Clip detail
“The Intern - Jules Apologizes”
Whose emotion the readers were reading: a lady in red
Curated window: 1:30 – 2:20 (50s). Plays the same window each time — replays return to 1:30.
Plays only the curated 50-second window. · Embedded via the YouTube Player API · © original creators.
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.
Full distribution
How readers split across the emotions
- Sad / sorry3 · 50% (2p)
- Anxious / nervous3 · 50% (1p)
- Embarrassed / awkward3 · 50% (0p)
- Happy / amused1 · 17% (0p)
- Confused1 · 17% (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
PrimaryEmbarrassed / awkward
SecondaryAnxious / nervous, Sad / sorry, Affectionate / tender
CuesWhat they said, Facial expression, Tone of voice
Why
The woman's verbal content is a direct apology where she admits fault ("I jumped the gun") and expresses regret. Her pained facial expressions, combined with a rushed, earnest tone, suggest a deep sense of embarrassment and anxiety about how her actions have affected the man.
AI's own caveat
Her vulnerability and earnestness could also be interpreted as affection, or simply anxiety about losing a valued colleague.
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.
- What they said6 · 100%
- The situation5 · 83%
- Facial expression3 · 50%
- Tone of voice3 · 50%
- Body language / posture2 · 33%
- Timing / pauses1 · 17%
The finding
On this clip, 50% of readers chose Sad / sorry — but the rest split across 4 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.