Yeah, it makes the bold generic claim to answer "why [all] rating systems don't work", makes the bizarre claim that histograms that show the distribution are "worse" than a scalar mean, and then presents as a solution "We've solved the generic problem by doing two things: adding a 'rewatchable' rating, and plotted it against general quality rating as a scatter plot." Rewatchable is irrelevant to things that aren't movies. The scatter plot is only relevant if the correlation between the two is important, but the given graphs don't support that the correlation has meaningful information beyond that people who like a movie are more likely to want to rewatch it, which is a correlation that is likely consistent across all movies in their dataset and conveys little information about any particular movie.