The Dark Corner

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Summary: A secretary tries to help her boss who's been framed for murder.

Release Date: May 08, 1946

Genres: Drama, Crime, Film-Noir

Director: Henry Hathaway

Writers: Jay Dratler

, Bernard C. Schoenfeld

, Leo Rosten

Runtime: 1 h 39 min

MPAA: Approved

Production: Twentieth Century Fox

Distributor: Twentieth Century Fox, National Telefilm Associates (NTA)

Country: United States

Language: English

Domestic: $ 1,000,000

Box office:

Domestic:$1MWorldwide:$1M

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39%0%

39% of the Stars & Main Cast are Female.

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

White100%

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CONTENT BREAKDOWN

Methodology

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Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

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Production:

Representation

Star

Supporting

Other

Production

Race	White	Jewish	Arab	Total	Visuals	Info
Kairos	9			9		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	5		1	6
Ethnic		1		1		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/
Familysearch	1			1
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/
Bettaface	1			1		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.betafaceapi.com/demo_old.html
Total	17	1	1	19
Cast Percentages	89.47%	5.26%	5.26%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":89.47,"color":"#2b908f","sliced":true,"selected":true},{"name":"Jewish","y":5.26,"color":"#ff0066","sliced":true,"selected":true},{"name":"Arab","y":5.26,"color":"#DF5353","sliced":true,"selected":true}],"prefix":""}
U.S. Population (1940) Percentage	89.8%	3%			{"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	-0.33	+2.26			{"name":"U.S. Population (1940)","series":[["White",89.8],["Jewish",3],["Arab",0]],"cast":[{"name":"White","y":89.47,"color":"#2b908f"},{"name":"Jewish","y":5.26,"color":"#ff0066"},{"name":"Arab","y":5.26,"color":"#DF5353"}]}
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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2000) Representation	+8.22				{"name":"U.S. Buying Power (2000)","series":[["White",81.25],["Jewish",0],["Arab",0]],"cast":[{"name":"White","y":89.47,"color":"#2b908f"},{"name":"Jewish","y":5.26,"color":"#ff0066"},{"name":"Arab","y":5.26,"color":"#DF5353"}]}
U.S. Average Individual Income (2018) Percentage	92.1%				{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":10105392917246,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":23717233578,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":742464934266,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":24223113823,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":75881820000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":0,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	-2.63				{"name":"U.S. Average Individual Income (2018)","series":[["White",92.1],["Jewish",0],["Arab",0]],"cast":[{"name":"White","y":89.47,"color":"#2b908f"},{"name":"Jewish","y":5.26,"color":"#ff0066"},{"name":"Arab","y":5.26,"color":"#DF5353"}]}
World population (1960) Percentage	24.26%	0.39%	5.49%		{"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	+65.21	+4.87	-0.23		{"name":"World population (1960) ","series":[["White",24.26],["Jewish",0.39],["Arab",5.49]],"cast":[{"name":"White","y":89.47,"color":"#2b908f"},{"name":"Jewish","y":5.26,"color":"#ff0066"},{"name":"Arab","y":5.26,"color":"#DF5353"}]}
World Buying Power Percentage	36.48%	1.11%	6.38%		{"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	+52.99	+4.15	-1.12		{"name":"World Buying Power","series":[["White",36.48],["Jewish",1.11],["Arab",6.38]],"cast":[{"name":"White","y":89.47,"color":"#2b908f"},{"name":"Jewish","y":5.26,"color":"#ff0066"},{"name":"Arab","y":5.26,"color":"#DF5353"}]}
Notes		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.	Arab Americans are less than 1% of the US population and often check "White" or "Other" on the US Census. And the only data available for them started when the US Census added ancestry in 1980. So assume a less than 1% margin of error and overlap with the "White" and "Other" categories.

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The Dark Corner

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