The Biggest Lie (track)
by Elliott Smith
Year: 1995
From the album Elliott Smith (track #12)
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The Biggest Lie appears on the following album(s) by Elliott Smith:
- Elliott Smith (track #12) (this album) (1995)
- An Introduction to... Elliott Smith (track #4) (compilation) (2010)
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The Biggest Lie ratings
Average Rating = (n ÷ (n + m)) × av + (m ÷ (n + m)) × AVwhere:
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.
Showing latest 5 ratings for this track. | Show all 122 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 06/30/2026 12:22 | stareaterogni0n | 6,014 | 70/100 |
| ! | 03/10/2026 07:11 | Exist-en-ciel | 168,542 | 71/100 |
| ! | 12/28/2025 20:31 |  AAL2014 | 40,491 | 76/100 |
| ! | 10/04/2025 19:48 | Rayzer6 | 19,418 | 89/100 |
| ! | 07/13/2025 22:04 |  Montpejo | 7,935 | 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 1% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 87.3/100, a mean average of 87.5/100, and a trimmed mean (excluding outliers) of 88.3/100. The standard deviation for this track is 10.6.
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cnismi 01/16/2023 13:37 | #292911
One of the most touching and haunting songs about suicide
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