feeldb

Standing Up, Falling Down

2019 · 91 min · Director: Matt Ratner ★ IMDb 6.6 · 2,861 ratings

Show plot summary (may contain spoilers)

A comedy about the unlikely friendship that kindles between a struggling stand-up comedian from L.A., forced to move back home to Eastern Long Island with his tail between his legs, and a tragically flawed, but charming and charismatic, alcoholic dermatologist. Discovering to be kindred spirits, each helps the other find healing, in addition to the confidence to face the "failures" in their lives.

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Emotional fingerprint

Standing Up, Falling Down (2019) — Movie. Top emotional signals: Humor 30%, Empathy 25%, Inspiration 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

  1. Humor30%
  2. Hope10%

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, Empathy, Inspiration. Genres: Comedy, Drama. AI estimate.

Is it worth watching?

Consider this title if you are looking for Humor, Empathy and Inspiration. Its IMDb rating of 6.6/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 67/100.

How did it make you feel?

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Emotional journey

AI · from subtitles
  • Empathy
  • Sadness
  • Humor

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Humor

Dominant emotion: Sadness

Dominant emotion: Hope

Dominant emotion: Tension

Empathy
Sadness
Humor
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 dips around 18 %, then peaks around 88 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityEmpathySadnessHumor
2.5 %≈ 2′Humor47 %30 %22 %47 %
7.5 %≈ 7′Humor49 %30 %23 %49 %
12.5 %≈ 11′Humor49 %32 %25 %48 %
17.5 %≈ 16′Humor46 %35 %29 %43 %
22.5 %≈ 20′Humor49 %33 %25 %45 %
27.5 %≈ 25′Humor55 %34 %21 %53 %
32.5 %≈ 30′Humor56 %38 %24 %53 %
37.5 %≈ 34′Humor53 %33 %20 %49 %
42.5 %≈ 39′Humor49 %31 %20 %45 %
47.5 %≈ 43′Sadness49 %39 %28 %41 %
52.5 %≈ 48′Hope56 %49 %38 %36 %
57.5 %≈ 52′Sadness65 %54 %44 %36 %
62.5 %≈ 57′Humor65 %43 %28 %49 %
67.5 %≈ 61′Humor65 %39 %24 %48 %
72.5 %≈ 66′Sadness70 %55 %50 %26 %
77.5 %≈ 71′Sadness71 %64 %60 %16 %
82.5 %≈ 75′Tension73 %65 %59 %19 %
87.5 %≈ 80′Sadness76 %70 %68 %23 %
92.5 %≈ 84′Sadness70 %64 %60 %21 %
97.5 %≈ 89′Hope60 %52 %43 %13 %
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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Cast

GG
Grace Gummer

Megan

JB
John Behlmann

Owen

Kevin Dunn

Gary Rollins

Debra Monk

Jeanie Rollins

CM
Caitlin McGee

Taylor

LO
Leonard Ouzts

Murph

NJ
Nathan James

Xavier

HJ
Hassan Johnson

Aaron

NS
Nik Sadhnani

Sonjay

KR
Kelsey Reinhardt

Becca

CH
Charlie Hankin

Clyde

TS
Tami Sagher

Rose

MS
Marilyn Seide

Nana Marie

MC
Mike Carlsen

Tony

Details

Directed by
Matt Ratner
Written by
Peter Hoare, Peter Hoare
Type
Movies
Released
2019
Runtime
91 min
Country
United States
Genres
Comedy, Drama
Ratings
★ IMDb 6.6 · 2,861 ratings
Feels mostly
Humor
Data updated

Where to watch

Data: JustWatch · Wikidata

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