1. Scientific Progress 2. Trial and Error 3. Conjectures and falsification 4. The garden of forking paths 5. The Duhem-Quine thesis 6. The detection of patterns 7. The illusion of true feedback 8. False feedback bubbles 9. The tree of knowledge 10. The locality of knowledge 11. Machine learning and sample splits 12. Practical experience 13. Robustness checks 14. Replication
Andrin Spescha is a postdoctoral researcher at ETH Zurich, KOF Swiss Economic Institute, Zurich, Switzerland. He received his PhD from ETH Zurich (Dr. sc. ETH) in 2018. Prior to this, he completed a Bachelor of Arts in Political Sciences and Economics and a Master of Arts in Economics at the University of Zurich, Switzerland.
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