Words (track)
by Missing Persons
Year: 1982
From the album Spring Session M (track #9)
Listen on Spotify SPOTIFY
Words appears on the following album(s) by Missing Persons:
- Spring Session M (track #9) (this album) (1982)
- The Best Of Missing Persons (track #1) (compilation) (1987)
- Classic Masters (track #2) (compilation) (2002)
Listen & Collect
Complete your collection or upgrade your listening experience.
Listen to Words on YouTube
Words 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 11 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 07/04/2026 22:23 | phmusic | 73,429 | 100/100 |
| ! | 05/12/2025 10:44 | machiaj | 9,085 | 74/100 |
| ! | 07/18/2023 00:03 | BorderFreeAndrew | 5,477 | 74/100 |
| ! | 02/04/2023 00:56 | culwin | 22,738 | 75/100 |
| ! | 04/10/2022 21:24 | 76,176 | 68/100 |
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 76.4/100, a mean average of 76.8/100, and a trimmed mean (excluding outliers) of 76.8/100. The standard deviation for this track is 16.8.
Words favourites
Showing all 2 members who have added this track as a favourite
Words comments
Be the first to add a comment for this track - add your comment!
