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WeRateDAGs

@weratedags.com

380 followers 1 following 10 posts

We rate DAGs. (If you were hoping for dogs, try here: @weratedogs.com)

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WeRateDAGs @weratedags.com · 1d

Hello Bluesky!

We rate DAGs. Some are great. Some are... not so great. But we rate them all.

Let's start with a famous powerpoint hairball a.k.a. "the Afghanisdag", presented to Gen. Stanley A. McChrystal around 2010. His own rating?

1/10 "When we understand that slide, we'll have won the war"

"the Afghanisdag", a massive tangle of arrows and noun phrases, possibly describing a counterinsurgency problem: lethal within 20ft in briefing environments.

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WeRateDAGs @weratedags.com · 7h

😵‍💫

WeRateDAGs @weratedags.com · 8h

Conditioning on a match indicator S can generate collider bias exactly cancelling a confounding path and identifying the effect of Z on X. Here it is in a very good DAG.

9/10 because of the functional form specificity.

From Steiner et al. (2017) "Graphical Models for Quasi-experimental Designs"

S is a match indicator used as a selection node to cancel the Z-X association. We think selection nodes in DAGs are underrated and we're going to fix it.

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WeRateDAGs @weratedags.com · 8h

A very aerodynamic DAG here from Jens, induced from polling data, linearity assumptions and weed.

We're not sure that was a good idea, but there is a pub node, so we'll say 4/10

Jens von Bergmann @jensvb.bsky.social · Jun 13

That’s a lot of copium. Also kind of interesting what is being passed off here as causal analysis…

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WeRateDAGs @weratedags.com · 1d

We couldn't not rate this classic early DAG by our beloved collective granddagy, Sewall Wright.

14/10. Ten for the DAG, plus one for each cute guinea-pig node.

From Wright (1920) "The Relative Importance of Heredity and Environment in Determining the Piebald Pattern of Guinea-Pigs"

Why are guinea-pigs the colours they are? Sewall's got a DAG for that.

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Reposted by WeRateDAGs

Matt Parkes @mattyjparkes.bsky.social · 1d

@weratedags.com Saw this one *years* ago, but it's lived in my mind rent-free ever since.

Hi-res: assets.publishing.service.gov.uk/government/u...

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WeRateDAGs @weratedags.com · 1d

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WeRateDAGs @weratedags.com · 1d

People sometimes ask why we want to rate DAGs. Couldn't we just rate statistical models instead?

We like to explain it with capybaras and bicycles.

Causal inference with DAGs is just like capybaras on underwater bicycles. Any questions?

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WeRateDAGs @weratedags.com · 1d

More DAG ratings here to lighten your hearts and provide that warm feeling of d-connectedness.

Per Engzell @pengzell.bsky.social · 1d

A bold DAG. Chaotic good energy. Might collapse under its own causal density. 13/10 would condition again.

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WeRateDAGs @weratedags.com · 1d

A palate cleanser: 'The causal structure of banana'. Robust, simply structured, and convenient. 8/10. The DAG is nice too.

This is the first of three bananadags in Hitchcock (2016) "Conditioning, intervening, and decision".

"Fig 1. The causal structure of Banana"

(Apparently your favourite mid-morning snack is a mediation problem)

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WeRateDAGs @weratedags.com · 1d

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WeRateDAGs @weratedags.com · 1d

Hi there!

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