This atlas is a static map of cuts, not a lab certificate for every pack in your fridge. Numbers that look precise still rest on editorial synthesis of butchery practice, published food-composition data and safety guidance.
We separate three layers: geometry (shared across languages), measured or tabulated figures (nutrition, doneness temperatures), and judgment scores (cook matches, profile meters). Knowing which layer you are reading is the point of this page.
Geometry and cut identity
Animal silhouettes and primal blocks live in language-neutral code. A cut id such as beef/rib is the same muscle family in every language; only the name, alias and prose change.
We never publish English body text under a localized URL. If a translation is incomplete, that language simply omits the page.
Profile meters
Tenderness, fat, flavour intensity and price-signal meters are editorial indexes on a 0–100 scale. They compare cuts inside this atlas — not a national grading stamp and not a promise about the pack you buy today.
Use them to navigate: fattiest versus leanest, grill-friendly versus braise-friendly. Confirm with your eyes, nose and butcher.
Cook-match scores
Each cut lists cooking methods with suitability percentages. Those scores encode collagen, fat and typical thickness — the same physics behind our decide and cook hubs.
A high score means the method usually rewards the cut’s architecture. Technique still decides the plate; scores assume competent heat.
Nutrition and doneness
Nutrition cells are approximate per 100 g edible portion from public food-composition style figures, rounded for comparison. Brands, trim and cook loss move the real number.
Doneness temperatures for whole-muscle beef and lamb are culinary targets; ground meat and poultry follow higher safety endpoints. Our safety hub states the distinction plainly.
What we do not claim
We do not certify farms, welfare systems or the microbiological status of a specific package. Grades explained here describe market languages, not a purchase guarantee.
When evidence is thin, we say so. Deep reads carry a local lens because markets disagree — and disagreement is data, not noise.
Updated as the atlas expands. Prefer the storage, safety and grading hubs for operational detail.