Dum Dum Diddle (track)
by ABBA
Dum Dum Diddle appears on the following album(s) by ABBA:
- Arrival (track #4) (this album) (1976)
- The Studio Albums (track #39) (compilation) (2014)
- The Albums (track #38) (compilation) (2008)
Listen & Collect
Complete your collection or upgrade your listening experience.
Listen to Dum Dum Diddle on YouTube
Dum Dum Diddle 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 86 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 05/26/2026 15:44 | Johnnyo | 44,945 | 80/100 |
| ! | 02/14/2026 15:08 | markl73 | 7,087 | 78/100 |
| ! | 12/26/2025 17:18 | Exist-en-ciel | 168,060 | 71/100 |
| ! | 12/15/2025 15:46 | 68,791 | 84/100 | |
| ! | 08/14/2025 15:49 | 31,383 | 81/100 |
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 72.5/100, a mean average of 72.2/100, and a trimmed mean (excluding outliers) of 72.2/100. The standard deviation for this track is 15.2.
Dum Dum Diddle favourites
Showing all 2 members who have added this track as a favourite
Dum Dum Diddle comments
Be the first to add a comment for this track - add your comment!
