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Praise to the Algorithm cover art
Preview

Tempo(?)
Tempo of the track in beats per minute. If the track has multiple BPM's this won't be reflected as only one BPM figure will show.
160 BPM
Key(?)
Key of the track. Useful if you are trying to find songs this will work well with for DJing, singing a cover or trying to find the notes which make up the song.
A Maj
Loudness(?)
Average loudness of the track in decibels (dB). Values typically are between -60 and 0 decibels. Tracks are rarely above -4 db and usually are around -4 to -9 db.
-5db
Time signature(?)
How many beats there are per measure/bar.
4/4

Popularity
A measure on how popular the track is on Spotify. This metric is calculated mostly on how many plays have been recently, so a very popular song from the past will have a lower popularity score than a recent track with many plays. If you click on the 6% underlined to the right, it will take you to Musicstax Metrics which tracks popularity over time.
Energy
A measure on how intense a track sounds, through measuring the dynamic range, loudness, timbre, onset rate and general entropy. 0% indicates low energy, 100% indicates high energy.
84%
Danceability
A measure on how suitable a track could be for dancing to, through measuring tempo, rhythm, stability, beat strength and overall regularity. Tracks near 0% are least danceable, whereas tracks near 100% are more suited for dancing to.
31%
Positiveness
A measure how positive, happy or cheerful track is. Values near 0% suggest a sad or angry track, where values near 100% suggest a happy and cheerful track.
65%
Speechiness
A measure on the presence of spoken words. Values below 33% suggest it is just music, values between 33% and 66% suggest both music and speech (such as rap), values above 66% suggest there is only spoken word (such as a podcast).
21%
Liveness
A measure on how likely it is the track has been recorded in front of a live audience instead of in a studio. This is measured by detecting the presence of an audience in the track. Values over 80% suggest that the track was most definitely performed in front of a live audience.
10%
Acousticness
A measure on how likely the track is acoustic. The higher the number, the more likely it is there is no electronic instruments and that the instruments in the track are created through acoustic instruments.
0%
Instrumentalness
A measure on how likely the track does not contain any vocals. Values over 50% indicate an instrumental track, values near 0% indicate there are lyrics.
0%




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Praise to the Algorithm is a song by Hans Gruber and the Die Hards, released on 2022-05-03. It is track number 16 in the album With A Vengeance. Praise to the Algorithm has a BPM/tempo of 160 beats per minute, is in the key of A Maj and has a duration of 2 minutes, 30 seconds.

Praise to the Algorithm is currently not very popular on Spotify, being rated in the bottom 10% of songs popular on Spotify right now, and it has been released more than two weeks ago meaning it is likely the tracks popularity score may remain fairly stable, is extremely energetic and most likely the sort of song you would hear in a club and is somewhat easy to dance to.

Praise to the Algorithm info

Name
Praise to the Algorithm
Release Date
3rd May 2022
ISRC
QZES72231779
Key
A Maj
Tempo
160
Loudness (db)
-5db
Time signature
4/4
Length
02:30
Song Number
16 of 16
Explicit
No