Grab Her! (track) by Disclosure

Grab Her! by Disclosure
Year: 2013
From the album Settle (track #10)
Average Rating: 
75/100 (from 40 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history
Settle (14 tracks) « Previous track (#9) This track (#10) Next track (#11) »
Second ChanceGrab Her!You & Me (Feat. Eliza Doolittle)

Grab Her! appears on the following album(s) by Disclosure:


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Upcoming concerts

Oct
07
Tue
19:30
Disclosure (Live)
South Side Ballroom, Dallas, United States. United States
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Oct
09
Thu
21:00
Disclosure and Baalti (18 and Over)
The Concourse Project, Austin, United States. United States
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Oct
14
Tue
20:00
Disclosure (18 and Over)
Roadrunner-Boston, Boston, United States. United States
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Discover more upcoming concerts

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Grab Her! ratings

Average Rating: 
75/100 (from 40 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
 
85/100
 Report rating
04/16/2025 15:11 alexandermause  Ratings distributionRatings distribution 13,90585/100
 
70/100
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02/25/2025 19:10 VanillaBean  Ratings distributionRatings distribution 6,22290/100
 
75/100
 Report rating
11/27/2023 14:50 ssteve  Ratings distributionRatings distribution 24,75578/100
 
75/100
 Report rating
11/08/2023 06:28 matterhornrider  Ratings distributionRatings distribution 22,17086/100
 
50/100
 Report rating
10/07/2023 07:33 Mrump  Ratings distributionRatings distribution 1,79279/100

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 74.5/100, a mean average of 73.1/100, and a trimmed mean (excluding outliers) of 74.1/100. The standard deviation for this track is 11.6.

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