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Artist report · generated from the live index

Malcolm Todd

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

50 / 50songs 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
Good Job Malcolm
95%
02
Cute Shirt (Interlude)
94%
03
Earrings
94%
04
So long
94%
05
I'll Come Back For You
92%
06
Breathe
92%
07
4Me 4Me
92%
08
Doll
91%
09
Mr. Incorrect
87%
10
You Owe Me
86%
11
Sweet Boy
85%
12
Starstudded
85%

Hardest to name

50
Lovebird
64%
49
What's Up
65%
48
Out of Bounds
69%
47
Sore Throat
69%
46
Art House
70%

How fast people finish

A run is ten rounds on Malcolm Todd. This is how quickly players get all ten right.

18.8sfastest verified 10/10
39.3stypical 10/10 run
35%of 2,645 runs were 10/10
60s
Under 60 seconds
765 of 929 perfect runs
82%
50s
Under 50 seconds
664 of 929 perfect runs
71%
40s
Under 40 seconds
475 of 929 perfect runs
51%
30s
Under 30 seconds
253 of 929 perfect runs
27%
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. 111 runs on this artist were excluded by that floor. Nerve on the last round. 91% of players who had the first nine right also got the tenth. The first round costs you 401ms 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

So long — 70% of this artist's own players name it correctly against 44% predicted by its streaming popularity (27 points above, n=732). Good Job Malcolm — 56% of this artist's own players name it correctly against 40% predicted by its streaming popularity (16 points above, n=718). On My Shoulder — 21% of this artist's own players name it correctly against 45% predicted by its streaming popularity (24 points below, n=699). Pillow — 25% of this artist's own players name it correctly against 44% predicted by its streaming popularity (19 points below, n=698).

Markets

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

Not published

No market clears the floor for this artist yet. A country is published only with enough distinct players behind it that one small community cannot move the number.

Taste neighbours

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

01
Steve Lacy
shared audience
0.70
02
Dominic Fike
shared audience
0.63
03
Phoneboy
shared audience
0.61
04
Hotel Ugly
shared audience
0.57
05
Nafeesisboujee
shared audience
0.56
06
Faye Webster
shared audience
0.52

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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