What can we learn from data about what actually happened in the election?
Episode description
Approximately ten billion different narratives about what happened in the recent US presidential election have emerged since said election. But how many of these narratives can be substantiated by data? How can we tell?
Political scientist Seth Masket joins us to discuss how to make thoughtful inferences from this data, how and why to be skeptical of evidence-free opinions, and the importance (just like in the last episode!!) of being thoughtful about whether our narratives are based on data or we (or others who are trying to persuade us of something) are simply trying to pick data to support our narrative(s). Stick around until the end to hear how polls did and Seth's thoughts on why everything feels so politically bad these days.
Follow and read more by Seth:
- His substack: smotus.substack.com
- His podcast: powerflour.substack.com
- His personal website: sethmasket.com
Follow Andrea at jonesrooy.com and on Instagram at @jonesrooy.
Behind the Data is a podcast that uncovers the hidden stories within the data shaping our world. From political polls to global happiness trackers, we dive into the datasets that influence the decisions we make—while showing you why data isn’t just numbers, but a way to understand the world. Whether you're a data newbie or a seasoned pro, each episode makes complex data approachable, revealing surprising insights and the human side of every dataset. Come for the discoveries, stay for the stories.
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