Alphabet (track)
by Shame
Alphabet appears on the following album(s) by Shame:
- Drunk Tank Pink (track #1) (this album) (2021)
Condition: Used
Condition: Used
Condition: Used
Listen to Alphabet on YouTube
Alphabet 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 66 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 01/02/2026 15:33 | Rayzer6 | 19,294 | 89/100 |
| ! | 11/15/2025 23:40 | Exist-en-ciel | 148,778 | 71/100 |
| ! | 11/09/2025 01:49 | sunnydhamm | 18,628 | 57/100 |
| ! | 07/09/2024 19:26 | 68,274 | 76/100 | |
| ! | 05/01/2024 23:29 | tyleraepps | 4,992 | 83/100 |
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 19% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 77.5/100, a mean average of 77.1/100, and a trimmed mean (excluding outliers) of 77.7/100. The standard deviation for this track is 11.1.
Alphabet favourites
Showing all 3 members who have added this track as a favourite
Alphabet comments
Be the first to add a comment for this track - add your comment!



