Occam's Razor Has Stopped Cutting: How anEpistemological Shield Protects Our CosmicImmaturity

The ThibScore Framework is a revolutionary mathematical analysis system designed to quantify and analyze interstellar objects through standardized metrics. This repository contains: • Comprehensive research papers in French and English on the Occam's Razor methodology applied to extraterrestrial intelligence analysis • The ThibScore calculation framework and implementation scripts • Visual assets and documentation for scientific communication • Python utilities for automated upload and data management The Global Anomaly Score formula transforms qualitative observations of celestial objects into quantifiable metrics, enabling comparative analysis and scientific investigation prioritization. This framework applies mathematical rigor to astrophysical anomaly detection, providing researchers with a standardized methodology for evaluating interstellar object characteristics. Key Features: - Quantitative anomaly scoring system based on multi-dimensional analysis - Mathematical framework for comparing celestial objects - Open-source Python implementation for reproducibility - Bilingual documentation (French/English) - Standardized methodology for scientific investigation prioritization Applications: Astrophysics research, anomaly detection, interstellar object classification, UAP/UFO analysis, and extraterrestrial intelligence investigation. Repository Contents: 1. Research papers (French and English versions): Le_Rasoir_Occam_Intelligence_Extraterrestre_Thibodeau_2025.pdf and Occam_Razor_ThibScore_Thibodeau_2025.pdf 2. Implementation documentation: README.md and UPLOAD_INSTRUCTIONS.md 3. Python automation script: upload_to_zenodo.py 4. Metadata configuration: zenodo_metadata.json 5. Visual assets: ThibScore_Header_Medium.png and ThibScore_Social_Media.png Citation: If you use this framework in your research, please cite this Zenodo deposit and reference the ThibScore methodology in your publications. Author: Thibodeau, Thib Year: 2025 License: CC BY 4.0