Music reviews have their place, but when it really comes down to it, the most important aspect of a song is how many times you actually play it.
Well, I’m a total nerd when it comes to statistics, and I keep a detailed eye on my iTunes play counts. Apart from music videos and live performances, I listen to everything via my iPhone or iTunes. I am not a streamer.
This habit has led to a detailed list of stats that I enjoy pouring over every once and awhile. For a while now, I’ve wanted to document them in a more meaningful way, and that’s where this feature comes in.
You may or may not be interested in actually seeing this, and this may become the most self-indulgent series of posts in Bias List history, but I’m going to do it anyway. And, I challenge you to do the same!
For play count information, I use the “Play Time” app, though I only started using iTunes properly in May of 2015. Any play counts from prior to that month exist somewhere in the ether, never to be retrieved. That gives a serious disadvantage to second-gen groups – some of which I love dearly but barely made it onto the list (or didn’t make it at all).
Below, you’ll find four tables – two for K-pop, and two for J-pop. The first is simply a ranking of my top-played artists – Top 25 for K-pop, Top 10 for J-pop. The second attempts to account for the disparity in discography size. Obviously, an artist with 300 songs is going to have more play counts than one with 50. So, for this second round of tables, I used the following formula to come up with a weighted score:
Total plays ÷ Number of songs from that artist in my collection
I plan to add follow-up posts to this feature every once and awhile, updating to see who rises and falls. This may end up being for my gratification only, but hopefully it can give more context to the “bias” behind my reviews.
|4.||Hey! Say! JUMP||710|
|5.||Hey! Say! JUMP||2.80|