Validation does not check for which kind of errors?

Validation primarily focuses on ensuring that data adheres to predefined rules and standards, which includes checking for consistency, correctness, and formatting issues. Human errors, while potentially impactful, are often a result of the input process rather than something inherently checked by validation procedures.

Machine errors refer to inaccuracies generated by systems or software that can affect data processing. Coding errors are mistakes made in the coding of applications or scripts that could lead to incorrect data handling. Review errors occur during the analysis phase when data is interpreted or examined by individuals, which can also introduce inaccuracies.

Since validation primarily targets the adherence of data to standards rather than the human factor in data input, it does not specifically check for human errors. This distinction is why the option regarding human errors is the correct choice in this context.