Data triangulation is the practice of reviewing and validating findings by looking at multiple sources of data related to one topic or issue. In this episode, we talk about the sociological history of data triangulation as a process of combining data from different sources to understand a social phenomenon. We talk about other data sources to consider and guidance for comparing findings. What hypotheses does this data support or negate? Are there biases or limitations in the data we should acknowledge? What are other explanations? Does this lead to something we can take action on?