I Love You So Much It Hurts (track)
by Ray Charles
Year: 1962
From the album Modern Sounds In Country And Western Music (track #4)
Listen on Spotify
I Love You So Much It Hurts appears on the following album(s) by Ray Charles:
- Modern Sounds In Country And Western Music (track #4) (this album) (1962)
- Greatest Country And Western Hits (track #12) (compilation) (1988)
- Modern Sounds In Country And Western Music Volumes 1 & 2 (track #4) (compilation) (2009)
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Condition: Used
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Condition: Used
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I Love You So Much It Hurts 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 |
|---|---|---|---|---|
| ! | 02/08/2026 18:44 | dukeboxkool | 7,086 | 75/100 |
| ! | 12/21/2025 00:36 | Exist-en-ciel | 77,942 | 70/100 |
| ! | 05/11/2025 13:34 | wizardalien | 8,999 | 67/100 |
| ! | 03/22/2025 05:58 | MrOlan | 6,966 | 79/100 |
| ! | 02/14/2025 20:40 |  DommeDamian | 73,168 | 51/100 |
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 has a Bayesian average rating of 77.1/100, a mean average of 77.4/100, and a trimmed mean (excluding outliers) of 77.4/100. The standard deviation for this track is 12.8.
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