Señor Research Scientist, NPC at the Hertie School in Berlin 🇩🇪 via Princeton, Mannheim, Edinburgh and a bunch of other ivory towers that will probably be billiard balls and decorative boxes by the end of the decade.
Rome Statute appreciator. ..
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Señor Research Scientist, NPC at the Hertie School in Berlin 🇩🇪 via Princeton, Mannheim, Edinburgh and a bunch of other ivory towers that will probably be billiard balls and decorative boxes by the end of the decade.
Rome Statute appreciator.
Who knew that the M in M-bias stood for Monty?
Attenuation, heterogenous treatment effect, or plain old SUTVA violation?
So bring it on. We'll see what's standing when the dust settles.
3/3
But if thermodynamics is a guide, we should expect (hope, even) that in a truly mechanical theory, many will turn out distinct only because of our interests, like burning; others will just drop out, like caloric;
2/3
journals.sagepub.com/doi/full/10....
Some think they're just practically-derived motivating phenomena, like fire and rusting for thermodynamics
1/2
Reposted by David Papineau, Will Lowe
journals.sagepub.com/doi/full/10....
My Very Elegant Mother Just Sat Upon Nine Porcupines
Me [thinking furiously]: Aha! Feathers. I'd like to be hit by a ton of feathers, please.
Monster: You don't understand how weights works, do you?
Prob the most useful thing is to use the definitions as thinking tool, and ask which of say {controlled direct, natural/pure direct, component} effects are interesting for explanation. Your description earlier suggests component effects might be the right *sort* of thing.
I note in passing: in the no direct X->Y version, an X + Z model would condition on an instrument, which would be unfortunate for predictive power (plus helping Z->Y confounders)
tbh I find the mix of predictive comparisons and causal structure without causal estimands v confusing
In the first screenshot, that ideology mediates demographics _rather than_ demographics confound ideology seem like a very odd claim. In this structure both are true for different estimands.
In this structure, I think we'd want to say that both theories are correct – just fighting over how close to Y explanations should be – no?
Assume X is demographics, Z is ideology (as you do later) & that the X->Y path is negligible. Then X is a cause of Y, and Z is too, just nearer. Z screens off X from Y, so Z predicts Y best, X predicts Y but worse and a model with both is barely better than one with Z
*we thank an anonymous reviewer for this suggestion