It's My Own Fault (track)
by John Lee Hooker
Year: 1960
From the album House Of The Blues (track #4)
Listen on Spotify
It's My Own Fault appears on the following album(s) by John Lee Hooker:
- House Of The Blues (track #4) (this album) (1960)
- Mad Man Blues (track #9) (compilation) (1973)
- 20th Century Masters: The Millennium Collection - The Best Of John Lee Hooker (track #10) (compilation) (1999)
- Chess Masters...John Lee Hooker (track #4) (compilation) (1982)
Upcoming concerts
Listen to It's My Own Fault on YouTube
It's My Own Fault 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 |
|---|---|---|---|---|
| ! | 08/06/2024 17:40 | Johnnyo | 41,574 | 80/100 |
| ! | 11/12/2022 09:42 | LosWochos | 308,517 | 80/100 |
| ! | 07/02/2022 12:16 | daCritic | 33,652 | 76/100 |
| ! | 04/02/2020 20:11 | NSPE | 4,552 | 79/100 |
| ! | 10/28/2019 20:32 |  dihansse | 66,542 | 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 has a Bayesian average rating of 77.5/100, a mean average of 78.6/100, and a trimmed mean (excluding outliers) of 78.6/100. The standard deviation for this track is 8.8.
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