Learning How To Love You (track) by John Hiatt

Learning How To Love You by John Hiatt
Year: 1987
From the album Bring The Family (track #10)
Average Rating: 
77/100 (from 11 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history

Learning How To Love You appears on the following album(s) by John Hiatt:


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May
05
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SOLD OUT - John Hiatt (Night One) w/ Nathan Graham
SPACE, Evanston, United States. United States
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May
06
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SOLD OUT - John Hiatt (Night Two) w/ Jared Rabin
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May
07
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SOLD OUT: John Hiatt (Night Three) w/ Sara-Jean Stevens
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Learning How To Love You ratings

Average Rating: 
77/100 (from 11 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 11 ratings for this track.

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100/100
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12/27/2023 22:05 MaxStorm98  Ratings distributionRatings distribution 47,37299/100
 
70/100
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11/14/2023 00:03 DaaN  Ratings distributionRatings distribution 4,92575/100
 
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08/09/2022 03:01 matterhornrider  Ratings distributionRatings distribution 19,22386/100
 
75/100
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07/15/2022 08:16 Pluto11  Ratings distributionRatings distribution 22,39176/100
 
80/100
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12/02/2021 08:12 greatson  Ratings distributionRatings distribution 12,61571/100

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 77.3/100, a mean average of 78.2/100, and a trimmed mean (excluding outliers) of 78.2/100. The standard deviation for this track is 9.1.

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