Analyze shared links from Casual Inference

The social network this podcast cites the most is Twitter (61 unique links). Another source it references often is Tik Tok (2 links). The most cited link overall is a Other link, mentioned 64 times. Everything above comes straight from the public descriptions the creators wrote themselves. We don't add, remove, or assume anything.

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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	64
https://twitter.com/epiellie	59	—
https://twitter.com/lucystats	59	—
https://twitter.com/amjepi	59	—
https://twitter.com/allison_horst	21	—
http://cambopp.com/	15	—
http://aspiringrobot.com/	11
https://bsky.app/profile/epiellie.bsky.social	6	—
https://bsky.app/profile/lucystats.bsky.social	6	—
https://www.medrxiv.org/content/10.1101/2021.08.25.21262631v2	4	—
https://twitter.com/nshejazi	2	—
https://tlverse.org/tlverse-handbook/	2	—
https://github.com/tlverse	2	—
https://www.jstor.org/stable/44955325	2	—
https://www.medrxiv.org/content/10.1101/2024.04.08.24305335v1	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://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	—
https://www.kfyrtv.com/2024/03/28/faye-norby-finishes-iditarod-trail-womens-foot-champion/?outputType=amp	2	—
https://codex.nimahejazi.org/ser2023_mediation_workshop/	2	—
https://academic.oup.com/aje/article/188/8/1569/5486454	2	—
https://doi.org/10.1186/s12919-023-00285-8	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://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	—
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://link.springer.com/article/10.1007/s40471-024-00346-2	2	—
https://ed.ted.com/lessons/this-one-weird-trick-will-help-you-spot-clickbait-jeff-leek-and-lucy-mcgowan	2	—
https://arxiv.org/html/2412.10635v1	2	—
https://publichealthpolicyjournal.com/vaccination-and-neurodevelopmental-disorders-a-study-of-nine-year-old-children-enrolled-in-medicaid/	2
https://www.sciencemag.org/news/2019/10/economics-nobel-honors-trio-taking-experimental-approach-fighting-poverty	2	—
https://pubmed.ncbi.nlm.nih.gov/36805380/	2	—
https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/	2
https://advances.sciencemag.org/content/5/10/eaaw7238	2

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