Analyze shared links from Casual Inference

The social network this podcast cites the most is Instagram (1 unique links). Another source it references often is X (61 links). The most cited link overall is a Other link, mentioned 65 times. Everything above comes straight from the public descriptions the creators wrote themselves. We don't add, remove, or assume anything.

Service

The table below shows each link, how many times Casual Inference has used it, and which other podcasts have cited the same link.

Link	#	Other Shows
https://josephmcdade.com/music	65
https://twitter.com/lucystats	59	—
https://twitter.com/epiellie	59	—
https://twitter.com/amjepi	59	—
https://twitter.com/allison_horst	21	—
http://cambopp.com/	16	—
http://aspiringrobot.com/	11
https://regressiontothemeangirls.com/	11
https://www.lucymcgowan.com/	10
https://www.sarahlotspeich.com/	10
https://open.spotify.com/show/6L5PaIieWX4uNz06tCPcKp	9	—
https://podcasts.apple.com/us/podcast/regression-to-the-mean-girls/id6807111816	9	—
https://www.instagram.com/regressiontothemeangirls	8
https://bsky.app/profile/lucystats.bsky.social	7	—
https://bsky.app/profile/epiellie.bsky.social	7	—
https://www.medrxiv.org/content/10.1101/2021.08.25.21262631v2	4	—
https://www.emilyriederer.com/	3	—
https://tlverse.org/tlverse-handbook/	2	—
https://github.com/tlverse	2	—
https://twitter.com/nshejazi	2	—
https://www.medrxiv.org/content/10.1101/2024.04.08.24305335v1	2	—
https://www.jstor.org/stable/44955325	2	—
https://ctml.berkeley.edu/publications/targeted-learning-handbook-causal-machine-learning-and-inference-tlverse-r-software	2	—
https://pubmed.ncbi.nlm.nih.gov/33475686/	2	—
https://academic.oup.com/jrsssb/article/86/1/1/7043257	2	—
https://academic.oup.com/jrsssa/article/184/2/407/7056412	2	—
https://arxiv.org/abs/1906.07801	2	—
https://codex.nimahejazi.org/ser2023_mediation_workshop/	2	—
https://pubmed.ncbi.nlm.nih.gov/38458870/	2	—
https://www.andrewheiss.com/blog/2022/11/29/conditional-marginal-marginaleffects/	2	—
https://www.pnas.org/doi/full/10.1073/pnas.2302528120	2	—
https://www.stat.cmu.edu/~aramdas/	2	—
https://ctml.berkeley.edu/introduction-causal-inference	2	—
https://arxiv.org/abs/2210.01948	2	—
https://www.tandfonline.com/doi/full/10.1080/01621459.2023.2187814	2	—
https://academic.oup.com/book/616	2	—
http://cambopp.com	2	—
https://ctml.berkeley.edu/	2	—
https://pubmed.ncbi.nlm.nih.gov/37900353/	2	—
https://www.stat.cmu.edu/~aramdas/gtpsl/index.html	2	—
https://arxiv.org/abs/2103.06476	2	—
https://academic.oup.com/aje/article/193/4/673/7425624	2	—
https://ed.ted.com/lessons/this-one-weird-trick-will-help-you-spot-clickbait-jeff-leek-and-lucy-mcgowan	2	—
https://www.kfyrtv.com/2024/03/28/faye-norby-finishes-iditarod-trail-womens-foot-champion/?outputType=amp	2	—
https://academic.oup.com/aje/article/188/8/1569/5486454	2	—
https://doi.org/10.1186/s12919-023-00285-8	2	—
https://onlinelibrary.wiley.com/share/W2FMEESMMSJMWDEZYY8Y?target=10.1111/obes.12598	2	—
https://twitter.com/AmJEpi/status/1171866941906026496	2	—
https://nickchk.com	2	—
https://theeffectbook.net/	2

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