Devil Eyes (track) by Tim Buckley

Devil Eyes by Tim Buckley
Year: 1972
From the album Greetings From L.A. (track #5)
Average Rating: 
77/100 (from 17 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history
Greetings From L.A. (7 tracks) « Previous track (#4) This track (#5) Next track (#6) »
Nighthawkin'Devil EyesHong Kong Bar

Devil Eyes appears on the following album(s) by Tim Buckley:


Product Details
Availability

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Tim Buckley Honeyman Live November 27 1973 Sealed CD 1995 Manifesto Records
Condition: Brand New


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Upcoming concerts

May
17
Sat
18:00
In The Round with Robby Hecht, Kristina Murray, Mariel Buckley & Trevor Bahnson
The Bluebird Cafe, Nashville, United States. United States
Tickets from Ticketmaster Get tickets
 
Jun
27
Fri
19:00
Madds Buckley
Exit/In, Nashville, United States. United States
Tickets from Ticketmaster Get tickets
 
Discover more upcoming concerts

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Devil Eyes ratings

Average Rating: 
77/100 (from 17 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
 
75/100
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11/16/2024 22:10 zoso72  Ratings distributionRatings distribution 9368/100
 
80/100
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02/29/2024 23:45 matterhornrider  Ratings distributionRatings distribution 21,39686/100
 
40/100
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08/26/2023 22:29 DommeDamian  Ratings distributionRatings distribution 67,05152/100
 
75/100
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10/02/2022 00:39 Moondance  Ratings distributionRatings distribution 14,57475/100
 
70/100
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11/29/2021 12:40 Jboy56  Ratings distributionRatings distribution 39,21978/100

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 77.2/100, a mean average of 77.6/100, and a trimmed mean (excluding outliers) of 77.6/100. The standard deviation for this track is 16.2.

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