Every campaign, by how it reached the agency: choose Individual Submission or Bulk Upload.
A campaign is an organised effort by a group to get people to weigh in on the rule. The group writes a letter or a petition, asks its supporters to add their names or their own words, and gets the result to the agency. However it arrives, it is one campaign. It can arrive in two ways, and each is counted its own way.
The count is of entries, not people. A posted comment carries no name, so a person who posted the letter and also signed the petition is two entries, and cannot be matched.
The campaigns whose supporters posted the letter themselves, largest first by how many times it was posted. Each counts as one unique comment, however many posted it. Where the group behind a campaign is known, it is named, with how we know; otherwise the campaign is named by how its letter opens.
Each campaign's organisation where known, its letter, how many submitted it, its position and ratings, and the topics it raises.
“I want to spend the rest of my life running trails in our beautiful country. The forest isnt for sale its for the people and animals within…”From the organisation's submission: FS-2025-0001-480496
Sierra Club also uploaded its campaign in files: 20,135 entries in 1 upload, (Bulk Upload).
Letter FS-2025-0001-316139 · 13 versions · 13 added their own words
“I might never get an opportunity to explore this land but I know I need to fight for any future generations that have this exploration…”From the organisation's submission: FS-2025-0001-480496
Sierra Club also uploaded its campaign in files: 20,135 entries in 1 upload, (Bulk Upload).
Letter FS-2025-0001-542687 · 12 versions · 13 added their own words
“The Forest Service should keep the Roadless Rule intact exactly as it is. Do not weaken or repeal this critical policy. National forests are…”From the organisation's submission: FS-2025-0001-480496
Sierra Club also uploaded its campaign in files: 20,135 entries in 1 upload, (Bulk Upload).
Letter FS-2025-0001-369527 · 11 versions · 12 added their own words
“Don't let greed win. Protecting our sacred land is more important than profits to logging, mining and other extractive industries. The…”From the organisation's submission: FS-2025-0001-480496
Sierra Club also uploaded its campaign in files: 20,135 entries in 1 upload, (Bulk Upload).
Letter FS-2025-0001-514500 · 12 versions · 12 added their own words
“Don't destroy our public lands and forests. Leave them for those who come after us to see how amazing they are. The Forest Service should…”From the organisation's submission: FS-2025-0001-480496
Sierra Club also uploaded its campaign in files: 20,135 entries in 1 upload, (Bulk Upload).
Letter FS-2025-0001-539256 · 11 versions · 12 added their own words
“Stop caving in to developers and other corporations putting profit over nature conservation. We didnt vote for the destruction of our public…”From the organisation's submission: FS-2025-0001-480496
Sierra Club also uploaded its campaign in files: 20,135 entries in 1 upload, (Bulk Upload).
Letter FS-2025-0001-278104 · 10 versions · 10 added their own words
“This is so important to me because I love hiking and camping. These forests are my life. I will be deeply saddened if this project takes…”From the organisation's submission: FS-2025-0001-480496
Sierra Club also uploaded its campaign in files: 20,135 entries in 1 upload, (Bulk Upload).
Letter FS-2025-0001-552283 · 10 versions · 10 added their own words
These results are meant to be shared.
How it works. Position and topic classification is performed by a large language model (the open-weight Qwen3.8 27B) that reads each comment and labels its position — supports, opposes, or neutral — and the topics it raises. Copies and campaigns are found by hashes of the text and the overlap of six-to-eight-word phrases, grouped into text families; every unique figure counts one family once. Sentence embeddings (Qwen3) find reworded templates, shown under Organized campaigns, and cross-check the families; lexical, syntactic and stylometric features (TF-IDF, spaCy) score each comment’s originality for review. Neither decides a copy count. The full method is on the Methodologies page of roadless.org.
The full method. Every step, why it is done that way, its known limits and a glossary: Methodologies →
The data. The full canonical dataset — every comment on Docket FS-2025-0001 — is available from Regulations.gov's bulk download, the canonical source: https://www.regulations.gov/bulkdownload. Download the CSV directly (Regulations.gov keeps this link working until October 18, 2026): https://bulk-downloads.regulations.gov/mv4-z8fw-q5jx.csv.
Roadless.org — analysis of the public comment docket.
Media inquiries welcome — nicholas@wanderingnature.com.
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