Are Data Centers The ‘Sleeper Issue’ Of 2026?
Summary
Host Galen Drew and guests Mary Radcliffe and Nathaniel Richik analyze whether recent primary data in Alaska, Texas, and Georgia reliably predicts midterm outcomes, concluding that limited track records and high Democratic turnout make these indicators less dependable than special elections. The discussion shifts to the "polling chaos" in American politics, examining how fake pollsters and unreliable startup surveys are creating financial incentives and public perception issues. The episode also addresses the immediate political disruption caused by AI data centers, noting that 70% of voter…
Topics discussed
Announcement of new 'Still Counting' podcast
Clarifying GD Politics schedule and new segments
Introduction to data centers and AI in politics
Polling data on voter opposition to data centers
Guest introductions: Mary Radcliffe and Nathaniel Reykich
Listener question on primary turnout and Alaska results
Analysis of Alaska primary predictiveness
Comparing Alaska primary to general election outcomes
Evaluating Democratic turnout in Texas and Georgia primaries
Historical trends in primary turnout by party
Washington state primary data as a national indicator
Using special elections to gauge the national environment
Debate on the reliability of special election data
Discussion on polling chaos and fake pollsters
Promotion of GD Politics paid subscription
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