Come On (track) by The Rolling Stones

Come On by The Rolling Stones
Year: 1989
From the album Singles Collection: The London Years (track #1)
Average Rating: 
75/100 (from 14 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history
Singles Collection: The London Years (58 tracks) « Previous track This track (#1) Next track (#2) »
-Come OnI Want To Be Loved

Come On appears on the following album(s) by The Rolling Stones:


Upcoming concerts

May
24
Sat
21:00
The Smoking Jackets Presents: Tributes to Johnny Cash, Tom Petty, The Rolling Stones
Tuffy's Music Box, Sanford, United States. United States
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May
24
Sat
21:00
ROCKS OFF: A Rolling Stones Tribute Returns to FITZGERALDS Historic Nightclub!
FITZGERALDS NIGHTCLUB, Berwyn, United States. United States
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May
29
Thu
20:00
The Unauthorized Rolling Stones
Blue Note Napa, Napa, United States. United States
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Come On ratings

Average Rating: 
75/100 (from 14 votes)
  Ratings distributionRatings distribution Average Rating = (n ÷ (n + m)) × av + (m ÷ (n + m)) × AV
where:
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.
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RatingDate updatedMemberTrack ratingsAvg. track rating
 
80/100
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06/04/2024 15:37 Fevernova  Ratings distributionRatings distribution 34,10582/100
 
70/100
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09/05/2021 15:06 lwarner  Ratings distributionRatings distribution 4,05781/100
 
75/100
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10/12/2018 18:04 Liedzeit  Ratings distributionRatings distribution 8,72577/100
 
60/100
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11/29/2017 21:36 WalrusAssassin13  Ratings distributionRatings distribution 7,01470/100
 
75/100
 Report rating
09/26/2016 17:47 garycottier  Ratings distributionRatings distribution 6,34884/100

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 75.3/100, a mean average of 74.6/100, and a trimmed mean (excluding outliers) of 74.6/100. The standard deviation for this track is 10.9.

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