Kill Me Again
1989 · 94 min · Director: John Dahl
Show plot summary (may contain spoilers)
Fay Forrester, an attractive young lady wants to escape from her violent and jealous boyfriend Vince. So she hires Jack Andrews, a second class private investigator to arrange her death. She wants to restart her life with a new identity and the money she robbed together with Vince. Because of Jack's financial problems he joins Fay after her fake death. Unfortunately Vince finds out that Fay's still alive. The hunt for Jack, Fay and the money begins...
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Emotional fingerprint
Kill Me Again (1989) — Movie. Top emotional signals: Tension 30%, Anxiety 25%, Excitement 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Tension30%
- Anxiety25%
- Excitement20%
- Fear15%
- Surprise10%
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: Drama, Crime, Action. AI estimate.
Is it worth watching?
Consider this title if you are looking for Tension, Anxiety and Excitement. Its IMDb rating of 6.3/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 65/100.
How did it make you feel?
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Pick up to three · 0/3
Emotional journey
- Tension
- Curiosity
- Fear
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Tension
Dominant emotion: Curiosity
Dominant emotion: Sadness
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Tension | Curiosity | Fear |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 2′ | Tension | 65 % | 65 % | 33 % | 43 % |
| 7.5 % | ≈ 7′ | Tension | 61 % | 60 % | 39 % | 36 % |
| 12.5 % | ≈ 12′ | Curiosity | 56 % | 49 % | 46 % | 25 % |
| 17.5 % | ≈ 16′ | Curiosity | 57 % | 41 % | 54 % | 20 % |
| 22.5 % | ≈ 21′ | Curiosity | 57 % | 39 % | 56 % | 16 % |
| 27.5 % | ≈ 26′ | Curiosity | 53 % | 38 % | 51 % | 10 % |
| 32.5 % | ≈ 31′ | Curiosity | 49 % | 40 % | 44 % | 11 % |
| 37.5 % | ≈ 35′ | Tension | 51 % | 48 % | 44 % | 18 % |
| 42.5 % | ≈ 40′ | Curiosity | 60 % | 57 % | 50 % | 24 % |
| 47.5 % | ≈ 45′ | Tension | 68 % | 66 % | 48 % | 38 % |
| 52.5 % | ≈ 49′ | Tension | 71 % | 71 % | 43 % | 50 % |
| 57.5 % | ≈ 54′ | Tension | 71 % | 71 % | 45 % | 48 % |
| 62.5 % | ≈ 59′ | Tension | 61 % | 57 % | 44 % | 33 % |
| 67.5 % | ≈ 63′ | Curiosity | 50 % | 41 % | 39 % | 19 % |
| 72.5 % | ≈ 68′ | Tension | 55 % | 49 % | 43 % | 21 % |
| 77.5 % | ≈ 73′ | Tension | 68 % | 66 % | 44 % | 38 % |
| 82.5 % | ≈ 78′ | Tension | 78 % | 78 % | 40 % | 56 % |
| 87.5 % | ≈ 82′ | Tension | 85 % | 84 % | 43 % | 65 % |
| 92.5 % | ≈ 87′ | Tension | 80 % | 64 % | 33 % | 49 % |
| 97.5 % | ≈ 92′ | Sadness | 67 % | 28 % | 13 % | 22 % |
Riches to rags
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 ↗
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Premise onlyAfterward Reveal viewer responses · may contain spoilers
Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.
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Feeling details appear after at least 3 viewers respond, to protect privacy.
Cast
Jonesy
Marty
Collection Agent #1
Collection Agent #2
Gossipy Motel Clerk
Rest Stop Little Boy
Rest Stop Father
Tim the Motel Clerk
Kathy the Drowned Wife
7-11 Motel Clerk
Airport Ticket Agent
Uniformed Cop
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