Emotional fingerprint
How to Blow Up a Pipeline (2023) — Movie. Top emotional signals: Tension 35%, Excitement 25%, Anxiety 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Tension35%
- Excitement25%
- Anxiety20%
- Anger10%
- Inspiration10%
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, Excitement, Anxiety. Genres: Thriller, Drama, Crime. AI estimate.
Is it worth watching?
Consider this title if you are looking for Tension, Excitement and Anxiety. Its IMDb rating of 6.8/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 71/100.
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
- Empathy
- Fear
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Sadness
Dominant emotion: Empathy
Dominant emotion: Tension
Dominant emotion: Relief
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Tension | Empathy | Fear |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 3′ | Sadness | 40 % | 23 % | 33 % | 12 % |
| 7.5 % | ≈ 8′ | Empathy | 44 % | 34 % | 25 % | 18 % |
| 12.5 % | ≈ 13′ | Tension | 54 % | 43 % | 25 % | 21 % |
| 17.5 % | ≈ 18′ | Sadness | 63 % | 45 % | 34 % | 23 % |
| 22.5 % | ≈ 23′ | Tension | 64 % | 54 % | 28 % | 31 % |
| 27.5 % | ≈ 29′ | Tension | 58 % | 53 % | 25 % | 30 % |
| 32.5 % | ≈ 34′ | Tension | 50 % | 43 % | 34 % | 18 % |
| 37.5 % | ≈ 39′ | Empathy | 53 % | 48 % | 36 % | 19 % |
| 42.5 % | ≈ 44′ | Tension | 64 % | 63 % | 26 % | 31 % |
| 47.5 % | ≈ 49′ | Tension | 73 % | 69 % | 28 % | 38 % |
| 52.5 % | ≈ 55′ | Sadness | 73 % | 61 % | 51 % | 35 % |
| 57.5 % | ≈ 60′ | Empathy | 70 % | 57 % | 60 % | 34 % |
| 62.5 % | ≈ 65′ | Tension | 73 % | 66 % | 45 % | 39 % |
| 67.5 % | ≈ 70′ | Tension | 71 % | 70 % | 32 % | 39 % |
| 72.5 % | ≈ 75′ | Tension | 70 % | 69 % | 40 % | 40 % |
| 77.5 % | ≈ 81′ | Tension | 77 % | 75 % | 54 % | 51 % |
| 82.5 % | ≈ 86′ | Tension | 80 % | 79 % | 49 % | 51 % |
| 87.5 % | ≈ 91′ | Tension | 75 % | 71 % | 34 % | 40 % |
| 92.5 % | ≈ 96′ | Relief | 72 % | 62 % | 27 % | 33 % |
| 97.5 % | ≈ 101′ | 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 How to Blow Up a Pipeline. 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
Eric
Valentina
Eden
Oil Worker
Edward
Surveyor
Geoff the Documentary Filmmaker
Earl
Details
- Directed by
- Daniel Goldhaber
- Written by
- Daniel Goldhaber, Ariela Barer, Jordan Sjol, Andreas Malm
- Type
- Movies
- Released
- 2023
- Runtime
- 104 min
- Country
- United States of America
- Ratings
- Feels mostly
- Tension
- Data updated
Where to watch
Rent
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.
