falsification

Falsification-Driven Biological Law Engine 2026 — Rejected 194 of 203 Candidates

Pressure-test research claims with falsifiable evidence plans, adversarial checks, frozen verifiers, and proof ledgers.

causal-falsify: A Python library with algorithms for falsifying the unconfoundedness assumption in a composite dataset from multiple sources.

Open-source adversarial verification Agent Skill for Claude Code, OpenAI Codex, and Cursor. Make AI coding agents prove bug fixes, CI, logs, and deployments.

Code to reproduce the experiments from the paper "Self-Compatibility: Evaluating Causal Discovery without Ground Truth"

Crimson OS — Reality-Guided Intelligence, not AGI: sovereign local OS on your NAS. Agent_Bridge markdown ledger, not RAM. GAS→LIQUID→CRYSTAL gate. Hausdorff F₂↪SO(3) cos θ=⅓. Geometric_Unity_Validation: JHTDB ablation, negative JSON shipped. Beta · Apache-2.0

A multi‑country synthetic identity generator that produces full, internally consistent life profiles (personal data, family, employment history, historical context, etc.) designed for OPSEC, security research, and testing scenarios, never for impersonation of real individuals or any unlawful use.

The Why! World Health Year 2025. Let’s join forces and realize that World War III is already ongoing and that the Lie is the main weapon. Let’s create processes and tools to fix this. Based on falsifiying to exclude non-truths rather than as Elon suggested to make a truth-telling tool (very difficult Mr Musk, you should know this....)

Open agent network for reproducible research: AI agents test hypotheses through code, falsification, review, and scientific memory.

Evidence-governed autonomous experimentation and falsification for computational science

An independent, power-aware falsification referee for quantitative finance claims. Multiple-testing-aware and self-calibrating; a referee for research, not a trading system.

A method for keeping AI-assisted research honest: pre-registration + an independent agent that recomputes every claim from raw data. Forged on markets — 16 certified dead hypotheses. Runnable demo included.

Finding Property Violations through Network Falsification: Challenges, Adaptations and Lessons Learned from OpenPilot

IX-MissionProof turns operational records into bounded, reviewable claims & prevents AI output from being mistaken for proof, approval, certification, or permission. It links evidence, decisions, authority, alerts, and lifecycle history under explicit human review.

Calibrated falsification harness for retrieval & ranking. Four-null gate (incl. gold-marginal-matched random, novel) + SHA-256/git-commit integrity lock. Catches predictors that look right but aren't.

Indus-script anchor application in the Zer0pa Gnosis Portfolio: clean-room search-without-decode runtime + Phase 4 conditional catalogue at k=70 + Phase 5 non-decipherment posture. No decipherment claimed. Useful now, improving continuously.

A falsification-first quant research project: a confirmed multi-asset TSMOM core, then four overlays (crash-defense, vol-breakout, seasonality, yield-curve regime) and a cross-sectional momentum (XSMOM) counterpart — all systematically tested and honestly rejected, each with a mechanism. Paired-bootstrap + BH-FDR throughout.

A research graph that remembers what didn't work. Markdown in git. Run it before the experiment, not after: it says what to work on, what has already died, and what the result must survive.

Public-safe falsifier lab for observer-aware AI research: synthetic demos, evidence gates, negative controls and witness logs.

Pre-registered falsification of the commodity carry premium (XS + TS) on 18 CME futures, 2010–2026 — design frozen before data; 0/2 arms promoted; four exchange-data identity traps documented along the way.