How can we ensure that our data analysis methods maintain external consistency with real-world observations?

To ensure that our data analysis methods maintain external consistency with real-world observations, we must regularly validate our findings against real-world data and outcomes. This involves cross-referencing our analysis results with existing knowledge, conducting thorough testing, and seeking feedback from experts in the field. By consistently verifying our analysis against real-world observations, we can ensure the accuracy and reliability of our data analysis methods.