Too Good (track) by Arlo Parks

Too Good by Arlo Parks
Year: 2021
From the album Collapsed In Sunbeams (track #3)
Average Rating: 
77/100 (from 38 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history

Too Good appears on the following album(s) by Arlo Parks:


Product Details
Availability

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Collapsed In Sunbeams by Arlo Parks
Condition: New


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Collapsed In Sunbeams by Arlo Parks
Condition: Brand New


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Upcoming concerts

Sep
10
Tue
20:00
Mitski w/ Arlo Parks
Smart Financial Centre at Sugar Lan, Sugar Land, United States. United States
Tickets from Ticketmaster Get tickets
 
Sep
13
Fri
20:00
Mitski w/ Arlo Parks
Texas Trust CU Theatre, Grand Prairie, United States. United States
Tickets from Ticketmaster Get tickets
 
Sep
14
Sat
20:00
Mitski w/ Arlo Parks
Texas Trust CU Theatre, Grand Prairie, United States. United States
Tickets from Ticketmaster Get tickets
 
Discover more upcoming concerts

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Too Good ratings

Average Rating: 
77/100 (from 38 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 38 ratings for this track.

Sort ratings
RatingDate updatedMemberTrack ratingsAvg. track rating
 
55/100
 Report rating
02/04/2024 11:57 Foxforce5  Ratings distributionRatings distribution 4,25277/100
 
80/100
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10/13/2023 19:46 matterhornrider  Ratings distributionRatings distribution 19,25686/100
 
90/100
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07/10/2023 01:56 plasmicmist  Ratings distributionRatings distribution 4,21189/100
 
55/100
 Report rating
11/16/2022 15:11 DommeDamian  Ratings distributionRatings distribution 57,74052/100
 
70/100
 Report rating
08/23/2022 13:50 Exist-en-ciel  Ratings distributionRatings distribution 10,36976/100

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 76.8/100, a mean average of 77.0/100, and a trimmed mean (excluding outliers) of 77.0/100. The standard deviation for this track is 12.0.

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