feeldb

Wolf Totem

2015 · 116 min · Director: Jean-Jacques Annaud ★ IMDb 6.6 · 6,575 ratings

Show plot summary (may contain spoilers)

In 1967, a young Beijing student, Chen Zhen, is sent to live among the nomadic herdsmen of Inner Mongolia. Caught between the advance of civilization from the south and the nomads' traditional enemies - the marauding wolves - to the north; humans and animals, residents and invaders alike, struggle to find their true place in the world.

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Emotional fingerprint

Wolf Totem (2015) — Movie. Top emotional signals: Awe 30%, Empathy 25%, Sadness 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

30%Awe
  1. Awe30%

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 Awe, Empathy, Sadness. Genres: Drama, Adventure. AI estimate.

Is it worth watching?

Consider this title if you are looking for Awe, Empathy and Sadness. Its IMDb rating of 6.6/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 68/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Empathy
  • Sadness
  • Tension

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Curiosity

Dominant emotion: Awe

Dominant emotion: Sadness

Dominant emotion: Tension

Dominant emotion: Empathy

Empathy
Sadness
Tension
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 43 %, then dips around 57 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityEmpathySadnessTension
2.5 %≈ 3′Curiosity48 %11 %7 %17 %
7.5 %≈ 9′Awe50 %14 %4 %30 %
12.5 %≈ 15′Curiosity49 %21 %6 %31 %
17.5 %≈ 20′Curiosity49 %32 %19 %26 %
22.5 %≈ 26′Sadness53 %41 %30 %36 %
27.5 %≈ 32′Curiosity61 %48 %39 %45 %
32.5 %≈ 38′Sadness73 %54 %44 %54 %
37.5 %≈ 44′Tension83 %52 %37 %74 %
42.5 %≈ 49′Tension85 %58 %46 %75 %
47.5 %≈ 55′Sadness75 %63 %53 %56 %
52.5 %≈ 61′Tension63 %54 %37 %47 %
57.5 %≈ 67′Empathy56 %47 %30 %42 %
62.5 %≈ 73′Sadness56 %43 %34 %43 %
67.5 %≈ 78′Tension57 %44 %34 %50 %
72.5 %≈ 84′Empathy64 %54 %41 %58 %
77.5 %≈ 90′Tension78 %66 %54 %73 %
82.5 %≈ 96′Tension84 %70 %62 %79 %
87.5 %≈ 102′Empathy83 %74 %67 %69 %
92.5 %≈ 107′Empathy80 %74 %71 %43 %
97.5 %≈ 113′Sadness78 %69 %73 %19 %
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 ↗

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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

SF
Shaofeng Feng

WF
William Feng

Chen Zhen

SD
Shawn Dou

SD
Shawn Dou Xiao

Yang Ke

AR
Ankhnyam Ragchaa

YZ
Yin Zhusheng

Bao Shunghi

BM
Baasanjav Mijid

Bilig

T
Tumenbayaer

Sang Jie

HT
Han Tongsheng

HX
Huang Xiaolei

QN
Qi Na Ri Tu

Gertai

XX
Xia Xing

Zhi Qing

Details

Written by
Jean-Jacques Annaud, Alain Godard, John Collee, Jiang Rong, Lu Wei
Type
Movies
Released
2015
Runtime
116 min
Country
China, France
Ratings
★ IMDb 6.6 · 6,575 ratings
Feels mostly
Awe
Data updated

Where to watch

Data: JustWatch · Wikidata

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