Richard Feynman, the Nobel Prize-winning physicist, tackled a common dining dilemma in the 1970s: whether to stick with a favorite restaurant or try something new. This inquiry led him to develop a mathematical solution, which remained obscure until a team of researchers deciphered his notes. They identified his approach as a solution to a class of problems known as stopping problems. Feynman framed his problem around dining at a single restaurant, while the researchers expanded it to multiple dining options, assigning scores to each restaurant based on quality. Feynman's method involved establishing a threshold score to compare against the best restaurant experienced so far. If a favorite dish scored above this threshold, diners should return to it; otherwise, they should explore new options. The threshold is dynamic, starting high and decreasing as the number of dining nights reduces. The researchers also conducted a survey of over 2,500 participants, discovering that while people did not always follow Feynman's optimal strategy, they employed simpler heuristics that yielded similar results. This suggests that while humans may not always act optimally, their decision-making strategies are surprisingly effective.