Fanfare For The Common Man (track) by Emerson, Lake & Palmer
Year: 1977
From the album Works (Volume 1) (track #13)
Fanfare For The Common Man appears on the following album(s) by Emerson, Lake & Palmer:
- Works (Volume 1) (track #13) (this album) (1977)
- Works (Volume 1) (track #16) (this album) (1977)
- The Best Of Emerson Lake & Palmer (track #4) (compilation) (1980)
- The Very Best Of Emerson, Lake & Palmer (track #10) (compilation) (2001)
Condition: Used
Condition: Used
Condition: Very good
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Fanfare For The Common Man ratings
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av = trimmed mean average rating an item has currently received.
n = number of ratings an item has currently received.
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Showing latest 5 ratings for this track. | Show all 23 ratings for this track.
Rating | Date updated | Member | Track ratings | Avg. track rating |
---|---|---|---|---|
03/28/2024 22:30 | charadeyouare | 1,603 | 82/100 | |
11/30/2023 01:19 | BorderFreeAndrew | 3,749 | 76/100 | |
10/27/2023 18:05 | Johnnyo | 28,871 | 81/100 | |
08/17/2023 15:04 | flamingyesdept | 15,301 | 83/100 | |
07/25/2023 09:24 | AlexSVK | 2,956 | 61/100 |
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 is rated in the top 3% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 83.3/100, a mean average of 86.3/100, and a trimmed mean (excluding outliers) of 86.3/100. The standard deviation for this track is 7.5.
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Classic track, love the second half. My wife can't stand it, her loss.
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