Thank You (track)
by フィッシュマンズ [Fishmans]
Year: 1999
From the album 98.12.28 男達の別れ [98.12.28 Otokotachi No Wakare] (track #4)
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Thank You appears on the following album(s) by フィッシュマンズ [Fishmans]:
- 98.12.28 男達の別れ [98.12.28 Otokotachi No Wakare] (track #4) (this album) (1999)
- Oh! Mountain (track #7) (1995)
- 若いながらも歴史あり 96.3.2@新宿Liquid Room (track #3) (2021)
Upcoming concerts
Listen to Thank You on YouTube
Thank You 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.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 11/20/2025 19:55 | Exist-en-ciel | 18,280 | 70/100 |
| ! | 11/20/2025 00:45 |  AAL2014 | 33,942 | 76/100 |
| ! | 09/20/2025 18:02 | gmessian | 1,390 | 55/100 |
| ! | 06/09/2024 13:13 |  DommeDamian | 72,058 | 51/100 |
| ! | 05/06/2024 05:11 | brent13 | 10,909 | 85/100 |
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 2% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 85.6/100, a mean average of 85.2/100, and a trimmed mean (excluding outliers) of 86.6/100. The standard deviation for this track is 12.9.
Thank You favourites
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Thank You comments
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