Murdered Out (track) by Kim Gordon

Murdered Out by Kim Gordon
Year: 2019
From the album No Home Record (track #4)
Average Rating: 
75/100 (from 17 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history
No Home Record (9 tracks) « Previous track (#3) This track (#4) Next track (#5) »
Paprika PonyMurdered OutDon't Play It

Murdered Out appears on the following album(s) by Kim Gordon:


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Upcoming concerts

Sep
21
Sun
18:30
Wishbone Zoe • Jolee Gordon • Karlo Rueby
Berlin, New York, United States. United States
Tickets from Ticketmaster Get tickets
 
Sep
23
Tue
21:00
In The Round with Paul Burch, Emily Clement, Kevin Gordon & Will Kimbrough
The Bluebird Cafe, Nashville, United States. United States
Tickets from Ticketmaster Get tickets
 
Oct
17
Fri
20:30
Jazz Legends: GORDON GOODWIN's BIG PHAT BAND (Grammy Award-winning Musician, Band Leader and Producer)
Catalina Bar & Grill, Hollywood, United States. United States
Tickets from Ticketmaster Get tickets
 
Discover more upcoming concerts

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Murdered Out ratings

Average Rating: 
75/100 (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.
Sort ratings
RatingDate updatedMemberTrack ratingsAvg. track rating
 
70/100
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08/05/2025 18:02 Igtonumama  Ratings distributionRatings distribution 30,15881/100
 
60/100
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02/20/2024 20:10 ForegroundNoise  Ratings distributionRatings distribution 28,08964/100
 
90/100
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09/29/2021 18:35 Kuusineo  Ratings distributionRatings distribution 5,24985/100
 
80/100
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09/12/2021 15:26 vinichelsea  Ratings distributionRatings distribution 4,38874/100
 
85/100
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11/14/2020 22:56 IanFrance  Ratings distributionRatings distribution 3,46783/100

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 75.5/100, a mean average of 75.0/100, and a trimmed mean (excluding outliers) of 75.0/100. The standard deviation for this track is 12.5.

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