Clip detail
“Ryan Gosling and Harrison Ford Interview”
Curated window: 0:23 – 1:05 (42s). Plays the same window each time — replays return to 0:23.
Plays only the curated 42-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
- Happy / amused5 · 83%
- Disappointed1 · 17% (0p)
- Contempt / scorn1 · 17% (0p)
- Anxious / nervous1 · 17% (0p)
- Embarrassed / awkward1 · 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
PrimaryHappy / amused
SecondaryEmbarrassed / awkward
CuesFacial expression, Body language / posture, Tone of voice, How others reacted
Why
The woman appears deeply amused, evidenced by her unrestrained laughter, broad smiles, and playful body language. Her reaction seems sparked by her own joke landing well and the actors' equally amused responses, creating a shared, chaotic moment of humor.
AI's own caveat
Her apologies and laughter could also hint at a degree of playful embarrassment at losing professional composure, though the overall feeling appears joyful.
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.
- Facial expression4 · 67%
- Tone of voice4 · 67%
- What they said4 · 67%
- The situation4 · 67%
- Body language / posture2 · 33%
- How others reacted2 · 33%
The finding
On this clip, 83% of readers chose Happy / amused — but the rest split across 5 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.