Catcher In The Rye (track)
by Guns N' Roses
Year: 2008
From the album Chinese Democracy (track #7)
Listen on Spotify SPOTIFY
Catcher In The Rye appears on the following album(s) by Guns N' Roses:
- Chinese Democracy (track #7) (this album) (2008)
Listen & Collect
Complete your collection or upgrade your listening experience.
Listen to Catcher In The Rye on YouTube
Catcher In The Rye ratings
Average Rating = (n ÷ (n + m)) × av + (m ÷ (n + m)) × AVwhere:
av = trimmed mean average rating an item has currently received.
n = number of ratings an item has currently received.
m = minimum number of ratings required for an item to appear in a 'top-rated' chart (currently 10).
AV = the site mean average rating.
Showing latest 5 ratings for this track. | Show all 33 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 06/23/2026 21:13 | culwin | 22,509 | 75/100 |
| ! | 06/10/2026 13:19 | Exist-en-ciel | 165,824 | 71/100 |
| ! | 11/07/2025 22:49 | mrmcrook | 12,562 | 78/100 |
| ! | 01/19/2025 09:24 | zsolti | 7,252 | 80/100 |
| ! | 11/23/2024 17:52 | Siromynian | 17,775 | 71/100 |
Rating metrics:
Outliers can be removed when calculating a mean average to dampen the effects of ratings outside the normal distribution. This figure is provided as the trimmed mean. A high standard deviation can be legitimate, but can sometimes indicate 'gaming' is occurring. Consider a simplified example* of an item receiving ratings of 100, 50, & 0. The mean average rating would be 50. However, ratings of 55, 50 & 45 could also result in the same average. The second average might be more trusted because there is more consensus around a particular rating (a lower deviation).
(*In practice, some tracks can have several thousand ratings)
This track has a Bayesian average rating of 73.4/100, a mean average of 72.6/100, and a trimmed mean (excluding outliers) of 72.6/100. The standard deviation for this track is 15.7.
Catcher In The Rye favourites
Catcher In The Rye comments
Be the first to add a comment for this track - add your comment!
