Who By Fire (track) by Coil

Who By Fire by Coil
Year: 1986
From the album Horse Rotorvator (track #9)
Average Rating: 
77/100 (from 19 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history

Who By Fire appears on the following album(s) by Coil:


Upcoming concerts

May
02
Thu
20:00
LACUNA COIL Ignite The Fire Tour w/ NEW YEAR'S DAY & OCEANS OF SLUMBER
The Queen, Wilmington, United States. United States
Tickets from $27.50 (Ticketmaster) Get tickets
 
May
03
Fri
18:30
LACUNA COIL Ignite The Fire Tour w/ NEW YEAR'S DAY & OCEANS OF SLUMBER
The Stone Pony, Asbury Park, United States. United States
Tickets from $29.50 (Ticketmaster) Get tickets
 
May
04
Sat
18:30
Lacuna Coil
Reverb, Reading, United States. United States
Tickets from $29.50 (Ticketmaster) Get tickets
 
Discover more upcoming concerts

Listen to Who By Fire on YouTube

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Who By Fire ratings

Average Rating: 
77/100 (from 19 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 19 ratings for this track.

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RatingDate updatedMemberTrack ratingsAvg. track rating
 
75/100
 Report rating
02/26/2024 02:53 juanr1096  Ratings distributionRatings distribution 61,38179/100
 
65/100
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12/14/2023 06:33 Kalos  Ratings distributionRatings distribution 9,95375/100
 
75/100
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08/15/2023 09:10 Fertu  Ratings distributionRatings distribution 39,44182/100
 
100/100
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03/09/2023 16:12 Phmus84  Ratings distributionRatings distribution 16,489100/100
 
90/100
 Report rating
07/30/2021 19:55 Anti  Ratings distributionRatings distribution 43,52393/100

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 77.9/100, and a trimmed mean (excluding outliers) of 77.9/100. The standard deviation for this track is 10.7.

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