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Real Murders: An Aurora Teagarden Mystery

2015 · 84 min · Director: Martin Wood ★ IMDb 6.8 · 2,748 ratings

Show plot summary (may contain spoilers)

The latest meeting of Lawrenceton librarian Aurora "Ro" Teagarden's real murders discussion club - where fellow member and Ro's best friend, newspaper reporter Sally Allison, had arranged for new Lawrenceton resident, Ro's favorite current mystery novelist and temporary university professor, Robin Daniels, to speak - is canceled after one of the club members is found bludgeoned to death in his/her home. The case is being led by Homicide Detective Lynn Liggett-Smith, the husband of fellow detective, and Ro's ex-boyfriend and ex-club member, Arthur Smith. There is no love lost between Lynn and Ro because of Ro's amateur sleuthing in past murder cases in town. Because of a telephone call to the meeting venue earlier in the evening referring to the Julia Wallace murder, the initial thought by Ro based on this circumstantial evidence is that the murderer is one of the club members. Julia Wallace's unsolved murder from 1934, the case which only the club members would have known was going to be discussed at the meeting, mimics this murder. Robin's coincidental arrival onto the scene and his seeming inability or non-want to provide an alibi for the time of the murder also places him on the suspect list. As the detectives, Ro and the club members investigate, other club members and their loved ones are targeted by the murderer, each attempt mimicking a case previously discussed by the club. Ro systematically tries to discover who the next victim or victims will be both to prevent the attempts from succeeding and discover the identity of the murderer. She also has to decide whether to trust Robin, the two who are beginning to have feelings for each other.

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Emotional fingerprint

Real Murders: An Aurora Teagarden Mystery (2015) — Movie. Top emotional signals: Curiosity 30%, Anticipation 25%, Tension 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 Curiosity, Anticipation, Tension. Genres: Drama, Mystery, Crime. AI estimate.

Is it worth watching?

Consider this title if you are looking for Curiosity, Anticipation and Tension. Its IMDb rating of 6.8/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 68/100.

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Emotional journey

AI · from subtitles
  • Curiosity
  • Tension
  • Relief

Not enough subtitle evidence

No dominant emotion

Dominant emotion: Humor

Dominant emotion: Curiosity

Dominant emotion: Tension

Dominant emotion: Relief

Curiosity
Tension
Relief
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 53 %, then peaks around 93 %.Ending hidden

Emotional journey
%Approximate minuteDominant emotionOverall intensityCuriosityTensionRelief
2.5 %≈ 2′Humor48 %33 %40 %0 %
7.5 %≈ 6′Curiosity50 %48 %43 %0 %
12.5 %≈ 11′Curiosity54 %60 %45 %0 %
17.5 %≈ 15′Curiosity50 %56 %36 %0 %
22.5 %≈ 19′Curiosity48 %49 %31 %3 %
27.5 %≈ 23′Curiosity53 %53 %43 %9 %
32.5 %≈ 27′Curiosity53 %54 %48 %10 %
37.5 %≈ 32′Tension53 %51 %48 %4 %
42.5 %≈ 36′Curiosity55 %58 %49 %9 %
47.5 %≈ 40′Curiosity50 %55 %43 %23 %
52.5 %≈ 44′Curiosity43 %45 %33 %23 %
57.5 %≈ 48′Curiosity43 %48 %30 %13 %
62.5 %≈ 53′Curiosity52 %50 %45 %14 %
67.5 %≈ 57′Tension60 %48 %55 %28 %
72.5 %≈ 61′Curiosity57 %55 %49 %25 %
77.5 %≈ 65′Curiosity60 %66 %54 %8 %
82.5 %≈ 69′Curiosity70 %69 %69 %0 %
87.5 %≈ 74′Tension80 %61 %80 %0 %
92.5 %≈ 78′Tension84 %44 %80 %19 %
97.5 %≈ 82′Relief80 %28 %70 %50 %
Icarus

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

Candace Cameron Bure

Aurora Teagarden

Marilu Henner

Aida Teagarden

BD
Bruce Dawson

John Queensland

PB
Peter Benson

Det. Arthur Smith

RD
Robin Dunne

Robin Daniels

MF
Miranda Frigon

Det. Lynn Liggett Smith

DI
David Ingram

Macon Turner

CM
Craig March

Captain Fred Burns

BH
Brad Harder

Officer Heard

JC
Julian Christopher

Lemaster

Details

Directed by
Martin Wood
Type
Movies
Released
2015
Runtime
84 min
Country
Canada, United States
Ratings
★ IMDb 6.8 · 2,748 ratings
Feels mostly
Curiosity
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.