Shine On (track) by The Kooks

Shine On by The Kooks
Year: 2008
From the album Konk (track #9)
Average Rating: 
77/100 (from 14 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history

Shine On appears on the following album(s) by The Kooks:


Upcoming concerts

May
26
Sun
20:00
Nuclear Monkey, rug
Mercury Lounge, New York, United States. United States
Tickets from $17.65 (Ticketmaster) Get tickets
 
May
28
Tue
19:00
Diljit Dosanjh - DIL-LUMINATI TOUR
Capital One Arena, Washington, United States. United States
Tickets from $49.50 (Ticketmaster) Get tickets
 
Jun
14
Fri
19:00
Dwight Yoakam with Special Guest The Mavericks
Red Hat Amphitheater, Raleigh, United States. United States
Tickets from $35.00 (Ticketmaster) Get tickets
 
Discover more upcoming concerts

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Shine On ratings

Average Rating: 
77/100 (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.

Showing latest 5 ratings for this track. | Show all 14 ratings for this track.

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RatingDate updatedMemberTrack ratingsAvg. track rating
 
80/100
 Report rating
11/03/2021 18:59 PapaShiz86  Ratings distributionRatings distribution 4,01783/100
 
95/100
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08/13/2020 09:25 MrScallops  Ratings distributionRatings distribution 1,17769/100
 
80/100
 Report rating
04/21/2020 00:39 LosWochos  Ratings distributionRatings distribution 263,62380/100
 
90/100
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01/19/2020 12:34 Altsoul  Ratings distributionRatings distribution 2,02188/100
 
75/100
 Report rating
04/05/2019 12:55 vengefulwill  Ratings distributionRatings distribution 27,87679/100

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 77.4/100, a mean average of 78.2/100, and a trimmed mean (excluding outliers) of 78.2/100. The standard deviation for this track is 12.0.

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