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The Great Flood

2025 · 107 min · Director: Kim Byung-woo ★ IMDb 5.4 · 26,313 ratings

Show plot summary (may contain spoilers)

When a raging flood traps a researcher and her young son, a call to a crucial mission puts their escape — and the future of humanity — on the line.

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Emotional fingerprint

The Great Flood (2025) — Movie. Top emotional signals: Fear 35%, Anxiety 25%, Anticipation 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Fear35%
  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 Fear, Anxiety, Anticipation. Genres: Drama, Adventure, Sci-Fi. AI estimate.

Is it worth watching?

Consider this title if you are looking for Fear, Anxiety and Anticipation. Its IMDb rating of 5.4/10 suggests a mixed audience reception; consider how well the emotional profile suits you. For these leading emotions, its Feel Score is 58/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Tension
  • Love
  • Sadness

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Love

Dominant emotion: Tension

Dominant emotion: Sadness

Tension
Love
Sadness
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 83 %, then dips around 98 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityTensionLoveSadness
2.5 %≈ 3′Love43 %33 %23 %8 %
7.5 %≈ 8′Tension60 %56 %24 %14 %
12.5 %≈ 13′Tension72 %71 %31 %24 %
17.5 %≈ 19′Tension74 %70 %36 %30 %
22.5 %≈ 24′Tension74 %70 %34 %33 %
27.5 %≈ 29′Tension78 %74 %40 %46 %
32.5 %≈ 35′Sadness76 %69 %50 %56 %
37.5 %≈ 40′Love76 %68 %53 %59 %
42.5 %≈ 45′Sadness80 %74 %45 %64 %
47.5 %≈ 51′Tension76 %73 %31 %54 %
52.5 %≈ 56′Tension76 %75 %31 %43 %
57.5 %≈ 62′Tension83 %83 %39 %46 %
62.5 %≈ 67′Tension84 %81 %39 %53 %
67.5 %≈ 72′Tension79 %68 %45 %53 %
72.5 %≈ 78′Love76 %60 %53 %49 %
77.5 %≈ 83′Tension83 %69 %55 %57 %
82.5 %≈ 88′Sadness88 %65 %68 %71 %
87.5 %≈ 94′Love85 %45 %79 %64 %
92.5 %≈ 99′Love75 %30 %73 %40 %
97.5 %≈ 104′Love63 %23 %60 %25 %
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 ↗

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

KE
Kwon Eun-seong

Jeon Hye-jin

Lim Hyeon-mo

YT
Yûna Taira

Y
Yuna

Lee Ji-su

LD
Lee Dong-chan

KM
Kwon Min-kyung

KK
Kim Kang-bin

Thug

ES
Eun Su

Pregnant Woman

AH
Ahn Hyun-ho

Apt. 1503 Resident

LJ
Lee Jun-hyeok

Security team leader

KS
Kim Su-kyung

Apt. 304 Resident

SS
Seo Suk-kyu

Apt. 304 Resident

CS
Cho Seung-yeon

Apt. 702 Resident

PJ
Park Ji-won

Deacon

CS
Choi Sung-hyuk

Resident 1

Details

Directed by
Kim Byung-woo
Written by
Kim Byung-woo, Han Ji-su
Type
Movies
Released
2025
Runtime
107 min
Country
South Korea
Ratings
★ IMDb 5.4 · 26,313 ratings
Feels mostly
Fear
Data updated

Where to watch

Data: JustWatch · Wikidata

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