Sordid (track)
by Amon Tobin
Sordid appears on the following album(s) by Amon Tobin:
- Permutation (track #4) (this album) (1998)
Listen & Collect
Complete your collection or upgrade your listening experience.
Listen to Sordid on YouTube
Sordid 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 23 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 05/30/2026 03:51 | Exist-en-ciel | 160,619 | 71/100 |
| ! | 01/08/2025 05:44 | Scrabbler | 776 | 82/100 |
| ! | 07/31/2023 21:23 | MaxStorm98 | 51,527 | 99/100 |
| ! | 12/30/2022 11:38 | Phmus84 | 16,455 | 100/100 |
| ! | 11/03/2022 18:50 | javicho07 | 27,348 | 100/100 |
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 2% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 83.2/100, a mean average of 86.3/100, and a trimmed mean (excluding outliers) of 86.3/100. The standard deviation for this track is 11.2.
Sordid favourites
Showing all 2 members who have added this track as a favourite
Sordid comments
Be the first to add a comment for this track - add your comment!
