Watch (track) by Billie Eilish

Watch by Billie Eilish
Year: 2017
From the album Dont Smile At Me (track #4)
Average Rating: 
76/100 (from 19 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history

Watch appears on the following album(s) by Billie Eilish:


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Upcoming concerts

Jun
02
Sun
17:30
Rihanna, Billie Eilish, Miley Cyrus, Britney Spears tributes -2K Pop Queens Unite!
Garden Amphitheatre, Garden Grove, United States. United States
Tickets from $15.00 (Ticketmaster) Get tickets
 
Oct
04
Fri
19:00
BILLIE EILISH: HIT ME HARD AND SOFT: THE TOUR
CFG Bank Arena, Baltimore, United States. United States
Tickets from $53.50 (Ticketmaster) Get tickets
 
Oct
05
Sat
19:00
BILLIE EILISH: HIT ME HARD AND SOFT: THE TOUR
Wells Fargo Center, Philadelphia, United States. United States
Tickets from $59.50 (Ticketmaster) Get tickets
 
Discover more upcoming concerts

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Watch ratings

Average Rating: 
76/100 (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.
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RatingDate updatedMemberTrack ratingsAvg. track rating
 
100/100
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05/19/2024 15:20 phmusic  Ratings distributionRatings distribution 55,504100/100
 
50/100
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08/25/2023 14:07 DommeDamian  Ratings distributionRatings distribution 58,93752/100
 
75/100
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04/18/2023 15:48 chavaloricardin  Ratings distributionRatings distribution 1,86474/100
 
85/100
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12/24/2022 18:24 LT228  Ratings distributionRatings distribution 1,81886/100
 
85/100
 Report rating
12/24/2022 18:23 LT22  Ratings distributionRatings distribution 1,98086/100

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 76.1/100, and a trimmed mean (excluding outliers) of 76.1/100. The standard deviation for this track is 10.3.

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