A nutrient value in a food database should not automatically be described as the exact content of every item bearing that food name. Foundation Foods makes sample context part of the research opportunity. Ask which material was analysed and what variation the underlying records show.
USDA describes individual data points behind mean values, with metadata including sample count, collection locations and dates, and analytical methods. Its documentation says newer profiles focus on independent-sample variability rather than market-share weighting. Read that context before turning a mean into a universal product claim.
Build a sample-context card
Record the exact food description and nutrient of interest. Preserve the number of samples, acquisition context and method information actually supplied for that record. Mark unavailable fields. Distinguish a fact read from the database from an editor’s guess about why two values differ.
Compare descriptions first
Raw and cooked material, different cultivars or different preparation descriptions can answer different questions. Do not average them simply to make a larger-looking dataset. First decide whether the intended comparison concerns the same kind of food and quantity basis.
If records differ, write down possible explanatory fields to investigate: sample acquisition, preparation and analytical approach. Those are research leads, not established causes. The records must support any eventual explanation.
Describe the mean precisely
A report can identify a mean as a value from a specified dataset and source context. Avoid attaching more certainty than the record supports. Additional displayed decimals do not prove that a particular meal or retail item has been measured that precisely.
Preserve individual values and the summary separately where available. A chart showing only a summary number can conceal the variation a reader wants to examine.
Keep the next step identifiable
No samples were downloaded or analysed for this guide. It supplies a reading worksheet for a later record-level comparison, not a finding about a food’s health effects. A second editor should be able to identify the food, samples and summary basis before considering an interpretation.
Official documentation read 21 October 2026. Workflow suggestions and labelled arithmetic examples are editorial. No clinical finding or individual dietary advice is provided.
Primary documentation: USDA Foundation Foods sample metadata. Related discussion: health information source quality.
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