The R Project for Statistical Computing
(https://r-project.org) 📸 Data Snapshot: June 19, 2026Count trust words (review, testimonial, rating, verified) against real outbound proof links (Google, Trustpilot, Clutch, G2, Yelp). Lots of trust language with zero verification links is trust theatre. Unlinked logo galleries count against it.
Trust theatre is nearly non-existent, though a flag is triggered on the help page due to a mention of Stack Overflow question counts (150,000) without a direct live-linked verification in the metadata. The review_count of 2 in the metadata likely refers to external community platforms mentioned in the text. All ‘News’ items are temporally relevant, with release dates appearing within days of the current June 19, 2026 system date.
Proof density is absolute. Every claim about the software’s capabilities is backed by technical specifications or historical context, such as the implementation of C, C++, and Fortran code. The ‘Membership Fees & Donations’ page provides raw banking data as proof of organizational transparency, and the news section provides a verifiable timeline of release versions.
Trust & Proof is read by weighing trust language against real verification. Below is the page-by-page tally of review mentions and external proof links, then the schema markup that may (or may not) declare verifiable ratings and identity proof.
🛡️ Trust Signals — reviews, proof links, trust-theatre check
| Page | Reviews | Proof links |
|---|---|---|
| / (home) | 0 | 0 |
| /help.html | 2 | 0 |
| /foundation/donations.html | 0 | 0 |
| /about.html | 0 | 0 |
🔗 Identity & Technical Layer — schema JSON-LD: declared ratings, reviews & identity proof
This page presents a snapshot of public data from The R Project for Statistical Computing, captured on June 19, 2026, to show how machine logic reads Trust & Proof signals into an AI reputation evaluation.
Purpose: This data is presented under “Fair Use” for the purpose of independent signal analysis, allowing readers to see the raw signals behind the reputation score.
Notice to The R Project for Statistical Computing: This analysis is part of a non-adversarial audit conducted by 1 Euro SEO. The results are intended as professional feedback to help improve any website’s machine-readability and authority signals. The evaluation is free, and any company can request a fresh audit at any time.
Any company can use the insights for free and improve its voice. When a company has updated its content, it can always submit a new audit request, which will be reflected in a new current score.
To all users: You are encouraged to visit the live site at https://r-project.org to view the most current version of its content and see directly what this company is about and what it offers.