3% of questions are unlikely to have an answer anywhere (e.g., 'what guides Santa home after he has delivered presents?').
this makes privacy a well-motivated application domain for NLP researchers, where advances in enabling users to quickly identify the privacy issues most salient to them can potentially have large real-world impact.