That's interesting,
RAR is a container format (much like the media container formats for video/audio), so it's not really apples to apples to compare it to bzip. Here are some of my other thoughts.
1: It is still intrinsically part of the Unix ecosystem, invisible to most on a day to day basis as the operating system quietly manages packages and libraries in the background.
2: RAR isn't a compression format and it was chained with zip, bzip, or another compression tool for decades. For convenience zip compression support was added on many platforms.
3: PAR is awesome tech and some clever math, but is also an over the top add on. Since most people experienced PAR on Usenet or a similar service where the idea was to maximize the recoverability individual files withing a larger archive that had been split up, it made less sense to compress or encrypt the parts of a file, and video files were already compressed due to the video codecs
4: It is just as relevant as ever to compress data in flight, even down to the hardware layer. Systems are starting to compress data at rest in RAM now, because fast cpu efficient compression is so cheap now with a modern CPU it is often faster to compress/decompress data in the memory tier than to pull from a deeper storage tier. It literally takes less time to decompress the block you just got than to read and wait for the next block.
5: so as a container format, you can compress whatever you want, however you want, and even include the tools to extract whatever that is, and in most cases end up using significantly less space than you started.
6: All the little things add up to big things at scale. Why do you think that web developers push so much crap JavaScript onto your machine? Becuase using 95% of your CPU costs them nothing, and if it saves them 5% overhead on their end, that is one less server in a rack, one less rack used in row. The lowest storage tiers may not be expensive, but the middle ones are, and the power that drives them has bigger costs too. So inline and on the fly compression is a comparatively easy drop in, and low hanging fruit for performance enhancements, and it can achieve similar gains without the expert time and cost of line-by-line performance tuning of a code base.