Return To Oz (track)
by Scissor Sisters

Return To Oz by Scissor Sisters
Year: 2004
From the album Scissor Sisters (track #11)
Average Rating: 
81/100 (from 26 votes)
  Ratings distributionRatings distribution   Average rating historyAverage rating history

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It Can't Come Quickly EnoughReturn To Oz-

Return To Oz appears on the following album(s) by Scissor Sisters:


Product Details
Availability

eBay
eBay
Scissor Sisters CD Album - Laura, Mary, Return to Oz, Filthy . Gorgeous
Condition: Good


eBay
eBay
SCISSOR SISTERS Electro Pop Rock Disco CD Laura Filthy/Gorgeous Return To Oz NM
Condition: Very Good


eBay
eBay
Scissor Sisters (Deluxe Edition) by Scissor Sisters [VINYL]
Condition: New


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Upcoming concerts

Nov
19
Wed
20:30
AMBER MARTIN in "BATHHOUSE BETTE" (Member of Scissor Sisters, beloved NYC Cabaret star)
Catalina Bar & Grill, Hollywood, United States. United States
Tickets from Ticketmaster Get tickets
 
Discover more upcoming concerts

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Return To Oz ratings

Average Rating: 
81/100 (from 26 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 by
RatingDate updatedMemberTrack ratingsAvg. track rating
 
70/100
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09/04/2025 08:36 markl73  Ratings distributionRatings distribution 5,56279/100
 
80/100
 Report rating
05/04/2025 10:10 PAPPITUFO  Ratings distributionRatings distribution 2,78275/100
 
85/100
 Report rating
12/20/2024 17:36 alexandermause  Ratings distributionRatings distribution 13,90585/100
 
80/100
 Report rating
08/21/2024 01:47 imacgill  Ratings distributionRatings distribution 29,37581/100
 
90/100
 Report rating
01/31/2024 09:12 Fertu  Ratings distributionRatings distribution 40,98282/100

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 is rated in the top 5% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 80.9/100, a mean average of 82.7/100, and a trimmed mean (excluding outliers) of 82.7/100. The standard deviation for this track is 10.6.

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