ERROR: "A Bigger Sample Beats a Random Sample"
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The claim that a bigger sample beats a random sample is false: a biased sample stays biased at any size.
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In 1936 Literary Digest collected millions of responses and still called the presidential election wrong.
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Size shrinks the margin of error only after randomness has done its work.
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