Playing for Keeps

Summary: Danny, Spikes and Silk have just recently graduated from high school in New York. Danny finds a title deed for a huge house in a small town. He has a dream to turn it into a Rock n' Roll hotel. The townspeople though are not very ...

Release Date: October 03, 1986

Genre: Comedy

Directors: Bob Weinstein

, Harvey Weinstein

Writers: Bob Weinstein

, Harvey Weinstein

, Jeremy Leven

Runtime: 1 h 42 min

MPAA: PG-13

Production: Miramax, Playing for Keeps Inc.

Country: United States

Language: English

Movie budget: $ 5,000,000

Domestic: $ 2,669,366

Box office:

Budget:$5MDomestic:$2.7MWorldwide:$2.7M

Production:

Miramax

(Paramount Global subsidiary)

N/A

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22%20%

22% of the Stars & Main Cast are Female.

20% of the Stars & Main Cast are "diverse."

White80%Latino13.33%Black6.67%

N/A

Possibly woke elements:

prejudice

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CONTENT BREAKDOWN

Methodology

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Stars:

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Race	White	Latino	Black	Indian	Total	Visuals	Info
Kairos	8	1	1		10		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		1	7
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
Total	15	2	1	1	19
Cast Percentages	78.95%	10.53%	5.26%	5.26%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":78.95,"color":"#2b908f","sliced":true,"selected":true},{"name":"Latino","y":10.53,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Black","y":5.26,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":5.26,"color":"#7798BF","sliced":true,"selected":true}],"prefix":""}
U.S. Population (1990) Percentage	75.6%	9%	12.1%	0.33%		{"name":"U.S. Population (1990)","series":[{"name":"White","y":75.6,"color":"#2b908f"},{"name":"Arab","y":0.35,"color":"#DF5353"},{"name":"Asian","y":2.78,"color":"#90ee7e"},{"name":"Black","y":12.1,"color":"#f45b5b"},{"name":"Indian","y":0.33,"color":"#7798BF"},{"name":"Indigenous","y":0.8,"color":"#aaeeee"},{"name":"Latino","y":9,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":3.9,"color":"#55BF3B"},{"name":"Jewish","y":2.22,"color":"#ff0066"}],"prefix":""}	Source: US Census (Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (1990) Representation	+3.35	+1.53	-6.84	+4.93		{"name":"U.S. Population (1990)","series":[["White",75.6],["Latino",9],["Black",12.1],["Indian",0.33]],"cast":[{"name":"White","y":78.95,"color":"#2b908f"},{"name":"Latino","y":10.53,"color":"#eeaaee"},{"name":"Black","y":5.26,"color":"#f45b5b"},{"name":"Indian","y":5.26,"color":"#7798BF"}]}
U.S. Buying Power (2000) Percentage	81.25%	6.26%	7.72%			{"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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2000) Representation	-2.3	+4.27	-2.46			{"name":"U.S. Buying Power (2000)","series":[["White",81.25],["Latino",6.26],["Black",7.72],["Indian",0]],"cast":[{"name":"White","y":78.95,"color":"#2b908f"},{"name":"Latino","y":10.53,"color":"#eeaaee"},{"name":"Black","y":5.26,"color":"#f45b5b"},{"name":"Indian","y":5.26,"color":"#7798BF"}]}
U.S. Average Individual Income (2018) Percentage	80.3%	4.3%	8.65%			{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11307381925969,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":461231143119,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1218424547498,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":85854309645,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":605135160000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":403583368578,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	-1.35	+6.23	-3.39			{"name":"U.S. Average Individual Income (2018)","series":[["White",80.3],["Latino",4.3],["Black",8.65],["Indian",0]],"cast":[{"name":"White","y":78.95,"color":"#2b908f"},{"name":"Latino","y":10.53,"color":"#eeaaee"},{"name":"Black","y":5.26,"color":"#f45b5b"},{"name":"Indian","y":5.26,"color":"#7798BF"}]}
World population (1986) Percentage	18.82%	5.7%	10.03%	19.64%		{"name":"World population (1986) ","series":[{"name":"Mixed \/ Other","y":9513268956,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":27917758820,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":6371401975,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":92131757446,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":49107570251,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":173389561455,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":33324419960,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":96155820060,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":1682357676,"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 (1986) Representation	+60.13	+4.83	-4.77	-14.38		{"name":"World population (1986) ","series":[["White",18.82],["Latino",5.7],["Black",10.03],["Indian",19.64]],"cast":[{"name":"White","y":78.95,"color":"#2b908f"},{"name":"Latino","y":10.53,"color":"#eeaaee"},{"name":"Black","y":5.26,"color":"#f45b5b"},{"name":"Indian","y":5.26,"color":"#7798BF"}]}
World Buying Power Percentage	36.48%	9.35%	6.38%	6.94%		{"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	+42.47	+1.18	-1.12	-1.68		{"name":"World Buying Power","series":[["White",36.48],["Latino",9.35],["Black",6.38],["Indian",6.94]],"cast":[{"name":"White","y":78.95,"color":"#2b908f"},{"name":"Latino","y":10.53,"color":"#eeaaee"},{"name":"Black","y":5.26,"color":"#f45b5b"},{"name":"Indian","y":5.26,"color":"#7798BF"}]}
Notes		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.

anger arrest aspiration bandage over eye bank loan best friend blackmail blue collar boy scout selling cookies boy scouts selling cookies boyfriend girlfriend relationship brief topless female nudity building inspection bully bullying caretaker causing mayham chaos church city slicker corporate conspiracy corrupt mayor corrupt sheriff counter strike cultural conservatism dance date on a lake daydream derelict hotel derelict house diner disillusioned ditch digging diversion doberman eating cookies entreprenuership female bank teller flirting food shoved into face friend friendship front loader gossip graduation day happy ending hide and seek hotel hotel owner hotel renovation house party independent film inheritance intolerance jailed land developer love interest man disguised as a nun manipulator mass kidnapping mayhem monkey dance montage moral panic musical performance new york new york city new yorker older brother younger sister relationship outsmarting the enemy panties past coming back to haunt payback police abuse pop music pop rock song pop rock soundtrack pop soundtrack prank prejudice rebellious reference to billy idol reference to christopher columbus reference to jumpin' jack flash by the rolling stones reference to michael jackson reference to mick jagger reference to mtv reference to prince the singer reference to quiet riot renovation restoration rival gang sabotage scandal septic tank skinny dipping small town corruption small town mentality small town prejudice song during end credits speech stockholder strict father teenage romance traveling salesman twin towers universal universal pictures universal studios wet daydream wish fulfillment woman knocks out man wooden bridge xenophobia young adult

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