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Now You See Me

Summary: An FBI agent and an Interpol detective track a team of illusionists who pull off bank heists during their performances, and reward their audiences with the money.
Runtime: 1 h 55 min
MPAA: PG-13

Countries: United States, France
Language: English
Franchise: Now You See Me
Movie budget: $ 75,000,000
Domestic: $ 117,723,989
International: $ 234,000,000

Box office:

Budget:$75MDomestic:$117.7MInternational:$234MWorldwide:$351.7M

Franchise:

Production:

Summit Entertainment

(Lionsgate subsidiary)

20%
50%70%

50/10071/100
33%28%
White50%Jewish22.22%Latino11.11%Asian5.56%Mixed / Other5.56%Black5.56%
1.00

Possibly woke elements:

female agent

BechdeltestNo women talking

Commonsensemedia

Message2/5
Violence3/5
Sex2/5
Language3/5
Consumerism2/5
Drugs2/5

Dove

Sex3/5
Language4/5
Violence2/5
Drugs2/5
Nudity2/5
Other2/5

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Stars:

Supporting cast:

Other cast:

Production:

RaceWhiteJewishMixed / OtherBlackLatinoAsianTotalVisualsInfo
Ethnic441110
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/

Kairos6118
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

Crowd11
This is the crowdsourced dataset created by users like you! We greatly appreciate your cooperation in making ZR the most accurate and massive database on the internet. Sometimes the verdicts are submitted by looks alone, sometimes users attach an image and a source link. Due to this inconsistency please take the results with a grain of salt and click each actor for more info.
Bettaface11
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

Total124111120
Cast Percentages60%20%5%5%5%5%100%
U.S. Population (2010) Percentage63.7%1.71%4.56%12.6%16.3%5.61%
Source:
US Census
(Note: Racial and ethnic categories overlap so the sum will not equal 100%.)
U.S. Population (2010) Representation-3.7+18.29+0.44-7.6-11.3-0.61
U.S. Buying Power (2010) Percentage77.06%1.17%7.85%8.32%4.93%
U.S. Buying Power (2010) Representation-17.06+3.83-2.85-3.32+0.07
U.S. Average Individual Income (2018) Percentage71.15%3.52%9.47%8.18%6.95%
U.S. Average Individual Income (2018) Representation-11.15+1.48-4.47-3.18-1.95
World population (2013) Percentage14.85%0.34%1.89%13.36%5.69%32.16%
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 (2013) Representation+45.15+19.66+3.11-8.36-0.69-27.16
World Buying Power Percentage36.48%1.11%1.81%6.38%9.35%29.46%
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+23.52+18.89+3.19-1.38-4.35-24.46
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.
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.

2010s7 of diamondsabandoned apartmentairplanearmored truckarrestballoon animalbankbank heistbank robberybank vaultbarbenefactorbetrayalblack comedyblackmailblackmailerbloodboatbraceletbrawlbridgeburning evidencebuscar accidentcar chasecar crashcar explosioncar full of moneycar on firecar rollovercardcard sailingcard trickcardscarouselcashcasinocell phonechainchasechased by policechicago illinoisclaim in titlecold readingcolleague colleague relationshipcommandeered vehiclecon artistconspiracycounting moneycriminalcriminal as protagonistcriminal investigationdeceptiondesertdisguisedistractionegoensemble castescapeescape artistescape from handcuffsexploding carexplosionfairgroundfake bloodfaked deathfbi agentfbi federal bureau of investigationfbi investigationfederal agentfeet on tablefemale agentfemale detectivefemale investigatorferryfightfireplacefireworksfirst person titlefish tankfistfightflash paperflashbackflashlightfoot chasefour word titleframe upframed for crimeframed for robberyfrenchman abroadfrenchman in usafrenchwomanfrenchwoman abroadgarbage chutegarbage disposalhammerhandcuffed to somethinghandcuffed togetherhandcuffsheistheist crimehelicopterhologramhughes md 500 helicopterhundred dollar billhypnosishypnotismhypnotisthypodermic needleillusionistimpersonationinjectioninterpolinterpol agentinterrogationinterrogation roominvestigationinvitationjackhammerjail celljunkyardkeykiss on the lipskissingknifeknife throwingknocked outlas vegas nevadaletterlock picklocked doorlocked in a cellmachine gunmagicmagic actmagic trickmagicianmagician's assistantmannequinmansionmardi grasmasturbation referencemedia coveragementalistmerry go roundmillionairemirrormisdirectionmoneymoney countingmoney falling through the airmoney transfermultiple protagonistsnew colleaguenew orleans louisiananew york citynews helicopternews reportnewspaper headlineno opening creditsobscene finger gestureon the runone year lateroversized checkoverturning carpadlockparis franceparking garagepassive aggressive behaviorpassive aggressive womanperformancepickpocketpile of moneyping pong ballpiranhapistolplaying cardpointing a gun at someonepolicepolice chasepolice interrogationpolice investigationpost hypnotic suggestionprisonprivate jetprivate planeproduct placementprofessional rivalryrabbitreference to david copperfieldreference to shakespeare's romeo and julietreference to warren beattyreference to william shakespeareresisting arrestrevengerobberyrobin hood plotrooftoprosesafeschemesecret plansecret roomsecret societysecurity camerasecurity guardsex sceneshakedownshipsledgehammersleight of handsliding down a garbage chuteslow motion scenesnipersniper riflesponsorspoonstage actstage magicianstage showstealing a carstolen walletstolen wristwatchstreet entertainerstreet magiciansurprise endingsurveillancesuspense mysteryswat teamswindletalking to the cameratarot cardtaxiteleportationtheftthreattied feettimeframe 2010stracking devicetwenty dollar billtwenty euro billtwo of heartsunderwater scenevacuumwarehousewatching tvwaterwhite rabbitwhite rosewife hits husbandwild goose chasewiretappingwoman hits a man

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Parental Guide: +add

This film gets a 1/5 family friendly score

MPAA CertificationNo MPAA rating found yet. Add Family Friendly Rating?

IMDb Rating

https://www.imdb.com/title/tt1670345/parentalguide

last updated: 2024-10-25Update data

Commonsensemedia Rating

https://www.commonsensemedia.org/movie-reviews/now-you-see-me

last updated: 2024-10-25Update data

Message
2/5

Justice circles back, even if it takes years. Also, ingenuity and hard work pay off, with patience.

Violence
3/5

A few action-packed fight scenes that look brutal, though viewers don't see any gore: A man's sleeve is trapped in a garbage disposal, and there's lots of kicking, punching, and head-banging. Guns are drawn. In one pretty gnarly car chase, a car tumbles after hitting a median, with the driver dying in a fiery crash.

Sex
2/5

Flirty banter and a sweet kiss. A girl strips to her underwear and makes out with a guy. Some innuendo. A woman is very briefly seen topless in a Mardis Gras crowd; hands are covering her breasts.

Language
3/5

Includes several uses of "s--t," plus "bulls--t," "a--hole," "d--k," "ass," "hell," "damn," "crap," "goddamn," "oh my God," and the like.

Consumerism
2/5

Several labels seen/mentioned: MGM Grand, Starbucks, Skype, Nokia, BMW.

Drugs
2/5

A character is shown drinking too much at a bar. The next day he references getting drunk.

Dove Rating

https://dove.org/review/9927-now-you-see-me/
Sex
3/5
Language
4/5
Violence
2/5
Drugs
2/5
Nudity
2/5
Other
2/5
Methodology
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