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"Musical Queneau" Test #2 RESULTS 🎨 13 Votes, 3D Graphs & Two Different Rankings
➡️ *Voice-over and subtitles available* 🎨 *Who Won?* Votes, 3D Graphs & Rankings. In this video I present how each of 13 participant distributed 10 points across three different musical styles, how the votes are represented in a 3D space, and how the rankings change depending on the method used to calculate them.
This is not only a question of “who won”.
It is also an exploration of how different ways of looking at the same data can reveal different meanings:13 votes, 3D graphs, two different rankings… and one surprising question:
can the same votes tell different stories?
In Test #2 of the "Musical Queneau" project
https://youtu.be/wANEHF1T9XU
the same original AI Song was presented in three different musical styles:
A = R&B & Soul
B = Guitar Ballad
C = Brass Reggae
*Here you find the voting RESULTS*
*TIMESTAMPS*
0:00 - Intro
0:25 - 13 Votes in 3D Space
1:48 - The x + y + z = 10 Plane
1:58 - All Votes & Final Rankings: Absolute vs Relative
2:17 - Euclidean Distance from the Group Average
2:28 - From the Closest to the Group Average to the Most Individualistic
2:46 - Euclidean Distance Ranking
2:55 - Absolute & Relative Rankings after Two Tests
3:27 - Test #3 Preview
3:52 - 3 New Styles
4:11 - Call to Action
Each participant had 10 points to distribute across the three versions.
This means that every vote can be represented as a point in 3D space:
X axis = Style A
Y axis = Style B
Z axis = Style C
So a vote such as:
A=4, B=2, C=4
becomes a point in space:
X=4, Y=2, Z=4
Since every vote satisfies the equation:
A + B + C = 10
all valid vote points lie on the same plane, a triangular surface inside the 3D space.
🎯 THE AVERAGE POINT (x=3,44 y=3,05 z=3,51)
After plotting all individual votes, I calculate the general average of the votes
This average point represents the “center of gravity” of the whole set of preferences
It shows where the group, as a whole, is positioned in the 3D space
🥇 *_ABSOLUTE_* PREFERENCES RANKING
The Absolute Ranking shows the total strength of each style.
ThIs first ranking is based on the *average* score received by each style
In this “absolute preferences” ranking, the result is very compact:
Style C=3.51 comes first
Style A=3.44 comes second
Style B=3.05 comes third
*Style C* wins the absolute ranking, but the three styles remain very close.
🔁 *_RELATIVE_* PREFERENCES RANKING
The second ranking uses a different criterion
Instead of averaging all points, I assign 1 preference point to the style preferred by each participant.
If a participant gives the highest score to more than one style, the preference point is split equally.
For example:
- if A and C are tied as preferred styles, each receives 0.50
- if A, B and C are all tied, each receives 0.33
Using this method, the 13 preference points are distributed as follows:
- Style A = 6/13 = 46,154%
- Style C = 5/13 = 38,461%
- Style B = 2/13 = 15,385%
Here the ranking changes because *Style A* jumps to the first position.
*This is the most interesting shift* :
Style A does not win in *_absolute_* preferences, but it wins when we count *_relative_* preferences
Same votes: different method, results, and meaning
This is very close to the *spirit* of Raymond Queneau’s *Exercises in Style* : the form of representation changes what we see.
📐 EUCLIDEAN DISTANCE OF EACH VOTE FROM THE AVERAGE
The final analysis measures the Euclidean distance between each participant’s vote and the general average point
This is not a ranking of quality
It only shows how close (or far) each individual vote is from the average voting pattern
Some people vite like the average and others, instead, in a personal (isolated) way
Who voted *closest* to the group average?
Who moved *farthest* away from it?
So we can read the results not only as a ranking of styles, but also as a map of individual positions around the collective center.
🧠 GLOBAL INTERPRETATION
The RESULTS are a small map of different ways of listening.
C wins by Absolute score
A wins by Relative preference
The 3D graph shows that listening choices are not linear: they form a space of possibilities
The melody stays the same
The meaning does not
This video combines AI music, audience voting, music style comparison, 3D data visualization and a creative reinterpretation of Queneau’s “Exercises in Style”.
🎨 TEST #3
Finally, as shown in the video, I compare the results of Test #1 and Test #2 and introduce the next link (Test #3) in the chain:
Test #1 ➡️ Test #2 ➡️ "Test #3"
Musical Queneau continues with *Test #3*
My original AI Song: *The Memories of Youth*
Style A: Jazz Ballad
Style B: Celtic Pop
Style C: Classic Rock
*Online from June 10, 2026*
https://youtu.be/VcUfF-uoTIg
Which style will win next?
Listen ➡️ Compare ➡️ Vote
Musical Queneau continues...
"Musical Queneau"
https://www.youtube.com/playlist?list=PLnD0ArA_BGHv79KTLSxTKwD2_slefiZKT
My Best AI Songs
https://www.youtube.com/playlist?list=PLnD0ArA_BGHuQ14Mp86yX5RCcTp2hUs4H
#MusicalQueneau #AIMusic #SunoAI #MusicExperiment
Видео "Musical Queneau" Test #2 RESULTS 🎨 13 Votes, 3D Graphs & Two Different Rankings канала Mario Nicola Misino
This is not only a question of “who won”.
It is also an exploration of how different ways of looking at the same data can reveal different meanings:13 votes, 3D graphs, two different rankings… and one surprising question:
can the same votes tell different stories?
In Test #2 of the "Musical Queneau" project
https://youtu.be/wANEHF1T9XU
the same original AI Song was presented in three different musical styles:
A = R&B & Soul
B = Guitar Ballad
C = Brass Reggae
*Here you find the voting RESULTS*
*TIMESTAMPS*
0:00 - Intro
0:25 - 13 Votes in 3D Space
1:48 - The x + y + z = 10 Plane
1:58 - All Votes & Final Rankings: Absolute vs Relative
2:17 - Euclidean Distance from the Group Average
2:28 - From the Closest to the Group Average to the Most Individualistic
2:46 - Euclidean Distance Ranking
2:55 - Absolute & Relative Rankings after Two Tests
3:27 - Test #3 Preview
3:52 - 3 New Styles
4:11 - Call to Action
Each participant had 10 points to distribute across the three versions.
This means that every vote can be represented as a point in 3D space:
X axis = Style A
Y axis = Style B
Z axis = Style C
So a vote such as:
A=4, B=2, C=4
becomes a point in space:
X=4, Y=2, Z=4
Since every vote satisfies the equation:
A + B + C = 10
all valid vote points lie on the same plane, a triangular surface inside the 3D space.
🎯 THE AVERAGE POINT (x=3,44 y=3,05 z=3,51)
After plotting all individual votes, I calculate the general average of the votes
This average point represents the “center of gravity” of the whole set of preferences
It shows where the group, as a whole, is positioned in the 3D space
🥇 *_ABSOLUTE_* PREFERENCES RANKING
The Absolute Ranking shows the total strength of each style.
ThIs first ranking is based on the *average* score received by each style
In this “absolute preferences” ranking, the result is very compact:
Style C=3.51 comes first
Style A=3.44 comes second
Style B=3.05 comes third
*Style C* wins the absolute ranking, but the three styles remain very close.
🔁 *_RELATIVE_* PREFERENCES RANKING
The second ranking uses a different criterion
Instead of averaging all points, I assign 1 preference point to the style preferred by each participant.
If a participant gives the highest score to more than one style, the preference point is split equally.
For example:
- if A and C are tied as preferred styles, each receives 0.50
- if A, B and C are all tied, each receives 0.33
Using this method, the 13 preference points are distributed as follows:
- Style A = 6/13 = 46,154%
- Style C = 5/13 = 38,461%
- Style B = 2/13 = 15,385%
Here the ranking changes because *Style A* jumps to the first position.
*This is the most interesting shift* :
Style A does not win in *_absolute_* preferences, but it wins when we count *_relative_* preferences
Same votes: different method, results, and meaning
This is very close to the *spirit* of Raymond Queneau’s *Exercises in Style* : the form of representation changes what we see.
📐 EUCLIDEAN DISTANCE OF EACH VOTE FROM THE AVERAGE
The final analysis measures the Euclidean distance between each participant’s vote and the general average point
This is not a ranking of quality
It only shows how close (or far) each individual vote is from the average voting pattern
Some people vite like the average and others, instead, in a personal (isolated) way
Who voted *closest* to the group average?
Who moved *farthest* away from it?
So we can read the results not only as a ranking of styles, but also as a map of individual positions around the collective center.
🧠 GLOBAL INTERPRETATION
The RESULTS are a small map of different ways of listening.
C wins by Absolute score
A wins by Relative preference
The 3D graph shows that listening choices are not linear: they form a space of possibilities
The melody stays the same
The meaning does not
This video combines AI music, audience voting, music style comparison, 3D data visualization and a creative reinterpretation of Queneau’s “Exercises in Style”.
🎨 TEST #3
Finally, as shown in the video, I compare the results of Test #1 and Test #2 and introduce the next link (Test #3) in the chain:
Test #1 ➡️ Test #2 ➡️ "Test #3"
Musical Queneau continues with *Test #3*
My original AI Song: *The Memories of Youth*
Style A: Jazz Ballad
Style B: Celtic Pop
Style C: Classic Rock
*Online from June 10, 2026*
https://youtu.be/VcUfF-uoTIg
Which style will win next?
Listen ➡️ Compare ➡️ Vote
Musical Queneau continues...
"Musical Queneau"
https://www.youtube.com/playlist?list=PLnD0ArA_BGHv79KTLSxTKwD2_slefiZKT
My Best AI Songs
https://www.youtube.com/playlist?list=PLnD0ArA_BGHuQ14Mp86yX5RCcTp2hUs4H
#MusicalQueneau #AIMusic #SunoAI #MusicExperiment
Видео "Musical Queneau" Test #2 RESULTS 🎨 13 Votes, 3D Graphs & Two Different Rankings канала Mario Nicola Misino
mario nicola misino mario misino Musical Queneau music experiment AI music experiment generative AI music same song different styles one song different styles R&B Soul Guitar Ballad Brass Reggae music challenge musical style comparison Raymond Queneau Exercises in Style Queneau music 3D graph 3D visualization music analytics absolute ranking relative ranking Euclidean distance group average AI song AI music video YouTube music experiment suno
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5 июня 2026 г. 20:30:32
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