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Honey Labelling: Claims, Allergens and Nutrition Facts (2D)

2D honey jar label lab: pick a marketing claim, toggle allergen advisories and nutrition basis, and watch a live compliance gauge and substantiation-vs-risk bar chart respond.

Economics & Social Systems2DEasy60 FPS📱 Mobile-adapted⇄ 3D version

This 2D companion carries over the exact claim data from the 3D lab — a substantiation score and a regulatory-risk score per marketing claim, based on how food-labelling authorities treat that kind of claim — and draws it onto a plain canvas view instead of a rotating jar: the printed label regenerates as you change the claim, allergen toggle, nutrition basis and net weight, a needle gauge shows the effective compliance risk, and a bar chart puts substantiation and risk side by side so the trade-off between a bolder claim and its evidence burden is visible at a glance.

⚙ Under the hood

2D honey jar label lab with the same claim-based substantiation/risk model as the 3D version, a live compliance gauge and a substantiation-vs-risk bar chart.

honey labellingfood regulationallergensnutrition factscompliance

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

FAQ

Why does "Cures Allergies" score such high risk?

Unauthorised medicinal or health claims printed on a food label are among the most heavily enforced violations under UK/EU and US food law, so the model gives that claim a very low substantiation score and a very high risk score.

Why does turning off the allergen advisory raise the risk?

Omitting a pollen/propolis advisory removes a defensive disclosure a labeller could otherwise point to, so the simulation adds a risk penalty when the toggle is off, matching the note on the 3D original.

Is this legal advice?

No — it's an educational model illustrating how claim strength and evidence trade off against enforcement risk, not a substitute for regulatory guidance.