Randy Scouse Git (track)
by The Monkees
Randy Scouse Git appears on the following album(s) by The Monkees:
- Headquarters (track #14) (this album) (1967)
- Music Box (track #39) (2001)
- Greatest Hits (track #9) (1995)
- The Best Of The Monkees (track #15) (compilation) (2003)
- Then & Now ... The Best Of The Monkees (track #11) (compilation) (1986)
- An Introduction To The Monkees, Vol. 1 (track #9) (compilation) (2018)
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Condition: Used
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Condition: Used
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Randy Scouse Git 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 |
|---|---|---|---|---|
| ! | 12/20/2025 09:09 | Exist-en-ciel | 78,428 | 70/100 |
| ! | 11/20/2025 06:26 | plasmicmist | 7,586 | 91/100 |
| ! | 10/04/2025 23:45 | culwin | 20,523 | 75/100 |
| ! | 07/08/2025 01:58 |  ExTeaSea | 12,449 | 85/100 |
| ! | 04/18/2024 07:16 | TradeShark | 4,948 | 30/100 |
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 4% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 81.8/100, a mean average of 81.3/100, and a trimmed mean (excluding outliers) of 83.4/100. The standard deviation for this track is 16.1.
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