply from those in the S-camp. MS argumentation is often amusing, clever, funny, biting, and at times, entertaining. The approach "works" in the sense that it creates a lot of engagement >

The gospel truth of this is beyond my paygrade, but this 🧵 illuminated a few interesting patterns to me:

The first is that, though the credibility discourse has brought a lot of attention to theory, a lot of its arguments and tools (incl. one's I've used) lean heavily into dustbowl empiricism.

Academic friends: what software or approaches are you using these days to keep track of your/your students' research projects? On sabbatical and needing some systems to stay in the know of how students' stuff is progressing. Don't want something super hardcore, but tracking stage/keeping notes, etc.

My editor font is comic sans

a man is wearing a colorful sweater and necklace and says that 's me ALT: a man is wearing a colorful sweater and necklace and says that 's me

10000%

How I, a non-developer, read the tutorial you, a developer, wrote for me, a beginner - annie's blog “Hello! I am a developer. Here is my relevant experience: I code in Hoobijag and sometimes jabbernocks and of course ABCDE++++ (but never ABCDE+/^+ are you kidding? ha!)  and I like working with ...

This funny post is making the rounds today, and while not intended (AFAIK) to be about git, I think the sentiments are very applicable to explaining the dearth of adoption amongst academics: anniemueller.com/posts/how-i-...

This is a great excerpt; can I trouble you for the source?

How I, a non-developer, read the tutorial you, a developer, wrote for me, a beginner - annie's blog “Hello! I am a developer. Here is my relevant experience: I code in Hoobijag and sometimes jabbernocks and of course ABCDE++++ (but never ABCDE+/^+ are you kidding? ha!)  and I like working with ...

"How I, a non-developer, read the tutorial you, a developer, wrote for me, a beginner" by Annie Mueller 😅 😂 😭

anniemueller.com/posts/how-i-...

💀

Figure 2 from preprint illustrating simulation workflow. From left to right, it goes from simulation grid, to generation function, to analysis function, to results table

Tidy simulation: Designing robust, reproducible, and scalable Monte Carlo simulations #StatsSky
arxiv.org/abs/2509.11741
It is not formally linked to the {tidyverse}, bit affinity is obvious.
The paper does a solid job in describing the simulation workflow, could be useful for intros to simulation