PFRG Research Library
Pre-Failure Research Group examines structural failure across technology, governance, knowledge, and public systems. These projects are separate where they need to be, while sharing a common discipline: identify the failure condition before building the remedy.
The constitutional basis for federal taxing and spending, the verified 2026 budget and tax baseline, and how current tax law was actually passed.
Five common claims about fixing inflation and taxes together, tested against primary-source evidence — which hold up, and which don't.
A framework for presumptive public access to historical archives, with harm-based restriction and independent review.
A physical, air-gapped repository architecture for an ungated Universal Commons.
A replacement framework built around individual learning, community transmission, and a Universal Commons.
A privacy-preserving framework for verifying age eligibility online without identity disclosure or persistent tracking.
A risk-classification framework for AI systems and social platforms, including a legal exposure ledger and quantitative risk matrix.
Local-first QR scanning utilities for desktop and Android, designed so decoding stays on the device.
Rebuilding the Declaration of Independence's four claims on an auditable, harm-based foundation with a governance architecture built to enforce it.
A sanitized case study on housing preservation, resident accessibility, and a proposed nonprofit organizational response.
A sanitized case study evaluating grant and funding pathways for a small regenerative agricultural operation.
An open, freely usable protocol using willow, hemp, and fungal mycelium to remediate and rejuvenate contaminated soil.
A public-safe research framework for documenting observable solicitation mechanics without evaluating theology or profiling private individuals.
A reconstructed octopus communication research framework centered on observation, pattern analysis, controlled testing, and explicit evidence states.
A concise expert-facing brief describing the research question, proposed starting sequence, safeguards, and collaboration needs.
A note on provenance — the AI collaboration behind portions of PFRG's early research and development.
These projects do not all belong to OmniSniffer. PFRG applies pre-failure thinking across different domains, preserving the boundaries between independent systems while carrying forward recurring principles such as minimum necessary data, visible failure, distributed accountability, and resistance to capture.