Beauty and the Geek

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Summary: An unscripted program that pairs MENSA-worthy "geeks" with gorgeous women.

Release Date: June 01, 2005

Genres: Romance, Reality-TV

Runtime: 1 h 00 min

MPAA: TV-PG

Production: Fox 21, 3 Ball Productions, Katalyst Films

Country: United States

Language: English

N/A

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44%6%

44% of the Stars & Main Cast are Female.

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

White94.44%Latino5.56%

N/A

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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	Asian	Latino	Black	Total	Visuals	Info
Kairos	8	1	1	1	11		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
Bettaface	2	1	1		4		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
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/
Forebears		1			1
Total	12	3	2	1	18
Cast Percentages	66.67%	16.67%	11.11%	5.56%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":66.67,"color":"#2b908f","sliced":true,"selected":true},{"name":"Asian","y":16.67,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Latino","y":11.11,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Black","y":5.56,"color":"#f45b5b","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2020) Percentage	57.84%	6%	18.73%	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	+8.83	+10.67	-7.62	-6.84		{"name":"U.S. Population (2020)","series":[["White",57.84],["Asian",6],["Latino",18.73],["Black",12.4]],"cast":[{"name":"White","y":66.67,"color":"#2b908f"},{"name":"Asian","y":16.67,"color":"#90ee7e"},{"name":"Latino","y":11.11,"color":"#eeaaee"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
U.S. Buying Power (2023) Percentage	72.69%	6.97%	10.06%	8.02%		{"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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2023) Representation	-6.02	+9.7	+1.05	-2.46		{"name":"U.S. Buying Power (2023)","series":[["White",72.69],["Asian",6.97],["Latino",10.06],["Black",8.02]],"cast":[{"name":"White","y":66.67,"color":"#2b908f"},{"name":"Asian","y":16.67,"color":"#90ee7e"},{"name":"Latino","y":11.11,"color":"#eeaaee"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
U.S. Average Individual Income (2018) Percentage	65.34%	7.52%	9.51%	9.43%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11825174998483,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1360705388565,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1706765993728,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":164296821776,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1721419354421,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":1318328353188,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+1.33	+9.15	+1.6	-3.87		{"name":"U.S. Average Individual Income (2018)","series":[["White",65.34],["Asian",7.52],["Latino",9.51],["Black",9.43]],"cast":[{"name":"White","y":66.67,"color":"#2b908f"},{"name":"Asian","y":16.67,"color":"#90ee7e"},{"name":"Latino","y":11.11,"color":"#eeaaee"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
World population (2019) Percentage	14.24%	31.25%	5.62%	14.47%		{"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	+52.43	-14.58	+5.49	-8.91		{"name":"World population (2019) ","series":[["White",14.24],["Asian",31.25],["Latino",5.62],["Black",14.47]],"cast":[{"name":"White","y":66.67,"color":"#2b908f"},{"name":"Asian","y":16.67,"color":"#90ee7e"},{"name":"Latino","y":11.11,"color":"#eeaaee"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
World Buying Power Percentage	36.48%	29.46%	9.35%	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	+30.19	-12.79	+1.76	-0.82		{"name":"World Buying Power","series":[["White",36.48],["Asian",29.46],["Latino",9.35],["Black",6.38]],"cast":[{"name":"White","y":66.67,"color":"#2b908f"},{"name":"Asian","y":16.67,"color":"#90ee7e"},{"name":"Latino","y":11.11,"color":"#eeaaee"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
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.

Tags / Keywords

beauty makeover reality tv dating and romance reality tv disney geek intelligence the cw

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50/100

50%22%

50% of the Stars & Main Cast are Female.

22% of the Stars & Main Cast are "diverse."

White77.78%Latino11.11%Asian5.56%Black5.56%

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Botched (2014)

Summary: Horrible plastic surgeries gone wrong are looked at by two of California's best plastic surgeons.

Release Date: June 24, 2014

Genre: Reality-TV

Runtime: 0 h 42 min

MPAA: TV-14

Production: Evolution Media

Country: United States

Language: English

N/A

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61%15%

61% of the Stars & Main Cast are Female.

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

White84.62%Black15.38%

N/A

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We're Here (2020)

Summary: A trio of drag queens descend upon various American towns and cities to inspire and teach their own "drag daughters" to step outside their comfort zone for a night of no-holds-barred full-on drag.

Release Date: April 23, 2020

Genre: Reality-TV

Runtime: 1 h 00 min

MPAA: TV-MA

Production: The Intellectual Property Corporation (IPC)

Language: English

N/A

The average Rotten Tomatoes audience score is 82%.

82%

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6%23%

6% of the Stars & Main Cast are Female.

23% of the Stars & Main Cast are "diverse."

White69.23%Black23.08%Jewish7.69%

N/A

LGBTQ content included:

lgbt

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Tattoo Redo (2021)

Summary: Bad tattoos walk in. Great tattoos walk out. Top artists transform tattoo disasters into stunning cover-ups, with designs chosen by clients' loved ones.

Release Date: July 28, 2021

Genre: Reality-TV

MPAA: TV-MA

Production: Best Production Company

Country: United States

Language: English

N/A

The average Rotten Tomatoes audience score is 46%.

46%

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63%14%

63% of the Stars & Main Cast are Female.

14% of the Stars & Main Cast are "diverse."

White85.71%Black14.29%

N/A

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Queer Eye: Germany (2022)

Summary: A new Fab Five set out to Germany to help some of the city's people refine their wardrobes, grooming, diet, cultural pursuits, and home decor.

Release Date: March 09, 2022

Genre: Reality-TV

Runtime: 0 h 45 min

MPAA: TV-14

Production: ITV Studios Germany

Country: Germany

Language: German

N/A

The average Rotten Tomatoes audience score is 70%.

70%

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N/A0%

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

White100%

N/A

LGBTQ content included:

gay

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last updated: 2024-10-26Update data

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last updated: 2024-09-27Update data

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Gay Stuff rates the amount of non-tradional sexuality depicted.

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