feeldb

Flight of the Phoenix

2004 · 113 min · Director: John Moore ★ IMDb 6.1 · 59,499 ratings

Show plot summary (may contain spoilers)

A group of air crash survivors are stranded in the Mongolian desert with no chance of rescue. Facing a brutal environment, dwindling resources, and an attack by desert smugglers, they realize their only hope is doing the impossible... building a new plane from the wreckage of the old one.

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Emotional fingerprint

Flight of the Phoenix (2004) — Movie. Top emotional signals: Anxiety 30%, Excitement 25%, Hope 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Hope20%
  2. Relief10%

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, Excitement, Hope. Genres: Drama, Adventure, Action. AI estimate.

Is it worth watching?

Consider this title if you are looking for Anxiety, Excitement and Hope. Its IMDb rating of 6.1/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 62/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Tension
  • Hope
  • Relief

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Tension

Dominant emotion: Joy

Dominant emotion: Hope

Dominant emotion: Sadness

Dominant emotion: Relief

Tension
Hope
Relief
Emotional journey Emotional intensity over the film’s runtime, from quieter to stronger on a fixed 0–1 scale. Hatched intervals have insufficient subtitle evidence. The table provides the values.
Ending hidden

Dominant emotion

Intensity dips around 3 %, then peaks around 88 %, then dips around 98 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityTensionHopeRelief
2.5 %≈ 3′Tension35 %23 %7 %2 %
7.5 %≈ 8′Joy48 %34 %11 %3 %
12.5 %≈ 14′Tension70 %63 %11 %6 %
17.5 %≈ 20′Tension73 %70 %13 %11 %
22.5 %≈ 25′Tension66 %64 %14 %8 %
27.5 %≈ 31′Tension71 %68 %20 %3 %
32.5 %≈ 37′Tension71 %65 %36 %5 %
37.5 %≈ 42′Hope66 %53 %50 %16 %
42.5 %≈ 48′Hope64 %46 %51 %24 %
47.5 %≈ 54′Tension63 %51 %43 %23 %
52.5 %≈ 59′Joy66 %59 %36 %25 %
57.5 %≈ 65′Tension74 %70 %29 %18 %
62.5 %≈ 71′Tension81 %79 %18 %4 %
67.5 %≈ 76′Sadness81 %76 %16 %4 %
72.5 %≈ 82′Tension75 %71 %28 %9 %
77.5 %≈ 88′Tension78 %73 %42 %9 %
82.5 %≈ 93′Hope86 %78 %60 %28 %
87.5 %≈ 99′Relief91 %79 %69 %65 %
92.5 %≈ 105′Relief79 %56 %51 %69 %
97.5 %≈ 110′Joy57 %23 %27 %47 %
Cinderella

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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Afterward 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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Cast

Tony Curran

Rodney

SF
Sticky Fingaz

Jeremy

JP
Jared Padalecki

Davis

PD
Paul Ditchfield

Dr. Gerber

M'
Martin 'Mako' Hindy

Newman

BB
Bob Brown

Kyle

AB
Anthony Brandon Wong

Lead Smuggler

DB
Derek Barton

Voice Actor (voice)

JL
Jim Lau

Voice Actor (voice)

YW
Yi-ding Wang

Smuggler #2

KC
Kee-yick Cheng

Smuggler #3

VL
Vernon Lehmann

Smuggler #4

Details

Directed by
John Moore
Type
Movies
Released
2004
Runtime
113 min
Country
United States
Ratings
★ IMDb 6.1 · 59,499 ratings
Feels mostly
Anxiety
Data updated

Where to watch

Also on

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Data: JustWatch · Wikidata

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Emotion overlap shows mood similarity, not a prediction of enjoyment.