100,000 Years (track)
by Kiss
100,000 Years appears on the following album(s) by Kiss:
- Alive! (track #11) (this album) (1975)
- Kiss (track #9) (1974)
- Double Platinum (track #12) (compilation) (1978)
- Alive: The Millennium Concert (track #13) (2006)
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100,000 Years 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 33 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 05/09/2026 18:30 | CjHubb117 | 1,309 | 97/100 |
| ! | 12/28/2025 09:56 | Exist-en-ciel | 168,615 | 71/100 |
| ! | 10/12/2025 17:33 | markl73 | 7,108 | 78/100 |
| ! | 02/28/2025 16:20 | habibi333 | 2,570 | 64/100 |
| ! | 07/21/2024 16:22 |  VictorVale | 44,110 | 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 73.0/100, a mean average of 72.1/100, and a trimmed mean (excluding outliers) of 72.1/100. The standard deviation for this track is 25.7.
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100,000 Years comments
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Jasonconfused 12/26/2012 22:23 | #59009
Peter Criss is one of the best entertainers on drum. He may not have been the most technically talented, but he was the best fit for that band.
"How many people here, like to get high!?"
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