Everybody Needs Somebody To Love (track) by The Rolling Stones
Year: 1965
From the album The Rolling Stones, Now! (track #1)
Everybody Needs Somebody To Love appears on the following album(s) by The Rolling Stones:
- No. 2 (track #1) (1965)
- Live Licks (track #23) (2004)
- The Rolling Stones, Now! (track #1) (this album) (1965)
- Singles 1963-1965 (track #29) (compilation) (2004)
- Rock 'N' Rolling Stones (track #8) (compilation) (1972)
- The Rolling Stones In Mono (track #25) (compilation) (2016)
- The Rolling Stones In Mono (track #37) (compilation) (2016)
- Singles 1968-1971 (track #6) (compilation) (2005)
- Rolled Gold Vol. 2 (track #6) (compilation) (1981)
Upcoming concerts
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Everybody Needs Somebody To Love ratings
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av = trimmed mean average rating an item has currently received.
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Showing latest 5 ratings for this track. | Show all 31 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
100/100  | 03/17/2024 14:30 | phmusic | | 100/100 |
80/100 | 05/13/2023 00:22 | alexandermause | | 84/100 |
60/100 | 09/22/2022 21:00 | kokkinos | | 68/100 |
75/100 | 08/12/2022 05:28 | Pluto11 | | 76/100 |
85/100 | 07/24/2022 12:26 |  Jboy56 | | 78/100 |
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 76.3/100, a mean average of 76.3/100, and a trimmed mean (excluding outliers) of 76.3/100. The standard deviation for this track is 12.2.
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