Train In Vain (track)
by Annie Lennox

Train In Vain by Annie Lennox
Year: 1995
From the album Medusa (track #5)
Average Rating: 
75/100 (from 10 votes)
  Ratings distribution   Average rating history

Listen on Spotify SPOTIFY
Medusa (10 tracks) « Previous track (#4)
Don't Let It Bring You Down
This track (#5)
Train In Vain
Next track (#6) »
I Can't Get Next To You

Train In Vain appears on the following album(s) by Annie Lennox:


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Train In Vain ratings

Average Rating: 
75/100 (from 10 votes)
  Ratings distribution Help 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.

Showing latest 5 ratings for this track.  | Show all 10 ratings for this track.

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RatingDate updatedMemberTrack ratingsAvg. track rating
 
55/100
 !
12/13/2024 11:06 dukeboxkool  Ratings distribution  8,45975/100
 
100/100
 !
02/05/2023 14:26 Phmus84  Ratings distribution  16,454100/100
 
65/100
 !
05/04/2021 19:04 Garyf1972  Ratings distribution  8,10462/100
 
65/100
 !
11/29/2018 13:23 ruiandr77  Ratings distribution  20,06170/100
 
60/100
 !
11/10/2016 07:31 Leonard  Ratings distribution  33,89675/100

Rating metrics: Help 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 74.7/100, a mean average of 73.5/100, and a trimmed mean (excluding outliers) of 73.5/100. The standard deviation for this track is 14.2.


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