C O S M (track) by Jon Hopkins

C O S M by Jon Hopkins
Year: 2018
From the album Singularity (track #6)
Average Rating: 
74/100 (from 27 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history
Singularity (9 tracks) « Previous track (#5) This track (#6) Next track (#7) »
Feel First LifeC O S MEcho Dissolve

C O S M appears on the following album(s) by Jon Hopkins:


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JON HOPKINS Opalescent 2xLP New! Sealed! 2021 Just BLUE VINYL w/ SIGNED POSTCARD
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Upcoming concerts

Oct
11
Sat
17:30
Covet, LITE, Wylie Hopkins
The Crocodile, Seattle, United States. United States
Tickets from Ticketmaster Get tickets
 
Oct
17
Fri
19:00
Covet with LITE and Wylie Hopkins
Teragram Ballroom, Los Angeles, United States. United States
Tickets from Ticketmaster Get tickets
 
Discover more upcoming concerts

Listen to C O S M on YouTube

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C O S M ratings

Average Rating: 
74/100 (from 27 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
 
50/100
 Report rating
01/24/2024 20:55 paladisiac  Ratings distributionRatings distribution 81,97564/100
 
70/100
 Report rating
07/05/2023 19:49 siripii  Ratings distributionRatings distribution 5,30380/100
 
70/100
 Report rating
11/24/2020 08:01 ssteve  Ratings distributionRatings distribution 24,73978/100
 
70/100
 Report rating
02/18/2020 01:55 lvnchbox  Ratings distributionRatings distribution 17,67779/100
 
70/100
 Report rating
12/28/2018 06:22 scwrlw  Ratings distributionRatings distribution 12,42374/100

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 74.1/100, a mean average of 73.3/100, and a trimmed mean (excluding outliers) of 73.3/100. The standard deviation for this track is 12.3.

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