Macy's Day Parade (track)
by Green Day
Macy's Day Parade appears on the following album(s) by Green Day:
- Warning (track #12) (this album) (2000)
- International Superhits! (track #21) (compilation) (2001)
Upcoming concerts
Listen to Macy's Day Parade on YouTube
Macy's Day Parade 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.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 11/01/2025 19:42 | kinginsomniac12 | 5,498 | 100/100 |
| ! | 07/20/2025 08:36 | Musicmister9988 | 1,149 | 98/100 |
| ! | 06/27/2025 23:46 | ShenBapiro | 6,173 | 77/100 |
| ! | 05/06/2025 15:19 | AndyLish79 | 12,774 | 84/100 |
| ! | 02/12/2025 18:26 | Sonoffatboy | 3,906 | 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 is rated in the top 2% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 83.3/100, a mean average of 82.4/100, and a trimmed mean (excluding outliers) of 84.2/100. The standard deviation for this track is 19.4.
Macy's Day Parade favourites
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Macy's Day Parade comments
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A fantastic way to close the album.
HoldenM 07/15/2015 04:49 | #145782
Seriously great track. Amazing closer especially.
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