Nutrition Data Gone Wild
This is a guest blog post by Carol Harvey, director of nutrition labeling at Palate Works.
Nutrition Facts labels look so official in that bold, uniform format. They must be correct… and are verified by FDA, right?
While FDA regulates nutrition labeling, they do not pre-approve nutrition panels, nor do they spend much time looking for inaccurate ones. With thousands of new products hitting the shelves every year, it would take a massively larger FDA budget. The result is something of a labeling Wild West in the food aisles and online.
Nutrition Facts data is generated one of two ways: database analysis of the recipe (with software), or chemical analysis of an actual sample of the food (in a laboratory). Both have limitations and are not immune to human error, but in the hands of the inexperienced (or deceitful), database analysis is much less reliable. It is also much cheaper than a lab (about 15% of the cost or less), so it tends to be the choice of restaurants and smaller food companies, many of whom do it themselves with no knowledge of labeling regulations, nutrition, or what correct data should look like.
There are many ways that database analysis can result in imprecise, inaccurate, or simply wrong nutrition data. Fortunately, some are obvious enough to spot without plunking down a small fortune for chemical analysis.
Here are six examples of common nutrition label errors: Read more…
Healthify your supermarket choices.



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