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Published by Sarah Lotspeich and Lucy D'Agostino McGowan
This is Regression to the Mean Girls where we chat with brilliant data people about their silliest side quests. We’re mean, as in average, but actually very nice! Come sit with us!
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Christine Zhang ( New York Times ) joins Sarah Lotspeich and Lucy D'Agostino McGowan with a data-driven side quest into the TV show Law and Order . Check out the full analysis here: regressiontothemeangirls.com Links to content we chat about on the episode: Wrong Number newsletter The Speed of Justice, According to Law & Order Follow along on instagram: @regressiontothemeangirls
Lucy D'Agostino McGowan and Sarah Lotspeich return with a data-driven side quest into the TV show Severance . Lucy analyzes whether Milchick really uses more complicated language than his colleagues. Check out the full analysis here: regressiontothemeangirls.com Links to content we chat about on the episode: Lucy's Severance data R package [mdr] Lucy's other Severance analyses Dunnet Radial plot of who is speaking in Severance Follow along on instagram: @regressiontothemeangirls
Sarah Lotspeich and Lucy D'Agostino McGowan introduce Regression to the Mean Girls , a podcast about data-driven side quests in pop culture. In this episode, Sarah analyzes 45 recent romance novels to find out how different romance tropes affect the timing of the couple’s first kiss. Check out the full analysis here: https://regressiontothemeangirls.com/ Links to content we chat about on the episode: Edward L. Kaplan and the Kaplan-Meier Survival Curve Nonparametric Estimation from Incomplete Observations Not just love, actually: why romance fiction is booming What is the lipstick index? Follow along on instagram: @regressiontothemeansgirls
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Observed September 20, 2026.
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