I've asked this before. If you haven't played in awhile, naturally you're probably going to lose more than if you're really on top of your game. Why punish the player even more for losses?
Which federations use this, and which don't? Maybe I'm cynical, but this just seems like a cheap gimmick to get players to chase after the ratings points they just lost.
Glicko is trying to put a measure of accuracy into the rating. New players don't have a history, so any rating generated is going to have a high level of uncertainty, so the magnitude of the rating changes will be larger until more games have been played and the rating starts to settle down. When that uncertainty value, RD, gets low enough, the rating is more stable and the rating is more reflective of recent performance. With new players, this method should get them closer to their real strength quickly.
If a player doesn't play for a while, their rating is less certain, since there aren't recent games, and the RD value will have increased as a measure of that uncertainty. If the player has lost/gained chess chess skill/knowledge, the increased value will quickly help the rating adjust to one more reflective of current strength.
I've asked this before. If you haven't played in awhile, naturally you're probably going to lose more than if you're really on top of your game. Why punish the player even more for losses?
Which federations use this, and which don't? Maybe I'm cynical, but this just seems like a cheap gimmick to get players to chase after the ratings points they just lost.