Turn Around (track)
by Whiskeytown
Year: 1997
From the album Strangers Almanac (track #7)
Listen on Spotify SPOTIFY
Turn Around appears on the following album(s) by Whiskeytown:
- Strangers Almanac (track #7) (this album) (1997)
Listen & Collect
Complete your collection or upgrade your listening experience.
Listen to Turn Around on YouTube
Turn Around 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 25 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 05/28/2026 11:56 | Exist-en-ciel | 167,844 | 71/100 |
| ! | 01/13/2026 13:00 | Pluto11 | 28,736 | 75/100 |
| ! | 08/31/2025 10:06 | spinout | 41,132 | 83/100 |
| ! | 03/11/2022 01:08 | Taosjohn | 4,231 | 75/100 |
| ! | 11/30/2021 13:21 | Fertu | 40,979 | 82/100 |
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 6% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 79.7/100, a mean average of 81.2/100, and a trimmed mean (excluding outliers) of 81.2/100. The standard deviation for this track is 9.8.
Turn Around comments
Be the first to add a comment for this track - add your comment!
