Be Above It (track) by Tame Impala
Be Above It appears on the following album(s) by Tame Impala:
- Lonerism (track #1) (this album) (2012)
- Live Versions (track #7) (2014)
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Listen to Be Above It on YouTube
Be Above It ratings
![Ratings distribution](https://img.besteveralbums.com/img/chart_bar.png)
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 |
---|---|---|---|---|
90/100 ![]() | 06/23/2024 13:43 | ChlebHead | ![]() | 86/100 |
70/100 ![]() | 04/03/2024 14:13 | Nykeaula | ![]() | 78/100 |
90/100 ![]() | 02/08/2024 14:11 | BillyA | ![]() | 89/100 |
75/100 ![]() | 01/02/2024 21:06 | HPumphrey | ![]() | 84/100 |
85/100 ![]() | 12/03/2023 10:53 | ItNrok | ![]() | 89/100 |
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 85.1/100, a mean average of 84.5/100, and a trimmed mean (excluding outliers) of 85.3/100. The standard deviation for this track is 11.6.
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Be Above It favourites
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Be Above It comments
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This is an amazing intro - the infectious and simplistic drum beat with the repetitive backing lyric are superb
The intro makes me a bit nervous
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cool intro
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