Sampling is the backbone of polling, determining how well a subset of people (the sample) can represent the larger population’s views. In this article, we’ll explore how different sampling techniques influence polling accuracy, the challenges inherent in creating representative samples, and the weighting methods used to correct imbalances.
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By NICK REISMAN, JEFF COLTIN and EMILY NGO Two of Gov. Kathy Hochul’s potential 2026 challengers are yet to turn 40 — but their success in New York politics could be decided by older voters. People under age 50 are trending away from registering in either party, said Stephen Graves, president of Gotham Polling and Analytics. As […]
Sampling is the backbone of polling, determining how well a subset of people (the sample) can represent the larger population’s views. In this article, we’ll explore how different sampling techniques influence polling accuracy, the challenges inherent in creating representative samples, and the weighting methods used to correct imbalances.
Sampling is the backbone of polling, determining how well a subset of people (the sample) can represent the larger population’s views. In this article, we’ll explore how different sampling techniques influence polling accuracy, the challenges inherent in creating representative samples, and the weighting methods used to correct imbalances.