Logseq

This nice video on Zipf’s law got me thinking about the seemingly ubiquitous observation of Zipf-like distributions in empirical data. The basic idea is that: If you rank items (words, cities, names, etc.) by how frequently they occur, their frequency is inversely proportional to their rank. We see instances of Zipf’s Law all the time in our research on human mobility: in the distribution of cities by population size, or the frequency of travel between cities....

I use Git to track changes to my Logseq Graph and keep a remote version of my repository on GitHub (as a backup). Logseq can automatically commit changes to your files at a given a time interval and this gives a great record of what you are doing all day, with data that is relatively easy to analyze (if you ever wanted to). Tracking Logseq with Git works very well, until it doesn’t!...