After

Summary: A story centered around the Valentinos, a struggling family whose delicate balance is threatened by a carefully concealed secret that, if revealed, will change their lives forever.

Release Date: August 08, 2014

Genres: Drama, Mystery

Director: Pieter Gaspersz

Writer: Sabrina Gennarino

Runtime: 1 h 39 min

MPAA: R

Production: Girl's Gotta Eat Entertainment

Distributor: Accretion Films, Paladin, Virgil Films & Entertainment

Country: United States

Language: English

Domestic: $ 24,544

Box office:

Domestic:$24.5KWorldwide:$24.5K

56%

The Rotten Tomatoes audience rated this 56% higher than the critics.

9%65%

The average Metacritic score is 25%.

Metacritic Meta:

25/100

39%19%

39% of the Stars & Main Cast are Female.

19% of the Stars & Main Cast are "diverse."

White81.25%Black12.5%Latino6.25%

N/A

Possibly woke elements:

prejudice,racism,civil rights

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

Methodology

RottenTomatoes:

9%65%

IMDb:

Metacritic:

OFDb:

Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

Other cast:

Production:

Representation

Star

Supporting

Other

Production

Race	White	Total	Visuals	Info
Forebears	11	11
Kairos	6	6		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		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	18	18
Cast Percentages	100%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":100,"color":"#2b908f","sliced":true,"selected":true}],"prefix":""}
U.S. Population (1940) Percentage	89.8%		{"name":"U.S. Population (1940)","series":[{"name":"White","y":89.8,"color":"#2b908f"},{"name":"Arab","y":0,"color":"#DF5353"},{"name":"Asian","y":0.19,"color":"#90ee7e"},{"name":"Black","y":9.8,"color":"#f45b5b"},{"name":"Indian","y":0,"color":"#7798BF"},{"name":"Indigenous","y":0.3,"color":"#aaeeee"},{"name":"Latino","y":1.5,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":0,"color":"#55BF3B"},{"name":"Jewish","y":3,"color":"#ff0066"}],"prefix":""}	Source: US Census (Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (1940) Representation	+10.2		{"name":"U.S. Population (1940)","series":[["White",89.8]],"cast":[{"name":"White","y":100,"color":"#2b908f"}]}
U.S. Buying Power (2000) Percentage	81.25%		{"name":"U.S. Buying Power (2000)","series":[{"name":"White","y":6413300000000,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":276400000000,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":609100000000,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":40300000000,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":494000000000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":60300000000,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2000) Representation	+18.75		{"name":"U.S. Buying Power (2000)","series":[["White",81.25]],"cast":[{"name":"White","y":100,"color":"#2b908f"}]}
U.S. Average Individual Income (2018) Percentage	92.1%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":10105392917246,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":23717233578,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":742464934266,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":24223113823,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":75881820000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":0,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+7.9		{"name":"U.S. Average Individual Income (2018)","series":[["White",92.1]],"cast":[{"name":"White","y":100,"color":"#2b908f"}]}
World population (1960) Percentage	24.26%		{"name":"World population (1960) ","series":[{"name":"Mixed \/ Other","y":5505891663,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":16303932915,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":3319084808,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":73088413576,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":26323680328,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":105885338709,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":16554213546,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":53158782795,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":1167943535,"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 (1960) Representation	+75.74		{"name":"World population (1960) ","series":[["White",24.26]],"cast":[{"name":"White","y":100,"color":"#2b908f"}]}
World Buying Power Percentage	36.48%		{"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	+63.52		{"name":"World Buying Power","series":[["White",36.48]],"cast":[{"name":"White","y":100,"color":"#2b908f"}]}
Notes

Tags / Keywords

advertising agency african american alcohol all nighter anger apartment artistic flair bail bank loan bankruptcy bar bar fight bartender beer big family birthday party bitterness black man bridesmaid brother brother relationship building contractor building site business business competitor business deal catatonic state cell phone cigar smoking civil rights co signer comic relief confusion cover up cross cultural relationship crying dancing death dining room engagement ring ethnic pride evil extended family failure family argument family business family dinner family home family relationships father daughter relationship father of the bride father son bonding father son relationship female protagonist fistfight forklift friendship friendship between women future son in law gardening gift girlfriend grandchild grief homemaker homophobic slur human fallibility husband wife relationship independent film intoxication italian american jail kinship kitchen large family large screen tv layoff living room loading dock loan officer loss loss of daughter love making money manhattan new york city marriage proposal memory mixed marriage mother daughter relationship mugging new york city notary one night stand pain pittsford new york post office prejudice problem child purse racism rant recession restaurant revelation ride home rochester new york sadness scream screaming secret shock single friend sister in law snow stock footage stonemason survivor guilt survivor's guilt tattoo tattoo parlor telephone call vandalism videotape violence voice mail wedding wedding dress wedding invitation wedding reception winter working class

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