Vilgot Huhn
@vilgothuhn.bsky.social
260 followers 540 following 620 posts
Confused PhD student in psychology at Karolinska Institutet, Stockholm. GAD, ICBT, mechanisms of change. Organizing the ReproducibiliTea JC at KI. Website: https://vilgot-huhn.github.io/mywebsite/ Personal blog at unconfusion.substack.com
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vilgothuhn.bsky.social
You know I think you should have the decency to be a bit uncomfortable with the moral conundrums we face in life, that’s all.
vilgothuhn.bsky.social
Though to be a bit more humble I guess that reaction is itself "not engaging deeply in the literature".
vilgothuhn.bsky.social
We sometimes complain about the lack of ambitious theory building but on the other hand when I come across it I often get a feeling that the authors are moving too fast, not deeply engaging in the nuances of the literature, prematurely leaping ahead.
vilgothuhn.bsky.social
*perfect line. damn autocorrect
vilgothuhn.bsky.social
I think your point here works well with this wibbly wobbly table analogy that I just made (maybe?)
Like the fact that the corners of the plane get wobbly doesn't mean we get worse predictions for the flattened cloud of datapoints. (Just based on visual intuition.)

bsky.app/profile/vilg...
vilgothuhn.bsky.social
I think this works as an intuitive explanation for multicolinearity, right? When the cloud is flat the plane is attached in a very stable way. The table has many legs. But when we flatten that cloud with an association between X2 and X2 the table becomes "wobbly" orthogonal to that axis.
vilgothuhn.bsky.social
I think this works as an intuitive explanation for multicolinearity, right? When the cloud is flat the plane is attached in a very stable way. The table has many legs. But when we flatten that cloud with an association between X2 and X2 the table becomes "wobbly" orthogonal to that axis.
vilgothuhn.bsky.social
Personally I notice I’m spending more and more time here and less and less on the other place. On the other hand I think any imitation of the hellsite is itself the hellsite. (But there are multiple circles of hell)
vilgothuhn.bsky.social
I find it interesting that the idea of a robot rebellion is exactly as old as the word ”robot” (from the 1920 play Rossumovi Univerzální Roboti)

en.wikipedia.org/wiki/R.U.R.
R.U.R. - Wikipedia
en.wikipedia.org
vilgothuhn.bsky.social
spuriouser and spuriouser
vilgothuhn.bsky.social
Still better design that catholicism which you can just cheese at the final level if you use deathbed confession
vilgothuhn.bsky.social
Yeah tbh people said it would be hard but as long as you apply effortless effort (basically don’t attack and dodge all the time) it’s gg. Heard people talk striving would be incompatible with winning and only lead to more suffering but imo they just need to git gud at zen.
vilgothuhn.bsky.social
Here’s the idea in words:
A regression with two predictors is a plane through a cube. If we look at the cube from the top and x1 and x2 are strongly correlated we’ll see almost a percent line. Since that’s basically a line the plane would be free to wibble-wobble on that ”axis”.
vilgothuhn.bsky.social
So I thought of a visualization on the train for how multicolinearity works (maybe) but now I don’t have any computer access do make it/check it and I have clinical work all day. Pain.
vilgothuhn.bsky.social
Saw someone call the best model notation:

yᵢ ~ N(μᵢ, σ²)
μᵢ = a + bxᵢ

”Bayesian model notation” and there sure isn’t anything Bayesian about it (other than culturally)
vilgothuhn.bsky.social
The dream of the 2010s is alive in Portland 🎶
vilgothuhn.bsky.social
my new rule is that you’re not allowed to be interested in meta-science unless you’re also interested in science sorry.
vilgothuhn.bsky.social
that is a very clear answer i have no further questions
vilgothuhn.bsky.social
they are also in sweden. took me like twenty minutes on their buggy app to get the damn drop-box to open for me.
vilgothuhn.bsky.social
he's already worn a purple suit in wonka what more do you want?
vilgothuhn.bsky.social
In this context I think the problem is that even if you can explain the logic behind why "this is a Cohen's d" it's not necessarily comparable to other estimates that other call "a Cohen's d". The other problem is that it's often unclear in papers, at least to me, what has been done.
vilgothuhn.bsky.social
For me this was just a casual exploration that I hoped to discuss with colleagues. I had seen it done but I hadn't come across anyone who recommended it or why. The idea sort of makes sense to me, but so does other ideas, and the numbers differ quite a bit.
vilgothuhn.bsky.social
Here's how I thought about it at the time:
"One is trying to chose a SD to divide by and man isn't the residual kind of an SD? I mean the residual of an intercept only model (some call it an "empty model") is the same thing as the standard deviation around a mean."
vilgothuhn.bsky.social
I’ve seen it done a couple of times for model estimated within-group effect size, which in simulated data tended to give Big Number. Did a talk about this stuff on a (small casual) conference last year.