Walk Through (track) by L'Rain

Walk Through by L'Rain
Year: 2021
From the album Fatigue (track #11)
Average Rating: 
76/100 (from 10 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history
Fatigue (14 tracks) « Previous track (#10) This track (#11) Next track (#12) »
Two FaceWalk ThroughI V

Walk Through appears on the following album(s) by L'Rain:


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Upcoming concerts

Sep
21
Sun
20:00
Demxntia with Niko Rain, and cøzybøy
Cafe Du Nord, San Francisco, United States. United States
Tickets from Ticketmaster Get tickets
 
Oct
03
Fri
19:30
Murder Medication w/ Confusion, Commatrios, Burn The Rain
Cubby Bear, Chicago, United States. United States
Tickets from Ticketmaster Get tickets
 
Oct
04
Sat
20:00
Box of Rain
The Queen, Wilmington, United States. United States
Tickets from Ticketmaster Get tickets
 
Discover more upcoming concerts

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Walk Through ratings

Average Rating: 
76/100 (from 10 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
 
90/100
 Report rating
08/17/2025 04:20 mttr-in-plc  Ratings distributionRatings distribution 1,99788/100
 
80/100
 Report rating
12/19/2023 18:41 LosWochos  Ratings distributionRatings distribution 307,86280/100
 
65/100
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07/13/2022 19:05 DommeDamian  Ratings distributionRatings distribution 70,93751/100
 
90/100
 Report rating
03/27/2022 19:03 Anti  Ratings distributionRatings distribution 44,60493/100
 
70/100
 Report rating
01/27/2022 03:26 juanr1096  Ratings distributionRatings distribution 70,15379/100

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 76.2/100, a mean average of 76.0/100, and a trimmed mean (excluding outliers) of 76.0/100. The standard deviation for this track is 13.2.

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