When investigators confront conflicting data, what is the recommended approach?

• A. When conflicting data arises, corroborate with multiple independent sources and prioritize triangulation.
• B. When data conflicts, always discard all contradictory data.
• C. Always rely on the first piece of data found.
• D. Ignore data quality and proceed with assumptions.

Answer: (A)

When investigators confront conflicting data, the best approach is to corroborate findings through multiple independent sources and use triangulation to determine what the data truly indicate. This means gathering evidence from different, unrelated sources—physical evidence, documentation, system logs, and witness statements—and comparing them to see where they converge. Triangulation increases confidence by showing that the same conclusion appears across diverse data streams, reducing the influence of a single faulty source or biased interpretation. If independent sources align, you have a stronger basis for the assessment; if they don’t, you know to question data quality, repeat measurements, or seek additional evidence to resolve the disagreement. Discarding contradictory data, relying on the first data found, or moving forward on assumptions without evaluating data quality all undermine the investigation by allowing errors or biases to guide conclusions.