Zawinul / Lava (track) by Eno
Year: 1975
From the album Another Green World (track #12)


Zawinul / Lava appears on the following album(s) by Eno:
- Another Green World (track #12) (this album) (1975)
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Zawinul / Lava ratings

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.
Rating | Date updated | Member | Track ratings | Avg. track rating |
---|---|---|---|---|
100/100 ![]() | 05/01/2025 05:45 | ![]() | ![]() | 87/100 |
85/100 ![]() | 02/26/2025 11:14 | ![]() | ![]() | 80/100 |
90/100 ![]() | 02/13/2025 06:30 | brent13 | ![]() | 85/100 |
45/100 ![]() | 02/12/2025 13:32 | AndyLish79 | ![]() | 84/100 |
75/100 ![]() | 02/10/2025 00:12 | ![]() | ![]() | 76/100 |
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 2% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 84.1/100, a mean average of 83.9/100, and a trimmed mean (excluding outliers) of 84.7/100. The standard deviation for this track is 9.9.
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I get the feeling that Radiohead took influence from the basic theme of this song for Hunting Bears. Maybe I'm looking into it too much though.

Feels like if I was in an aeroplane

I only noticed today that the second word in the title of this song is "lava." It just got that much better. Predicts Ambient 1: Music for Airports.
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