LearnPath Hub · Trust
Editorial Standards
Source selection
We prefer sources that are close to the underlying decision: official agency and institution pages for current rules, original research and systematic reviews for evidence questions, and issuer documentation for credential or software terms. A source should support the specific claim made; its reputation alone is not enough.
Claims and uncertainty
Articles should distinguish published evidence from examples, estimates, and editorial recommendations. They should state important boundaries such as jurisdiction, population, date, or course policy. We do not present AI output, search snippets, popularity, or manufacturer marketing as independent verification.
No invented experience
LearnPath Hub does not claim hands-on testing, ownership, interviews, surveys, or professional experience unless supporting documentation exists and the article clearly explains the method. Comparisons based on published information are described as source-based comparisons.
Commercial independence and disclosure
Advertising and potential affiliate relationships should not determine article conclusions. Active affiliate links must be disclosed. Sponsored material, if ever accepted, must be identified plainly and kept distinct from independent editorial guidance.
Corrections
Readers can report errors to [email protected]. Include the page, disputed statement, and a supporting source. We assess the evidence and may correct, clarify, or remove material; we do not promise a universal response or correction deadline.