Addicted to Love

Summary: Maggie's and Sam's former partners are in love; she wants revenge and he wants his lost love back, so they work together to break up the happy couple.

Release Date: May 23, 1997

Genres: Comedy, Romance

Director: Griffin Dunne

Writer: Robert Gordon

Runtime: 1 h 40 min

MPAA: R

Production: Warner Bros., Outlaw Productions (I), Miramax

Distributor: Warner Home Video, CBS, Warner Bros. Television

Country: United States

Language: English

Domestic: $ 34,673,095

Box office:

Domestic:$34.7MWorldwide:$34.7M

Adaptation/remake:

title based on song

Possible Big Business:

Production:

Warner Bros.

Miramax

(Paramount Global subsidiary)

-5%

The Rotten Tomatoes audience rated this -5% lower than the critics.

55%50%

The Metacritic audience rated this 27% higher than the critics.

Metacritic Meta:

49/100

Metacritic User:

76/100

39%12%

39% of the Stars & Main Cast are Female.

12% of the Stars & Main Cast are "diverse."

White76.47%Jewish11.76%Black5.88%Mixed / Other5.88%

N/A

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55%50%

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Stars:

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Star

Supporting

Other

Production

Race	White	Jewish	Mixed / Other	Indian	Black	Total	Visuals	Info
Kairos	6				1	7		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
Ethnic	2	2	1			5		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	3					3
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
Familysearch	1					1
Total	13	2	1	1	1	18
Cast Percentages	72.22%	11.11%	5.56%	5.56%	5.56%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":72.22,"color":"#2b908f","sliced":true,"selected":true},{"name":"Jewish","y":11.11,"color":"#ff0066","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":5.56,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Indian","y":5.56,"color":"#7798BF","sliced":true,"selected":true},{"name":"Black","y":5.56,"color":"#f45b5b","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2000) Percentage	69.1%	1.85%	3.96%	0.6%	12.3%		{"name":"U.S. Population (2000)","series":[{"name":"White","y":69.1,"color":"#2b908f"},{"name":"Arab","y":0.42,"color":"#DF5353"},{"name":"Asian","y":4.23,"color":"#90ee7e"},{"name":"Black","y":12.3,"color":"#f45b5b"},{"name":"Indian","y":0.6,"color":"#7798BF"},{"name":"Indigenous","y":0.9,"color":"#aaeeee"},{"name":"Latino","y":12.5,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":3.96,"color":"#55BF3B"},{"name":"Jewish","y":1.85,"color":"#ff0066"}],"prefix":""}	Source: US Census (Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (2000) Representation	+3.12	+9.26	+1.6	+4.96	-6.74		{"name":"U.S. Population (2000)","series":[["White",69.1],["Jewish",1.85],["Mixed \/ Other",3.96],["Indian",0.6],["Black",12.3]],"cast":[{"name":"White","y":72.22,"color":"#2b908f"},{"name":"Jewish","y":11.11,"color":"#ff0066"},{"name":"Mixed \/ Other","y":5.56,"color":"#55BF3B"},{"name":"Indian","y":5.56,"color":"#7798BF"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
U.S. Buying Power (2000) Percentage	81.25%		0.76%		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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2000) Representation	-9.03		+4.8		-2.16		{"name":"U.S. Buying Power (2000)","series":[["White",81.25],["Jewish",0],["Mixed \/ Other",0.76],["Indian",0],["Black",7.72]],"cast":[{"name":"White","y":72.22,"color":"#2b908f"},{"name":"Jewish","y":11.11,"color":"#ff0066"},{"name":"Mixed \/ Other","y":5.56,"color":"#55BF3B"},{"name":"Indian","y":5.56,"color":"#7798BF"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
U.S. Average Individual Income (2018) Percentage	75.87%		3.01%		9.09%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11735000668546,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":796854447161,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1406316870173,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":109667874961,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":954299500000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":465295278017,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	-3.65		+2.55		-3.53		{"name":"U.S. Average Individual Income (2018)","series":[["White",75.87],["Jewish",0],["Mixed \/ Other",3.01],["Indian",0],["Black",9.09]],"cast":[{"name":"White","y":72.22,"color":"#2b908f"},{"name":"Jewish","y":11.11,"color":"#ff0066"},{"name":"Mixed \/ Other","y":5.56,"color":"#55BF3B"},{"name":"Indian","y":5.56,"color":"#7798BF"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
World population (1997) Percentage	16.98%	0.34%	1.91%	20.69%	11.02%		{"name":"World population (1997) ","series":[{"name":"Mixed \/ Other","y":11149204586,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":33302186853,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":7872227190,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":99299334943,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":64458512767,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":202020520186,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":43741936247,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":121015329976,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":1983266739,"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 (1997) Representation	+55.24	+10.77	+3.65	-15.13	-5.46		{"name":"World population (1997) ","series":[["White",16.98],["Jewish",0.34],["Mixed \/ Other",1.91],["Indian",20.69],["Black",11.02]],"cast":[{"name":"White","y":72.22,"color":"#2b908f"},{"name":"Jewish","y":11.11,"color":"#ff0066"},{"name":"Mixed \/ Other","y":5.56,"color":"#55BF3B"},{"name":"Indian","y":5.56,"color":"#7798BF"},{"name":"Black","y":5.56,"color":"#f45b5b"}]}
World Buying Power Percentage	36.48%	1.11%	1.81%	6.94%	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	+35.74	+10	+3.75	-1.38	-0.82		{"name":"World Buying Power","series":[["White",36.48],["Jewish",1.11],["Mixed \/ Other",1.81],["Indian",6.94],["Black",6.38]],"cast":[{"name":"White","y":72.22,"color":"#2b908f"},{"name":"Jewish","y":11.11,"color":"#ff0066"},{"name":"Mixed \/ Other","y":5.56,"color":"#55BF3B"},{"name":"Indian","y":5.56,"color":"#7798BF"},{"name":"Black","y":5.56,"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.	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.

airplane allergy ambulance apartment apartment building argument astronomer astronomy automated teller machine bare chested male binoculars boyfriend girlfriend relationship breakup cactus camera camera obscura chef cockroach credit card dishwasher doorbell eavesdropping elevator falling in love fiance fiancee relationship fight flashlight food critic frenchman abroad grandmother granddaughter relationship heartbreak home invasion hot dog stand immigrant infidelity invasion of privacy jealousy kiss kitchen letter light bulb lipstick listening device love love triangle lust male rear nudity manhattan new york city marriage proposal monkey motorcycle motorcyclist new york city obsession orgasm overhead camera shot overhearing sex panties panties pulled down perfume photograph photographer pickpocket premarital sex prologue punched in the face red panties reference to catwoman reference to godzilla reference to goldilocks and the three bears reference to lassie reference to superman reference to tarzan restaurant revenge ring sabotage scene during opening credits schoolteacher shower sleeping on a couch small town squirt gun stolen credit card strawberry street performer surveillance taking a photograph telescope three word title title based on song voyeur water pistol weeping man wine

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