L.A. Blues (track)
by The Stooges
L.A. Blues appears on the following album(s) by The Stooges:
- Fun House (track #7) (this album) (1970)
- Live At Goose Lake: August 8th, 1970 (track #8) (2020)
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Listen to L.A. Blues on YouTube
L.A. Blues 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.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 12/06/2025 04:33 | plasmicmist | 7,423 | 90/100 |
| ! | 12/05/2025 14:21 | Exist-en-ciel | 53,461 | 71/100 |
| ! | 11/26/2025 03:18 |  imacgill | 29,979 | 81/100 |
| ! | 10/21/2025 03:50 | jtc91 | 13,888 | 82/100 |
| ! | 06/24/2025 05:59 | LammyTS1 | 11,812 | 56/100 |
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 75.6/100, a mean average of 74.2/100, and a trimmed mean (excluding outliers) of 75.5/100. The standard deviation for this track is 17.5.
L.A. Blues comments
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An underwhelming epilogue to an otherwise perfect album.
I cannot seem to underrate this track enoughly.
I don't get the hate. I think it's the perfect ending to an album like this.
Very underrated. The most psychedelic song on this album; a perfect climax to all the chaos
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