In this paper I show a variety of ways to represent and think about statistical aspects of CHI and its sister conferences. In particular, I look at author counts, gender analysis, and representations of repeat authors. I use these visualizations to motivate questions about what the preferred state of CHI should be. For example, should we strive for gender equality at CHI, and if so, why, and if not, why not? Should we encourage the current trend of increasing number of authors per paper, or might we be losing something in that process? I do not hope to answer these questions, but rather to encourage their discussion. Keywords Visualizations, statistical analysis, bibliometric analysis, gender, authorship. ACM Classification Keywords H5.m. Information interfaces and presentation (e.g., HCI): Miscellaneous.