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* **Bias and Patterns:** Some PRNGs can introduce bias or patterns into the generated numbers, particularly over long sequences. This can be problematic in applications where a perfectly uniform distribution of random numbers is required. Careful testing and analysis of the PRNG's output are essential to identify and mitigate any bias or patterns. Developers should choose PRNGs that are known to pass a variety of statistical tests for randomness and are suited to the specific needs of the application.
