See Who I Am (track)
by Within Temptation
Year: 2004
From the album The Silent Force (track #2)
Listen on Spotify SPOTIFY
See Who I Am appears on the following album(s) by Within Temptation:
- The Silent Force (track #2) (this album) (2004)
Listen & Collect
Complete your collection or upgrade your listening experience.
Listen to See Who I Am on YouTube
See Who I Am 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 27 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 16 hours ago | Exist-en-ciel | 165,652 | 71/100 |
| ! | 11/18/2025 16:12 | steve397 | 5,585 | 74/100 |
| ! | 03/05/2025 20:15 | Siromynian | 17,775 | 71/100 |
| ! | 01/20/2025 12:09 | 33,619 | 71/100 | |
| ! | 02/13/2024 01:42 | musicalla7777 | 143 | 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 4% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 81.3/100, a mean average of 83.3/100, and a trimmed mean (excluding outliers) of 83.3/100. The standard deviation for this track is 9.4.
See Who I Am comments
Be the first to add a comment for this track - add your comment!
