Warm And Sunny Days (track)
by The Dears
Year: 2003
From the album No Cities Left (track #9)
Listen on Spotify SPOTIFY
Warm And Sunny Days appears on the following album(s) by The Dears:
- No Cities Left (track #9) (this album) (2003)
- Thank You Good Night Sold Out (track #6) (2004)
Listen & Collect
Complete your collection or upgrade your listening experience.
Listen to Warm And Sunny Days on YouTube
Warm And Sunny Days 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 |
|---|---|---|---|---|
| ! | 06/01/2026 08:38 | Exist-en-ciel | 169,927 | 71/100 |
| ! | 09/13/2025 12:43 | 76,461 | 68/100 | |
| ! | 04/02/2024 02:29 | 33,274 | 81/100 | |
| ! | 09/05/2022 19:44 | bonnequestion | 17,137 | 74/100 |
| ! | 05/13/2022 14:52 | 83,245 | 64/100 |
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 76.5/100, a mean average of 77.0/100, and a trimmed mean (excluding outliers) of 77.0/100. The standard deviation for this track is 12.9.
Warm And Sunny Days favourites
Warm And Sunny Days comments
Be the first to add a comment for this track - add your comment!
