Zachary Donnini(@ZacharyDonnini):One of the strongest predictors of candidate support was industry. Stevens excelled in blue-collar areas tied to manufacturing, transportation, and utilities, while El-Sayed dominated younger, highly educated areas centered on education, health care, arts, and food service.

Zachary Donnini

@ZacharyDonnini

Head of Data Science @VoteHub. Political data analysis, demographics, and US elections.

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Zachary Donnini@ZacharyDonnini

2026.08.07 21:41

One of the strongest predictors of candidate support was industry. Stevens excelled in blue-collar areas tied to manufacturing, transportation, and utilities, while El-Sayed dominated younger, highly educated areas centered on education, health care, arts, and food service.

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