The Mapping Theorem: Why Structural Accuracy, Not Speed or Data, Determines Predictive Power
Abstract
Proves that the accuracy of a predictive model depends on the structural distance between the model and reality, not on data volume or computational speed. A structurally wrong model with infinite data underperforms a structurally right model with minimal data. Provides the mathematical foundation for GCT's signal construction.
Fields of Study & Subjects
Consumer Market Behavior and Pricing
Innovation Diffusion and Forecasting
Complex Systems and Time Series Analysis
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 23 May 2026
- Document type
- Preprint