MindLens·Lab
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Clip detail

La La Land

Readers12
Emotions chosen8 of 15
Entropy2.69max ≈ 3.91
Krippendorff α-0.09
Complexitymoderate

Curated window: 0:561:56 (60s). Plays the same window each time — replays return to 0:56.

Plays only the curated 60-second window. · Embedded via the YouTube Player API · © original creators.

12READERSHappy / amusedProudMoved / touchedAffectionate / tenderSurprisedDisappointed3Sad / sorry4Angry / frustrated8Contempt / scorn1Anxious / nervous3Scared / afraid2Embarrassed / awkward2Confused1Neutral / calm

Each star is one emotion. Star size and brightness scale with how many readers chose it. The most-picked reading glows in peach; the AI's reading in mint.

Most-picked
AI's reading
Other readers

Full distribution

How readers split across the emotions

  • Angry / frustrated
    8 · 67% (4p)
  • Sad / sorry
    4 · 33% (1p)
  • Disappointed
    3 · 25% (0p)
  • Anxious / nervous
    3 · 25% (1p)
  • Scared / afraid
    2 · 17% (0p)
  • Embarrassed / awkward
    2 · 17% (1p)
  • Contempt / scorn
    1 · 8% (0p)
  • Confused
    1 · 8% (0p)

Modal reading (by mentions) · AI's readingSolid bar segment = readers who picked this as primary. Lighter extension = readers who tagged it as part of a Mixed reading.

AI's reading

What one AI saw on this clip

divergent · 25% of humans agreed

PrimaryDisappointed

SecondarySad / sorry, Anxious / nervous, Angry / frustrated

CuesWhat they said, Tone of voice, Facial expression

Why

Her speech suggests profound disappointment as she recounts repeated audition failures and concludes her dream is a "pipe dream." This interpretation is supported by her cracking, emotional voice and tearful facial expression, which convey a sense of hopelessness about her aspirations.

AI's own caveat

Her state borders on despair, so a primary reading of sadness would be equally valid, as the two emotions are deeply intertwined in this context.

The AI's reading is one interpretation among many. We expose it as a single point of comparison against the human spread — not as an answer key. The rationale + caveat above are the AI's own words, reviewed and approved by a human admin before publishing.

Which signals readers used

Cue distribution

Multi-select per response — totals can exceed the reader count.

  • Tone of voice
    11 · 92%
  • What they said
    10 · 83%
  • Facial expression
    8 · 67%
  • Body language / posture
    6 · 50%
  • The situation
    4 · 33%
  • How others reacted
    2 · 17%

Where the readers were

By country

  • SG6
  • US2
  • KH1
  • IN1
  • HK1
  • KR1

The finding

On this clip, 67% of readers chose Angry / frustrated — but the rest split across 7 other emotions. The same moment, read in many ways at once. That spread is not a problem. That spread is the data.

Methodology + transparency

All counts above include only responses kept in analysis. Internal-test profiles are excluded. Free-text responses are not surfaced on this page; they pass through human moderation first and only feature on the dataset's curated quote page (forthcoming) once enough have been approved.

Want the full anonymized dataset? Email us.