Atomic Habits' Hospital Cafeteria Study, Checked Against the Paper
James Clear cites a hospital cafeteria where soda fell 11.4% and water rose 25.8%. Here is what Thorndike's 2012 paper measured and what it leaves out.
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In Atomic Habits, James Clear uses a hospital cafeteria to argue that where things sit matters more than what people intend. On his site, in an excerpt he says comes from Chapter 6, he writes that “People often choose products not because of what they are, but because of where they are.” The story behind it: Dr. Anne Thorndike rearranged drinks at Massachusetts General Hospital, soda sales fell 11.4 percent, and bottled water sales rose 25.8 percent.
Those figures are real. The paper behind them is Thorndike, Sonnenberg, Riis, Barraclough and Levy, “A 2-Phase Labeling and Choice Architecture Intervention to Improve Healthy Food and Beverage Choices,” American Journal of Public Health, 2012. But the excerpt compresses it in ways that change the lesson.
What did the cafeteria study actually test?
Two things in sequence. For the first three months, every item was labeled red (unhealthy), yellow or green (healthy) on menu boards and shelves. Only in the next three months did the layout change: water and other green drinks moved to eye level, and baskets of bottled water appeared near food stations.
Clear writes that the soda drop came “over the next three months.” In the paper, the 11.4 percent is the further fall in red-labeled beverages during that second phase. By then, red beverages had already dropped 16.5 percent under labels alone. The 25.8 percent water increase is also from phase 2, and the only comparison was two other cafeterias, where water did not rise.
So the environment change did work, on top of an information change that had worked first. The excerpt credits placement alone.
What do the authors say about their own results?
They list limits in the discussion. One is that “there was no control cafeteria” for the intervention as a whole. Another is that they “could not assess longitudinal change for individuals over time,” and the study “does not examine individual-level data.” It was one site, not randomized, with sales counts as the outcome.
That matters for how you borrow the idea. A rise in water sales means the building’s total changed. It does not show that a given regular started a habit of drinking water.
What is missing when this is applied to a person?
A cafeteria shopper makes a fresh choice at a counter, surrounded by thousands of other shoppers, and the intervention only has to shift the average. A habit is one person repeating one action. Placement can make the action easier, but it does not supply a reason on the morning when you would rather not.
Wake-up routines show this clearly. You can put the alarm across the room, and a separate alarm clock is a sensible way to do that, yet nothing in the layout cares whether you return to bed. Reviews of nudge research also caution that many nudge effects shrink once publication bias is accounted for.
The cafeteria study supports a modest claim: when labels and placement both change, a crowd’s purchases shift in the healthier direction. For a habit that needs to survive a bad morning, the paper is silent.