Lonely Weekend (track)
by Kacey Musgraves
Year: 2018
From the album Golden Hour (track #2)
Listen on Spotify SPOTIFY
Lonely Weekend appears on the following album(s) by Kacey Musgraves:
- Golden Hour (track #2) (this album) (2018)
Listen to Lonely Weekend on YouTube
Lonely Weekend 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 86 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| 12/03/2025 23:10 | Exist-en-ciel | 101,391 | 71/100 | |
| 04/20/2024 12:07 | 8,448 | 60/100 | ||
| 08/08/2023 15:41 | matterhornrider | 23,006 | 86/100 | |
| 07/25/2023 18:21 | VanillaBean | 6,255 | 89/100 | |
| 07/20/2023 22:17 | plasmicmist | 7,586 | 91/100 |
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 11% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 78.5/100, a mean average of 78.1/100, and a trimmed mean (excluding outliers) of 78.8/100. The standard deviation for this track is 15.1.
Lonely Weekend favourites
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Lonely Weekend comments
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This sounds like something straight out of 2003 in the most oddly familiar way...

