| Let me show you how I know. Not with my opinion, but with the study. |
| Researchers at University Hospital Zurich took twenty women living with obesity and ran them through one ordinary week. Every meal went into SNAQ, an app built on the same idea as the ones on your phone: point the camera at the plate, let the software name the food and estimate the portion. |
| At the start of that week each woman drank doubly labeled water, the tracer method nutrition science uses as its reference standard. It reports how much energy a body spent across seven days, measured rather than remembered. Then the two sets of numbers were laid side by side. |
| What they found |
| Validation study, 2026. Serra et al., npj Digital Medicine. |
| The app’s total (817 short a day) |
| Against the measured figure, the app ran about 25 percent low, an average gap of 817 calories a day. The older method, asking a woman to recall yesterday’s food, ran about 50 percent low. |
| The tracer (measured, not recalled) |
| Measured energy showed no significant relationship with what either method reported, and the app’s day to day stability across the week came out at 0.00, where 1.00 would be a perfect match. |
| A group average may be off by hundreds. One woman’s daily number, on this evidence, may carry almost nothing. |
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| In other words, the app was not simply low for everyone by the same amount. For one woman on one day it could fall short by thousands, for another it could run over, and nothing in the number told you which had happened. |
| Her honesty had nothing to do with that gap. Neither does yours. |
| So why would a camera and a database struggle this much with a plate of food? |
| A photograph carries no weight and no density. The software has to name the food, guess the volume, then look the numbers up, and all three steps can go wide: the oil the pan soaked up, the food sitting behind other food, the drink in the cup. In July the NIH ran a harder version of this test, photographing 102 meals cooked in a research kitchen where ingredients are weighed to a tenth of a gram, and four popular apps came back about a third low, with most of the miss sitting in fat. That one was presented at a conference and has not cleared peer review, so hold it loosely. Both sets of results point the same way, and the Zurich team wrote plainly that the answer cannot be to hand the error back to the women using the app. |
| She never stood a chance of making that number honest. Neither did you, I’d bet. |
| That’s the part no one says out loud… the software was allowed to be wrong by hundreds, and you were the one asked to explain the gap. |
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