General government spending as share of GDP, excluding transfers already captured under fiscal.transfer_expansion to avoid double-counting.
Rule of law as institutional substrate — contract enforcement, judicial independence, equal treatment before the law. Upstream of most other axes.
Independence of the judiciary from executive and legislative encroachment. Specifically captures court-packing, selective prosecution, judicial reshuffles.
Product-market regulation, entry barriers, licensing burdens, network-industry regulation, price controls.
Executive Order 14158 re-designating the US Digital Service as the US DOGE Service and establishing a White House DOGE office with an 18-month task-force sunset (to July 2026). Initially led by Elon Musk (special government employee until exit May 2025) with stated ambition to cut ~$2T in outlays; revised downward to the low hundreds of billions as the effort encountered statutory and judicial constraints on impoundment, RIFs, and agency reorganisations. DOGE initiatives included targeted probationary-employee terminations across agencies, USAID scope narrowing, GSA real-estate disposals, Schedule F re- expansion for policy-influencing positions, and rapid access-push into agency payment and personnel systems. Multiple federal-court injunctions in spring 2025 constrained several moves; subsequent congressional rescissions codified a subset.
Per invariant 3, reforms are scored by what they did on each channel-separated axis, not by the party that enacted them. This fingerprint is how the policy-match engine finds historical analogues.
Explicit links are curated by the author. Inferred links are hypotheses in the library that test the same axes this policy moved — the framework's answer to "what does the data say about a policy like this?".
Ranked by axis-fingerprint overlap with this policy. Direction match bolded — those are the closest historical analogues. Shape of the match is what drives policy-outcome comparison, not the country or party label.