The Bells (track)
by Phil Ochs
Year: 1964
From the album All The News That's Fit To Sing (track #7)
Listen on Spotify SPOTIFY
The Bells appears on the following album(s) by Phil Ochs:
- All The News That's Fit To Sing (track #7) (this album) (1964)
- Live Again! (track #1) (2014)
- Chords Of Fame (track #5) (compilation) (1976)
- There And Now: Live In Vancouver 1968 (track #7) (1990)
Listen & Collect
Complete your collection or upgrade your listening experience.
Listen to The Bells on YouTube
The Bells 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 3 ratings for this track. | Show all 12 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 01/31/2025 16:02 | daCritic | 39,369 | 75/100 |
| ! | 07/12/2024 11:17 | habibi333 | 2,570 | 64/100 |
| ! | 12/04/2022 10:37 | LosWochos | 317,313 | 80/100 |
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 75.0/100, a mean average of 74.2/100, and a trimmed mean (excluding outliers) of 74.2/100. The standard deviation for this track is 13.7.
The Bells comments
Be the first to add a comment for this track - add your comment!
