mc-stan.org

Key factors

• + Academic/scientific software tool — Stan is a respected open-source statistical computing platform rooted in academic research.
• + Strong scholarly backing — Developed by accomplished statisticians (including Andrew Gelman) and supported by a peer-reviewed body of literature.
• • Not a news/journalism outlet — This is a technical documentation and software project site, so traditional journalism criteria apply differently.
• + Transparency and openness — Open-source codebase, public governance via NumFOCUS, and openly documented methods.

Editorial standards

Content is curated by the Stan Development Team, comprising professional statisticians and computer scientists. The project operates under open-source governance with public version control, community review processes, and NumFOCUS sponsorship. Documentation is maintained alongside the software with versioning and contributor accountability. While it lacks a conventional newsroom editorial structure, its standards for technical and scientific accuracy are rigorous and transparent.

Fact-checking

As a technical/academic software documentation site, mc-stan.org is not subject to traditional fact-checking. Its content reflects peer-reviewed statistical methods and computational algorithms. The accuracy of its documentation and methodology is validated through academic publication, code review, reproducibility, and a large user/developer community. No history of misinformation; the platform is held to high standards of mathematical correctness.