Just Like Anyone (track)
by Aimee Mann
Year: 2000
From the album Bachelor No. 2, Or The Last Remains Of The Dodo (track #10)
Listen on Spotify SPOTIFY
Just Like Anyone appears on the following album(s) by Aimee Mann:
- Bachelor No. 2, Or The Last Remains Of The Dodo (track #10) (this album) (2000)
Listen & Collect
Complete your collection or upgrade your listening experience.
Listen to Just Like Anyone on YouTube
Just Like Anyone 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 19 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 06/22/2026 13:39 | Exist-en-ciel | 166,254 | 71/100 |
| ! | 08/06/2025 18:37 | 31,383 | 81/100 | |
| ! | 10/26/2024 12:24 | daCritic | 37,836 | 75/100 |
| ! | 04/23/2024 02:14 | 32,820 | 81/100 | |
| ! | 11/03/2021 14:19 | 29,889 | 64/100 |
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 75.0/100, a mean average of 74.5/100, and a trimmed mean (excluding outliers) of 74.5/100. The standard deviation for this track is 11.9.
Just Like Anyone favourites
Just Like Anyone comments
Be the first to add a comment for this track - add your comment!
