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The two types of errors are systematic errors and random errors. Systematic errors are consistent, repeatable errors that occur due to flaws in measurement instruments or methods, often leading to bias in results. Random errors, on the other hand, arise from unpredictable fluctuations in measurements, resulting in variations that can affect the precision but not the accuracy of the results. Both types of errors can impact the reliability of data and findings in research and experiments.

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