For example, if you have a real-time visualization based on upvotes and downvotes using K-means clustering to find similar sentiments, using principal component analysis to find the most divisive, but also the most unifying sentiments and so on, then without any exception for all the controversial matters, ranging from UberX in the so-called sharing or gig economy, or Airbnb, or really anything emerging, self-driving vehicles or anything like that, we always get a point where people find out via the visualization that most of them agree with most of their neighbors on most of the points.