How can labs decrease bias through dividing duties?

The correct answer emphasizes the importance of limiting an analyst's knowledge to only the relevant information needed for their specific analysis. This practice helps mitigate bias in several ways. When analysts are exposed to all facts of a case, they may unintentionally let extraneous details or emotionally charged information influence their judgment. By focusing solely on pertinent data, analysts can base their conclusions on objective facts rather than becoming swayed by information that may not be directly related to their analysis.

This targeted approach also promotes impartiality, as it reduces the potential for preconceived notions or biases to affect the analyst's work. Additionally, by narrowing the scope of the information available, it encourages methods like double-blind analysis, where analysts are unaware of the identities of subjects or other case details, further preventing bias in their assessment.

In contrast, other options might introduce complexity or increased exposure to extraneous factors that could lead to bias, such as making analysts case managers or introducing new technology without proper safeguards against bias in data interpretation.