feeldb

The Out-of-Towners

1970 · 98 min · Director: Arthur Hiller ★ IMDb 7.1 · 10,225 ratings

Show plot summary (may contain spoilers)

A trip to New York for a job interview turns into a trip to hell for a small town couple.

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Emotional fingerprint

The Out-of-Towners (1970) — Movie. Top emotional signals: Humor 35%, Anxiety 25%, Excitement 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Humor35%
  2. Fear10%
  3. 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 Humor, Anxiety, Excitement. Genres: Comedy. AI estimate.

Is it worth watching?

Consider this title if you are looking for Humor, Anxiety and Excitement. Its IMDb rating of 7.1/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 72/100.

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Emotional journey

AI · from subtitles
  • Humor
  • Sympathy
  • Tension

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Anticipation

Dominant emotion: Humor

Dominant emotion: Tension

Dominant emotion: Sympathy

Dominant emotion: Relief

Humor
Sympathy
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 88 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityHumorSympathyTension
2.5 %≈ 2′Anticipation45 %32 %10 %15 %
7.5 %≈ 7′Anticipation45 %35 %14 %20 %
12.5 %≈ 12′Humor46 %39 %24 %33 %
17.5 %≈ 17′Humor50 %41 %31 %44 %
22.5 %≈ 22′Humor54 %46 %32 %45 %
27.5 %≈ 27′Humor55 %51 %36 %39 %
32.5 %≈ 32′Humor55 %51 %43 %37 %
37.5 %≈ 37′Humor54 %49 %43 %41 %
42.5 %≈ 42′Humor57 %45 %44 %49 %
47.5 %≈ 47′Tension68 %45 %50 %61 %
52.5 %≈ 51′Tension70 %50 %54 %59 %
57.5 %≈ 56′Sympathy65 %54 %56 %40 %
62.5 %≈ 61′Humor63 %56 %56 %31 %
67.5 %≈ 66′Sympathy64 %56 %54 %40 %
72.5 %≈ 71′Humor66 %51 %55 %49 %
77.5 %≈ 76′Sympathy66 %48 %60 %48 %
82.5 %≈ 81′Humor68 %53 %61 %51 %
87.5 %≈ 86′Sympathy71 %57 %59 %57 %
92.5 %≈ 91′Humor69 %56 %48 %49 %
97.5 %≈ 96′Relief65 %55 %33 %38 %
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 ↗

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Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.

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Cast

SB
Sandy Baron

Lenny Moyers

AM
Anne Meara

AM
Anne Meara

Purse Snatching Victim in Police Station

RN
Robert Nichols

RN
Robert Nichols

Passenger

AP
Ann Prentiss

AP
Ann Prentiss

Airline Stewardess

GJ
Graham Jarvis

Graham Jarvis

Murray the mugger

CM
Carlos Montalbán

RK
Robert King

Agent in Boston

JB
Johnny Brown

Waiter in Train

DS
Dolph Sweet

Police Sgt Kavalefski

TR
Thalmus Rasulala

Police Officer

JK
Jon Korkes

Looter

RW
Robert Walden

Looter

DC
Dort Clark

Man on Train

Richard Libertini

Baggage Man - Boston

Paul Dooley

Day Desk Clerk at Hotel

AH
Anthony Holland

Desk Clerk Night

Details

Directed by
Arthur Hiller
Written by
Neil Simon
Type
Movies
Released
1970
Runtime
98 min
Country
United States of America
Genres
Comedy
Ratings
★ IMDb 7.1 · 10,225 ratings
Feels mostly
Humor
Data updated

Where to watch

Also on

Availability varies by country

Data: JustWatch · Wikidata

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