Fatman (track) by Flowers (AU)

Fatman by Flowers (AU)
Year: 1980
From the album Icehouse (track #3)
Average Rating: 
72/100 (from 13 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history
Icehouse (11 tracks) « Previous track (#2) This track (#3) Next track (#4) »
We Can Get TogetherFatmanSister

Fatman appears on the following album(s) by Flowers (AU):


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Condition: Very Good


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Upcoming concerts

Dec
28
Sat
19:00
Professor Caffeine & the Insecurities, Ohm Foam, The Dead Flowers
Middle East - Upstairs, Cambridge, United States. United States
Tickets from $14.00 (Ticketmaster) Get tickets
 
Feb
14
Fri
20:00
You Don't Bring Me Flowers: A Tribute to Sinatra, Diamond & Streisand
Flagstar at Westbury Music Fair, Westbury, United States. United States
Tickets from $29.50 (Ticketmaster) Get tickets
 
Feb
21
Fri
20:00
Samantha Fish: Fading Flowers Tour
L'Auberge Casino & Hotel Baton Roug, Baton Rouge, United States. United States
Tickets from $25.00 (Ticketmaster) Get tickets
 
Discover more upcoming concerts

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Fatman ratings

Average Rating: 
72/100 (from 13 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
 
55/100
 Report rating
05/26/2021 15:55 paladisiac  Ratings distributionRatings distribution 80,74964/100
 
80/100
 Report rating
03/25/2021 11:09 Brad1770  Ratings distributionRatings distribution 20,00164/100
 
80/100
 Report rating
09/18/2020 04:20 mrmcrook  Ratings distributionRatings distribution 8,46778/100
 
75/100
 Report rating
05/05/2020 16:35 HotZappsBoogaloo  Ratings distributionRatings distribution 8,48682/100
 
75/100
 Report rating
11/03/2019 08:39 mikepen  Ratings distributionRatings distribution 2,59881/100

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 72.4/100, a mean average of 69.2/100, and a trimmed mean (excluding outliers) of 69.2/100. The standard deviation for this track is 14.3.

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