Amber (track)
by The Residents
Year: 1980
From the album The Commercial Album (track #5)
Listen on Spotify SPOTIFY
Amber appears on the following album(s) by The Residents:
- The Commercial Album (track #5) (this album) (1980)
- 13th Anniversary Show - Live In Japan (track #9) (1986)
- Our Tired, Our Poor, Our Huddled Masses (track #12) (compilation) (1997)
- Heaven? (track #9) (compilation) (1986)
Upcoming concerts
Listen to Amber on YouTube
Amber 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 10 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| 07/27/2024 11:43 |  AAL2014 | 36,005 | 76/100 | |
| 01/23/2024 08:48 |  Jboy56 | 39,199 | 78/100 | |
| 01/11/2020 10:38 |  Liedzeit | 9,980 | 77/100 | |
| 03/28/2016 21:18 | Coconut | 4,792 | 68/100 | |
| 07/01/2015 23:49 | mostlymor | 86,985 | 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 75.3/100, a mean average of 74.5/100, and a trimmed mean (excluding outliers) of 74.5/100. The standard deviation for this track is 10.4.
Amber comments
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