Key Takeaways
- The UPF concept remains vague and difficult to turn into a final definition.
- Classifications can help research and monitoring, but they do not guide daily choices.
- Once a category enters policy, it can quickly become a label, a warning, a tax, or an imposed reformulation.
- Processing is a tool. The real question is what outcome it produces.
- Citizens need decision support, food literacy, and personalised guidance.
- The future of prevention is not one-size-fits-all classification, but empowered choice.
They want a clearer category. A more precise list. A better classification. But this may be the wrong race.
- The problem is not only that the concept of ultra-processed foods is vague.
- The problem is that food is not a static object. It is part of a context: quantity, frequency, lifestyle, movement, culture, personal needs, metabolic conditions, age, goals, and habits.
No definition can capture all this.
ARE YOU IN A SIMULATION? READ PAGANINI NON RIPETE 314
Science advances by testing hypotheses, measuring outcomes, correcting errors, and improving tools.
A definition may help research. It may help with monitoring. It may help compare countries, products, or trends.
- But a definition is not enough to guide people’s daily choices.
A classification tells us where to put a product. It does not tell a citizen what to eat, how much, how often, in which context, or in relation to what personal need.
THE RISK OF THE CLASSIFICATION MACHINE Once a category enters the policy machine, it rarely remains neutral.
- A classification becomes a label.
- A label becomes a warning.
- A warning becomes a tax.
- A tax becomes reformulation pressure.
- Reformulation becomes compliance.
Compliance becomes the new definition of “healthy”. This is the danger. We start with a scientific uncertainty and end with a political shortcut.
PROCESSING IS A TOOL Processing is not the enemy. Processing has always been part of human food culture: preservation, safety, accessibility, convenience, innovation, and pleasure.
- The real question is not whether a food is processed.
- The real question is: processed for what outcome?
- Does it help nutrition, safety, access, portion control, and affordability?
- Or does it encourage excess, poor dietary patterns, and passive consumption?
Safety is not the same as healthfulness. And healthfulness cannot be reduced to one category.
FROM STATIC CATEGORIES TO DYNAMIC GUIDANCE Citizens do not need more fear-based classifications. They need better decision support.
- They need tools that help them understand what they need, when they need it, how much they need, and how food fits into their real life.
This is where the debate should move: from classification to algorithm.
- Not an algorithm that controls people. An algorithm that empowers them.
A useful AI agent could help citizens connect food with movement, sleep, stress, lifestyle, goals, and personal conditions. It could suggest portion, frequency, combination, alternatives, and balance.
- It would not exclude foods.
- It would contextualise them.
DO NOT MISS PNR311: BACK TO STOCKPILING
THE FUTURE OF PREVENTION IS PERSONAL The future of prevention should not be built on taxes, warnings, and imposed reformulation. It should be built on capability.
Citizens should be able to use the algorithm, not suffer it.
Public policy should create the conditions: access to reliable information, AI tools, wearable devices, digital food data, food literacy, physical activity, and healthier environments.
- Then citizens can make better choices.
- And better choices generate better demand.
- And better demand pushes the industry to innovate.
This is the real paradigm shift.
From static categories to dynamic guidance.
From passive consumers to empowered citizens.
From imposed reformulation to informed demand.
From one-size-fits-all prevention to personalised prevention.
The future is not a perfect definition.
The future is a useful algorithm.
