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Daniel Parris uses his data science skills to answer pop culture questions you’ve probably asked yourself.
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Episode Summary
Daniel Parris is creator of the Stat Significant newsletter, where each week he uses data analytics to answer pop culture questions. In this episode he talks about creating his newsletter, the tools he uses to compile data sets and write essays, and a behind the scenes look at how he created one of his most popular essays: ‘Why Do People Hate Nickelback So Much? A Statistical Analysis’.
Guest Bio
Daniel Parris is a California-based data scientist, journalist, and consultant who writes about the intersection of statistics and popular culture. He was one of DoorDash's first 150 employees and data science hires. Since leaving DoorDash, Daniel has been dedicating his time to strategy and analytics consulting, as well as data writing. His weekly newsletter Stat Significant has over 13,000 subscribers and features data-centric essays about movies, music, TV, and more. His work has been featured by The Financial Times, Semafor, 1440, and Morning Brew.
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