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Artwork for Regression to the Mean Girls
Severance
Law and Order
Romance Tropes
Kaplan-Meier Estimator
Speed Of Justice
Survival Analysis
Apple TV
Law & Order SVU

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!

PublishesWeeklyEpisodes4Founded23 days ago
Number of ListenersCategories
MathematicsScience

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Artwork for Regression to the Mean Girls

Latest Episodes

Hadley Wickham (Posit) joins ⁠⁠⁠⁠Sarah Lotspeich⁠⁠⁠⁠ and ⁠⁠⁠⁠Lucy D'Agostino McGowan⁠⁠⁠⁠⁠ with a data-driven side quest into building a web scraper to help acquire art.

Check out the full process here: ⁠⁠⁠⁠regressiontothemeangirls.com⁠⁠⁠⁠

Links to... more

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 a... more

⁠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: ⁠regressiont... more

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 t... more

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Recent Guests

Christine Zhang
New York Times reporter specializing in graphics and data journalism
The New York Times
Episode: The Comfort of Competence and the Speed of Justice, According to Law & Order, with Christine Zhang

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Regression to the Mean Girls launched 23 days ago and published 4 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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