What makes template content in the Web so special that we need to remove it? In this paper I present a large-scale aggregate analysis of textual Web content, corroborating statistical laws from the field of Quantitative Linguistics. I analyze the idiosyncrasy of template content compared to regular "full text" content and derive a simple yet suitable quantitative model. Categories and Subject Descriptors H.3.3 [Information Systems]: Information Search and Retrieval; G.3 [Probability and Statistics]: Distribution Functions General Terms Theory, Experimentation, Measurement Keywords Content Analysis, Template Detection, Template Removal, Web Page Segmentation, Noise Removal