The quality of a statistical conclusion is capped by how the data was collected. If the sample is not representative — through selection bias, survivorship bias, or self-selection — then more data just makes you more confident in a wrong answer. Getting the sampling right matters more than the sophistication of the analysis applied afterward.
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