feeldb

The Tit and the Moon

1994 · 86 min · Director: Bigas Luna ★ IMDb 6.3 · 3,801 ratings

Show plot summary (may contain spoilers)

A child cannot stand the idea of having a new brother and dreams about drinking milk from the breasts of his mother again. The child asks the moon to bring him a teet only for him.

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Emotional fingerprint

The Tit and the Moon (1994) — Movie. Top emotional signals: Confusion 30%, Humor 25%, Love 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

25%Humor
20%Love
  1. Humor25%
  2. Love20%
  3. Smile10%

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 Confusion, Humor, Love. Genres: Comedy, Romance. AI estimate.

Is it worth watching?

Consider this title if you are looking for Confusion, Humor and Love. Its IMDb rating of 6.3/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 65/100.

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Emotional journey

AI · from subtitles
  • Humor
  • Love
  • Sadness

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Tension

Dominant emotion: Humor

Dominant emotion: Love

Dominant emotion: Sadness

Dominant emotion: Joy

Humor
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. Not enough subtitle evidence
Ending hidden

Dominant emotion

Intensity dips around 8 %, then rises around 57 %, then peaks around 93 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityHumorLoveSadness
2.5 %≈ 2′Tension45 %32 %2 %7 %
7.5 %≈ 6′Humor45 %38 %6 %15 %
12.5 %≈ 11′Humor49 %46 %20 %16 %
17.5 %≈ 15′Humor52 %48 %38 %9 %
22.5 %≈ 19′Love50 %45 %43 %6 %
27.5 %≈ 24′Humor51 %46 %41 %10 %
32.5 %≈ 28′Love52 %46 %36 %14 %
37.5 %≈ 32′Humor51 %45 %25 %16 %
42.5 %≈ 37′Humor52 %45 %29 %19 %
47.5 %≈ 41′Love53 %48 %35 %18 %
52.5 %≈ 45′Humor54 %51 %30 %18 %
57.5 %≈ 49′Humor63 %41 %30 %39 %
62.5 %≈ 54′Sadness74 %23 %30 %60 %
67.5 %≈ 58′Tension73 %18 %26 %53 %
72.5 %≈ 62′Tension68 %25 %25 %44 %
77.5 %≈ 67′Sadness64 %38 %29 %39 %
82.5 %≈ 71′Humor62 %50 %39 %31 %
87.5 %≈ 75′Humor68 %51 %49 %26 %
92.5 %≈ 80′Joy75 %43 %53 %17 %
97.5 %≈ 84′Not enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidence
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

BD
Biel Duran

MM
Mathilda May

Estrellita

MP
Miguel Poveda

Miquel

AF
Abel Folk

Father

LM
Laura Mañá

Mare

GS
Genís Sánchez

Stallone

XM
Xavier Massé

El Abuelo

VL
Victoria Lepori

La de las tetas

XE
Xus Estruch

La madre de Stallone

JH
Jane Harvey

La Caballé

VI
Vanessa Isbert

Novia de Stallone

JB
Jordi Busquets

Cap Colla

DF
Diego Fernández

DF
Diego Fernández

SA
Salvador Anglada

Casteller

Javier Bardem

Benito González

Details

Directed by
Bigas Luna
Written by
Bigas Luna, Cuca Canals, Josep Bargalló
Type
Movies
Released
1994
Runtime
86 min
Country
Spain, France
Ratings
★ IMDb 6.3 · 3,801 ratings
Feels mostly
Confusion
Data updated

Where to watch

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Data: JustWatch · Wikidata

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