How USFedPolicy works
Every document the Federal Register publishes is collected, read by an AI model, and placed on three scales. Each week gets a recap on the blog.
Where the documents come from
The Federal Register's public API lists each new rule, proposed rule, notice, and presidential document. When a document has no summary, the start of its text is taken from GovInfo, the Government Publishing Office's site. This site checks for new documents every hour.
How a document is scored
Each document is sent to Jev, a model from TypeSafe AI that returns structured answers with probabilities instead of writing text. Jev answers four questions about every document, in a single request.
Is it routine?
Is the action described in `document` routine or administrative, such as a meeting notice, an information collection renewal, a technical correction, an approval limited to one place or one company, an ordinary permit or grant, or a ceremonial observance?
If Jev judges a document at least 50% likely to be routine, it is not placed on the scales. Otherwise it gets a reading on each of the three scales below.
Democratic to Republican
Which U.S. political party's national platform is the action described in `document` more consistent with? Judge what the action does, not who issued it.
- 1 Strongly consistent with the Democratic Party platform and opposed by the Republican Party platform
- 2 Somewhat more consistent with the Democratic Party platform
- 3 Consistent with both party platforms, or consistent with neither
- 4 Somewhat more consistent with the Republican Party platform
- 5 Strongly consistent with the Republican Party platform and opposed by the Democratic Party platform
Economic left to right
Does the action described in `document` move U.S. economic policy toward the economic left or the economic right? Judge what the action does, not who issued it.
- 1 Strongly economic left: greatly expands government regulation of markets, taxes on business or wealth, public spending, public ownership, or worker protections
- 2 Somewhat economic left: modestly expands regulation of markets, taxation, public spending, or worker protections
- 3 Economically centrist or mixed: no clear change, or expands in some ways and reduces in others
- 4 Somewhat economic right: modestly deregulates markets, reduces taxes or public spending, privatizes, or reduces worker protections
- 5 Strongly economic right: greatly deregulates markets, cuts taxes or public spending, privatizes government functions, or removes worker protections
Libertarian to authoritarian
Does the action described in `document` increase government control over individuals, or increase individual freedom from government? Judge what the action does, not who issued it.
- 1 Strongly libertarian: greatly expands individual rights or freedoms, or greatly limits government power, surveillance, or enforcement over individuals
- 2 Somewhat libertarian: modestly expands individual rights or freedoms, or modestly limits government power over individuals
- 3 Neutral or mixed: no clear change in government control over individuals
- 4 Somewhat authoritarian: modestly increases government control, enforcement, surveillance, or restrictions over individuals
- 5 Strongly authoritarian: greatly increases government control, enforcement, surveillance, or restrictions over individuals
Jev returns a probability for each level, and the reading is the probability-weighted position between the levels, shown as a slider. Averages and counts on this site are calculated here, in code, not by Jev.
What the scores do and do not mean
- A reading describes what an action does, as read from its summary or opening text, not who issued it or why.
- Democratic and Republican refer to how well an action matches each party's national platform. They say nothing about whether an action is good or bad.
- Jev reports how confident it is in each reading. High confidence means the model is sure of its answer, not that the answer is correct.
- The model reads the summary, or at most the first 5,000 characters of the text, so a long document may be judged on its opening alone.
- Scores can be wrong. Use them to find documents worth reading, and read the source before drawing conclusions.
Weekly recaps
Every Monday the site publishes a recap of the previous Monday to Sunday week. Recaps are assembled from counts, averages, and rankings of the stored scores, so every sentence is a statement about the data. No text is generated by an AI model.
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