Pocket (track) by Feeble Little Horse

Pocket by Feeble Little Horse
Year: 2023
From the album Girl With Fish (track #9)
Average Rating: 
77/100 (from 10 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history

Pocket appears on the following album(s) by Feeble Little Horse:


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Upcoming concerts

May
25
Sat
20:00
ABDUCTED BY THE 80s with Wang Chung and Naked Eyes
Mercury Ballroom, Louisville, United States. United States
Tickets from $35.00 (Ticketmaster) Get tickets
 
Jun
22
Sat
19:00
Frankie Valli & The Four Seasons: The Last Encores
Hard Rock Live at Etess Arena, Atlantic City, United States. United States
Tickets from $59.00 (Ticketmaster) Get tickets
 
Jun
28
Fri
18:00
Paul Cauthen with Kolby Cooper
White Oak Music Hall Lawn, Houston, United States. United States
Tickets from $18.00 (Ticketmaster) Get tickets
 
Discover more upcoming concerts

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Pocket ratings

Average Rating: 
77/100 (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
 
85/100
 Report rating
03/08/2024 00:27 tyleraepps  Ratings distributionRatings distribution 3,67784/100
 
65/100
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02/20/2024 19:59 sunnydhamm  Ratings distributionRatings distribution 17,09456/100
 
70/100
 Report rating
01/24/2024 22:43 travelful  Ratings distributionRatings distribution 10,86281/100
 
85/100
 Report rating
01/10/2024 14:30 covecove  Ratings distributionRatings distribution 64,16584/100
 
95/100
 Report rating
01/04/2024 04:39 AAL2014  Ratings distributionRatings distribution 15,49179/100

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 78.5/100, and a trimmed mean (excluding outliers) of 78.5/100. The standard deviation for this track is 8.1.

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