Catch 21

Summary: A black-jack style game show in which contestants answer trivia questions in order to build playing card amounts as close as possible to 21.

Release Date: July 21, 2008

Genre: Game-Show

MPAA: TV-G

Production: Merrill Heatter Productions, Scott Sternberg Productions

Country: United States

Language: English

N/A

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78%29%

78% of the Stars & Main Cast are Female.

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

White64.71%Black17.65%Mixed / Other11.76%Jewish5.88%

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CONTENT BREAKDOWN

Methodology

IMDb:

Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

Other cast:

Production:

Representation

Star

Supporting

Other

Production

Race	White	Jewish	Latino	Mixed / Other	Black	Total	Visuals	Info
Ethnic	4	2		1	1	8		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	7		1			8		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			2			2
Crowd		1				1		This is the crowdsourced dataset created by users like you! We greatly appreciate your cooperation in making ZR the most accurate and massive database on the internet. Sometimes the verdicts are submitted by looks alone, sometimes users attach an image and a source link. Due to this inconsistency please take the results with a grain of salt and click each actor for more info.
Total	11	3	3	1	1	19
Cast Percentages	57.89%	15.79%	15.79%	5.26%	5.26%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":57.89,"color":"#2b908f","sliced":true,"selected":true},{"name":"Jewish","y":15.79,"color":"#ff0066","sliced":true,"selected":true},{"name":"Latino","y":15.79,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":5.26,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Black","y":5.26,"color":"#f45b5b","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2020) Percentage	57.84%	2.02%	18.73%	9.32%	12.4%		{"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	+0.05	+13.77	-2.94	-4.06	-7.14		{"name":"U.S. Population (2020)","series":[["White",57.84],["Jewish",2.02],["Latino",18.73],["Mixed \/ Other",9.32],["Black",12.4]],"cast":[{"name":"White","y":57.89,"color":"#2b908f"},{"name":"Jewish","y":15.79,"color":"#ff0066"},{"name":"Latino","y":15.79,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":5.26,"color":"#55BF3B"},{"name":"Black","y":5.26,"color":"#f45b5b"}]}
U.S. Buying Power (2018) Percentage	74.35%		9.42%	1.38%	7.96%		{"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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2018) Representation	-16.46		+6.37	+3.88	-2.7		{"name":"U.S. Buying Power (2018)","series":[["White",74.35],["Jewish",0],["Latino",9.42],["Mixed \/ Other",1.38],["Black",7.96]],"cast":[{"name":"White","y":57.89,"color":"#2b908f"},{"name":"Jewish","y":15.79,"color":"#ff0066"},{"name":"Latino","y":15.79,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":5.26,"color":"#55BF3B"},{"name":"Black","y":5.26,"color":"#f45b5b"}]}
U.S. Average Individual Income (2018) Percentage	65.34%		9.51%	7.28%	9.43%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11634301323350,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1338741837216,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1679216574979,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":161644857794,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1693633411408,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":1297048822201,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	-7.45		+6.28	-2.02	-4.17		{"name":"U.S. Average Individual Income (2018)","series":[["White",65.34],["Jewish",0],["Latino",9.51],["Mixed \/ Other",7.28],["Black",9.43]],"cast":[{"name":"White","y":57.89,"color":"#2b908f"},{"name":"Jewish","y":15.79,"color":"#ff0066"},{"name":"Latino","y":15.79,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":5.26,"color":"#55BF3B"},{"name":"Black","y":5.26,"color":"#f45b5b"}]}
World population (2016) Percentage	14.56%	0.34%	5.65%	1.9%	13.9%		{"name":"World population (2016) ","series":[{"name":"Mixed \/ Other","y":14080928408,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":41779986108,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":10563007755,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":107672581567,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":102800941644,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":234445222813,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":63813089200,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":161901582394,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":2488256092,"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 (2016) Representation	+43.33	+15.45	+10.14	+3.36	-8.64		{"name":"World population (2016) ","series":[["White",14.56],["Jewish",0.34],["Latino",5.65],["Mixed \/ Other",1.9],["Black",13.9]],"cast":[{"name":"White","y":57.89,"color":"#2b908f"},{"name":"Jewish","y":15.79,"color":"#ff0066"},{"name":"Latino","y":15.79,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":5.26,"color":"#55BF3B"},{"name":"Black","y":5.26,"color":"#f45b5b"}]}
World Buying Power Percentage	36.48%	1.11%	9.35%	1.81%	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	+21.41	+14.68	+6.44	+3.45	-1.12		{"name":"World Buying Power","series":[["White",36.48],["Jewish",1.11],["Latino",9.35],["Mixed \/ Other",1.81],["Black",6.38]],"cast":[{"name":"White","y":57.89,"color":"#2b908f"},{"name":"Jewish","y":15.79,"color":"#ff0066"},{"name":"Latino","y":15.79,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":5.26,"color":"#55BF3B"},{"name":"Black","y":5.26,"color":"#f45b5b"}]}
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.	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.

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39%6%

39% of the Stars & Main Cast are Female.

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

White88.24%Mixed / Other5.88%Jewish5.88%

N/A

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Press Your Luck (1983)

Summary: A game show where contestents answer trivia questions and then have to gamble their winnings on a randomly flashing game board.

Release Date: September 19, 1983

Genres: Family, Game-Show

Runtime: 0 h 30 min

MPAA: TV-G

Production: CBS, Carruthers Company

Country: United States

Language: English

Adaptation/remake:

remake

N/A

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28%15%

28% of the Stars & Main Cast are Female.

15% of the Stars & Main Cast are "diverse."

White76.92%Asian7.69%Black7.69%Jewish7.69%

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Hollywood Squares (1998)

Summary: Contestants guess the correctness of celebrities' answers in order to win spaces in a tic-tac-toe game.

Release Date: September 14, 1998

Genres: Comedy, Game-Show

Runtime: 0 h 30 min

MPAA: TV-PG

Production: Sony Pictures Television, Fair Dinkum Productions, Michael Levitt Productions

Country: United States

Language: English

Possible Big Business:

Production:

Sony Pictures Television

N/A

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37%16%

37% of the Stars & Main Cast are Female.

16% of the Stars & Main Cast are "diverse."

Jewish42.11%White42.11%Black15.79%

N/A

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Jeopardy! (1984)

Summary: A returning champion and two challengers test their buzzer skills and their knowledge in a wide range of academic and popular categories.

Release Date: September 10, 1984

Genre: Game-Show

Runtime: 0 h 30 min

MPAA: G

Production: Jeopardy Productions, Merv Griffin Entertainment, Columbia TriStar Television

Country: United States

Language: English

Possible Big Business:

Production:

Columbia TriStar Television

N/A

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27%24%

27% of the Stars & Main Cast are Female.

24% of the Stars & Main Cast are "diverse."

White66.67%Asian14.29%Jewish9.52%Mixed / Other4.76%Arab4.76%

N/A

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last updated: 2024-10-26Update data

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https://www.commonsensemedia.org

last updated: 2024-09-27Update data

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Neo-Marxism

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.

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Affirmative Action rates how much "diversity" is being pushed. ( Not true diversity, but the anti-White checklist kind.)

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