It is about understanding: • execution flow, • async behavior, • state timing, • edge cases, • and how real users interact with the system. Production systems fail in ways tutorials rarely show.

Bottom line: If your analysis requires capturing sharp gradients with high accuracy, choose after averaging. For smoother distributions or routine cases, before averaging works best. At 12Simulate, we ...