I'm Housin' (track)
by Rage Against The Machine
I'm Housin' appears on the following album(s) by Rage Against The Machine:
- Live At The Grand Olympic Auditorium (track #9) (2003)
- Renegades (track #6) (this album) (2000)
Condition: Like New
Condition: Very Good
Condition: Like New
Listen to I'm Housin' on YouTube
I'm Housin' 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 26 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| 4 days ago | kinginsomniac12 | 5,804 | 100/100 | |
| 09/12/2024 18:50 | araidernomore | 4,639 | 78/100 | |
| 05/07/2024 22:57 | phmusic | 64,717 | 100/100 | |
| 09/07/2023 00:12 | MaxStorm98 | 51,528 | 99/100 | |
| 10/13/2022 20:48 | mrmcrook | 12,350 | 78/100 |
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 8% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 79.1/100, a mean average of 77.5/100, and a trimmed mean (excluding outliers) of 80.4/100. The standard deviation for this track is 19.3.
I'm Housin' comments
Be the first to add a comment for this track - add your comment!



