causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.
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Updated
Dec 8, 2025 - Python
causal-falsify: A Python library with algorithms for falsifying 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.
A controlled, falsifiable testbed for SQNT-inspired recursive law learning under measurement invariants.
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