Swan Song

Summary: In the near future, a terminally ill man explores a heart wrenching, emotionally complex solution to save his wife and son from grief by duplicating himself without them knowing.

Release Date: December 17, 2021

Genres: Drama, Romance, Sci-Fi

Director: Benjamin Cleary

Writer: Benjamin Cleary

Runtime: 1 h 56 min

MPAA: 14A

Production: Anonymous Content, Apple, Concordia Studio, Know Wonder

Distributor: Apple TV+

Country: United States

Language: English

N/A

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39%67%

39% of the Stars & Main Cast are Female.

67% of the Stars & Main Cast are "diverse."

Black33.33%White26.67%Asian20%Latino6.67%Jewish6.67%Mixed / Other6.67%

N/A

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Race	Black	White	Asian	Latino	Mixed / Other	Jewish	Total	Visuals	Info
Ethnic	3	1	1		1		6		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/
Kairos	1	2	1	1			5		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
Surname	1	1				1	3		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/
Familysearch			1	1			2
Forebears				1			1
Total	5	4	3	3	1	1	17
Cast Percentages	29.41%	23.53%	17.65%	17.65%	5.88%	5.88%	100%	{"name":"Cast Percentages","series":[{"name":"Black","y":29.41,"color":"#f45b5b","sliced":true,"selected":true},{"name":"White","y":23.53,"color":"#2b908f","sliced":true,"selected":true},{"name":"Asian","y":17.65,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Latino","y":17.65,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":5.88,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":5.88,"color":"#ff0066","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2020) Percentage	12.4%	57.84%	6%	18.73%	9.32%	2.02%		{"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	+17.01	-34.31	+11.65	-1.08	-3.44	+3.86		{"name":"U.S. Population (2020)","series":[["Black",12.4],["White",57.84],["Asian",6],["Latino",18.73],["Mixed \/ Other",9.32],["Jewish",2.02]],"cast":[{"name":"Black","y":29.41,"color":"#f45b5b"},{"name":"White","y":23.53,"color":"#2b908f"},{"name":"Asian","y":17.65,"color":"#90ee7e"},{"name":"Latino","y":17.65,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":5.88,"color":"#55BF3B"},{"name":"Jewish","y":5.88,"color":"#ff0066"}]}
U.S. Buying Power (2023) Percentage	8.02%	72.69%	6.97%	10.06%	1.54%			{"name":"U.S. Buying Power (2023)","series":[{"name":"White","y":13897000000000,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1333100000000,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1533100000000,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":136400000000,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1924000000000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":295300000000,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2023) Representation	+21.39	-49.16	+10.68	+7.59	+4.34			{"name":"U.S. Buying Power (2023)","series":[["Black",8.02],["White",72.69],["Asian",6.97],["Latino",10.06],["Mixed \/ Other",1.54],["Jewish",0]],"cast":[{"name":"Black","y":29.41,"color":"#f45b5b"},{"name":"White","y":23.53,"color":"#2b908f"},{"name":"Asian","y":17.65,"color":"#90ee7e"},{"name":"Latino","y":17.65,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":5.88,"color":"#55BF3B"},{"name":"Jewish","y":5.88,"color":"#ff0066"}]}
U.S. Average Individual Income (2018) Percentage	9.43%	65.34%	7.52%	9.51%	7.28%			{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11825174998483,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1360705388565,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1706765993728,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":164296821776,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1721419354421,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":1318328353188,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+19.98	-41.81	+10.13	+8.14	-1.4			{"name":"U.S. Average Individual Income (2018)","series":[["Black",9.43],["White",65.34],["Asian",7.52],["Latino",9.51],["Mixed \/ Other",7.28],["Jewish",0]],"cast":[{"name":"Black","y":29.41,"color":"#f45b5b"},{"name":"White","y":23.53,"color":"#2b908f"},{"name":"Asian","y":17.65,"color":"#90ee7e"},{"name":"Latino","y":17.65,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":5.88,"color":"#55BF3B"},{"name":"Jewish","y":5.88,"color":"#ff0066"}]}
World population (2019) Percentage	14.47%	14.24%	31.25%	5.62%	1.92%	0.34%		{"name":"World population (2019) ","series":[{"name":"Mixed \/ Other","y":14688882870,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":42991259469,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":10971786583,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":108889096410,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":110601821551,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":238860161621,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":67406299429,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":167470202093,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":2568698093,"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 (2019) Representation	+14.94	+9.29	-13.6	+12.03	+3.96	+5.54		{"name":"World population (2019) ","series":[["Black",14.47],["White",14.24],["Asian",31.25],["Latino",5.62],["Mixed \/ Other",1.92],["Jewish",0.34]],"cast":[{"name":"Black","y":29.41,"color":"#f45b5b"},{"name":"White","y":23.53,"color":"#2b908f"},{"name":"Asian","y":17.65,"color":"#90ee7e"},{"name":"Latino","y":17.65,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":5.88,"color":"#55BF3B"},{"name":"Jewish","y":5.88,"color":"#ff0066"}]}
World Buying Power Percentage	6.38%	36.48%	29.46%	9.35%	1.81%	1.11%		{"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	+23.03	-12.95	-11.81	+8.3	+4.07	+4.77		{"name":"World Buying Power","series":[["Black",6.38],["White",36.48],["Asian",29.46],["Latino",9.35],["Mixed \/ Other",1.81],["Jewish",1.11]],"cast":[{"name":"Black","y":29.41,"color":"#f45b5b"},{"name":"White","y":23.53,"color":"#2b908f"},{"name":"Asian","y":17.65,"color":"#90ee7e"},{"name":"Latino","y":17.65,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":5.88,"color":"#55BF3B"},{"name":"Jewish","y":5.88,"color":"#ff0066"}]}
Notes			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.	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 "Mixed / Other" categories overlap, and the 2 or more category was not an option until the 2000 Census. So for the combined column, all data will be taken from the "Other" column except for 2000, 2010, & 2020. For those, the average between the "2 or More Races" and "Some Other Race" will be used.	If there were any inconsistencies with percentages calculated using our Census data, the Jewish Data Bank percentages were the ones used. Also please review the Jewish Data Bank pdf to understand the difference between the "Core" Jewish population and the "Extended" / "Law of Return" Jewish populations. We are displaying the "Core" Jewish populations since that is what the Jewish Data Bank and Wikipedia articles chose. Also, the 1942 population estimates were used for the 1940 row. For the 2000 estimates, the "Core" definition was not used, so we used the 5.2 mil broader estimate instead of the 4.3 mil estimate since the 5.2 broader estimate seemed too drastic of a drop and the definitions weren't congruent with Core and Law of Return.

man sacrifice son wife

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Box office:

Budget:$21MDomestic:$126.8MInternational:$101.1MWorldwide:$227.9M

Box office International:

Source: The Numbers

Possible Big Business:

Production:

TriStar Pictures

RottenTomatoes:

75%75%

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

Metacritic Meta:

72/100

Metacritic User:

70/100

50%6%

50% of the Stars & Main Cast are Female.

6% of the Stars & Main Cast are "diverse."

White88.89%Black5.56%Jewish5.56%

2.00

Possibly woke elements:

triple f rated,f rated

BechdeltestTalk about a man

Commonsensemedia

Message3/5
Role model4/5
Sex2/5
Language2/5
Drugs1/5

This film gets a 2.00/5 family friendly score

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CONTENT BREAKDOWN

Methodology

RottenTomatoes:

75%75%

Douban:

Eiga:

IMDb:

Kinopoisk:

Metacritic:

Metacritic User:

OFDb:

Wokeness

Thecherrypicks:

Methodology

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Call Me by Your Name (2017)

Summary: It's the summer of 1983, and 17-year-old Elio is spending the days with his family at their villa in Lombardy, Italy. He soon meets Oliver, who's working as an intern for Elio's father. They discover the heady beauty of awakening ...

Release Date: January 18, 2018

Genres: Drama, Romance

Director: Luca Guadagnino

Writers: James Ivory

, André Aciman

Runtime: 2 h 12 min

MPAA: 14A

Production: Frenesy Film Company, La Cinéfacture, RT Features, Ministero dei Beni e delle Attività Culturali e del Turismo (MiBACT), Lombardia Film Commission

Distributor: Sony Pictures Classics, Sony Pictures Releasing

Countries: Brazil, France, Italy, United States

Language: English

Movie budget: $ 4,000,000

Domestic: $ 18,095,701

International: $ 25,272,902

Box office:

Budget:$4MDomestic:$18.1MInternational:$25.3MWorldwide:$43.4M

Box office International:

Source: The Numbers

Adaptation/remake:

based on novel

-8%

The Rotten Tomatoes audience rated this -8% lower than the critics.

94%86%

The Metacritic audience rated this 6% higher than the critics.

Metacritic Meta:

81/100

Metacritic User:

87/100

47%21%

47% of the Stars & Main Cast are Female.

21% of the Stars & Main Cast are "diverse."

White57.14%Jewish21.43%Mixed / Other14.29%Latino7.14%

0.95

LGBTQ content included:

LGB:

gay boy, gay son, gay, homosexual, gay kiss, gay crush, gay character, gay relationship, homosexuality, gay sex, closeted gay, gay couple, lgbt, bisexual, gay romance, male male kiss, homoeroticism, gay protagonist, gay jew, gay love, gay shame, boyfriend boyfriend relationship

QTIA+:

queer, gay teenager, gay virgin, first gay sexual experience, queer cinema, gay kid, lgbt cinema, sex with fruit, sex with food, gay youth, gay student, age discordant relationship

BechdeltestPassed!

Commonsensemedia

Message3/5
Role model3/5
Sex4/5
Language3/5
Drugs3/5

This film gets a 0.95/5 family friendly score

Please help improve our site and

add a Family Friendly Rating.

CONTENT BREAKDOWN

Methodology

RottenTomatoes:

94%86%

ZR Audience:

Douban:

Eiga:

IMDb:

Kinopoisk:

Metacritic:

Metacritic User:

OFDb:

Wokeness

Mediaversity:

Methodology

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Firestarter (2022)

Summary: A young girl tries to understand how she mysteriously gained the power to set things on fire with her mind.

Release Date: May 12, 2022

Genres: Drama, Horror, Sci-Fi

Director: Keith Thomas

Writers: Scott Teems

, Stephen King

Runtime: 1 h 34 min

MPAA: R

Production: Blumhouse Productions, Angry Adam Productions, Night Platform, Universal Pictures, Weed Road Pictures

Distributor: Universal Pictures

Country: United States

Language: English

Movie budget: $ 12,000,000

Domestic: $ 9,739,250

International: $ 5,300,000

Box office:

Budget:$12MDomestic:$9.7MInternational:$5.3MWorldwide:$15M

Possible lazy cash grab:

reboot

Adaptation/remake:

based on novel, based on the works of stephen king, remake

Possible Big Business:

Production:

Universal Pictures

37%

The Rotten Tomatoes audience rated this 37% higher than the critics.

10%47%

No Metacritic ratings imported yet.

50%53%

50% of the Stars & Main Cast are Female.

53% of the Stars & Main Cast are "diverse."

White41.18%Black23.53%Mixed / Other17.65%Asian11.76%Jewish5.88%

N/A

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

Methodology

RottenTomatoes:

10%47%

Douban:

Eiga:

IMDb:

Kinopoisk:

OFDb:

Wokeness

Thecherrypicks:

Methodology

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Molli and Max in the Future (2023)

Summary: A sci-fi romantic comedy about a man and woman whose orbits repeatedly collide over the course of 12 years, 4 planets, 3 dimensions, and one space-cult.

Release Date: August 24, 2023

Genres: Comedy, Romance, Sci-Fi

Director: Michael Lukk Litwak

Writer: Michael Lukk Litwak

Runtime: 1 h 33 min

Production: Whiskey Bear, Choreografx, Deverge, Senior Post, The Family

Distributor: Level 33 Entertainment

Country: United States

Language: English

N/A

No Rotten Tomatoes ratings imported yet.

No Metacritic ratings imported yet.

50%33%

50% of the Stars & Main Cast are Female.

33% of the Stars & Main Cast are "diverse."

White60%Latino13.33%Asian13.33%Black6.67%Jewish6.67%

N/A

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

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IMDb:

Moviemeter:

Methodology

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Daniela Forever (2024)

Summary: Follows a man as he joins a sleep trial that allows him to rebuild his life with his girlfriend who died in an accident through the use of lucid dreams.

Genres: Drama, Romance, Sci-Fi

Director: Nacho Vigalondo

Writer: Nacho Vigalondo

Runtime: 1 h 53 min

Production: Filmin, IPR.VC, Mediacrest, Movistar Plus+, Sayaka Producciones Audiovisuales

Countries: Spain, United States, Belgium, France, Finland

Language: English

N/A

No Rotten Tomatoes ratings imported yet.

No Metacritic ratings imported yet.

64%44%

64% of the Stars & Main Cast are Female.

44% of the Stars & Main Cast are "diverse."

White55.56%Latino33.33%Mixed / Other11.11%

N/A

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

add a Family Friendly Rating.

CONTENT BREAKDOWN

Methodology

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/tt13207508/parentalguide

last updated: 1970-01-01Update data

Commonsensemedia Rating

https://www.commonsensemedia.org

last updated: neverUpdate data

Methodology

Other sources

boxofficemom.com
commonsensemedia.org
crosswalk.com

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Neo-Marxism, (sometimes referred to as "Cultural Marxism"), rates the amount of fanatic egalitarianism in a film. Consider this mainly a rating for anti-nationalist and anti-capitalist themes.

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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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Critic Reviews:

Sonny Bunch

Dec 31st 2021

Swan Song, 2021 - ★★★½

It's good, not great, but Mahershala Ali absolutely magnetic. Full review here.

Thinking Critical

Oct 7th 2021

Amazing Spider-Man #75 Ushers In Beyond Era & Ben Reilly

Total found: 2. Show in Search

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Critic Reviews:

Swan Song, 2021 - ★★★½

Amazing Spider-Man #75 Ushers In Beyond Era & Ben Reilly

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