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How Polls Actually Make Samples "Representative
When a poll says "margin of error ±3%," that number only captures sampling error — not the real-world mess of non-response bias, weighting assumptions, and demographic guesswork. In this episode, we break down how modern polling actually constructs representative samples: from random-digit dialing's collapse to address-based sampling, from demographic weighting to the "assumption of ignorability" that makes or breaks a survey. Along the way, we explore what 2016's polling miss taught us about weighting by the wrong variables, why opt-in panels like YouGov are still controversial, and why…
The skinny
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