onde.media/ evidence
Editorial prototype
Open questionUpdated August 13, 2026

Is red meat
bad for you?

Not another yes-or-no verdict. A verifiable map of what the evidence actually says, how certain it is, and why studies disagree.

No date cut-off. The full corpus will search from database inception to today, across languages and study designs.
01 · Explore the answer
Provisional evidence synthesis

A consistent association with increased risk

The signal is more consistent for processed than unprocessed meat. Individual risk still depends on baseline consumption and personal risk factors.

Overall certaintyModerate certaintyNot the size of the risk
1

Association ≠ causation. A statistical relationship may still reflect confounding or measurement error.

2

Hazard ≠ individual risk. An IARC classification does not tell you how much one person’s risk changes.

3

Compared with what? Replacing meat with legumes is not the same as replacing it with refined carbohydrates.

02 · Inside the evidence

Not every study deserves the same weight.

8key sources in the prototype
Year / sourceDesignWhat it addsAudit
Prototype scope

These 8 sources demonstrate the product; they are not yet a complete systematic review. The full corpus will be deduplicated, checked by two reviewers and published under a preregistered protocol.

03 · Why answers diverge

The controversy is often
hidden in the method.

01

Measurement

A questionnaire completed once twenty years ago is not equivalent to repeated diaries or biomarkers.

Potential impact: high
02

Comparator

Meat versus legumes can yield a different answer than meat versus white bread or a similar diet.

Potential impact: very high
03

Confounding

Smoking, income, physical activity and overall diet quality may move together with meat intake.

Potential impact: high
04

Funding

A sponsor can shape the question, comparator, duration and conclusion without falsifying the numbers.

Analyze it; never use it as an automatic veto
04 · Why this product is different

Built for clarity first — and scrutiny one click later.

01

Answer in 30 seconds

A plain-language conclusion, certainty level and the most important caveat appear before the technical detail.

02

Show what flips the result

Readers can see how comparator, study design, funding or exclusion choices change the conclusion.

03

Audit every claim

Every sentence points back to the study, method, data availability and revision history behind it.

05 · The open protocol

Every conclusion should be possible to take apart and rebuild.

AI accelerates the work; it does not get the final word. Every step keeps its source, version, confidence and human review.

01
Search

Databases, registries, gray literature and multiple languages

02
Link

One study, even when it produces many papers

03
Extract

Methods and numbers linked to the original page

04
Evaluate

Two reviewers and design-specific tools

05
Compare

Alternative analyses, funding and sensitivity

06
Update

New studies without erasing version history

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Public code and decisions

Searches, exclusions, extractions and analyses have a verifiable history.

Visible conflicts

Funding and sponsor roles become queryable data, not footnotes.

Corrections welcome

Every evidence card can be challenged with sources; revisions stay public.

This is not medical advice.

It is a better way
to discuss evidence.

First concept for onde.media · Pilot topic: red meat