Harlem Shuffle (track)
by The Rolling Stones
Harlem Shuffle appears on the following album(s) by The Rolling Stones:
- Dirty Work (track #3) (1986)
- Jump Back: The Best Of The Rolling Stones (track #3) (compilation) (1993)
- Grrr! (track #43) (this album) (compilation) (2012)
- Live At The Tokyo Dome (track #4) (2012)
- Honk (track #20) (compilation) (2019)
- Steel Wheels Live Atlantic City New Jersey (track #6) (2020)
- Star Box (track #10) (compilation) (1989)
Upcoming concerts






Listen to Harlem Shuffle on YouTube
Harlem Shuffle 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 |
|---|---|---|---|---|
| ! | 10/23/2023 13:30 | 44,611 | 79/100 | |
| ! | 09/05/2021 03:15 | lwarner | 4,057 | 81/100 |
| ! | 07/07/2019 05:28 | Johnnyo | 42,705 | 80/100 |
| ! | 11/29/2017 21:41 | WalrusAssassin13 | 7,011 | 70/100 |
| ! | 11/27/2016 21:18 | juanr1096 | 71,455 | 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 has a Bayesian average rating of 70.3/100, a mean average of 65.8/100, and a trimmed mean (excluding outliers) of 65.8/100. The standard deviation for this track is 8.3.
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