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Episode 3: People Focused, Data Driven with Special Guest Luke Riley
This episode we chat about the methodology behind predicting voter behavior with special guest, Luke Riley who worked in Hillary Clinton’s Brooklyn data operation.
We start by exploring how campaigns and firms like Cambridge Analytica build a predictive mathematical model of the electorate using consumer data and polling.
Then we discuss how this process played out with the dynamics of the 2016 election. Can the best data in the world make up for an enthusiasm gap?
Finally we look forward to the future of campaign data and analytics. What were the lessons learned and where are we headed?
Remember to visit our website and support us through Patreon!
You can also follow us on Twitter and Facebook!
(Theme Music: "Night Owl" by Broke For Free from Free Music Archive, CC BY 3.0)
Special Guest: Luke Riley.
Support Subliminally Correct
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By Alex Dobranic & Taylor Sherman
4.9
2222 ratings
This episode we chat about the methodology behind predicting voter behavior with special guest, Luke Riley who worked in Hillary Clinton’s Brooklyn data operation.
We start by exploring how campaigns and firms like Cambridge Analytica build a predictive mathematical model of the electorate using consumer data and polling.
Then we discuss how this process played out with the dynamics of the 2016 election. Can the best data in the world make up for an enthusiasm gap?
Finally we look forward to the future of campaign data and analytics. What were the lessons learned and where are we headed?
Remember to visit our website and support us through Patreon!
You can also follow us on Twitter and Facebook!
(Theme Music: "Night Owl" by Broke For Free from Free Music Archive, CC BY 3.0)
Special Guest: Luke Riley.
Support Subliminally Correct