feeldb

Norman

2016 · 117 min · Director: Joseph Cedar ★ IMDb 6.1 · 6,888 ratings

Show plot summary (may contain spoilers)

Norman Oppenheimer is the President of New York based Oppenheimer Strategies. His word-of-mouth business is consulting work largely in American-Israeli business and politics, that focus due to being Jewish. Most of that work is as a fixer: doing work that others don't want to do and with which they don't want to be officially associated. In reality, Norman is a shyster, and not a very good one at that. His office is comprised of his cell phone and whatever is stuffed in his satchel which is usually slung over his shoulder as he wanders the streets. What he promises is making connections, setting up a meeting between his guy and the other guy. Generally, "his guy" is non-existent, he dropping names of people he usually doesn't know to make connections. A usual tactic he uses is to say that his deceased wife was personally connected to so-and-so, such as being a babysitter, those stories always untrue. All he needs is for one of the people that he approaches to believe a story to build that network. Not so much a story, but an act of kindness with that ulterior motive does eventually pan out as the connection of which he could have only dreamed. He is able to build off that connection to become the toast of the town, a status upon which he tries to parlay into being an even bigger fish in the pond. But the greater his exposure, the greater the potential scrutiny about him as a person, which could bring his fragile network come crumbling down around him.

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Emotional fingerprint

Norman (2016) — Movie. Top emotional signals: Confusion 30%, Anxiety 25%, Curiosity 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure

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, Anxiety, Curiosity. Genres: Thriller, Drama. AI estimate.

Is it worth watching?

Consider this title if you are looking for Confusion, Anxiety and Curiosity. Its IMDb rating of 6.1/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 63/100.

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Emotional journey

AI · from subtitles
  • Sympathy
  • Tension
  • Sadness

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Curiosity

Dominant emotion: Sympathy

Dominant emotion: Humor

Dominant emotion: Tension

Dominant emotion: Sadness

Sympathy
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. Not enough subtitle evidence
Ending hidden

Dominant emotion

Intensity dips around 8 %, then peaks around 83 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensitySympathyTensionSadness
2.5 %≈ 3′Curiosity40 %18 %30 %13 %
7.5 %≈ 9′Curiosity36 %13 %24 %6 %
12.5 %≈ 15′Curiosity39 %15 %30 %5 %
17.5 %≈ 20′Curiosity44 %26 %39 %13 %
22.5 %≈ 26′Sympathy45 %38 %35 %24 %
27.5 %≈ 32′Sympathy46 %39 %25 %25 %
32.5 %≈ 38′Curiosity46 %27 %20 %13 %
37.5 %≈ 44′Curiosity45 %21 %21 %8 %
42.5 %≈ 50′Humor45 %23 %25 %10 %
47.5 %≈ 56′Curiosity48 %24 %36 %10 %
52.5 %≈ 61′Tension54 %35 %46 %16 %
57.5 %≈ 67′Sympathy59 %48 %49 %28 %
62.5 %≈ 73′Tension64 %46 %59 %31 %
67.5 %≈ 79′Tension69 %46 %68 %31 %
72.5 %≈ 85′Sympathy72 %56 %70 %36 %
77.5 %≈ 91′Tension77 %66 %73 %46 %
82.5 %≈ 97′Sympathy80 %74 %68 %60 %
87.5 %≈ 102′Sympathy76 %71 %51 %65 %
92.5 %≈ 108′Sadness70 %60 %33 %60 %
97.5 %≈ 114′Not enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidenceNot enough subtitle evidence
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

Michael Sheen

Philip Cohen

Dan Stevens

Bill Kavish

JA
Jonathan Avigdori

Lior Keshet

Steve Buscemi

Rabbi Blumenthal

YA
Yehuda Almagor

Duby

Hank Azaria

Srul Katz

Harris Yulin

Jo Wilf

NM
Nurit Monacelli

Rita

NR
Neta Riskin

DG
Doval'e Glickman

TS
Tali Sharon

DA
D.C. Anderson

AC
Andrea Cirie

Details

Directed by
Joseph Cedar
Written by
Joseph Cedar
Type
Movies
Released
2016
Runtime
117 min
Country
Israel, United States
Ratings
★ IMDb 6.1 · 6,888 ratings
Feels mostly
Confusion
Data updated

Where to watch

Also on

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Data: JustWatch · Wikidata

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