Useful numbers still have boundaries

The score only knows the record it receives

A product score can make a label easier to compare, but it is not a complete description of a product or a person. Blurrix calculates from the information available in a product record. That can include ingredients, nutrients, processing signals, category information, and other domain-specific fields. If a source omits an ingredient list, uses an old image, lacks nutrition values, or identifies the wrong variant, the analysis has less to work with. The app can apply guardrails and surface data limitations, but no scoring rule can turn missing product information into a confirmed fact.

The current package remains important. Manufacturers can change a recipe while retaining the same barcode, alter a serving size, update a claim, or distribute slightly different versions in different markets. Blurrix may detect some changes when new record data is processed, yet it cannot promise that every shelf has already been revisited. If the package conflicts with the page, use the package as the source for the purchase in front of you. A rescan can help update the path, but it is still sensible to read the label yourself.

A total also compresses trade-offs. FoodScore uses several weighted dimensions, which means two products can reach a similar total for different reasons. One may have a stronger nutrition dimension and a weaker processing dimension; another may have a different balance. The number is a starting point for inspection, not an instruction to ignore the details. Read the dimensions, warnings, ingredients, and nutrition table when the choice matters. For cosmetics and supplements, use the domain-specific cards rather than assuming a food-score interpretation applies.

Scores do not determine suitability for an individual. Blurrix does not identify, treat, or predict outcomes. It does not know your full diet, preferences, budget, culture, allergies unless you have deliberately entered relevant preferences, or the role of a product in a recipe. A lower-scoring ingredient can belong in a meal you choose to make. A higher-scoring product can still be unsuitable for your intended use, unavailable, or outside your budget. The app can reveal recorded properties; the decision remains yours.

Precision has limits too. Nutrient values, serving sizes, and categorization are practical representations, not laboratory measurements of the item in your kitchen. Product images can be unreadable, product records can be duplicated, and catalogue data can lag. Where the application cannot support a confident packaging analysis, it uses an explicit status instead of manufacturing a result. Treat an unavailable analysis as unavailable, not as a quiet positive or negative signal.

Use the score proportionately. It is valuable for narrowing a shelf, finding a difference worth reading, and noticing when a familiar product has changed. It is less useful when it becomes a substitute for the label or a rule that must be obeyed. Keep the purpose modest: compare product information, ask better questions, and make a choice that fits the moment. That is a stronger use of a score than asking it to settle questions it was never designed to answer.

The same limit applies to comparisons. A highest comparable score reports an ordering among the records selected for that request; it does not supply missing label fields or make different formats interchangeable. A score cannot price a product, confirm stock, verify a regional formula, or tell you how an item will work in a particular recipe. The detail view and current package contain the context a total necessarily compresses.

Blurrix also does not turn product data into a statement about your body or future outcomes. It describes recorded product attributes and calculation results. Use the page to inspect ingredients, nutrients, score dimensions, and stated limitations. Where the data is thin, the honest reading is thin too.