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

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

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....)

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

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.

Falsification Chain of Thought — post-hoc verification of AI judgments using falsificationism to counter sycophancy bias

Post-analysis and falsification layer for Ω-region behavior. No universal structural constant is declared.

Calibration and falsification toolkit for AI claims: null models, evidence grades, claim boundaries and observer-aware workflow examples.

Evidenced-negative taste object — failed the geometry-bearing fit gate (metric_fit 0.207 vs 0.6 threshold). The committed negative reference is preserved as the lab record. No positive taste codec is claimed.

MIT synthetic simulation sandbox for observable runs, falsifier examples and public-safe research boundary demos.

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

Perception receipts for AI video pipelines. Cross-writer bit-exact under default settings (SHA-256 stable across writers in any language). Zero runtime dependencies; pure stdlib core. ~1.1 KB per video; per-frame CRC32 + schema + versioning. Useful now, improving continuously.

Validation, falsification, artifact traceability, reproducibility, and result-regression layer for OMNIA structural measurement. Evidence, limits, and failures; not a truth oracle.

PressureX is an engineering evaluation package for a passive layered structural mitigation concept using shear-thickening fluid behavior to broaden impulsive loads and reduce peak transmitted response in high-vibration aerospace structures. Targets are design-intent until validated.

Falsification-first biological law discovery — rejects 194 of 203 candidate laws, including its own.

The Verifier Is All You Need: Six Architectural Interventions That Don't Matter and the Verification Boundary That Does

CPU-verified Runpod-ready in-silico physics pipeline for electrochemistry & fusion. 475/475 strict, 79.72% coverage, 6/6 proof anchors. H100 enterprise authority pending (180–500 H100-hrs).

CPU-verified in silico materials research control plane. Battery + thermoelectric pipeline staged for H100 GPU evidence campaign. Research infrastructure, not a discovery engine.

A research protocol for falsifiable multi-agent inquiry that prevents confirmation bias through role separation, sequence enforcement, and pre-committed falsification criteria (PACI).

A formal multi-agent LLM framework for decision-making, AI evaluation, and uncertainty analysis using structured divergence.