Our methodology

How we <span class="g">check.</span>

Here, without jargon, is how Vroooz goes from a line heard in a video to a verdict you can grasp in three seconds. We show you everything, because transparency is the heart of the project.

Last updated: 7 August 2026.

Our stance

We lay out the facts, we don't decide for you

Vroooz gathers public, sourced facts, then lays them out clearly. We don't tell you what to think: we give you what you need to form your own view. You're the one who decides.

Strict rule: we rate <strong>the claim</strong>, the message, never the named individuals. No ranking of people, no trial. A funding source is a fact we can cite; it isn't an accusation as long as we assert no cause-and-effect link.

We can be wrong, and science evolves. We'd rather say "we don't know yet" than rush to a call.

The reading grid

The 5 questions asked of every claim

Behind every check, we always answer the same questions. They're the ones you should really ask when facing a food claim.

1
Who says it?Does the person have real authority on this precise topic, is the source serious.
2
On what evidence?Which studies, what level of evidence, and does it really test what's being claimed.
3
Who funds it?Is there funding behind the study or the message, and does it point the same way as the conclusion.
4
What are they selling you?A product, a book, a supplement, a subscription, an ideology.
5
What interests lie behind?What economic or political interests does this message serve, knowingly or not.
The search

How we find the evidence

When you submit a claim, we search the public scientific literature live, mainly <strong>Europe PMC</strong> and <strong>PubMed</strong>, the two big databases of biomedical papers.

We don't search at random. We reason with an <strong>"exposure AND effect"</strong> logic: we cross the food or substance in question with the claimed health effect. For "coffee causes cancer", say, we look for studies about both (coffee) AND (cancer), not just one or the other. That way, we only bring back studies that really speak to the alleged link.

We also look at what the study compares. "Diet soda versus nothing" and "diet soda versus sugary soda" aren't the same questions, so they don't give the same answers. If the study we find doesn't compare the right thing, we flag it instead of pretending otherwise.

The validated benchmarks

We also rely on official guidelines

Some questions are already settled by public-health institutions. When a claim touches a validated benchmark, we rely on official guidelines, Belgium's Superior Health Council, the EU's EFSA and France's HAS, which have already synthesised meta-analyses. We then cite the source, why it exists, and which studies back it. And we always check it against the most recent studies.

And when no study tests a claim precisely but an established principle can answer it, we tell you and lean on it rather than dodging with an "it depends". For example, weight gain is multifactorial: it depends on your overall diet, physical activity, sleep, stress, genetics or medication, never on a single food or on calories alone.

We also apply the WHO's precautionary principle. When the International Agency for Research on Cancer (IARC) classifies a substance as carcinogenic, aspartame for instance, rated "possibly carcinogenic" (group 2B) in 2023, we flag it, distinguishing hazard from dose, even when an official acceptable daily intake exists and is debated.

The level of evidence

Not all studies are equal

A study on a single person doesn't carry the same weight as an analysis combining dozens of studies. So we grade the strength of the evidence on four levels, from strongest to most fragile.

High
Meta-analyses and systematic reviews

They combine several existing studies and rerun the numbers on the whole. Large pooled samples, a reliable overall trend.

Medium
Randomised controlled trials

A real intervention is tested, with participants split at random between groups. It's the best proof of a cause-and-effect link, but often on few people.

Low
Cohort and observational studies

Large populations are observed over time. It shows an association, a risk, never a cause and effect.

None
Isolated cases, expert opinion

A testimony, a case series, an editorial. Useful to open research leads, not to ground a recommendation.

<b>Important rule:</b> the level of evidence is capped by the weakest study we lean on to conclude. We can only show "High" if we hold at least one solid meta-analysis or several randomised trials pointing the same way. A single observational study never reaches "High".

The verdict

Five verdicts, and one rule of caution

At the end of the analysis, we sum it up with a clear verdict, designed to be read at a glance.

True Misleading Overstated It depends False

<b>The rule that matters most:</b> when there aren't enough serious studies, we never say "false". We say "we don't yet have enough studies to decide". Absence of proof isn't proof of the opposite, it's a cautious position, not a denial.

Likewise, when a claim rests only on observation (an association, not a cause and effect), we avoid blunt "true" or "false" verdicts and add nuance.

Translating the numbers

Relative risk versus absolute risk

It's the classic headline trap. "Eating this raises the risk by 30%" says nothing concrete on its own. 30% more compared to what, out of how many people.

So whenever we can, we translate it into <strong>"out of 100 people"</strong>, which everyone understands without any grasp of statistics.

Instead of

"Drinking one soda a day raises the risk of diabetes by 80%."

We say instead

"Out of 100 people who don't drink it, about 5 will develop diabetes. Out of 100 who drink one a day, it's closer to 9, that is 4 more people per 100."

And when the study doesn't give the starting point (which happens often), we say so plainly rather than leaving an impressive percentage on its own.

The context

The food matrix: the same nutrient, not the same effect

A sugar doesn't act the same whether it comes from a whole fruit or a juice. The whole food, the chewing, the fibre, the real dose, the speed of absorption: all of it changes the effect on your body.

An orange juice is the sugar of three or four oranges, without the fibre, downed in a few seconds. That isn't the same as biting into an orange. We surface this context nuance every time it matters.

Our sources

What we rely on

Europe PMC · PubMed

The big public databases of scientific papers. That's where we go for the evidence, live.

Registre de transparence de l'UE

To trace who funds what: lobbies, interest groups, official declarations.

Anses

The French health-safety agency, for official safety and public-health benchmarks.

mangerbouger.fr

The public-health guidelines of France's national nutrition and health programme, in plain language.

Conseil Supérieur de la Santé (Belgique)

Belgium's official dietary recommendations (2025), graded by level of evidence.

EFSA

The European food-safety authority: the EU's dietary reference values.

HAS

France's National Authority for Health, for validated public-health benchmarks (weight, physical activity).

OMS · CIRC (IARC)

The carcinogenic-agent classification of the WHO's International Agency for Research on Cancer, under the precautionary principle.

Our limits

What we don't hide

We're building an honest tool, not an oracle. We can be wrong, a study can slip past us, and today's science will sometimes be corrected tomorrow. That's normal.

That's why we're building a way to <strong>report an error</strong> and a <strong>right of reply</strong>, so it gets fixed fast when it's warranted. Vroooz improves with you.

Ready to check?

Tell us what you heard, at the table or on social media. We cross the science and the funding, and lay out the facts.

Open Vroooz