. . . . (track) by Liturgy

. . . . by Liturgy
Year: 2019
From the album H.A.Q.Q. (track #9)
Average Rating: 
74/100 (from 12 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history
H.A.Q.Q. (9 tracks) « Previous track (#8) This track (#9) Next track »
HAQQ. . . .-

. . . . appears on the following album(s) by Liturgy:


Upcoming concerts

Aug
14
Thu
19:00
Rio Da Yung Og
Riverside Municipal Auditorium, Riverside, United States. United States
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Aug
20
Wed
18:30
$uicideboy$ present Grey Day Tour 2025 w. Night Lovell & more
Ball Arena, Denver, United States. United States
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Jun
28
Sat
19:30
Kasey Chambers with Sunny Sweeney
Birchmere, Alexandria, United States. United States
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Discover more upcoming concerts

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. . . . ratings

Average Rating: 
74/100 (from 12 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.
Sort ratings
RatingDate updatedMemberTrack ratingsAvg. track rating
 
70/100
 Report rating
01/16/2023 16:43 ForegroundNoise  Ratings distributionRatings distribution 27,70464/100
 
75/100
 Report rating
04/20/2022 08:46 ssteve  Ratings distributionRatings distribution 24,67878/100
 
70/100
 Report rating
09/12/2021 15:13 vinichelsea  Ratings distributionRatings distribution 4,38874/100
 
60/100
 Report rating
03/09/2021 11:44 Special  Ratings distributionRatings distribution 28,95471/100
 
85/100
 Report rating
05/09/2020 12:49 migl  Ratings distributionRatings distribution 9,97786/100

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 74.2/100, a mean average of 72.5/100, and a trimmed mean (excluding outliers) of 72.5/100. The standard deviation for this track is 10.5.

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