We Can Get Together (track)
by Flowers (AU)

We Can Get Together by Flowers (AU)
Year: 1980
From the album Icehouse (track #2)
Average Rating: 
77/100 (from 15 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history

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IcehouseWe Can Get TogetherFatman

We Can Get Together appears on the following album(s) by Flowers (AU):


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KXT 91.7 Presents Durand Jones and the Indications - Flowers Tour 2025
House of Blues Dallas , Dallas, United States. United States
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22
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Flowers For Dorian w/ Guests
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Dec
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90's Night at the Blind Pig, A Blurry Pink as WEEZER, Flowers In Winter as EVERCLEAR, Killer Is Me as ALICE IN CHAINS, Theatre Girl as OASIS
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We Can Get Together ratings

Average Rating: 
77/100 (from 15 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.
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RatingDate updatedMemberTrack ratingsAvg. track rating
 
80/100
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03/10/2025 11:46 mostlymor  Ratings distributionRatings distribution 85,94280/100
 
80/100
 Report rating
01/05/2023 02:26 Vaggelis  Ratings distributionRatings distribution 1,17590/100
 
65/100
 Report rating
05/26/2021 15:50 paladisiac  Ratings distributionRatings distribution 82,37064/100
 
80/100
 Report rating
03/25/2021 11:09 Brad1770  Ratings distributionRatings distribution 19,99164/100
 
85/100
 Report rating
09/18/2020 04:20 mrmcrook  Ratings distributionRatings distribution 10,55479/100

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 76.9/100, a mean average of 77.3/100, and a trimmed mean (excluding outliers) of 77.3/100. The standard deviation for this track is 8.7.

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