I Can See (track) by Mac Miller

I Can See by Mac Miller
Year: 2020
From the album Circles (track #5)
Average Rating: 
76/100 (from 66 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history

I Can See appears on the following album(s) by Mac Miller:


Upcoming concerts

Sep
22
Fri
20:00
Jake Miller w/ Hariz
Skully's Music Diner, Columbus, United States. United States
Tickets from $20.00 (Ticketmaster) Get tickets
 
Sep
22
Fri
20:00
Steve Miller Band
Greek Theatre-U.C. Berkeley, Berkeley, United States. United States
Tickets from $49.50 (Ticketmaster) Get tickets
 
Sep
23
Sat
20:00
Steve Miller Band
The Venue at Thunder Valley Casino , Lincoln, United States. United States
Tickets from $79.95 (Ticketmaster) Get tickets
 
Discover more upcoming concerts

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I Can See ratings

Average Rating: 
76/100 (from 66 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 66 ratings for this track.

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RatingDate updatedMemberTrack ratingsAvg. track rating
 
95/100
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06/17/2023 07:49 srogers900  Ratings distributionRatings distribution 11,60687/100
 
60/100
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12/11/2022 15:17 DommeDamian  Ratings distributionRatings distribution 50,50952/100
 
75/100
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09/11/2022 01:05 martintho  Ratings distributionRatings distribution 65,86574/100
 
70/100
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08/19/2022 11:38 Exist-en-ciel  Ratings distributionRatings distribution 8,91076/100
 
85/100
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07/04/2022 09:22 Fertu  Ratings distributionRatings distribution 36,22182/100

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 76.5/100, a mean average of 76.5/100, and a trimmed mean (excluding outliers) of 76.5/100. The standard deviation for this track is 11.2.

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