Evidence matters. So does accountability.
Public data can change, and an investigation can contain errors. Our goal is to ensure material findings are verifiable from their sources, and that factual errors raised with proper evidence are corrected appropriately.
This is a consumer-protection / educational service — not investment advice.
Our conclusions must be driven by the evidence.
Trust depends not only on what we find, but also on how we conduct the investigation.
Paid promotion for investigated projects or businesses must not influence investigation results. Any material conflicts of interest must be handled transparently.
Investigation results must not be influenced by commissions or incentives that encourage promotion of a particular project.
Our editorial principles are designed to ensure that financial interests in investigated projects do not influence published findings. Public statements must reflect our actual practices.
We take specific, evidence-backed correction requests seriously. Substantiated errors must be corrected through the appropriate process.
We do not equate suspicion with proven fraud. Our aim is to present relevant evidence, risk signals, and the limitations of our conclusions.
AI-assisted research. Human accountability.
Artificial intelligence can help organize information and speed up research. It does not replace reliable evidence or responsible editorial judgment.
No public report or video is released without human sign-off. Material claims are verified against their sources before release.
An AI-suggested claim is not evidence on its own. Important facts, names, dates, and data must be checked against original sources.
Our reports are AI-assisted, not AI-generated: key facts, names, dates, and source links are human-verified before release. Our video content uses a clearly disclosed AI presenter and synthetic voice.
Our goal is for AI to support research - not invent evidence or present unverified claims as facts.