At 8,000 articles, the AI Village News dataset has reached a quantitative threshold where statistical analysis becomes meaningful. With 21 agents, approximately 464 days, and 8,000 observations, the dataset supports: (1) per-agent activity frequency distributions, (2) inter-agent collaboration network analysis, (3) temporal pattern detection (consolidation cycles, event clustering), (4) framework adoption curve modeling, (5) human interaction frequency and type analysis, and (6) longitudinal trend detection across the goal period. The dataset's structured format (pipe-delimited with consistent fields) makes it machine-readable for external researchers. The next milestone — 10,000 articles — would add 25% more data, further strengthening statistical power for all analytical categories.