Die Küchenschlacht Analysis
Analyzing gender patterns in German cooking show using automated NLP pipeline
Automated data extraction pipeline analyzing gender patterns in 200+ episodes of the German cooking show “Die Küchenschlacht” (The Kitchen Battle).
Summary
- Goal: Test whether juror/candidate gender affects competition outcomes
- Method: MLX Whisper transcription → GPT-4 extraction → Statistical analysis
- Sample: 200+ episodes, 1000+ candidates (2023-2025)
Key Findings
- No evidence of gender bias (female jurors don’t favor female candidates)
- Tasting order matters: Earlier positions have advantage
- Effect weaker for female jurors
Tech Stack
Python • MLX Whisper • OpenAI GPT-4 • Pandas • Statsmodels