Calais To Dover (track)
by Bright Eyes
Year: 2020
From the album Down In The Weeds, Where The World Once Was (track #13)
Listen on Spotify SPOTIFY
Calais To Dover appears on the following album(s) by Bright Eyes:
- Down In The Weeds, Where The World Once Was (track #13) (this album) (2020)
Listen & Collect
Complete your collection or upgrade your listening experience.
Listen to Calais To Dover on YouTube
Calais To Dover 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 20 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 07/18/2026 13:41 | 75,221 | 51/100 | |
| ! | 07/16/2026 14:36 | Exist-en-ciel | 166,454 | 71/100 |
| ! | 06/25/2025 01:30 | 32,820 | 81/100 | |
| ! | 06/12/2023 03:23 | Toffuey | 2,286 | 85/100 |
| ! | 10/27/2022 19:28 | 76,061 | 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 74.8/100, and a trimmed mean (excluding outliers) of 76.6/100. The standard deviation for this track is 11.0.
Calais To Dover favourites
Calais To Dover comments
Be the first to add a comment for this track - add your comment!
