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+# Rating ★★★★☆ & Ranking 🥉🥇🥈
+
+**Ratings are a categorization of works into groups of equal merit/worth.**\
+The categories can be a binary _good_/_bad_, the classic x-out-of-5 stars, or up to a 0-to-100 rating.
+
+**Ranking is an ordering of works based on their merit/worth.**\
+A ranking is like a rating with each work being its own category and the value intervals between the categories don't have to be uniform.
+
+## What's the point?
+
+### Organizing the Library
+
+- search filters
+- automatic lists
+
+### Make Public
+
+- [p2p](./p2p-sharing.md) needs to be implemented
+- recommendations based on other users' stuff
+
+## Problem: The granularity is too low
+
+For any granularity lower than the number of works to be rated there is a chance of conflict: "I think this one is better than the other, but not as good as to give it the next grade."
+
+### Solutions
+
+**Use unrestricted granularity (64-bit)**\
+This also allows the user to defined an arbitrary amount of rating categories.
+
+## Problem: Opinions can change over time
+
+Ratings given years ago reflect the opinions of the user at that time. They may not be accurate any more.
+
+### Solutions
+
+**Motivate the user to always compare works.**\
+\*insert good UX here\*
+
+## Problem: Some works are not "fair" to compare
+
+Different things are liked for different factors. Sometimes a one-dimensional comparison in form of a rating/ranking doesn't make sense.
+
+### Solutions
+
+**Make aspects of works rateable.**\
+An aspect is a rateable part of a work. In other words: If you can say how good a work does something, that something is an aspect. This also is a way to avoid tags which are not objective, making them an aspect instead.
+
+## Misc
+
+**The under-educated statistician inside me wants the ratings to follow some distribution.**\
+This would combine ranking and rating. Ranking with the combination of a static (but customizable) distribution results in a rating for each work.