feeldb

Dying to Survive

2018 · 117 min · Director: Muye Wen, Wen Muye ★ IMDb 7.8 · 9,335 ratings

Show plot summary (may contain spoilers)

A story on how a small drug store owner became the exclusive selling agent of a cheap Indian generic drug against Chronic Granulocytic Leukemia in China.

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Emotional fingerprint

Dying to Survive (2018) — Movie. Top emotional signals: Empathy 30%, Sadness 25%, Humor 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

20%Humor
  1. Humor20%
  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 Empathy, Sadness, Humor. Genres: Comedy, Drama. AI estimate.

Is it worth watching?

Consider this title if you are looking for Empathy, Sadness and Humor. Its IMDb rating of 7.8/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 73/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Empathy
  • Tension
  • Sadness

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Humor

Dominant emotion: Tension

Dominant emotion: Empathy

Dominant emotion: Hope

Dominant emotion: Sadness

Empathy
Tension
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 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityEmpathyTensionSadness
2.5 %≈ 3′Humor30 %23 %23 %13 %
7.5 %≈ 9′Tension41 %34 %38 %23 %
12.5 %≈ 15′Empathy51 %44 %48 %30 %
17.5 %≈ 20′Hope51 %43 %41 %24 %
22.5 %≈ 26′Hope53 %40 %39 %16 %
27.5 %≈ 32′Tension54 %34 %41 %13 %
32.5 %≈ 38′Humor49 %28 %33 %10 %
37.5 %≈ 44′Humor49 %38 %30 %15 %
42.5 %≈ 50′Hope55 %48 %41 %20 %
47.5 %≈ 56′Tension59 %48 %50 %29 %
52.5 %≈ 61′Sadness64 %54 %54 %49 %
57.5 %≈ 67′Sadness68 %60 %58 %61 %
62.5 %≈ 73′Sadness68 %59 %59 %57 %
67.5 %≈ 79′Hope71 %64 %57 %54 %
72.5 %≈ 85′Empathy75 %64 %61 %48 %
77.5 %≈ 91′Tension77 %59 %69 %45 %
82.5 %≈ 97′Sadness84 %70 %73 %60 %
87.5 %≈ 102′Hope84 %76 %70 %65 %
92.5 %≈ 108′Sadness79 %66 %52 %51 %
97.5 %≈ 114′Hope77 %55 %27 %33 %
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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Cast

XZ
Xu Zheng

Cheng Yong

YZ
Yiwei Zhou

ZY
Zhou Yiwei

Cao Bin

CW
Chuan-jun Wang

WC
Wang Chuanjun

Lü Shouyi

TZ
Tan Zhuo

Liu Sihui

ZY
Zhang Yu

Peng Hao

YX
Yang Xinming

Pastor Liu

WY
Wang Yanhui

Zhang Changlin

JH
Jia Hongxiao

Xiao Sun

LN
Li Naiwen

Zhao Lizhong

GB
Gong Beibi

Cao Ling

WJ
Wang Jiajia

Lü's Wife

ZG
Zhu Gengyou

Cheng Xiaoshu

NH
Ning Hao

Landlord

ZZ
Zhang Zixian

Attorney Zhao

NX
Ning Xiaozhi

Director Hao

DJ
Du Jiayi

Shanghai Police

WQ
Wei Qing

Old Woman

FG
Fu Guanming

Nightclub Manager

DF
Deng Fei

Secretary Wu

YX
Yue Xiaojun

Nursing Home Owner

Details

Directed by
Muye Wen, Wen Muye
Written by
Muye Wen, Jianv Han, Wei Zhong, Wen Muye, Han Jianü
Type
Movies
Released
2018
Runtime
117 min
Country
China
Genres
Comedy, Drama
Ratings
★ IMDb 7.8 · 9,335 ratings
Feels mostly
Empathy
Data updated

Where to watch

Data: JustWatch · Wikidata

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