Lolo

Summary: Violette, a 40-year old workaholic with a career in the fashion industry falls for a provincial computer geek, Jean-Rene, while on a spa retreat with her best friend.

Release Date: October 28, 2015

Genre: Comedy

Director: Julie Delpy

Writers: Julie Delpy

, Eugénie Grandval

Runtime: 1 h 39 min

MPAA: Not Rated

Production: The Film, France 2 Cinéma, Mars Films, Tempête Sous un Crâne, Sofica Manon 5, Cinémage 9, La Banque Postale Image 8, Apidev 4, France Télévisions, Canal+, Ciné+, D8, Poisson Rouge Pictures

Distributor: FilmRise

Country: France

Language: French

Domestic: $ 24,134

International: $ 7,639,664

Box office:

Domestic:$24.1KInternational:$7.6MWorldwide:$7.7M

Box office International:

Source: Box Office Mojo

-26%

The Rotten Tomatoes audience rated this -26% lower than the critics.

57%31%

No Metacritic ratings imported yet.

44%12%

44% of the Stars & Main Cast are Female.

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

White82.35%Asian5.88%Jewish5.88%Mixed / Other5.88%

N/A

Possibly woke elements:

f rated

No MPAA or IMDb parental guidance data has been imported yet.
Please help improve our site and

add a Family Friendly Rating.

CONTENT BREAKDOWN

Methodology

RottenTomatoes:

57%31%

Douban:

IMDb:

Moviemeter:

OFDb:

Methodology

Cast

Stars:

Supporting cast:

Other Cast, Production

Other cast:

Production:

Representation

Star

Supporting

Other

Production

Race	White	Asian	Mixed / Other	Jewish	Total	Visuals	Info
Kairos	12	1			13		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		1		3		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		1		1	2
Total	14	2	1	1	18
Cast Percentages	77.78%	11.11%	5.56%	5.56%	100%	{"name":"Cast Percentages","series":[{"name":"White","y":77.78,"color":"#2b908f","sliced":true,"selected":true},{"name":"Asian","y":11.11,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":5.56,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":5.56,"color":"#ff0066","sliced":true,"selected":true}],"prefix":""}
U.S. Population (2010) Percentage	63.7%	5.61%	4.56%	1.71%		{"name":"U.S. Population (2010)","series":[{"name":"White","y":63.7,"color":"#2b908f"},{"name":"Arab","y":0.55,"color":"#DF5353"},{"name":"Asian","y":5.61,"color":"#90ee7e"},{"name":"Black","y":12.6,"color":"#f45b5b"},{"name":"Indian","y":0.92,"color":"#7798BF"},{"name":"Indigenous","y":0.9,"color":"#aaeeee"},{"name":"Latino","y":16.3,"color":"#eeaaee"},{"name":"Mixed \/ Other","y":4.56,"color":"#55BF3B"},{"name":"Jewish","y":1.71,"color":"#ff0066"}],"prefix":""}	Source: US Census (Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (2010) Representation	+14.08	+5.5	+1	+3.85		{"name":"U.S. Population (2010)","series":[["White",63.7],["Asian",5.61],["Mixed \/ Other",4.56],["Jewish",1.71]],"cast":[{"name":"White","y":77.78,"color":"#2b908f"},{"name":"Asian","y":11.11,"color":"#90ee7e"},{"name":"Mixed \/ Other","y":5.56,"color":"#55BF3B"},{"name":"Jewish","y":5.56,"color":"#ff0066"}]}
U.S. Buying Power (2018) Percentage	74.35%	6.2%	1.38%			{"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":"$"}	Source: Selig Center, University of Georgia
U.S. Buying Power (2018) Representation	+3.43	+4.91	+4.18			{"name":"U.S. Buying Power (2018)","series":[["White",74.35],["Asian",6.2],["Mixed \/ Other",1.38],["Jewish",0]],"cast":[{"name":"White","y":77.78,"color":"#2b908f"},{"name":"Asian","y":11.11,"color":"#90ee7e"},{"name":"Mixed \/ Other","y":5.56,"color":"#55BF3B"},{"name":"Jewish","y":5.56,"color":"#ff0066"}]}
U.S. Average Individual Income (2018) Percentage	71.15%	6.95%	3.52%			{"name":"U.S. Average Individual Income (2018)","series":[{"name":"White","y":12721519851854,"color":"#2b908f","sliced":true,"selected":true},{"name":"Arab","y":0,"color":"#DF5353","sliced":true,"selected":true},{"name":"Asian","y":1242784966038,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Black","y":1694115892566,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Indian","y":0,"color":"#7798BF","sliced":true,"selected":true},{"name":"Indigenous","y":128965612341,"color":"#aaeeee","sliced":true,"selected":true},{"name":"Latino","y":1463378883932,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Mixed \/ Other","y":630075798173,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Jewish","y":0,"color":"#ff0066","sliced":true,"selected":true}],"prefix":"$"}	Source: IPUMS-CPS, University of Minnesota
U.S. Average Individual Income (2018) Representation	+6.63	+4.16	+2.04			{"name":"U.S. Average Individual Income (2018)","series":[["White",71.15],["Asian",6.95],["Mixed \/ Other",3.52],["Jewish",0]],"cast":[{"name":"White","y":77.78,"color":"#2b908f"},{"name":"Asian","y":11.11,"color":"#90ee7e"},{"name":"Mixed \/ Other","y":5.56,"color":"#55BF3B"},{"name":"Jewish","y":5.56,"color":"#ff0066"}]}
World population (2015) Percentage	14.66%	31.85%	1.9%	0.34%		{"name":"World population (2015) ","series":[{"name":"Mixed \/ Other","y":13874685516,"color":"#55BF3B","sliced":true,"selected":true},{"name":"Latino","y":41379939283,"color":"#eeaaee","sliced":true,"selected":true},{"name":"Indigenous","y":10421820265,"color":"#aaeeee","sliced":true,"selected":true},{"name":"White","y":107154527762,"color":"#2b908f","sliced":true,"selected":true},{"name":"Black","y":100282511024,"color":"#f45b5b","sliced":true,"selected":true},{"name":"Asian","y":232829334574,"color":"#90ee7e","sliced":true,"selected":true},{"name":"Arab","y":62610390562,"color":"#DF5353","sliced":true,"selected":true},{"name":"Indian","y":160008184114,"color":"#7798BF","sliced":true,"selected":true},{"name":"Jewish","y":2459594325,"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 (2015) Representation	+63.12	-20.74	+3.66	+5.22		{"name":"World population (2015) ","series":[["White",14.66],["Asian",31.85],["Mixed \/ Other",1.9],["Jewish",0.34]],"cast":[{"name":"White","y":77.78,"color":"#2b908f"},{"name":"Asian","y":11.11,"color":"#90ee7e"},{"name":"Mixed \/ Other","y":5.56,"color":"#55BF3B"},{"name":"Jewish","y":5.56,"color":"#ff0066"}]}
World Buying Power Percentage	36.48%	29.46%	1.81%	1.11%		{"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	+41.3	-18.35	+3.75	+4.45		{"name":"World Buying Power","series":[["White",36.48],["Asian",29.46],["Mixed \/ Other",1.81],["Jewish",1.11]],"cast":[{"name":"White","y":77.78,"color":"#2b908f"},{"name":"Asian","y":11.11,"color":"#90ee7e"},{"name":"Mixed \/ Other","y":5.56,"color":"#55BF3B"},{"name":"Jewish","y":5.56,"color":"#ff0066"}]}
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.	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.	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.

Tags / Keywords

19 year old 2 months later 45 year old actor director writer animated opening credits apartment arm cast art director baby barbecue bare breasts bare chested male basketball boyfriend girlfriend relationship boyfriend girlfriend reunion breast feeding breastfeeding a baby breasts pulled out broken arm business meeting cell phone character name as title computer programmer computer worm con artist cyber terrorist dangling someone from height dating daughter doctor drugged drink drunkenness dysfunctional mother son relationship explicit language f rated fashion designer fashion industry fashion show female friendship female protagonist female topless nudity flashback france french google search googling for information hypochondriac woman implied one male two females threesome implied sex interrupted sex itching itching powder kiss laptop computer london england making out man in jockey shorts man in the shower metro middle age romance miming sex neurotic woman nickname nickname as title nickname in title oedipal complex office worker one word title overheard conversation overhearing a conversation painter as artist paris france paris metro party personal diary plaster cast prank sabotaging a relationship seaside selfie sex joke sexual innuendo single woman skin rash sleeping on a couch smoking marijuana son disapproves of mother's boyfriend son hates mother's boyfriend spa subway surprise ending swimming pool talking about sex teenage boy teenage son text messaging on screen title spoken by character train ride train station tranquilizer tuna watching tv writer director star

Similar Movies

Parental Guide

Parental Guide: +add

MPAA Certification

No MPAA rating found yet. Add Family Friendly Rating?

IMDb Rating

https://www.imdb.com/title/tt4085944/parentalguide

last updated: 2024-10-26Update data

Commonsensemedia Rating

https://www.commonsensemedia.org

last updated: 2024-09-27Update data

Methodology

Other sources

boxofficemom.com
commonsensemedia.org
crosswalk.com

Global Consensus

Submit your review:

* required

Critic Name

Enter your name or leave the field blank.

Password

Create a password or enter an existing one. ( Please remember your password or you will lose your username forever. Recovery emails are optional and can be added later in User Settings. )

Review Title

Rating*

Rating is just the typical 5 star rating you'd give the film like you'd see on any other review site.

Support*

Support is a boycott suggestion and is meant to be a way for us to consolidate our efforts in “voting with our dollars.” Obviously, Hollywood has proven that they will sacrifice profits for the sake of their agenda, but they’re not as monolithic as you’d think. And people still respond to incentives.

So the 3 options are:

Pay to watch:

This movie is worth your time, and you should support the creators financially so we get more content like it.

Watch it AND give them money.

Watch if free:

The show is entertaining, but you shouldn’t reward the creators for whatever reason. Perhaps you don't want to support preachy celebs who hate their fans. Or maybe you enjoy superhero movies and nostalgia bait, but don't want to encourage Hollywood to continue making them in such a high ratio.

That’s when you’d click the “Watch Now” button and choose from one of the “Free” links:

( Use at your own risk. ZeitgeistReviews does not endorse any of the links and we don’t condone piracy. And we definitely discourage you from using this Reddit thread that shows you all of the places to pirate movies & tv. )

Watch it BUT don’t give them money.

Skip it:

This means the movie wasn’t even worth your time. Maybe it's so full of Woke crap that you’ll want to pull your hair out half way through. Or it could simply just be a piece of s**t, and not in a "so bad it's good" kind of way.

Don’t watch it AND don’t give them money.

( Note: We have expanded our site from just TV & Movies. Now we have games and will add music/books/etc. So the wording might change but the sentiment is still the same for every "Support" section. )

Review text*

Note: Please wrap spoilers [spoiler] like this. [/spoiler]

Neo-Marxism

Neo-Marxism, (sometimes referred to as "Cultural Marxism"), rates the amount of fanatic egalitarianism in a film. Consider this mainly a rating for anti-nationalist and anti-capitalist themes.

Feminism

Strong and multidimensional female characters are fine. This is mainly referring to girlboss crap, unrealistic Mary Sue content, and/or egregious scenes of manhood being disparaged.

Affirmative Action

Affirmative Action rates how much "diversity" is being pushed. ( Not true diversity, but the anti-White checklist kind.)

Gay Stuff

Gay Stuff rates the amount of non-tradional sexuality depicted.

Fedora Tipping

Fedora Tipping rates the amount of atheism / Scientism™ in a film.

Audience Reviews:

No results found

Critic Reviews:

Submit a review link

YouTube:

Internet Zeitgest:

Reddit:

All movie subreddits All TV subreddits All gaming subreddits

Comments:

Your Name:

Password:

Cancel Comment

Lolo

Stars:

Supporting cast:

Other cast:

Production:

Parental Guide: +add

IMDb Rating

Commonsensemedia Rating

Submit your review:

Pay to watch:

Watch if free:

Skip it:

Additional ratings

Audience Reviews:

Critic Reviews:

YouTube:

Internet Zeitgest:

Reddit:

Comments: