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

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.

Push-T VW2-DirectAct falsification code and artifacts, including subgoal-distillation hard-stop results.

AI-powered investment hypothesis tracking system for Claude Code

A truth filter for AI output. An experiment: I pointed property-based testing (Hegel / Hypothesis lineage) at a specification instead of code. Ran an AI-generated 36 KB research synthesis through the harness — 27 of 28 claims held, 1 was falsified and re-encoded to pass, 6 small structural ingredients surfaced. One case write-up.

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.

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

The Monostring Hypothesis: Seven Computational Experiments That Killed One Path to Emergent Spacetime — and Opened Three Others