A boardwalk crowd model has variant A (current) and variant B (a candidate). Both see the same style of gate counts. Testers will need several runs and a statistical comparison. What approach decides which variant is better?

Variant A (current) and variant B (a candidate) see the same style of gate counts, and testers need several runs plus a statistical comparison. That is A/B testing. Back-to-back testing hunts disagreements as defects, a promotional-email scene is a copied syllabus extra, and a single-run eyeball is not a statistical call.