Shades Of Michaelangelo (track)
by Belinda Carlisle
Year: 1989
From the album Runaway Horses (track #10)
Listen on Spotify
Shades Of Michaelangelo appears on the following album(s) by Belinda Carlisle:
- Runaway Horses (track #10) (this album) (1989)
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Condition: Used
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Condition: Good
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Condition: Used
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Listen to Shades Of Michaelangelo on YouTube
Shades Of Michaelangelo 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 |
|---|---|---|---|---|
| ! | 08/17/2025 14:13 |  Igtonumama | 31,394 | 81/100 |
| ! | 09/23/2023 16:42 | philipdstewart | 86 | 81/100 |
| ! | 10/06/2021 15:59 | MOgnjenovic | 1,797 | 76/100 |
| ! | 11/07/2020 20:50 | ruiandr77 | 20,061 | 70/100 |
| ! | 10/30/2019 03:20 |  Tamthebam | 43,732 | 79/100 |
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 12% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 78.5/100, a mean average of 80.4/100, and a trimmed mean (excluding outliers) of 80.4/100. The standard deviation for this track is 19.5.
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Shades Of Michaelangelo comments
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Stunning song. Always loved this album but think this is massively underrated.
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