Why Do Fools Fall in Love

Summary: Three women each claim to be the widow of 1950s doo-wop singer Frankie Lymon, claiming legal rights to his estate.

Release Date: August 28, 1998

Genres: Drama, Music, Biography

Director: Gregory Nava

Writer: Tina Andrews

Runtime: 1 h 56 min

MPAA: 14A

Production: Rhino Films, Warner Bros.

Distributor: Warner Bros.

Country: United States

Language: English

Domestic: $ 12,461,773

Box office:

Domestic:$12.5MWorldwide:$12.5M

Adaptation/remake:

based on true story, title based on song

Possible Big Business:

Production:

Warner Bros.

24%

The Rotten Tomatoes audience rated this 24% higher than the critics.

52%76%

No Metacritic ratings imported yet.

28%67%

28% of the Stars & Main Cast are Female.

67% of the Stars & Main Cast are "diverse."

Black61.11%White27.78%Mixed / Other5.56%Jewish5.56%

0.10

Possibly woke elements:

polygamy,racism

Commonsensemedia

Violence4/5
Sex3/5
Language3/5
Drugs5/5

This film gets a 0.10/5 family friendly score

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CONTENT BREAKDOWN

Methodology

RottenTomatoes:

52%76%

Eiga:

IMDb:

Kinopoisk:

OFDb:

Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

Other cast:

Production:

Representation

Star

Supporting

Other

Production

Race	White	Latino	Asian	Total	Visuals	Info
Kairos	7	1	1	9		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
Familysearch	1	4		5
Forebears		4		4
Surname	3	1		4		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	11	10	1	22
Cast Percentages	50%	45.45%	4.55%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":50,"color":"#2b908f","sliced":true,"selected":true},{"name":"Latino","y":45.45,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Asian","y":4.55,"color":"#90ee7e","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2020) Percentage	57.84%	18.73%	6%		{"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	-7.84	+26.72	-1.45		{"name":"U.S. Population (2020)","series":[["White",57.84],["Latino",18.73],["Asian",6]],"cast":[{"name":"White","y":50,"color":"#2b908f"},{"name":"Latino","y":45.45,"color":"#eeaaee"},{"name":"Asian","y":4.55,"color":"#90ee7e"}]}
U.S. Buying Power (2023) Percentage	72.69%	10.06%	6.97%		{"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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2023) Representation	-22.69	+35.39	-2.42		{"name":"U.S. Buying Power (2023)","series":[["White",72.69],["Latino",10.06],["Asian",6.97]],"cast":[{"name":"White","y":50,"color":"#2b908f"},{"name":"Latino","y":45.45,"color":"#eeaaee"},{"name":"Asian","y":4.55,"color":"#90ee7e"}]}
U.S. Average Individual Income (2018) Percentage	65.34%	9.51%	7.52%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11825174998483,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1360705388565,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1706765993728,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":164296821776,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1721419354421,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":1318328353188,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	-15.34	+35.94	-2.97		{"name":"U.S. Average Individual Income (2018)","series":[["White",65.34],["Latino",9.51],["Asian",7.52]],"cast":[{"name":"White","y":50,"color":"#2b908f"},{"name":"Latino","y":45.45,"color":"#eeaaee"},{"name":"Asian","y":4.55,"color":"#90ee7e"}]}
World population (2019) Percentage	14.24%	5.62%	31.25%		{"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	+35.76	+39.83	-26.7		{"name":"World population (2019) ","series":[["White",14.24],["Latino",5.62],["Asian",31.25]],"cast":[{"name":"White","y":50,"color":"#2b908f"},{"name":"Latino","y":45.45,"color":"#eeaaee"},{"name":"Asian","y":4.55,"color":"#90ee7e"}]}
World Buying Power Percentage	36.48%	9.35%	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	+13.52	+36.1	-24.91		{"name":"World Buying Power","series":[["White",36.48],["Latino",9.35],["Asian",29.46]],"cast":[{"name":"White","y":50,"color":"#2b908f"},{"name":"Latino","y":45.45,"color":"#eeaaee"},{"name":"Asian","y":4.55,"color":"#90ee7e"}]}
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.	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.

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Parental Guide

Parental Guide: +add

This film gets a 0.1/5 family friendly score

MPAA Certification	No MPAA rating found yet. Add Family Friendly Rating?
IMDb Rating https://www.imdb.com/title/tt0123324/parentalguide last updated: 2024-10-25Update data
Commonsensemedia Rating https://www.commonsensemedia.org/movie-reviews/why-do-fools-fall-in-love last updated: 2024-10-25Update data
Message 0/5	Don't use drugs. Some talented celebrities fall out of the spotlight, especially if they use drugs. People under the influence do terrible things.
Role model 0/5	Frankie was a talented singer, dancer, and songwriter, but he got involved in drugs and his career disappeared.
Violence 4/5	A drunk and angry Frankie holds his wife's dog out the window, then drops the dog to its death. A dealer beats Frankie up for non-payment. He draws a knife but doesn't use it. Two women have a fight near a pool, which is played for comedy. MPs arrest Frankie for being AWOL from the army. A father is described as beating his children and wife. 1950s racism is illustrated when a group of black singers enter a Chicago diner filled with hostile white people. A drug addict destroys his girlfriend's house looking for money. A man punches a mirror. Frankie is seen applying a tourniquet to his arm, presumably to inject heroin. He then slumps over and dies.
Sex 3/5	Adults are seen making love. A glimpse of a woman's breast is seen from the side. A woman makes extra money as a streetwalker to help pay for her addict husband's expensive rehab. A man's erection is referred to as the "rock of Gibraltar."
Language 3/5	"F--k," "s--t," "ass," "butt," "bitch," "piss," and "pee."
Drugs 5/5	Adults smoke cigarettes, drink alcohol, and use drugs. A man, in and out of rehab, succumbs to heroin use.