5 sources of misleading statistics - Search
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    1. Cherry-picking data: Selecting specific data points that support a desired conclusion while disregarding contradictory data.
    2. Overgeneralization: Drawing conclusions from a sample that is too small or not representative of the whole group.
    3. Faulty causality: Incorrectly assuming that one event causes another.
    4. Biased sampling: Using a non-representative sample.
    5. Misleading graphs: Presenting data in a way that distorts the true picture.
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