The Same (track)
by The Smile
Year: 2022
From the album A Light For Attracting Attention (track #1)
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The Same appears on the following album(s) by The Smile:
- A Light For Attracting Attention (track #1) (this album) (2022)
Condition: Used
Condition: Used
Listen to The Same on YouTube
The Same 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 103 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| 03/05/2026 17:16 | Exist-en-ciel | 101,824 | 71/100 | |
| 12/26/2025 12:17 | platus | 32,637 | 76/100 | |
| 07/28/2025 12:04 | wizardalien | 9,318 | 63/100 | |
| 08/14/2024 15:50 | araidernomore | 4,560 | 78/100 | |
| 06/29/2024 10:46 | Vasco | 8,543 | 77/100 |
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 4% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 81.5/100, a mean average of 80.2/100, and a trimmed mean (excluding outliers) of 82.0/100. The standard deviation for this track is 14.0.
The Same favourites
Showing all 5 members who have added this track as a favourite
The Same comments
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