Radio
Now Playing
Quickyla Radio โ€” Click to play
Open โ†’
3 min left
Back to News

How math can help you decide what to order for dinner

How math can help you decide what to order for dinner An experiment with 2,520 participants backs Richard Feynmanโ€™s answer to every dinerโ€™s dilemma: do I want to try something new? In a scene that could have easily featured in an episode of the US television sitcom The Big Bang

How math can help you decide what to order for dinner
Scientific American โ€” 7 June 2026
Text:
6 0 0

An experiment with 2,520 participants backs Richard Feynmanโ€™s answer to every dinerโ€™s dilemma: do I want to try something new?

In a scene that could have easily featured in an episode of the US television sitcom The Big Bang Theory , the late US physicist Richard Feynman once turned a visit to a Thai restaurant he often dined at into a mathematical riddle: how adventurous should we be in trying new dishes? Feynman promptly solved this on a sheet of paper.

Now, behavioural scientists have revisited Feynmanโ€™s solution โ€” some of which had been obscured by his inscrutable handwriting โ€” and found that his was indeed the optimal strategy.

Feynmanโ€™s dilemma is one that will be familiar to any restaurant-goer. Do we keep ordering the best dish weโ€™ve had so far, or do we explore the menu in the hope of finding something better? A study published in the Proceedings of the National Academy of Sciences on 1 June probes this question, and includes experimental findings that participants adopt meal-choosing strategies that closely approximate Feynmanโ€™s mathematical solution.

If you're enjoying this article, consider supporting our award-winning journalism by subscribing . By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today.

Behavioural scientist Shoham Choshen-Hillel at the Hebrew University of Jerusalem says that the authors wrote a โ€œsuper creative article.โ€ โ€œThe restaurant example stands in for decisions in many settings,โ€ she adds. Real-life examples include choosing a home to buy, deciding whom to partner up with and selecting a parking spot.

The story begins with a regular visit by Feynman , a Nobel prizewinning physicist at the California Institute of Technology in Pasadena, and his friend Ralph Leighton, to a Thai restaurant in nearby Glendale in the late 1970s. (Leighton helped Feynman to write his popular 1985 memoir Surely Youโ€™re Joking, Mr. Feynman! and was the son of the late physicist Robert Leighton, the co-author of the influential 1964 The Feynman Lectures on Physics, together with Feynman and Matthew Sands.) Leighton wondered whether he should order ginger chicken โ€” his favourite dish โ€” or explore the rest of the menu. Feynman began scribbling and promptly claimed he had found a mathematical solution: in his simplified model of the situation, he calculated a threshold โ€” a number of visits beyond which Leightonโ€™s rational decision would be to always settle on his favourite dish.

What Feynman had done was turn the restaurant dilemma into a question in decision theory โ€” a field at the intersection of economics and psychology that analyses strategies in one-person games. In particular, it was an original contribution to a larger family of problems in decision theory called stopping problems. These include real-life problems in which someone has to decide whether the possibility they have in front of them is good enough, or whether to keep searching.

Advertisement
React:
Sponsored

More to Read

'Astonishing': James Webb telescope spots the most chemicalโ€ฆ
๐Ÿ”ฌ Science
'Astonishing': James Webb telescope spots the most chemically primitive galaxy in the ancโ€ฆ
Live Science ยท 13 days ago
NASA Awards Contract for Johnson Space Center Infrastructure
๐Ÿ”ฌ Science
NASA Awards Contract for Johnson Space Center Infrastructure
NASA ยท 15 days ago
Bacteria uncover distinct strategy to import rare sugar polโ€ฆ
๐Ÿ”ฌ Science
Bacteria uncover distinct strategy to import rare sugar polymers, crystal structures show
Phys.org ยท 13 days ago
CBS News insiders worry how 60 Minutes will endure after fiโ€ฆ
๐Ÿ’ฐ Business
CBS News insiders worry how 60 Minutes will endure after firings: โ€˜What are they going toโ€ฆ
Guardian Business ยท 9 days ago
Sam Altman says OpenAI's top token spender uses 100 billionโ€ฆ
๐Ÿ“ˆ Markets & Finance
Sam Altman says OpenAI's top token spender uses 100 billion tokens a month โ€” and they're โ€ฆ
Business Insider Mkt ยท 10 days ago
Intel, AMD, Micron shares sink as Broadcom results spark seโ€ฆ
๐Ÿ“ˆ Markets & Finance
Intel, AMD, Micron shares sink as Broadcom results spark semiconductor sector sell-off
Yahoo Finance ยท 9 days ago
Full view