Save the Tiger

Summary: Troubled garment manufacturer Harry Stoner tries to make his small debt-ridden factory survive, hires an arsonist to burn down a building so Harry can collect the insurance money, he pimps for clients, and has flashbacks to the war.

Release Date: February 16, 1973

Genre: Drama

Director: John G. Avildsen

Writer: Steve Shagan

Runtime: 1 h 40 min

MPAA: PG

Production: Filmways Pictures, Cirandinha Productions, Jalem Productions

Distributor: Paramount Pictures, CBS, Paramount Home Entertainment

Country: United States

Language: English

Movie budget: $ 1,000,000

Budget:$1M

-15%

The Rotten Tomatoes audience rated this -15% lower than the critics.

89%74%

No Metacritic ratings imported yet.

50%6%

50% of the Stars & Main Cast are Female.

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

White93.75%Latino6.25%

N/A

LGBTQ content included:

gay

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Race	White	Asian	Total	Visuals	Info
Kairos	11		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
Forebears	3	1	4
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/
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
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	17	1	18
Cast Percentages	94.44%	5.56%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":94.44,"color":"#2b908f","sliced":true,"selected":true},{"name":"Asian","y":5.56,"color":"#90ee7e","sliced":true,"selected":true}],"prefix":""}
U.S. Population (1970) Percentage	83.2%	0.76%		{"name":"U.S. Population (1970)","series":[{"name":"White","y":83.2,"color":"#2b908f"},{"name":"Arab","y":0,"color":"#DF5353"},{"name":"Asian","y":0.76,"color":"#90ee7e"},{"name":"Black","y":11.1,"color":"#f45b5b"},{"name":"Indian","y":0,"color":"#7798BF"},{"name":"Indigenous","y":0.4,"color":"#aaeeee"},{"name":"Latino","y":4.4,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":0.3,"color":"#55BF3B"},{"name":"Jewish","y":2.63,"color":"#ff0066"}],"prefix":""}	Source: US Census (Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (1970) Representation	+11.24	+4.8		{"name":"U.S. Population (1970)","series":[["White",83.2],["Asian",0.76]],"cast":[{"name":"White","y":94.44,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
U.S. Buying Power (2000) Percentage	81.25%	3.5%		{"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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2000) Representation	+13.19	+2.06		{"name":"U.S. Buying Power (2000)","series":[["White",81.25],["Asian",3.5]],"cast":[{"name":"White","y":94.44,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
U.S. Average Individual Income (2018) Percentage	88.52%	0.9%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":10981486896965,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":111271764705,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":986356257373,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":37881717429,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":261071888000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":27396019338,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+5.92	+4.66		{"name":"U.S. Average Individual Income (2018)","series":[["White",88.52],["Asian",0.9]],"cast":[{"name":"White","y":94.44,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
World population (1973) Percentage	21.5%	36.12%		{"name":"World population (1973) ","series":[{"name":"Mixed \/ Other","y":7439700240,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":21786587251,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":4709372527,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":83586346948,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":35282149995,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":140465411309,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":23289363155,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":70838384601,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":1434801260,"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 (1973) Representation	+72.94	-30.56		{"name":"World population (1973) ","series":[["White",21.5],["Asian",36.12]],"cast":[{"name":"White","y":94.44,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
World Buying Power Percentage	36.48%	29.46%		{"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	+57.96	-23.9		{"name":"World Buying Power","series":[["White",36.48],["Asian",29.46]],"cast":[{"name":"White","y":94.44,"color":"#2b908f"},{"name":"Asian","y":5.56,"color":"#90ee7e"}]}
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.

alienation american dream animal conservationist argument arson arson for hire arson specialist arsonist auditory hallucination automobile barely legal baseball baseball field beach best friend boxer shorts bra breakfast in bed business partner businessman car phone cheating husband chinese restaurant cigar smoking cigarette smoking clothesline clothing factory clothing industry clothing manufacturer cocktail bar cynic cynicism dart board dead war buddy deadpan humor disillusionment dissatisfaction elevator embezzlement employer employee relationship enema existentialism factory fashion show financial trouble flashback french language friendship garment industry garment worker garter guilty conscious heart attack heart attack during sex high class prostitute hired arsonist hitchhiker illegal drug indebted company insurance fraud jazz jazz fan jewish character little league baseball los angeles california maid marijuana materialism melancholy metaphoric title midlife crisis mob mobster model moral dilemma movie theater nervous breakdown nightmare no ending nostalgia nudity older man younger woman older man younger woman relationship one night stand only daughter oscar winner pacific ocean panties partners petition porn theater propositioned for sex prostitute ptsd post traumatic stress disorder public event raising money razor reference to abe reles reference to adolf eichmann reference to albert camus reference to albert speer reference to aretha franklin reference to art tatum reference to babe ruth reference to barbra streisand reference to beau jack reference to billie holiday reference to bob dylan reference to brian jones reference to bunny berigan reference to carl hubbell reference to charlie chaplin reference to citation the racehorse reference to cole porter reference to cookie lavagetto reference to d day reference to daddy warbucks reference to daniel berrigan reference to daniel ellsberg reference to doc blanchard reference to don ameche reference to earl hines reference to eddie arcaro reference to edward bowes reference to enola gay reference to fats waller reference to fiorello la guardia reference to franklin d. roosevelt reference to fred allen reference to gabriel heatter reference to george gershwin reference to glenn davis reference to glenn miller reference to grace slick reference to hank greenberg reference to heinrich himmler reference to helen o'connell reference to henry a. wallace reference to hermann goring reference to irving berlin reference to j. d. tippit reference to jack ruby reference to jack teagarden reference to james earl ray reference to janis joplin reference to jefferson starship reference to jerry garcia reference to jesus christ reference to jim morrison reference to jimi hendrix reference to jimmie foxx reference to jimmy durante reference to joe penner reference to john f. kennedy reference to josef stalin reference to joseph goebbels reference to lena horne reference to little lulu reference to lorenz hart reference to lou gehrig reference to lucky luciano reference to maharishi mahesh yogi reference to malcolm x reference to mao zedong reference to marcel cerdan reference to marilyn monroe reference to martin bormann reference to medgar evers reference to mel powell reference to mick jagger reference to moe purtill reference to moses reference to my lai massacre reference to new riders of the purple sage reference to oliver hardy reference to oscar ichazo reference to paul von hindenburg reference to pierre laval reference to popeye reference to ram dass reference to red grange reference to richard rodgers reference to robert f. kennedy reference to sirhan sirhan reference to stan laurel reference to sugar ray robinson reference to the band reference to the beaches of normandy reference to the beatles reference to the cotton club reference to the grateful dead reference to the hindenburg reference to the rolling stones reference to the song fine and mellow reference to tony zale reference to w.c. fields reference to whirlaway the racehorse reference to wilhelm keitel reference to willie pep scene during closing credits self discovery sewing machine sexual fetish shaving shower sink smoking marijuana spanish language speech sports fan stuck between a rock and a hard place suit survival switchboard taxi taxi driver telephone threat of bankruptcy tie tiger title spoken by character upper middle class visual hallucination war flashback water cooler wise old man world war two world war two veteran

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Murray N. Rothbard (a.k.a. Mr. First Nighter) #Jewish #Libertarian

Dec 12th 2018

Arts and Movies - Vol. 6.4, April 1974

The Oscars. Most of the comment on the Oscars has been devoted to the always boring, bumbling, but somehow lovable Academy Awards dinner that ran an hour over on nationwide television. Far more important, however, was the content of the awards themselves, and in particular the titanic struggle that was waged between The Sting and The Exorcist for Academy honors.
The Sting, directed by George...

PJ Media Staff #Christian #CenterRight

Jun 28th 2017

10 Movies Millennials Must See to Understand the 1970s

Lifestyle I knew things were bad when, a few years ago, I actually found myself missing the Seventies.Many, many American movies made during the Seventies share one overarching theme:America is falling apart!Tim Dirks' must-read, 6-part overview of the films of this era begins with this highly-concentrated, perfectly observed paragraph:Motion picture art seemed to flourish at the same time that...

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