30 Days of Night: Dark Days
2010 · 92 min · Director: Ben Ketai
Show plot summary (may contain spoilers)
After surviving the incidents in Barrow, Alaska, Stella Olemaun relocates to Los Angeles, where she intentionally attracts the attention of the local vampire population in order to avenge the death of her husband, Eben.
Emotional fingerprint
30 Days of Night: Dark Days (2010) — Movie. Top emotional signals: Fear 40%, Tension 25%, Anxiety 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Fear40%
- Tension25%
- Anxiety20%
- Disturbing10%
- Relief5%
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 Fear, Tension, Anxiety. Genres: Thriller, Horror. AI estimate.
Is it worth watching?
Consider this title if you are looking for Fear, Tension and Anxiety. Its IMDb rating of 4.3/10 suggests a mixed audience reception; consider how well the emotional profile suits you. For these leading emotions, its Feel Score is 56/100.
How did it make you feel?
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Pick up to three · 0/3
Emotional journey
- Tension
- Disturbing
- Fear
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Sadness
Dominant emotion: Tension
Dominant emotion: Disturbing
Dominant emotion: Empathy
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Tension | Disturbing | Fear |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 2′ | Sadness | 68 % | 30 % | 33 % | 17 % |
| 7.5 % | ≈ 7′ | Tension | 63 % | 45 % | 36 % | 29 % |
| 12.5 % | ≈ 12′ | Tension | 60 % | 55 % | 41 % | 38 % |
| 17.5 % | ≈ 16′ | Tension | 59 % | 55 % | 39 % | 35 % |
| 22.5 % | ≈ 21′ | Tension | 64 % | 50 % | 39 % | 34 % |
| 27.5 % | ≈ 25′ | Sadness | 75 % | 50 % | 41 % | 42 % |
| 32.5 % | ≈ 30′ | Tension | 83 % | 69 % | 45 % | 60 % |
| 37.5 % | ≈ 35′ | Tension | 84 % | 81 % | 55 % | 68 % |
| 42.5 % | ≈ 39′ | Tension | 80 % | 78 % | 61 % | 61 % |
| 47.5 % | ≈ 44′ | Disturbing | 80 % | 76 % | 64 % | 61 % |
| 52.5 % | ≈ 48′ | Tension | 79 % | 68 % | 51 % | 54 % |
| 57.5 % | ≈ 53′ | Empathy | 70 % | 54 % | 35 % | 38 % |
| 62.5 % | ≈ 58′ | Tension | 69 % | 60 % | 45 % | 45 % |
| 67.5 % | ≈ 62′ | Tension | 76 % | 74 % | 61 % | 63 % |
| 72.5 % | ≈ 67′ | Tension | 83 % | 80 % | 66 % | 70 % |
| 77.5 % | ≈ 71′ | Tension | 88 % | 84 % | 73 % | 75 % |
| 82.5 % | ≈ 76′ | Tension | 90 % | 85 % | 78 % | 78 % |
| 87.5 % | ≈ 81′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence |
| 92.5 % | ≈ 85′ | Sadness | 70 % | 40 % | 40 % | 15 % |
| 97.5 % | ≈ 90′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence |
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 ↗
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
Jennifer
Clyde
Wounded Vampire
Harvey (uncredited)
Ivan
Details
Where to watch
Rent
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.
