The block plot is a graphical technique that pointedly focuses on whether or not the primary factor conclusions are in fact robustly general.
This question is fundamentally different from the generic multi-factor experiment question where the analyst asks, "What factors are important and what factors are not" (a screening problem)?
Global data analysis techniques, such as analysis of variance, can potentially be improved by local, focused data analysis techniques that take advantage of this difference.