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Artist report · generated from the live index

Justin Bieber

Every measured song, ranked by the share of Justin Bieber's own players who named it correctly — never compared against a different artist's catalogue.

90 / 100songs report-ready (n≥200)
200-500players in window
2026-08-22 → 2026-10-04measurement window

Catalogue recognition

Share of this artist's own players who named each song correctly. Thin marks show the 95% interval.

01
Baby (feat. Ludacris)
99%
02
Never Say Never (feat. Jaden Smith)
99%
03
That Should Be Me
97%
04
Sorry
97%
05
Beauty and a Beat (feat. Nicki Minaj)
96%
06
Love Me
96%
07
Yummy
95%
08
Let Me Love You (feat. Justin Bieber)
95%
09
STAY
95%
10
Peaches (feat. Daniel Caesar & GIVĒON)
95%
11
Favorite Girl
94%
12
MOTHER IN YOU
92%

Hardest to name

90
NEED IT
49%
89
I'm the One (feat. Justin Bieber, Quavo, Chance the Rapper & Lil Wayne)
49%
88
SWAG
50%
87
405
51%
86
WITCHYA
54%

How fast people finish

A run is ten rounds on Justin Bieber. This is how quickly players get all ten right.

15.7sfastest verified 10/10
46.5stypical 10/10 run
20%of 1,867 runs were 10/10
60s
Under 60 seconds
270 of 379 perfect runs
71%
50s
Under 50 seconds
221 of 379 perfect runs
58%
40s
Under 40 seconds
141 of 379 perfect runs
37%
30s
Under 30 seconds
63 of 379 perfect runs
17%
How the clock works

The clock is the ten answer times added together, each measured from the start of its round with clip loading included — not wall-clock, because pauses between rounds are not measured. A run counts only if all ten rounds were answered, none was skipped, no single answer came in under a second and the whole run took at least fifteen. 63 runs on this artist were excluded by that floor. Nerve on the last round. 90% of players who had the first nine right also got the tenth. The first round costs you 929ms against the median of rounds two to ten — nobody is warm on the opening clip.

Recognition vs streams

What streaming popularity predicts, against what players actually did.

Evidence

Never Say Never (feat. Jaden Smith) — 71% of this artist's own players name it correctly against 54% predicted by its streaming popularity (17 points above, n=210). STAY — 67% of this artist's own players name it correctly against 56% predicted by its streaming popularity (11 points above, n=264). Off My Face — 15% of this artist's own players name it correctly against 50% predicted by its streaming popularity (34 points below, n=213). LOVE SONG — 14% of this artist's own players name it correctly against 47% predicted by its streaming popularity (32 points below, n=208).

Markets

Where this artist is played more than their global share predicts.

01
Indonesia
50-200 players
3.2×
02
India
50-200 players
1.8×
03
Argentina
50-200 players
1.8×
04
Canada
under 50 players
1.1×
05
Spain
200-500 players
1.0×
06
Chile
under 50 players
1.0×

Taste neighbours

Artists whose players overlap most, learned from who plays whom — useful for support slots and playlist seeding.

01
Justin Bieber
shared audience
0.81
02
Sajjan Raj Vaidya
shared audience
0.50
03
Jessie Lyngdoh
shared audience
0.43
04
Zubeen Garg
shared audience
0.39
05
Shawn Mendes
shared audience
0.39
06
Selena Gomez
shared audience
0.37

What this is, and is not

Who is measured. Muzify players who chose this artist in the app — mostly existing fans, not a random public sample. Read it as "how well do their own listeners know the catalogue", never as national awareness.

What "named it" means. One clip, four options, a five-second clock. Chance alone is 25%.

Floors. A song appears only above 200 answers; a market only above 25,000 plays. Everything else is withheld rather than shown thin.

Player counts are bands, never exact figures.

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