Which type of data is most likely to be more subjective in nature?

The reasoning for selecting the type of data derived from one person's opinion as the most subjective is anchored in the nature of subjectivity itself. Subjective data reflects personal beliefs, interpretations, feelings, or perspectives that are unique to the individual providing the input. Unlike objective data, which is grounded in observable phenomena or verifiable facts, subjective data encompasses elements that can vary widely from person to person and are influenced by individual experiences and biases.

In this case, choosing data based on one person's opinion embodies the characteristics of subjectivity, as it represents a singular viewpoint that may not be representative or universally applicable. This can lead to variability in how information is interpreted and can introduce personal bias into analyses, especially when assessing factors such as risk.

On the other hand, data informed by facts or gathered from multiple interviews tends to be more objective, as it involves verifiable information or collective insights, which usually provide a broader perspective and minimize the influence of personal bias. Data that helps to estimate risk may also incorporate diverse elements, combining both subjective and objective insights; however, it is less likely to be completely subjective than data based solely on an individual's opinion.