All Apologies (track) by Nirvana
All Apologies appears on the following album(s) by Nirvana:
- In Utero (track #12) (1993)
- MTV Unplugged In New York (track #13) (1994)
- With The Lights Out (track #61) (compilation) (2004)
- Nirvana (track #13) (compilation) (2002)
- Live At Reading (track #17) (this album) (2009)
- Singles (track #14) (compilation) (1995)
- Sliver: The Best Of The Box (track #22) (compilation) (2005)
- Live And Loud (track #9) (2019)
Upcoming concerts
Listen to All Apologies on YouTube
All Apologies ratings
where:
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.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
100/100  | 02/23/2025 22:12 | kinginsomniac12 | | 100/100 |
95/100 | 09/01/2024 13:34 | tiger555 | | 97/100 |
85/100 | 01/04/2024 17:50 | spinout | | 83/100 |
85/100 | 05/02/2022 09:30 | LosWochos | | 80/100 |
95/100 | 06/13/2020 07:10 |  Xxnu99etxX | | 63/100 |
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 3% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 83.1/100, a mean average of 82.7/100, and a trimmed mean (excluding outliers) of 85.8/100. The standard deviation for this track is 19.1.
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