The 33
2015 · 120 min · Director: Patricia Riggen
Show plot summary (may contain spoilers)
A docudramatic account of the 2010 Chilean mine disaster is presented, where the thirty-three miners who went into the San José Mine in Copiapó, Chile in the middle of the Atacama Desert on August 5 were trapped 700 meters underground for sixty-nine days, with all thirty-three eventually able to make it out of the mine alive. That day, mine foreman, Luis "Don Lucho" Urzúa, reported his concerns to mine owner, Carlos Castillo, about the unstable nature of the mountain under which the mine is located, those concerns which went unheeded. Don Lucho one of the thirty-three, went to work as usual into the mine, when that instability led to collapse in some of the underground shafts, the thirty-three who were able to make it to the refuge area, however with communication channels to the surface inoperable. Under normal circumstances, the refuge area had enough supplies to last thirty men three days. The miners also discovered that the company had failed to place the requisite ladders from the refuge area to the surface, and that the primary route out was now blocked by a shifted rock, its mass the equivalent of the Empire State Building. The thirty-three were ultimately led by Mario Sepúlveda, who was not going to let any of the thirty-three take priority over any of the others, especially in the initial panic and instinct for self-survival among some. On the surface, loved ones of the trapped miners held vigil at the mine, with María Segovia, elder sister of trapped miner Dario Segovia, arguably the most outspoken in condemnation of the powers that be not doing anything to search for the miners, not knowing if they were dead or alive, but who was also quick to give praise where praise was due. That praise largely went to the relatively new Minister of Mines, Laurence Golborne, who was determined both to do whatever he could on behalf of the government to look for the men and to provide accurate assessments to those holding vigil of the situation, especially in Castillo seeing miner deaths solely as an unfortunate nature of the business. The chief engineer assigned to drill toward the refuge area in the hopes that the miners were there was Andre Sougarret, who admitted that the process was not a scientific one as one would have hoped. Once the miners were discovered alive in the refuge area, the next phase of trying to extract them held its own new challenges for all concerned, both logistical and emotional.
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Emotional fingerprint
The 33 (2015) — Movie. Top emotional signals: Anxiety 30%, Empathy 25%, Tension 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
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 Anxiety, Empathy, Tension. Genres: Drama, History, Biography. AI estimate.
Is it worth watching?
Consider this title if you are looking for Anxiety, Empathy and Tension. Its IMDb rating of 6.9/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 70/100.
How did it make you feel?
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Pick up to three · 0/3
Emotional journey
- Tension
- Hope
- Relief
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Joy
Dominant emotion: Tension
Dominant emotion: Hope
Dominant emotion: Sadness
Dominant emotion: Relief
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Tension | Hope | Relief |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 3′ | Joy | 42 % | 14 % | 14 % | 3 % |
| 7.5 % | ≈ 9′ | Joy | 48 % | 32 % | 11 % | 1 % |
| 12.5 % | ≈ 15′ | Tension | 69 % | 64 % | 9 % | 3 % |
| 17.5 % | ≈ 21′ | Tension | 83 % | 80 % | 12 % | 6 % |
| 22.5 % | ≈ 27′ | Tension | 80 % | 77 % | 19 % | 3 % |
| 27.5 % | ≈ 33′ | Tension | 79 % | 74 % | 26 % | 0 % |
| 32.5 % | ≈ 39′ | Tension | 76 % | 68 % | 36 % | 6 % |
| 37.5 % | ≈ 45′ | Hope | 69 % | 58 % | 47 % | 14 % |
| 42.5 % | ≈ 51′ | Tension | 72 % | 63 % | 46 % | 13 % |
| 47.5 % | ≈ 57′ | Sadness | 81 % | 73 % | 38 % | 7 % |
| 52.5 % | ≈ 63′ | Sadness | 84 % | 68 % | 27 % | 5 % |
| 57.5 % | ≈ 69′ | Sadness | 82 % | 54 % | 29 % | 8 % |
| 62.5 % | ≈ 75′ | Hope | 81 % | 50 % | 56 % | 31 % |
| 67.5 % | ≈ 81′ | Relief | 82 % | 51 % | 75 % | 61 % |
| 72.5 % | ≈ 87′ | Hope | 75 % | 53 % | 60 % | 49 % |
| 77.5 % | ≈ 93′ | Tension | 72 % | 63 % | 44 % | 20 % |
| 82.5 % | ≈ 99′ | Tension | 76 % | 72 % | 49 % | 17 % |
| 87.5 % | ≈ 105′ | Hope | 83 % | 75 % | 63 % | 42 % |
| 92.5 % | ≈ 111′ | Relief | 88 % | 61 % | 60 % | 72 % |
| 97.5 % | ≈ 117′ | Relief | 84 % | 33 % | 44 % | 78 % |
Rags to riches
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
Jessica Salgado
CNN Anchor
Details
- Directed by
- Patricia Riggen
- Written by
- Michael Thomas, Jose Rivera, Craig Borten, Mikko Alanne
- Type
- Movies
- Released
- 2015
- Runtime
- 120 min
- Country
- Chile, Colombia, Spain, United States
- Ratings
- Feels mostly
- Anxiety
- Data updated
Where to watch
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