Bellevue

Summary: Thrilling and eerie, Bellevue is a mystery set in a small blue-collar town with a lot of 'good people' who 'live right' and take it upon themselves to make sure the neighbors do too.

Release Date: February 20, 2017

Genres: Drama, Thriller, Mystery

Runtime: 0 h 44 min

MPAA: 14+

Production: Back Alley Film Productions, Canadian Broadcasting Corporation (CBC), Muse Entertainment Enterprises

Country: Canada

Language: English

-12%

The Rotten Tomatoes audience rated this -12% lower than the critics.

83%71%

The Metacritic audience rated this -2% lower than the critics.

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66/100

Metacritic User:

64/100

50%7%

50% of the Stars & Main Cast are Female.

7% of the Stars & Main Cast are "diverse."

White93.33%Asian6.67%

N/A

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Race	White	Indian	Latino	Asian	Total	Visuals	Info
Kairos	11			1	12		A third party facial recognition software company we used to maintain objectivity. Upload images to the facial recognition demo page to check the veracity of our data set. Or use their API and do a bulk peer review if you'd like. Source: https://www.kairos.com/demos
Forebears	1	1	1		3
Ethnic	2				2		This is the most reliable data source for accurate ethnic breakdowns of famous people. Often the information is crowdsourced by users and they cite all their sources (family trees, obituaries, census archives, etc.) on the bottom of the page. The only issue is converting their ambiguous and inconsistent verdicts into quantifiable variables. Source: https://ethnicelebs.com/
Surname	1				1		A third party free program that uses US Census data to create an algorithm that analyzes surnames and guesses what ethnicity the person is. Obviously there are issues with this data set such as African Americans who have the last names of their ancestors' slave owner. However, when no other data set is available, this can give a rough estimate and expand the data pool for the less important cast members with no IMDb or TMDb image. Please consider downloading their source code via GitHub to verify the accuracy of our data set, and to peer review our conclusions. Source: https://pypi.org/project/ethnicolr/
Total	15	1	1	1	18
Cast Percentages	83.33%	5.56%	5.56%	5.56%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":83.33,"color":"#2b908f","sliced":true,"selected":true},{"name":"Indian","y":5.56,"color":"#7798BF","sliced":true,"selected":true},{"name":"Latino","y":5.56,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Asian","y":5.56,"color":"#90ee7e","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2020) Percentage	57.84%	1.35%	18.73%	6%		{"name":"U.S. Population (2020)","series":[{"name":"White","y":57.84,"color":"#2b908f"},{"name":"Arab","y":0.54,"color":"#DF5353"},{"name":"Asian","y":6,"color":"#90ee7e"},{"name":"Black","y":12.4,"color":"#f45b5b"},{"name":"Indian","y":1.35,"color":"#7798BF"},{"name":"Indigenous","y":1.12,"color":"#aaeeee"},{"name":"Latino","y":18.73,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":9.32,"color":"#55BF3B"},{"name":"Jewish","y":2.02,"color":"#ff0066"}],"prefix":""}	Source: US Census (Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (2020) Representation	+25.49	+4.21	-13.17	-0.44		{"name":"U.S. Population (2020)","series":[["White",57.84],["Indian",1.35],["Latino",18.73],["Asian",6]],"cast":[{"name":"White","y":83.33,"color":"#2b908f"},{"name":"Indian","y":5.56,"color":"#7798BF"},{"name":"Latino","y":5.56,"color":"#eeaaee"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
U.S. Buying Power (2018) Percentage	74.35%		9.42%	6.2%		{"name":"U.S. Buying Power (2018)","series":[{"name":"White","y":12147700000000,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1013300000000,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1300200000000,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":114600000000,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1539000000000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":224700000000,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2018) Representation	+8.98		-3.86	-0.64		{"name":"U.S. Buying Power (2018)","series":[["White",74.35],["Indian",0],["Latino",9.42],["Asian",6.2]],"cast":[{"name":"White","y":83.33,"color":"#2b908f"},{"name":"Indian","y":5.56,"color":"#7798BF"},{"name":"Latino","y":5.56,"color":"#eeaaee"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
U.S. Average Individual Income (2018) Percentage	65.34%		9.51%	7.52%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11707946793024,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1347216112434,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1689846065304,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":162668074499,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1704354160732,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":1305259179406,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+17.99		-3.95	-1.96		{"name":"U.S. Average Individual Income (2018)","series":[["White",65.34],["Indian",0],["Latino",9.51],["Asian",7.52]],"cast":[{"name":"White","y":83.33,"color":"#2b908f"},{"name":"Indian","y":5.56,"color":"#7798BF"},{"name":"Latino","y":5.56,"color":"#eeaaee"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
World population (2017) Percentage	14.45%	21.89%	5.64%	31.56%		{"name":"World population (2017) ","series":[{"name":"Mixed \/ Other","y":14282779183,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":42184935374,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":10701501460,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":108121502769,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":105359943498,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":236062310750,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":65008081552,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":163777338052,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":2515958788,"color":"#ff0066","sliced":true,"selected":true}],"prefix":""}	NOTE: ZR is the first organization to ever create a global buying power divided by race. Essentially we just took data from CIA.gov FactBook, UN Population Estimates, and The World Bank's Population Estimates / Purchasing Power Parity Per Capita.
World population (2017) Representation	+68.88	-16.33	-0.08	-26		{"name":"World population (2017) ","series":[["White",14.45],["Indian",21.89],["Latino",5.64],["Asian",31.56]],"cast":[{"name":"White","y":83.33,"color":"#2b908f"},{"name":"Indian","y":5.56,"color":"#7798BF"},{"name":"Latino","y":5.56,"color":"#eeaaee"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
World Buying Power Percentage	36.48%	6.94%	9.35%	29.46%		{"name":"World Buying Power","series":[{"name":"White","y":3010602822170000,"color":"#2b908f","sliced":true,"selected":true},{"name":"Latino","y":771525888400000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Jewish","y":91700962050000,"color":"#ff0066","sliced":true,"selected":true},{"name":"Black","y":526264226360000,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indigenous","y":174285727610000,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":148984454560000,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Arab","y":526400066100000,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":2431392083750000,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Indian","y":572687873900000,"color":"#7798BF","sliced":true,"selected":true}],"prefix":"$"}	NOTE: ZR is the first organization to ever create a global buying power divided by race. Essentially we just took data from CIA.gov FactBook, UN Population Estimates, and The World Bank's Population Estimates / Purchasing Power Parity Per Capita.
World Buying Power Representation	+46.85	-1.38	-3.79	-23.9		{"name":"World Buying Power","series":[["White",36.48],["Indian",6.94],["Latino",9.35],["Asian",29.46]],"cast":[{"name":"White","y":83.33,"color":"#2b908f"},{"name":"Indian","y":5.56,"color":"#7798BF"},{"name":"Latino","y":5.56,"color":"#eeaaee"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
Notes			Many Latinos check "White" or "Other" on the Census. So this overlaps with "Mixed" race and "White." Also, when there was a discrepancy with the percentage listed on the Wikipedia table and our calculated numbers, the Wiki table's numbers were used. Likewise, when the population total was missing from the Census pdf, the estimate was calculated using the percentage from the Wiki table. NOTE: It turns out that the reason America doesn't have a separate "Latino" race is because the League of Latin American Citizens protested against discrimination towards Mexicans and got themselves to legally be considered "White." Check the research links in our Google Doc for more info.	The US Census considers Pakistani, Sri Lankan, Indian, and Bangladeshi as Asians. At ZR we group Pakistanis with the Arab world. And we group Sri Lankan and Bangladeshi with India because 1.) they are all genetically similar as "South Asians and 2.) there are only a handful of actors from those regions in our database. However, you are viewing the "Asian Alone" category from the US Census when comparing it with Domestic representation. Also note that the 2000 and 2010 estimates include MultiRacial Asians not just "Asian Alone" estimates, and in some categories they include Native Hawaiians as "Asian." So there is a margin of error less than 1% and some inconsistencies with the grouping.

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The Rotten Tomatoes audience rated this -21% lower than the critics.

80%59%

The Metacritic audience rated this -2% lower than the critics.

Metacritic Meta:

63/100

Metacritic User:

61/100

50%29%

50% of the Stars & Main Cast are Female.

29% of the Stars & Main Cast are "diverse."

White58.82%Mixed / Other11.76%Black11.76%Jewish11.76%Latino5.88%

0.95

LGBTQ content included:

gay, same sex kiss, gay kiss, lesbian

Possibly woke elements:

f rated

Commonsensemedia

Message2/5
Role model3/5
Violence4/5
Sex1/5
Language4/5
Drugs3/5

This film gets a 0.95/5 family friendly score

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CONTENT BREAKDOWN

Methodology

RottenTomatoes:

80%59%

Douban:

Eiga:

IMDb:

Metacritic:

Metacritic User:

OFDb:

Wokeness

Thecherrypicks:

Methodology

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Sorry, Wrong Number (1948)

Summary: When neurotic bedridden wife Leona Stevenson overhears a murder plot on her telephone, she tries to piece the puzzle together and prevent the murder. Based on Lucille Fletcher's famous radio play.

Release Date: September 24, 1948

Genres: Drama, Mystery, Film-Noir

Director: Anatole Litvak

Writer: Lucille Fletcher

Runtime: 1 h 29 min

MPAA: Approved

Production: Hal Wallis Productions

Distributor: Paramount Home Entertainment, The Criterion Channel

Country: United States

Language: English

Box office:

Worldwide:$2K

Adaptation/remake:

based on radio play

-9%

The Rotten Tomatoes audience rated this -9% lower than the critics.

87%78%

No Metacritic ratings imported yet.

33%0%

33% of the Stars & Main Cast are Female.

0% of the Stars & Main Cast are "diverse."

White100%

N/A

Possibly woke elements:

class differences,f rated

No MPAA or IMDb parental guidance data has been imported yet.
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CONTENT BREAKDOWN

Methodology

RottenTomatoes:

87%78%

Douban:

IMDb:

Kinopoisk:

Moviemeter:

OFDb:

Methodology

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Youthful Daze (2012)

Summary: Drew Castle and his multiple personality Joshua cause chaos for a group of affluencial young adults in Calabasas, California.

Release Date: October 07, 2012

Genre: Drama

Runtime: 0 h 10 min

MPAA: Not Rated

Production: Day One Productions (II)

Country: United States

Language: English

TV Series budget: $ 400,000

Budget:$400K

N/A

No Rotten Tomatoes ratings imported yet.

No Metacritic ratings imported yet.

33%17%

33% of the Stars & Main Cast are Female.

17% of the Stars & Main Cast are "diverse."

White72.22%Jewish11.11%Mixed / Other11.11%Latino5.56%

N/A

No MPAA or IMDb parental guidance data has been imported yet.
Please help improve our site and

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CONTENT BREAKDOWN

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IMDb:

Methodology

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Total found: 20

Other sources

Parental Guide: +add

MPAA Certification

No MPAA rating found yet. Add Family Friendly Rating?

IMDb Rating

https://www.imdb.com/title/tt6082618/parentalguide

last updated: 2024-10-26Update data

Commonsensemedia Rating

https://www.commonsensemedia.org

last updated: 2024-09-27Update data

Methodology

Other sources

boxofficemom.com
commonsensemedia.org
crosswalk.com

Kinopoisk

rating: 6.3/10

MovieMeter

rating: 3/5

OFDb

rating: 5/10

douban:

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This movie is worth your time, and you should support the creators financially so we get more content like it.

Watch it AND give them money.

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The show is entertaining, but you shouldn’t reward the creators for whatever reason. Perhaps you don't want to support preachy celebs who hate their fans. Or maybe you enjoy superhero movies and nostalgia bait, but don't want to encourage Hollywood to continue making them in such a high ratio.

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Neo-Marxism

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Feminism

Strong and multidimensional female characters are fine. This is mainly referring to girlboss crap, unrealistic Mary Sue content, and/or egregious scenes of manhood being disparaged.

Affirmative Action

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