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While random assignment is a powerful tool, it does not guarantee that all extraneous variables will be perfectly controlled. Due to chance, experimental groups may still end up differing on certain traits. However, this is rarely a major concern because random assignment is highly effective in large samples, inferential statistics account for this potential random error, and any resulting confounding variables are typically detected when the experiment is replicated.

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