Non-Stop
2014 · 107 min · Director: Jaume Collet-Serra
Show plot summary (may contain spoilers)
Bill Marks, a former cop dealing with his daughter's death by drinking, is now a federal air marshal. While on a flight from New York to London, Marks gets a text telling him that unless 150 million dollars is transferred to an offshore account, someone will die every 20 minutes. Can he find the terrorist in time and save everyone?
Emotional fingerprint
Non-Stop (2014) — Movie. Top emotional signals: Tension 35%, Anxiety 25%, Excitement 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Tension35%
- Anxiety25%
- Excitement20%
- Relief10%
- Confusion10%
AI estimate · no viewer votes yet
How we measure
AI estimate
Share of emotional signal, not the percentage of people or a probability of enjoyment.
Each viewer contributes one response, split equally across their selected emotions. When available, an automated estimate supplies a prior that is blended with those responses. Counts include distinct viewers, not automated estimates or archived anonymous votes. Fewer than 3 viewers is an early estimate; more responses do not guarantee certainty.
Why it feels this way
The strongest emotional signals are Tension, Anxiety, Excitement. Genres: Thriller, Mystery, Action. AI estimate.
Is it worth watching?
Consider this title if you are looking for Tension, Anxiety and Excitement. Its IMDb rating of 6.9/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 72/100.
How did it make you feel?
Votes are saved to the fingerprint once you’re signed in.
Pick up to three · 0/3
Emotional journey
- Tension
- Fear
- Curiosity
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Curiosity
Dominant emotion: Sadness
Dominant emotion: Tension
Dominant emotion: Relief
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Tension | Fear | Curiosity |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 3′ | Curiosity | 19 % | 13 % | 5 % | 16 % |
| 7.5 % | ≈ 8′ | Not enough subtitle evidence | 20 % | 12 % | 6 % | 15 % |
| 12.5 % | ≈ 13′ | Sadness | 32 % | 24 % | 12 % | 25 % |
| 17.5 % | ≈ 19′ | Tension | 51 % | 46 % | 22 % | 43 % |
| 22.5 % | ≈ 24′ | Tension | 59 % | 57 % | 26 % | 51 % |
| 27.5 % | ≈ 29′ | Tension | 60 % | 57 % | 26 % | 51 % |
| 32.5 % | ≈ 35′ | Curiosity | 61 % | 58 % | 28 % | 52 % |
| 37.5 % | ≈ 40′ | Tension | 69 % | 66 % | 42 % | 54 % |
| 42.5 % | ≈ 45′ | Tension | 75 % | 73 % | 52 % | 55 % |
| 47.5 % | ≈ 51′ | Tension | 71 % | 68 % | 43 % | 56 % |
| 52.5 % | ≈ 56′ | Tension | 69 % | 66 % | 38 % | 54 % |
| 57.5 % | ≈ 62′ | Tension | 67 % | 64 % | 40 % | 51 % |
| 62.5 % | ≈ 67′ | Curiosity | 65 % | 59 % | 39 % | 47 % |
| 67.5 % | ≈ 72′ | Tension | 75 % | 70 % | 53 % | 43 % |
| 72.5 % | ≈ 78′ | Tension | 83 % | 80 % | 64 % | 37 % |
| 77.5 % | ≈ 83′ | Tension | 86 % | 83 % | 67 % | 37 % |
| 82.5 % | ≈ 88′ | Tension | 90 % | 88 % | 75 % | 35 % |
| 87.5 % | ≈ 94′ | Tension | 92 % | 75 % | 64 % | 21 % |
| 92.5 % | ≈ 99′ | Relief | 90 % | 47 % | 38 % | 9 % |
| 97.5 % | ≈ 104′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence |
Man in a hole
Rags to riches: The emotional tone rises from negative to positive.
Riches to rags: The emotional tone falls from positive to negative.
Man in a hole: The tone falls, then recovers.
Icarus: The tone rises, then falls.
Cinderella: The tone rises, falls, then rises again.
Oedipus: The tone falls, rises, then falls again.
AI reading of the film’s English subtitles (dialogue and sound cues) — not viewer votes. How we measure ↗
Kadri — your film companion
AIAsk anything about Non-Stop. From the film’s own dialogue and FeelDB data, at your spoiler level.
Afterward Reveal viewer responses · may contain spoilers
Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.
0 responses so far
Feeling details appear after at least 3 viewers respond, to protect privacy.
Cast
Becca
Herve Philbert
Emily Norton
Older Woman
Details
- Directed by
- Jaume Collet-Serra
- Written by
- Christopher Roach, Ryan Engle, John W. Richardson
- Type
- Movies
- Released
- 2014
- Runtime
- 107 min
- Country
- United Kingdom, France, United States, Canada
- Ratings
- Feels mostly
- Tension
- Data updated
Where to watch
Rent
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