Just Say Love

Summary: After what is supposed to be a no-strings hook up, two men discuss their dreams, what ideal happiness might be like, and maybe a future together.

Release Date: July 18, 2009

Genres: Drama, Romance

Director: Bill Humphreys

Writers: Bill Humphreys

, David J. Mauriello

Runtime: 1 h 15 min

MPAA: Not Rated

Production: Stagewright Films, Funny Boy Films

Country: United States

Language: English

Domestic: $ 3,944

Box office:

Domestic:$3.9KWorldwide:$3.9K

N/A

The average Rotten Tomatoes audience score is 73%.

73%

No Metacritic ratings imported yet.

0%67%

0% of the Stars & Main Cast are Female.

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

Latino66.67%White33.33%

N/A

LGBTQ content included:

gay, homosexual, homosexuality, bisexual

Possibly woke elements:

prejudice

No MPAA or IMDb parental guidance data has been imported yet.
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CONTENT BREAKDOWN

Methodology

RottenTomatoes:

73%

Douban:

IMDb:

Moviemeter:

Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

Other cast:

Production:

Representation

Star

Supporting

Other

Production

Race	Asian	Total	Visuals	Info
Surname	10	10		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/
Familysearch	3	3
Kairos	2	2		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	2	2
Total	17	17
Cast Percentages	100%	100%	{"name":"Cast Percentages","series":[{"name":"Asian","y":100,"color":"#90ee7e","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2020) Percentage	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	+94		{"name":"U.S. Population (2020)","series":[["Asian",6]],"cast":[{"name":"Asian","y":100,"color":"#90ee7e"}]}
U.S. Buying Power (2018) Percentage	6.2%		{"name":"U.S. Buying Power (2018)","series":[{"name":"White","y":12147700000000,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1013300000000,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1300200000000,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":114600000000,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1539000000000,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":224700000000,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2018) Representation	+93.8		{"name":"U.S. Buying Power (2018)","series":[["Asian",6.2]],"cast":[{"name":"Asian","y":100,"color":"#90ee7e"}]}
U.S. Average Individual Income (2018) Percentage	7.52%		{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":11707946793024,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1347216112434,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1689846065304,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":162668074499,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1704354160732,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":1305259179406,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+92.48		{"name":"U.S. Average Individual Income (2018)","series":[["Asian",7.52]],"cast":[{"name":"Asian","y":100,"color":"#90ee7e"}]}
World population (2017) Percentage	31.56%		{"name":"World population (2017) ","series":[{"name":"Mixed \/ Other","y":14282779183,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":42184935374,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":10701501460,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":108121502769,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":105359943498,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":236062310750,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":65008081552,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":163777338052,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":2515958788,"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 (2017) Representation	+68.44		{"name":"World population (2017) ","series":[["Asian",31.56]],"cast":[{"name":"Asian","y":100,"color":"#90ee7e"}]}
World Buying Power Percentage	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	+70.54		{"name":"World Buying Power","series":[["Asian",29.46]],"cast":[{"name":"Asian","y":100,"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.