Intro (track)
by Limp Bizkit
Year: 1997
From the album Three Dollar Bill, Yall$ (track #1)
Listen on Spotify SPOTIFY
Intro appears on the following album(s) by Limp Bizkit:
- Significant Other (track #1) (1999)
- Three Dollar Bill, Yall$ (track #1) (this album) (1997)
- Chocolate Starfish And The Hot Dog Flavored Water (track #1) (2000)
Listen & Collect
Complete your collection or upgrade your listening experience.
Listen to Intro on YouTube
Intro 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 14 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 05/28/2026 15:05 | Exist-en-ciel | 169,530 | 71/100 |
| ! | 11/27/2025 02:56 | stareaterogni0n | 6,156 | 70/100 |
| ! | 03/07/2025 19:18 | EntDoesStuff | 1,936 | 87/100 |
| ! | 09/13/2024 06:14 |  DommeDamian | 76,909 | 51/100 |
| ! | 04/25/2024 01:19 | phmusic | 73,423 | 100/100 |
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 56.6/100, a mean average of 42.9/100, and a trimmed mean (excluding outliers) of 42.9/100. The standard deviation for this track is 29.7.
Intro comments
Be the first to add a comment for this track - add your comment!
Your feedback for Intro
