Dooo It! (track)
by Miley Cyrus
Year: 2015
From the album Miley Cyrus & Her Dead Petz (track #1)
Listen on Spotify SPOTIFY
Dooo It! appears on the following album(s) by Miley Cyrus:
- Miley Cyrus & Her Dead Petz (track #1) (this album) (2015)
Listen & Collect
Complete your collection or upgrade your listening experience.
Listen to Dooo It! on YouTube
Dooo It! 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 20 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 07/04/2026 20:09 | phmusic | 71,617 | 100/100 |
| ! | 09/30/2025 02:33 | 12,981 | 85/100 | |
| ! | 08/08/2025 19:30 | 31,383 | 81/100 | |
| ! | 03/25/2024 09:01 | 75,712 | 51/100 | |
| ! | 03/20/2023 15:50 | 44,042 | 89/100 |
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 65.3/100, a mean average of 60.0/100, and a trimmed mean (excluding outliers) of 60.0/100. The standard deviation for this track is 27.5.
Dooo It! favourites
Showing all 2 members who have added this track as a favourite
Dooo It! comments
Be the first to add a comment for this track - add your comment!