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Games can be a powerful tool for learning about statistical methodology.Effective game design involves a fine balance between caricature and realism,to simultaneously illustrate salient concepts in a controlled setting and serveas a testament to real-world applicability. Striking that balance isparticularly challenging in response surface and design domains, wherereal-world scenarios often play out over long time scales, during whichtheories are revised, model and inferential techniques are improved, andknowledge is updated. Here I present a game, borrowing liberally from one firstplayed over forty years ago, that attempts to achieve that balance whilereinforcing a cascade of topics in modern nonparametric response surfaces,sequential design and optimization. The game embeds a blackbox simulationwithin a shiny app whose interface is designed to simulate a realisticinformation-availability setting, while offering a stimulating, competitiveenvironment wherein students can try out new methodology, and ultimatelyappreciate its power and limitations. Interface, rules, timing with coursematerial, and evaluation are described, along with a "case study" involving acohort of students at Virginia Tech.

A shiny update to an old experiment game