Activities
Activities
Beyond the big systems, a BitLife is full of smaller activities and events: pastimes to spend a year on, social media to grow, and a constant stream of random scenarios. This section gathers the rest of the game’s content, including the generators BitLife uses to name people, places, and companies.
Pastimes
| Pastime | Holiday |
|---|---|
| antiquing | β |
| axe throwing | β |
| basket weaving | β |
| bird watching | β |
| birdwatching | β |
| bowling | β |
| break dancing | β |
| bungee jumping | β |
| camping | β |
| canoeing | β |
| Christmas caroling | β |
| Christmas shopping | β |
| cliff diving | β |
| crocheting | β |
| deep sea fishing | β |
| diving with sharks | β |
| fishing | β |
| for a bike ride | β |
| for a hike | β |
| for a picnic | β |
| for a swim | β |
| for a tandem bike ride in the <mountains/forest/country/city/hills> | β |
| for a walk | β |
| gambling | β |
| geocaching | β |
| golfing | β |
| grocery shopping | β |
| horseback riding <along the river/in the country/in the desert/in the mountains/in the forest> | β |
| ice skating | β |
| kayaking | β |
| longboarding | β |
| mountain climbing | β |
| on a sleigh ride | β |
| paddle boarding | β |
| paragliding | β |
| parasailing | β |
| rollerblading | β |
| sailing | β |
| shopping | β |
| shopping at a flea market | β |
| skiing | β |
| skydiving | β |
| sledding | β |
| snorkeling | β |
| snowboarding | β |
| stargazing | β |
| strolling around town | β |
| surfing | β |
| swimming | β |
| tire swinging | β |
| to <rap/sing/read poetry> at an open mic night | β |
| to a <Buddhist/Hindu> temple | β |
| to a <Christian/Protestant/Baptist/Catholic/Lutheran/Methodist/Presbyterian/Mormon> church | β |
| to a bar | β |
| to a barbeque | β |
| to a baseball game | β |
| to a basketball game | β |
| to a boxing match | β |
| to a caf\351 to play cards | β |
| to a cafe | β |
| to a cake baking class | β |
| to a car show at the convention center | β |
| to a carnival | β |
| to a Christmas party | β |
| to a comic book store | β |
| to a concert | β |
| to a cosplay convention | β |
| to a cricket match | β |
| to a DIY workshop at a hardware store | β |
| to a film festival | β |
| to a food festival | β |
| to a football game | β |
| to a freestyle hip-hop battle | β |
| to a golf tournament | β |
| to a Hanukkah festival | β |
| to a hockey game | β |
| to a holiday party | β |
| to a hot dog eating contest | β |
| to a Jewish synagogue | β |
| to a meditation class | β |
| to a motivational seminar | β |
| to a music festival | β |
| to a Muslim mosque | β |
| to a neighborhood block party | β |
| to a New Year’s Day party | β |
| to a New Year’s Eve party | β |
| to a painting class | β |
| to a park to play <checkers/chess/backgammon/Connect 4> | β |
| to a pilates class | β |
| to a puppet-making seminar | β |
| to a record store to check out some vinyl | β |
| to a rodeo | β |
| to a rugby game | β |
| to a Shinto shrine | β |
| to a soccer match | β |
| to a tennis match | β |
| to a tree lighting ceremony | β |
| to a yoga class | β |
| to an arcade | β |
| to an art museum | β |
| to an escape room | β |
| to an indoor trampoline park | β |
| to an ugly Christmas sweater party | β |
| to arrange a nativity scene | β |
| to arrange a secret Santa exchange | β |
| to attend a goat yoga class | β |
| to attend a juggling class | β |
| to bake cookies for Santa | β |
| to bite off the appendages of gingerbread people | β |
| to blow bubbles | β |
| to bring donuts to the police station | β |
| to build a pillow fort | β |
| to build a sandcastle in a sandbox at the park | β |
| to buy toys to donate to a family in need | β |
| to catch butterflies | β |
| to celebrate a reindeer with an untreated nose condition | β |
| to challenge strangers to staring contests at the grocery store | β |
| to check out holiday lights | β |
| to check the Christmas list and then check it again | β |
| to chop down a Christmas tree | β |
| to clean up a local <park/beach/highway> | β |
| to climb the neighbor’s tree | β |
| to color a coloring book at a coffee shop | β |
| to dance in the rain | β |
| to ding dong ditch the neighbors | β |
| to dinner | β |
| to dinner | β |
| to do | β |
| to do a puzzle at the library | β |
| to do caricature drawings of random people in a public place | β |
| to do some gardening | β |
| to donate unwanted things to charity | β |
| to dream about a white Christmas | β |
| to figure out where Scrooge went wrong | β |
| to find a Christmas tree at the store | β |
| to fly a drone | β |
| to fly a kite | β |
| to get cornrow braids | β |
| to get facials | β |
| to get foot massages | β |
| to get frozen yogurt topped with <candy/chocolate/sprinkles/cookie dough/gummy bears/fruit/nuts/whipped cream> | β |
| to get henna tattoos | β |
| to get manicures | β |
| to get pedicures | β |
| to graffiti train cars | β |
| to hang Christmas lights | β |
| to hang stockings | β |
| to have a bonfire at the beach | β |
| to have a random dance party in a public plaza | β |
| to have a snowball fight | β |
| to have a sword fight in public using <plungers/broomsticks/straws/wrapping paper rolls/umbrellas/breadsticks/pool noodles/cue sticks/toy lightsabers/rulers/sticks/bamboo shoots> | β |
| to have a water gun fight | β |
| to help an elderly neighbor do some chores | β |
| to help the neighbors move across town | β |
| to hold up signs outside the TV network studio | β |
| to jingle bells | β |
| to jump at a trampoline park | β |
| to learn origami at the community college | β |
| to light a menorah | β |
| to listen to a <rock/jazz/funk/punk/country/soul> band | β |
| to listen to the local boy’s choir perform <Bach/Beethoven/Mozart/Chopin/Brahms/Haydn/Wagner/Schubert/Tchaikovsky/Vivaldi> | β |
| to look at cars for sale | β |
| to look at homes for sale | β |
| to mail a letter to Santa | β |
| to make a mkeka | β |
| to make a safety evacuation map | β |
| to make a snowman | β |
| to make a wish while throwing a coin in a fountain | β |
| to make and pass out balloon animals at the park | β |
| to make flower arrangements | β |
| to make friendship bracelets | β |
| to make gingerbread houses | β |
| to make hand-painted T-shirts | β |
| to make homemade mini pizzas | β |
| to parkour hardcore | β |
| to participate in a neighborhood cleanup | β |
| to people watch at Walmart | β |
| to perform in a flash mob at the <airport/library/grocery store/mall/stadium/school/college/park/courthouse> | β |
| to pick <apples/oranges/strawberries/blueberries/peaches/lemons/limes/grapes> | β |
| to pick flowers | β |
| to pick flowers | β |
| to place a star atop the tree | β |
| to plant a tree in the forest | β |
| to play a board game | β |
| to play bingo at the community center | β |
| to play BitLife | β |
| to play BitLife together | β |
| to play catch | β |
| to play charades | β |
| to play dominoes | β |
| to play golf | β |
| to play in the rain | β |
| to play in the sprinklers at the local park | β |
| to play laser tag | β |
| to play paintball | β |
| to play tennis | β |
| to play the floor is lava | β |
| to play video games | β |
| to play with a dreidel | β |
| to post BitLife screenshots on Instagram | β |
| to practice sumo wrestling | β |
| to practice with a yo-yo in the park | β |
| to put antlers on animals and video record them | β |
| to rake leaves into piles and jump into them | β |
| to relax while floating in a natural hot spring | β |
| to ride bumper cars | β |
| to ride the halfpipe at the skate park | β |
| to ride the Polar Express | β |
| to roast chestnuts on an open fire | β |
| to scare random people by jumping out of the bushes at a local park | β |
| to scare random people while pretending to be statues | β |
| to see Santa | β |
| to see the Nutcracker | β |
| to send postcards to distant relatives | β |
| to shoot hoops | β |
| to sing | β |
| to sing karaoke | β |
| to spike some eggnog | β |
| to spin on chairs at a furniture store | β |
| to steal Christmas | β |
| to take a nap in a bed at a furniture store | β |
| to take a self-defense class at the police station | β |
| to take family holiday photos | β |
| to the amusement park | β |
| to the circus | β |
| to the country fair | β |
| to the drive-in movie theater | β |
| to the driving range | β |
| to the gym | β |
| to the library | β |
| to the movies | β |
| to the museum | β |
| to the park | β |
| to the park to give peanut butter and jelly sandwiches to homeless people | β |
| to the shooting range | β |
| to the symphony | β |
| to the water park | β |
| to the zoo | β |
| to throw paper airplanes off the bleachers at the local high school | β |
| to toilet paper the neighbor’s house | β |
| to troll people on the internet | β |
| to try and bring a snowman to life | β |
| to try archery | β |
| to visit family for the holidays | β |
| to volunteer at a food shelter | β |
| to volunteer at a pet shelter | β |
| to volunteer at a retirement community | β |
| to volunteer in a classroom at the local middle school | β |
| to watch | β |
| to watch <the stars/a meteor shower/the Moon/a comet/an eclipse/Mars/Mercury/Neptune/Saturn/Jupiter/Uranus/Venus/Pluto> with a high-powered telescope | β |
| to watch a <lunar/solar> eclipse | β |
| to watch a community play at a local theater | β |
| to watch a magic show at the community center | β |
| to watch a movie under the stars in the park | β |
| to watch a play | β |
| to watch a puppet show at the local library | β |
| to watch a random trial at the municipal court | β |
| to watch a rap battle contest | β |
| to watch a Rubik’s cube tournament at the local university | β |
| to watch a spelling bee at the local elementary school | β |
| to watch figure skating | β |
| to watch sumo wrestling | β |
| to watch toy unboxing videos | β |
| to work in a community garden | β |
| to wrap gifts | β |
| to write haikus | β |
| to write poems | β |
| tubing down the river | β |
| whale watching | β |
| white water rafting | β |
| yodeling | β |
Hobbies and activities you can take up to spend a year.
Social media platforms
| Channel | Likes Coefficient | Followers Coefficient |
|---|---|---|
| 0.5 | 0.5 | |
| 1 | 0.75 | |
| TikTok | 0.75 | 0.6 |
| 0.25 | 0.25 | |
| YouTube | 0.75 | 1 |
| Twitch | 0.75 | 0.7 |
| OnlyFans | 0.75 | 0.7 |
The platforms you can post on and how they scale.
Black market antiques
| Item Name | Fake Name | Min Value | Max Value | Commonness Score | Appeal Score | Storage Unit Only |
|---|---|---|---|---|---|---|
| cameo brooch | β | 50 | 5000 | 4 | 2 | β |
| mahogany phonograph | β | 3000 | 7500 | 3 | 2 | β |
| porcelain doll | β | 2000 | 10000 | 3 | 2 | β |
| 18th century grandfather clock | replica 18th century grandfather clock | 50000 | 100000 | 5 | 2 | β |
| Victorian pocket watch | replica Victorian pocket watch | 500 | 5000 | 5 | 2 | β |
| silk condom | β | 2000 | 6000 | 3 | 1 | β |
| Blue Willow china set | fake blue china set | 5000 | 15000 | 5 | 4 | β |
| Victorian silver tea set | replica Victorian silver tea set | 5000 | 30000 | 3 | 3 | β |
| Qing jade dragon carving | replica Qing jade dragon carving | 35000 | 2000000 | 2 | 5 | β |
| Ming vase | fake Ming vase | 50000 | 500000 | 3 | 5 | β |
| Tiffany Favrile glass vase | fake Tiffany Favrile glass vase | 10000 | 50000 | 4 | 4 | β |
| stoneware jug | fake stoneware jug | 1000 | 10000 | 3 | 1 | β |
| Japanese lacquered chest | replica Japanese lacquered chest | 3000000 | 9000000 | 2 | 4 | β |
| Black Bart’s ship helm | replica of Black Bart’s ship helm | 1500000 | 4000000 | 2 | 5 | β |
| teak mermaid masthead | glass mermaid masthead | 200000 | 450000 | 3 | 4 | β |
| Anne Bonny’s pirate ship bell | replica of Anne Bonny’s ship bell | 2000 | 7500 | 1 | 3 | β |
| Jimi Hendrix’s Fender Stratocaster guitar | replica Stratocaster guitar | 2000000 | 10000000 | 2 | 5 | β |
| Prince’s Cloud guitar | replica Cloud guitar | 350000 | 850000 | 2 | 5 | β |
| Miles Davis’ trumpet | replica of Miles Davis’ trumpet | 400000 | 1500000 | 2 | 5 | β |
| Barbra Streisand’s white microphone | white microphone | 300 | 1500 | 1 | 1 | β |
| Cher’s vocoder | vocoder | 15000 | 250000 | 3 | 2 | β |
| diamond pickaxe | fake diamond pickaxe | 50000000 | 100000000 | 2 | 5 | β |
| Dave Grohl’s drum sticks | drum sticks | 3000 | 15000 | 3 | 4 | β |
| Tudor chamber pot | replica Tudor chamber pot | 2000 | 8500 | 3 | 3 | β |
| ivory athletic cup | plastic athletic cup | 2500 | 6000 | 2 | 3 | β |
| Polaroid Model 95 camera | replica Polaroid camera | 200 | 800 | 3 | 2 | β |
| Georgian silver sugar tongs | steel sugar tongs | 700 | 1500 | 3 | 1 | β |
| Malling-Hansen Writing Ball typewriter | replica Writing Ball typewriter | 10000 | 100000 | 3 | 3 | β |
| antique kitsune mask | replica kitsune mask | 700 | 4000 | 3 | 3 | β |
| antique oni mask | replica oni mask | 700 | 4000 | 3 | 3 | β |
| antique Noh mask | replica Noh mask | 700 | 4000 | 3 | 3 | β |
| first-edition copy of ‘Beloved’ | copy of ‘Beloved’ | 10000 | 60000 | 3 | 3 | β |
| first-edition copy of Webster’s Dictionary | copy of Webster’s Dictionary | 10000 | 35000 | 3 | 2 | β |
| first-edition copy of ‘The Canterbury Tales’ | copy of ‘The Canterbury Tales’ | 10000 | 50000 | 3 | 3 | β |
| first-edition copy of ‘Romeo & Juliet’ | copy of ‘Romeo & Juliet’ | 25000 | 150000 | 3 | 5 | β |
| first-edition copy of ‘The Hobbit’ | copy of ‘The Hobbit’ | 100000 | 350000 | 3 | 3 | β |
| first-edition copy of the ‘Kama Sutra’ | copy of the ‘Kama Sutra’ | 500000 | 2500000 | 2 | 5 | β |
| first-edition copy of ‘Sex for Dummies’ | copy of ‘Sex for Dummies’ | 50 | 250 | 4 | 1 | β |
| first-edition copy of ‘Harry Potter & the Sorcerer’s Stone’ | copy of ‘Harry Potter & the Sorcerer’s Stone’ | 15000 | 80000 | 3 | 3 | β |
| first-edition copy of ‘Action Comics #1’ | reprint of ‘Action Comics #1’ | 175000 | 3200000 | 2 | 5 | β |
| first-edition copy of ‘Detective Comics #27’ | reprint of ‘Detective Comics #27’ | 250000 | 3500000 | 2 | 5 | β |
| first-edition copy of ‘Batman #1’ | reprint of ‘Batman #1’ | 300000 | 2200000 | 2 | 5 | β |
| Heart of the Ocean | fake Heart of the Ocean | 50000000 | 500000000 | 1 | 5 | β |
| timeless ocarina | plastic ocarina | 15000000 | 30000000 | 1 | 5 | β |
| taxidermied pole dancing raccoon | stuffed raccoon | 500 | 5000 | 3 | 1 | β |
| Salem witch’s broom | plastic Salem witch’s broom | 100 | 300 | 2 | 3 | β |
| 18th century ivory dildo | replica 18th-century dildo | 250 | 600 | 1 | 2 | β |
| 18th century crystal chandelier | fake crystal chandelier | 3000 | 15000 | 3 | 5 | β |
| Medieval chastity belt | replica Medieval chastity belt | 700 | 2500 | 2 | 4 | β |
| Qing mahjong set | replica Qing mahjong set | 500 | 2500 | 3 | 3 | β |
| golden trident | plastic trident | 200000 | 450000 | 1 | 5 | β |
Black market art
| Title | Genre | Min Value | Max Value | Commonness Score | Appeal Score | Storage Unit Only |
|---|---|---|---|---|---|---|
| Campbell’s Soup Can | Pop Art | 10000000 | 30000000 | 3 | 4 | β |
| The Starry Night | Post-Impressionism | 90000000 | 150000000 | 2 | 5 | β |
| The Persistence of Memory | Surrealism | 45000000 | 150000000 | 3 | 3 | β |
| The Scream | Expressionism | 100000000 | 200000000 | 2 | 5 | β |
| American Gothic | Regionalism | 2500000 | 10000000 | 3 | 4 | β |
| The Birth of Venus | Early Renaissance | 150000000 | 500000000 | 1 | 5 | β |
| Ram in a Thicket | Bronze Sculpture | 1500000 | 12000000 | 2 | 2 | β |
| Moai Statue | Rock Carving | 15000000 | 75000000 | 2 | 3 | β |
| Statue of David | Marble Statue | 100000000 | 700000000 | 1 | 5 | β |
| Bust of Nefertiti | Limestone Bust | 190000000 | 400000000 | 1 | 5 | β |
| Girl with a Pearl Earring | Realism | 80000000 | 200000000 | 1 | 5 | β |
| Water Lilies | Impressionism | 35000000 | 70000000 | 3 | 4 | β |
| Mona Lisa | High Renaissance | 500000000 | 5000000000 | 1 | 5 | β |
| Capitoline Wolf | Bronze Sculpture | 15000000 | 85000000 | 2 | 3 | β |
| Guernica | Cubism | 75000000 | 200000000 | 3 | 4 | β |
| Drowning Girl | Pop Art | 15000000 | 95000000 | 5 | 3 | β |
| Woman III | Abstract Expressionism | 40000000 | 137500000 | 3 | 3 | β |
| Convergence | Abstract Expressionism | 55000000 | 300000000 | 3 | 2 | β |
| The Two Fridas | Surrealism | 15000000 | 35000000 | 3 | 4 | β |
| Love is in the Bin | Street Art | 10000000 | 26000000 | 3 | 5 | β |
| Poker Game | American Kitsch | 10000 | 100000 | 5 | 2 | β |
| Sunflowers | Post-Impressionism | 45000000 | 100000000 | 3 | 3 | β |
| Balloon Dog | Stainless Steel Sculpture | 15000000 | 60000000 | 1 | 4 | β |
| Girl with Balloon | Street Art | 1000000 | 22000000 | 5 | 5 | β |
| Four Marilyns | Pop Art | 1000000 | 36000000 | 3 | 5 | β |
| Hopeless | Pop Art | 15000000 | 25000000 | 3 | 4 | β |
| The Treachery of Images | Surrealism | 25000000 | 60000000 | 4 | 3 | β |
| Six Persimmons | Ink Handscroll | 50000000 | 100000000 | 3 | 2 | β |
| Great Wave off Kanagawa | Woodblock Print | 80000000 | 150000000 | 3 | 5 | β |
| Pine Trees | Ink Print | 10000000 | 35000000 | 3 | 2 | β |
| Sansui Chokan | Ink Hanging Scroll | 5000000 | 50000000 | 3 | 3 | β |
| Red Cliff | Ink Handscroll | 25000000 | 140000000 | 2 | 5 | β |
| The Rongxi Studio | Ink Handscroll | 5000000 | 25000000 | 3 | 3 | β |
| The Kiss | Symbolism | 80000000 | 135000000 | 2 | 5 | β |
| The Dance | Fauvism | 50000000 | 200000000 | 3 | 3 | β |
| Christina’s World | Magical Realism | 37000 | 1500000 | 5 | 2 | β |
| Jimson Weed | American Modernism | 10000000 | 44000000 | 2 | 4 | β |
| A.B. Still | Abstract | 264000 | 34000000 | 3 | 5 | β |
| Untitled | Abstract | 21000 | 110000000 | 4 | 5 | β |
| Meules | Impressionism | 2500000 | 110000000 | 3 | 5 | β |
| Abstraktes Bild | Abstract | 600000 | 47000000 | 4 | 5 | β |
Black market automobiles
| Make | Type | Min Value | Max Value | Cool Score | Ease of Theft Score | Commonness Score | Storage Unit Only |
|---|---|---|---|---|---|---|---|
| 1908 Ford | Coupe | 100000 | 250000 | 3 | 3 | 3 | β |
| 1963 Shelby | Coupe | 1000000 | 2000000 | 5 | 2 | 2 | β |
| 1973 Ferrari | Coupe | 500000 | 750000 | 5 | 1 | 2 | β |
| 1997 Nissan | Coupe | 500000 | 750000 | 5 | 2 | 3 | β |
| 2002 Ferrari | Coupe | 3700000 | 11000000 | 5 | 1 | 1 | β |
| 2017 Ferrari | Coupe | 2900000 | 2900000 | 5 | 1 | 1 | β |
| 1967 Toyota | Coupe | 1500000 | 2900000 | 5 | 2 | 2 | β |
| 2012 Lexus | Coupe | 1100000 | 2500000 | 5 | 2 | 3 | β |
| 1968 Ford | Coupe | 11500000 | 22500000 | 5 | 2 | 2 | β |
| 1967 Mazda | Coupe | 650000 | 1100000 | 5 | 2 | 1 | β |
| 1970 Nissan | Coupe | 900000 | 1500000 | 5 | 1 | 3 | β |
| 2014 Lamborghini | Coupe | 11200000 | 16300000 | 5 | 2 | 3 | β |
| 1962 Ferrari | Coupe | 70000000 | 95000000 | 5 | 1 | 1 | β |
| 1963 Aston Martin | Coupe | 21500000 | 30000000 | 5 | 2 | 4 | β |
| 1954 Mercedes-Benz | Coupe | 32500000 | 39600000 | 5 | 1 | 2 | β |
| 1939 Mercedes-Benz | Coupe | 15700000 | 21200000 | 5 | 2 | 1 | β |
| 2009 Mercedes-Benz | Coupe | 2700000 | 3900000 | 5 | 2 | 2 | β |
| 1965 Shelby | Coupe | 6900000 | 8400000 | 5 | 2 | 3 | β |
| 1931 Duesenberg | Coupe | 14400000 | 21700000 | 5 | 1 | 1 | β |
| 1989 Porsche | Coupe | 550000 | 1200000 | 5 | 1 | 4 | β |
| 1970 Plymouth | Coupe | 650000 | 1200000 | 5 | 2 | 3 | β |
| 2006 Mitsubishi | Coupe | 220000 | 890000 | 5 | 2 | 4 | β |
| 2008 Rolls-Royce | Coupe | 4200000 | 5500000 | 5 | 1 | 3 | β |
| 2019 Rolls-Royce | SUV | 1900000 | 2750000 | 5 | 1 | 2 | β |
| 2021 Rolls-Royce | Sedan | 650000 | 980000 | 5 | 1 | 4 | β |
| 1931 Bentley | Coupe | 11000000 | 16500000 | 5 | 1 | 1 | β |
| 1999 Bentley | Coupe | 4500000 | 7500000 | 5 | 1 | 2 | β |
| 2021 Bentley | Coupe | 2500000 | 5500000 | 5 | 1 | 4 | β |
| 2019 Lamborghini | Coupe | 4200000 | 6300000 | 5 | 2 | 3 | β |
| 2016 Lamborghini | Coupe | 2200000 | 3600000 | 5 | 2 | 2 | β |
| 2012 Lamborghini | Coupe | 3600000 | 5700000 | 5 | 1 | 4 | β |
| 2000 Nissan | Coupe | 11000000 | 17000000 | 5 | 1 | 1 | β |
| 1974 BMW | Coupe | 650000 | 1800000 | 5 | 2 | 2 | β |
| 1980 BMW | Coupe | 920000 | 1780000 | 5 | 3 | 4 | β |
| 1957 BMW | Coupe | 2900000 | 4200000 | 5 | 2 | 2 | β |
| 1997 Porsche | Coupe | 3900000 | 4990000 | 5 | 2 | 2 | β |
| 2007 Porsche | Coupe | 890000 | 1750000 | 5 | 1 | 4 | β |
| 1989 Porsche | Coupe | 2700000 | 3450000 | 5 | 2 | 3 | β |
| 1965 Aston Martin | Coupe | 2200000 | 4200000 | 5 | 3 | 1 | β |
| 1998 McLaren | Coupe | 27000000 | 33000000 | 5 | 2 | 2 | β |
| 1970 Plymouth | Coupe | 3600000 | 4800000 | 5 | 3 | 2 | β |
| 1969 Dodge | Coupe | 770000 | 1920000 | 5 | 2 | 3 | β |
| 1963 Chevrolet | Coupe | 820000 | 1890000 | 5 | 2 | 1 | β |
| 2000 Honda | Coupe | 350000 | 970000 | 5 | 2 | 4 | β |
| 1939 Alfa Romeo | Coupe | 2900000 | 3400000 | 5 | 2 | 4 | β |
| 1960 Maserati | Coupe | 15000000 | 30000000 | 5 | 1 | 2 | β |
| 2004 Pagani | Coupe | 1700000 | 3600000 | 5 | 1 | 3 | β |
| 2010 Koenigsegg | Coupe | 1780000 | 33000000 | 5 | 1 | 3 | β |
| 1985 Audi | Coupe | 900000 | 1900000 | 5 | 3 | 2 | β |
| 1956 Mercedes-Benz | Coupe | 950000 | 2400000 | 5 | 2 | 1 | β |
Black market exhibit dumb scenarios
| Hero Min Age | Hero Max Age | Min Condition | Max Condition | Exhibit Category | Title | Condition Impact 1 | Condition Impact 2 |
|---|---|---|---|---|---|---|---|
| β | β | β | β | taxidermy | Disturbed Display | -3 | 2 |
| β | β | β | β | taxidermy | Disturbed Display | 2 | 1 |
| β | β | β | β | historical artifact, antiques, fashion, sports memorabilia, weapon | Unwelcome Guests | -4 | 2 |
| β | β | β | β | art | Unwelcome Guests | -4 | 2 |
| β | β | β | β | animal | Disturbed Display | -3 | 2 |
| β | β | β | β | art | Location | 2 | -3 |
| β | β | β | β | taxidermy | Perched | -2 | 2 |
| β | β | β | β | auto | Disturbed Display | -2 | 1 |
| β | β | β | β | antiques, historical artifact, weapon | School Project | -2 | β |
| β | β | β | β | taxidermy | School Project | -2 | β |
| β | β | β | β | animal | School Project | -2 | β |
| β | β | β | β | sports memorabilia | Fanatic Guest | 2 | -2 |
| β | β | β | β | taxidermy | Disturbed Display | 2 | 2 |
| β | β | β | β | fashion | Fanatic Guest | 2 | -2 |
| β | β | β | β | β | Disturbed Display | 2 | -2 |
| β | β | β | β | fashion | Exhibit Maintenance | -2 | 1 |
| β | β | β | β | auto | Disturbed Display | β | 1 |
| β | β | β | β | taxidermy | Protest | -2 | -1 |
| β | β | β | β | β | Situation | -1 | 2 |
| β | β | β | β | auto | Situation | 1 | -1 |
| β | β | β | β | β | Situation | 1 | 2 |
| β | β | β | β | β | Situation | -2 | -1 |
| β | β | β | β | β | Situation | 1 | -1 |
| β | β | β | β | β | Situation | 1 | -1 |
Black market fashion
| Item Name | Fake Name | Min Value | Max Value | Commonness Score | Appeal Score | Storage Unit Only |
|---|---|---|---|---|---|---|
| Chanel chain-strap handbag | fake Chanel handbag | 1000 | 5000 | 5 | 3 | β |
| Hermes Birkin bag | fake Hermes purse | 10000 | 250000 | 5 | 3 | β |
| original Air Jordans | fake Air Jordans | 500 | 10000 | 3 | 4 | β |
| Tudor-era pantaloons | replica Tudor-era pantaloons | 1000 | 4500 | 2 | 2 | β |
| toga picta | replica toga | 500000 | 25000000 | 3 | 3 | β |
| Elizabethan ruff | replica Elizabethan ruff | 3000 | 15000 | 1 | 1 | β |
| Robin Hood’s cap | replica of Robin Hood’s cap | 45000 | 175000 | 2 | 3 | β |
| Medieval executioner’s hood | replica Medieval executioner’s hood | 3000 | 15000 | 2 | 2 | β |
| prehistoric fur loincloth | fake fur loincloth | 45000 | 350000 | 2 | 2 | β |
| Joan of Arc’s chainmail tunic | replica of Joan of Arc’s chainmail tunic | 3000000 | 15000000 | 1 | 4 | β |
| horned Viking helmet | replica Viking helmet | 15000 | 175000 | 3 | 2 | β |
| alchemist’s white gloves | white gloves | 2500000 | 400000 | 1 | 4 | β |
| crystal glass slippers | fake glass slippers | 1500000 | 4000000 | 1 | 5 | β |
| vintage 1920s flapper dress | replica 1920’s flapper dress | 500 | 5000 | 3 | 3 | β |
| Empress Shoken’s furisode | replica of Empress Shoken’s silk kimono | 2000000 | 7500000 | 3 | 4 | β |
| Qing silk cheongsam | fake silk cheongsam | 500000 | 2000000 | 3 | 3 | β |
| Paco Rabanne disc dress | fake Paco Rabanne disc dress | 4000 | 45000 | 4 | 3 | β |
| Chanel little black dress | fake Chanel little black dress | 250000 | 1000000 | 5 | 4 | β |
| vintage Armani blazer | fake Armani blazer | 500 | 7000 | 5 | 3 | β |
| original Yeezys | fake Yeezys | 35 | 1800000 | 2 | 2 | β |
| blue satin Manolo Blahnik Hangisi | fake blue satin Manolo Blahnik Hangisi | 875 | 2500 | 2 | 5 | β |
| vintage Chanel slingbacks | fake Chanel slingbacks | 500 | 3000 | 3 | 4 | β |
| Prada combat boots | fake Prada combat boots | 975 | 2000 | 4 | 5 | β |
| Trojan helmet | replica Trojan helmet | 100000 | 1000000 | 2 | 3 | β |
| vintage YSL smoking tuxedo | fake YSL smoking tuxedo | 1000 | 3500 | 3 | 4 | β |
| vintage Burberry trench coat | fake Burberry trench coat | 900 | 2500 | 3 | 3 | β |
| Victorian mourning dress | replica Victorian mourning dress | 700 | 5000 | 3 | 2 | β |
| original Chanel tweed suit | fake Chanel tweed suit | 8500 | 14000 | 3 | 3 | β |
| silk Nguyen dynasty ao dai | replica Nguyen dynasty ao dai | 3000 | 15000 | 3 | 3 | β |
| Mughal sari | fake Mughal sari | 5000 | 20000 | 3 | 3 | β |
| antique kabuki costume | replica kabuki costume | 6500 | 25000 | 3 | 1 | β |
| antique Joseon Hanbok | replica Joseon Hanbok | 4000 | 15000 | 2 | 3 | β |
| antique Shang dynasty hanfu | replica Shang dynasty hanfu | 15000 | 45000 | 1 | 4 | β |
| BitLife hoodie | fake BitLife hoodie | 100 | 5000 | 3 | 5 | β |
| Elvis’ rhinestone jumpsuit | replica of Elvis’ rhinestone jumpsuit | 450000 | 1500000 | 3 | 5 | β |
| Beatrix Kiddo’s yellow jumpsuit | replica of Beatrix Kiddo’s yellow jumpsuit | 35000 | 250000 | 2 | 5 | β |
| Madonna’s cone bra corset | replica of Madonna’s cone bra corset | 20000 | 52000 | 1 | 5 | β |
| Britney Spears’ red latex jumpsuit | replica of Britney Spears’ red latex jumpsuit | 75000 | 350000 | 2 | 5 | β |
| Jennifer Lopez’s Versace dress | replica of Jennifer Lopez’s Versace dress | 6000 | 13000 | 2 | 5 | β |
| Bjork’s swan dress | replica of Bjork’s swan dress | 9500 | 17000 | 2 | 2 | β |
| Lady Gaga’s meat dress | replica of Lady Gaga’s meat dress | 35000 | 100000 | 1 | 2 | β |
| Andre Leon Talley’s cape | replica of Andre Leon Talley’s cape | 17000 | 30000 | 2 | 2 | β |
| Anna Wintour’s sunglasses | sunglasses | 350 | 1500 | 2 | 1 | β |
| Naomi Campbell’s hazmat suit | hazmat suit | 1000 | 2500 | 1 | 1 | β |
| Glinda’s pink dress | replica of Glinda’s pink dress | 450000 | 1500000 | 1 | 5 | β |
| Audrey Hepburn’s black Givenchy dress | replica of Audrey Hepburn’s black Givenchy dress | 650000 | 800000 | 2 | 5 | β |
| Pamela Anderson’s red swimsuit | replica of Pamela Anderson’s red swimsuit | 2500 | 6000 | 3 | 4 | β |
| Marilyn Monroe’s cocktail dress | replica of Marilyn Monroe’s cocktail dress | 2400000 | 4600000 | 2 | 5 | β |
| Marie Antoinette’s pink Converse | fake pink Converse | 2000 | 8000 | 2 | 3 | β |
| Queen Victoria’s wedding dress | replica of Queen Victoria’s wedding dress | 8000000 | 36000000 | 1 | 5 | β |
| Taylor Swift’s red scarf | replica of Taylor Swift’s red scarf | 4500 | 10000 | 4 | 5 | β |
| Selena’s purple jumpsuit | replica of Selena’s purple jumpsuit | 150000 | 400000 | 3 | 5 | β |
Black market gemstones
| Gemstone | Min Carats | Max Carats | Super Max Carats | First Carat Price | Min Cost | Max Cost | Commonness Score |
|---|---|---|---|---|---|---|---|
| amethyst | 10 | 20 | 40 | 50 | 40 | 2500 | 5 |
| aquamarine | 10 | 20 | 35 | 200 | 30 | 22000 | 5 |
| diamond | 10 | 20 | 60 | 5000 | 300 | 71000000 | 3 |
| emerald | 10 | 20 | 50 | 4000 | 300 | 5500000 | 4 |
| ruby | 10 | 20 | 50 | 2500 | 300 | 63000000 | 3 |
| sapphire | 10 | 20 | 50 | 2000 | 300 | 4000000 | 3 |
| topaz | 10 | 20 | 30 | 50 | 30 | 1900 | 5 |
| zircon | 10 | 20 | 25 | 200 | 170 | 2000 | 5 |
| padparadscha | 10 | 20 | 35 | 3500 | 300 | 4500000 | 2 |
| jadeite | 10 | 20 | 40 | 7000 | 350 | 30000000 | 2 |
| blue diamond | 10 | 20 | 60 | 8000 | 500 | 80000000 | 1 |
| pink diamond | 10 | 20 | 60 | 6500 | 500 | 75000000 | 1 |
| yellow diamond | 10 | 20 | 60 | 4500 | 500 | 35000000 | 2 |
| bixbite | 10 | 20 | 25 | 2000 | 250 | 100000 | 1 |
| black pearl | 10 | 20 | 25 | 15 | 90 | 700 | 4 |
| pink pearl | 10 | 20 | 25 | 10 | 75 | 550 | 3 |
| pearl | 10 | 20 | 25 | 5 | 40 | 415 | 5 |
| black opal | 10 | 20 | 30 | 300 | 30 | 2000 | 3 |
Black market historical artifacts
| Item Name | Fake Name | Min Value | Max Value | Appeal Score | Commonness Score | Storage Unit Only |
|---|---|---|---|---|---|---|
| Roman aureus | replica Roman aureus | 1000 | 10000 | 4 | 2 | β |
| Egyptian ankh | replica Egyptian ankh | 6500 | 9000 | 3 | 3 | β |
| Triceratops horn | replica Triceratops horn | 3000000 | 9000000 | 5 | 2 | β |
| T-Rex skull | replica T-Rex skull | 6000000 | 20000000 | 5 | 1 | β |
| Egyptian obelisk | replica Egyptian obelisk | 2200000000 | 4200000000 | 5 | 1 | β |
| Anubis statue | plastic Anubis statue | 20000000 | 420000000 | 2 | 4 | β |
| mummified cat | fake mummified cat | 90000 | 130000 | 2 | 3 | β |
| mummified dog | fake mummified dog | 80000 | 120000 | 2 | 3 | β |
| golden railroad spike | iron railroad spike | 2000000 | 3600000 | 3 | 2 | β |
| Mayan funerary urn | replica Mayan funerary urn | 18000 | 30000 | 3 | 3 | β |
| Mayan ceremonial goblet | replica Mayan goblet | 21000 | 38000 | 3 | 3 | β |
| Navajo clay pot | replica Navajo clay pot | 42000 | 136000 | 4 | 3 | β |
| Incan incense burner | replica Incan incense burner | 6500 | 9000 | 2 | 3 | β |
| Egyptian ibis effigy | replica Egyptian ibis effigy | 26000 | 72000 | 3 | 4 | β |
| samurai helmet | replica samurai helmet | 30000 | 65000 | 3 | 4 | β |
| samurai armor | replica samurai armor | 90000 | 180000 | 5 | 2 | β |
| Velociraptor claw fossil | replica Velociraptor claw | 120000 | 190000 | 4 | 2 | β |
| Stegosaurus spike fossil | replica Stegosaurus spike fossil | 220000 | 400000 | 3 | 3 | β |
| coprolite | fake coprolite | 3500 | 6700 | 1 | 5 | β |
| fossilized dinosaur skin | fake fossilized dinosaur skin | 12000 | 17000 | 2 | 2 | β |
| ammonite fossil | fake ammonite fossil | 1200 | 1500 | 3 | 4 | β |
| suit of Medieval knight’s armor | fake suit of Medieval knight’s armor | 65000 | 90000 | 3 | 5 | β |
| Celtic torc necklace | fake Celtic torc necklace | 60000 | 160000 | 4 | 3 | β |
| Michelangelo’s sculpting tools | sculpting tools | 2700000 | 4200000 | 5 | 1 | β |
| King Tut’s death mask | replica of King Tut’s death mask | 65000000 | 90000000 | 5 | 1 | β |
| Blackbeard’s booty | replica of Blackbeard’s booty | 40000000 | 60000000 | 5 | 1 | β |
| Queen Victoria’s bloomers | bloomers | 275000 | 5500000 | 1 | 4 | β |
| Tycho Brahe’s brass nose | replica of Tycho Brahe’s brass nose | 75000 | 95000 | 1 | 1 | β |
| Napoleon’s toothbrush | replica of Napoleon’s toothbrush | 6000 | 9000 | 1 | 1 | β |
| Jane Austen’s writing desk | replica of Jane Austen’s writing desk | 300000 | 400000 | 1 | 2 | β |
| Julius Caesar’s golden laurel crown | replica of Caesar’s laurel crown | 1000000000 | 2000000000 | 5 | 1 | β |
| Alexander the Great’s breastplate | replica of Alexander’s breastplate | 900000000 | 1200000000 | 4 | 1 | β |
| terracotta soldier | fake terracotta soldier | 220000000 | 420000000 | 4 | 2 | β |
| Crown of Saint Stephen | replica of the Crown of Saint Stephen | 500000000 | 700000000 | 5 | 1 | β |
| Aztec Sun Stone | replica of the Aztec Sun Stone | 150000000 | 220000000 | 5 | 2 | β |
| Hope Diamond | replica of the Hope Diamond | 200000000 | 350000000 | 5 | 1 | β |
| Magellan’s map | replica of Magellan’s map | 1200000 | 1700000 | 2 | 3 | β |
| dinosaur egg | fake dinosaur egg | 650000 | 800000 | 3 | 3 | β |
| Beethoven’s ear trumpet | replica of Beethoven’s ear trumpet | 500000 | 2000000 | 1 | 4 | β |
| Mozart’s fortepiano | replica of Mozart’s fortepiano | 10000000 | 30000000 | 2 | 3 | β |
| Inca ceremonial knife | replica Inca ceremonial knife | 55000 | 75000 | 2 | 3 | β |
| Nebra Sky Disk | replica of the Nebra Sky Disk | 11000000 | 22000000 | 2 | 1 | β |
| Battersea Shield | replica Battersea Shield | 950000 | 1400000 | 3 | 1 | β |
| Ishtar Gate | regular Ishtar Gate | 500000000 | 1000000000 | 5 | 1 | β |
| prehistoric stone hand axe | regular stone axe | 280000 | 450000 | 1 | 5 | β |
| Lycurgus Cup | replica Lycurgus Cup | 250000 | 500000 | 3 | 2 | β |
| Scythian golden comb | replica Scythian golden comb | 170000 | 240000 | 4 | 3 | β |
| set of Roman bone dice | replica Roman bone dice | 45000 | 65000 | 1 | 4 | β |
Black market museum dumb scenarios
| Hero Min Age | Hero Max Age | Min Traffic | Max Traffic | Title | Traffic Impact 1 | Traffic Impact 2 | Traffic Impact 3 |
|---|---|---|---|---|---|---|---|
| β | β | β | 50 | Engagement Drive | 2 | 1 | 1 |
| β | β | β | β | Collaborative Exhibit | 2 | β | 1 |
| β | β | β | β | Engagement Drive | 1 | 2 | 1 |
| β | β | β | β | Museum Decor | 1 | -1 | 3 |
| β | β | β | β | Competition | -1 | -2 | 1 |
| β | β | β | β | Competition | -1 | 1 | 1 |
| β | β | β | β | Competition | 2 | 1 | 1 |
| β | β | β | β | Museum Management | -2 | 2 | β |
| β | β | β | β | Museum Management | 2 | -1 | -3 |
| β | β | β | β | Museum Management | -1 | -1 | -2 |
| β | β | β | β | Museum Promotion | 2 | 2 | 2 |
| 21 | β | β | β | Museum Promotion | 2 | β | 2 |
| β | β | β | β | Museum Promotion | 2 | 2 | 2 |
| β | β | β | β | Museum Promotion | 2 | -1 | 3 |
| β | β | β | β | Museum Promotion | 1 | β | 1 |
Black market sports memorabilia
| Item Name | Fake Name | Min Value | Max Value | Commonness Score | Appeal Score | Storage Unit Only |
|---|---|---|---|---|---|---|
| Babe Ruth autographed baseball | autographed baseball | 1000000 | 3000000 | 3 | 4 | β |
| Kobe Bryant autographed basketball | autographed basketball | 1500000 | 5000000 | 5 | 5 | β |
| Michael Jordan’s left sock | sock | 250 | 600 | 1 | 1 | β |
| Kobe Bryant’s Lakers jersey | basketball jersey | 40000 | 85000 | 3 | 4 | β |
| Peyton Manning’s Colts jersey | football jersey | 20000 | 30000 | 2 | 2 | β |
| 2003 Topps LeBron James card | replica of a 2003 Topps LeBron James card | 500000 | 700000 | 1 | 3 | β |
| Babe Ruth’s red socks | socks | 1500 | 2500 | 2 | 2 | β |
| Cristiano Ronaldo’s shin guards | shin guards | 1100 | 2200 | 2 | 1 | β |
| 2014 Panini Prizm Lionel Messi card | replica of a 2014 Panini Prizm Lionel Messi card | 80000 | 300000 | 2 | 4 | β |
| Steph Curry’s mouthguard | mouthguard | 1500 | 2500 | 3 | 2 | β |
| Serena Williams’ tennis bracelet | bracelet | 900000 | 1200000 | 3 | 3 | β |
| Flo-Jo’s running shoes | running shoes | 4000 | 6000 | 1 | 1 | β |
| Simone Biles’ Olympic leotard | leotard | 2500 | 4500 | 4 | 5 | β |
| Nancy Kerrigan’s ice skates | ice skates | 6500 | 8000 | 2 | β | β |
| Danica Patrick’s stick shift | gear shift | 1800 | 2700 | 3 | 3 | β |
| Lance Armstrong’s helmet | helmet | 500 | 750 | 1 | 1 | β |
| Shaq’s boombox | boombox | 1800 | 2200 | 1 | 1 | β |
| Muhammad Ali’s boxing gloves | boxing gloves | 150000 | 170000 | 2 | 4 | β |
| Mike Tyson signed boxing trunks | boxing trunks | 90000 | 110000 | 2 | 4 | β |
| Michael Phelps’ bong | bong | 1200 | 1800 | 2 | 2 | β |
| Tom Brady’s deflated ball | deflated football | 4000 | 6000 | 3 | 1 | β |
| Super Bowl III ticket stub | ticket stub | 750 | 900 | 2 | 1 | β |
| 1952 Topps Mickey Mantle card | replica of a 1952 Topps Mickey Mantle card | 160000 | 320000 | 3 | 4 | β |
| T206 Honus Wagner card | replica of a T206 Honus Wagner card | 5500000 | 7500000 | 1 | 4 | β |
| 1979 O-Pee-Chee Wayne Gretzky card | replica of a 1979 O-Pee-Chee Wayne Gretzky card | 11000000 | 14000000 | 2 | 3 | β |
| Kelly Oubre’s basketball shorts | basketball shorts | 15000 | 45000 | 4 | 5 | β |
| Shaq’s game-worn shoe | basketball shoe | 2500 | 4000 | 2 | 1 | β |
| Dwayne Johnson’s wrestling briefs | wrestling briefs | 20000 | 45000 | 2 | 1 | β |
| Baba Booey’s opening pitch baseball | baseball | 3500 | 5000 | 4 | 2 | β |
| Mia Hamm’s World Cup cleats | soccer cleats | 3000 | 4000 | 2 | 1 | β |
| Floyd Mayweather’s championship belt | championship belt | 150000 | 275000 | 3 | 5 | β |
| Lindsey Vonn’s skis | skis | 15000 | 25000 | 3 | 3 | β |
| Martina Navratilova’s tennis racket | tennis racket | 8000 | 12000 | 3 | 2 | β |
| O.J. Simpson autographed football | football | 200 | 500 | 2 | 1 | β |
| Roger Federer’s grass-stained tennis shorts | tennis shorts | 15000 | 30000 | 4 | 2 | β |
| Usain Bolt’s relay baton | relay baton | 2700 | 4200 | 3 | 2 | β |
| Michael Phelps’ swim goggles | swim goggles | 60000 | 75000 | 4 | 3 | β |
| Tony Hawk’s Birdhouse skateboard prototype | skateboard | 25000 | 55000 | 2 | 3 | β |
| Shaun White autographed can of Mountain Dew | soda can | 2500 | 3500 | 1 | 1 | β |
| Ronda Rousey’s MMA grappling gloves | grappling gloves | 12000 | 18000 | 2 | 2 | β |
| Conor McGregor’s FU pinstripe suit | pinstripe suit | 250000 | 400000 | 3 | 4 | β |
| Chloe Kim’s Roxy snowboard prototype | snowboard | 25000 | 55000 | 4 | 4 | β |
| Tiger Woods’ burner phone | cell phone | 20000 | 35000 | 2 | 3 | β |
| John Cena’s WWE armband | armband | 50000 | 95000 | 3 | 3 | β |
| Novak Djokovic’s clay-stained tennis shorts | tennis shorts | 15000 | 30000 | 4 | 2 | β |
| Cristiano Ronaldo’s first bronze bust | replica of Cristiano Ronaldo’s first bronze bust | 250000 | 420000 | 2 | 2 | β |
| Shaun White’s snowboard bindings | snowboard bindings | 3600 | 4800 | 2 | 3 | β |
| Wayne Gretzky’s front tooth | replica of Wayne Gretzky’s front tooth | 7500 | 10000 | 1 | 3 | β |
| 1992 U.S. Olympic \u201cDream Team\u201d press pass | replica of a 1992 U.S. Olympic “Dream Team” press pass | 700 | 900 | 1 | 2 | β |
Black market street chemist products
| Name | Min Price | Max Price | Health Impact | Happiness Impact | Smarts Impact | Looks Impact | Risk Score |
|---|---|---|---|---|---|---|---|
| dingle dangle | 500 | 2500 | 1 | 3 | β | -1 | 2 |
| horny cougar weed | 100 | 350 | -1 | 1 | β | 2 | 3 |
| glitter | 50 | 120 | β | 1 | -1 | β | 1 |
| chadderall | 1500 | 3500 | β | β | -3 | 3 | 4 |
| devil dust | 250 | 800 | β | -2 | 2 | 1 | 3 |
| coyote | 50 | 200 | -2 | 1 | β | β | 5 |
| nitro | 1000 | 3700 | -2 | 3 | 1 | β | 5 |
| phallium | 60 | 290 | 2 | 1 | β | β | 2 |
| bath pepper | 200 | 750 | β | -1 | 3 | 1 | 5 |
| stimmy | 75 | 300 | 3 | -1 | -1 | -1 | 3 |
| yaya | 150 | 400 | β | 2 | 2 | -1 | 3 |
| messalotamine | 30 | 130 | -2 | 2 | β | -2 | 4 |
| MBDA | 65 | 165 | β | 2 | 1 | β | 2 |
| lolly | 80 | 160 | β | 3 | 1 | β | 2 |
| ascetic | 1100 | 1900 | β | 2 | 3 | β | 1 |
| ketazyn | 20 | 120 | β | 2 | 1 | -1 | 2 |
| moxihardone | 70 | 170 | -1 | 2 | β | β | 3 |
Black market taxidermy discard locations
| Location | Commonness Score | Risk Score |
|---|---|---|
| Restaurant | 5 | 5 |
| Shopping Mall | 3 | 4 |
| Forever 21 | 2 | 4 |
| Beach | 5 | 2 |
| Mountain | 5 | 1 |
| Forest | 5 | 1 |
| Poolside | 3 | 3 |
| Landfill | 3 | 1 |
| Old Shed | 4 | 1 |
| Abandoned Building | 3 | 2 |
| Unmarked Grave | 1 | 1 |
| Lake | 4 | 1 |
| Alley | 3 | 5 |
| Construction Site | 4 | 5 |
| Dumpster | 5 | 5 |
| River | 2 | 3 |
| Slaughterhouse | 1 | 4 |
| Frat House | 2 | 3 |
| Sorority House | 2 | 3 |
| Brewery | 3 | 3 |
| Vineyard | 3 | 3 |
| Wine Cellar | 3 | 1 |
| Car Dealer | 2 | 2 |
| Bike Path | 4 | 3 |
| Tree | 3 | 2 |
| Fountain | 3 | 5 |
| Hiking Trail | 3 | 2 |
| Manhole | 2 | 4 |
| Junkyard | 3 | 1 |
Black market vendor dumb scenarios
| Hero Min Age | Hero Max Age | Min Attitude | Max Attitude | Title | Attitude Impact 1 | Karma Impact 1 | Attitude Impact 2 |
|---|---|---|---|---|---|---|---|
| 18 | β | β | β | Surprise | β | 1 | -2 |
| 18 | β | β | β | Cargo | 2 | -2 | β |
| 18 | β | β | β | Cargo | 2 | 2 | -2 |
| 18 | β | β | β | Cargo | 2 | -2 | -1 |
| 18 | β | β | β | Surprise | -1 | β | 2 |
| 18 | β | β | β | Surprise | 1 | 1 | -1 |
| 18 | β | β | β | Cargo | 2 | -2 | -1 |
| 18 | β | β | β | Hustle | β | β | 2 |
| 18 | β | β | β | Alibi | 3 | -2 | 1 |
| 18 | β | β | β | Alibi | 3 | -2 | -3 |
| 18 | β | β | β | Alibi | 2 | -2 | -2 |
| 18 | β | β | β | Alibi | 2 | -2 | -1 |
Black market weapons
| Item Name | Fake Name | Min Value | Max Value | Commonness Score | Appeal Score | Damage Score |
|---|---|---|---|---|---|---|
| blowgun | β | 300 | 5000 | 3 | 2 | 1 |
| crossbow | β | 250 | 1500 | 3 | 3 | 2 |
| trebuchet | β | 30000 | 150000 | 3 | 3 | 4 |
| slingshot | β | 10 | 55 | 2 | 1 | 1 |
| javelin | plastic javelin | 300 | 2500 | 4 | 2 | 3 |
| silver mace | steel mace | 2500 | 3700 | 3 | 4 | 3 |
| lance | β | 1500 | 2800 | 2 | 3 | 3 |
| scythe | β | 1850 | 2700 | 3 | 4 | 4 |
| guillotine | replica guillotine | 57000 | 76000 | 2 | 4 | 5 |
| Revolutionary War musket | replica Revolutionary War musket | 34000 | 72000 | 1 | 5 | 2 |
| blunderbuss | replica blunderbuss | 6000 | 9000 | 2 | 4 | 2 |
| scimitar | replica scimitar | 399 | 1100 | 2 | 3 | 3 |
| shuriken | replica shuriken | 99 | 199 | 3 | 3 | 1 |
| stiletto | replica stiletto | 120 | 290 | 3 | 2 | 3 |
| Bruce Lee’s nunchuks | nunchuks | 84000 | 111000 | 1 | 5 | 2 |
| Masamune katana | replica Masamune katana | 2500 | 3700 | 2 | 3 | 5 |
| broadsword | replica broadsword | 1700 | 2900 | 3 | 2 | 3 |
| longbow | replica longbow | 249 | 799 | 4 | 2 | 2 |
| Sword of Goujian | replica Sword of Goujian | 900000 | 1200000 | 1 | 4 | 4 |
| William Wallace’s sword | replica of William Wallace’s Sword | 1800000 | 2500000 | 1 | 5 | 5 |
| Mons Meg | replica Mons Meg | 190000 | 220000 | 2 | 4 | 5 |
| Bowie knife | replica Bowie knife | 75 | 225 | 4 | 1 | 2 |
| tizona | replica tizona | 250 | 600 | 2 | 2 | 3 |
| Joyeuse | replica Joyeuse | 900000 | 1650000 | 1 | 4 | 4 |
| Sword of Mercy | replica Sword of Mercy | 1500000 | 2500000 | 1 | 5 | 3 |
| urumi | replica urumi | 1800 | 2700 | 3 | 2 | 5 |
| morning star | replica morning star | 650 | 900 | 4 | 1 | 3 |
| halberd | replica halberd | 420 | 700 | 3 | 2 | 4 |
| bayonet | replica bayonet | 300 | 650 | 2 | 1 | 2 |
| obsidian dagger | replica obsidian dagger | 120 | 375 | 2 | 2 | 3 |
| gold handaxe | gold-plated handaxe | 750 | 1000 | 3 | 1 | 5 |
| brass knuckles | β | 50 | 150 | 4 | 1 | 1 |
| mahogany club | oak club | 99 | 269 | 3 | 2 | 2 |
| harpoon gun | replica harpoon gun | 390 | 700 | 3 | 3 | 5 |
| tomahawk | replica tomahawk | 220 | 450 | 4 | 2 | 2 |
| meteor hammer | replica meteor hammer | 200 | 375 | 2 | 2 | 4 |
| boomerang | β | 10 | 95 | 5 | 1 | 1 |
| Holy Hand Grenade of Antioch | replica Holy Hand Grenade | 1000000 | 10000000 | 1 | 5 | 1 |
| Leatherface’s chainsaw | replica of Leatherface’s chainsaw | 1500 | 5000 | 2 | 4 | 5 |
| Buffy’s wooden stake | replica of Buffy’s wooden stake | 100 | 500 | 2 | 5 | 1 |
| pirate ship cannon | replica pirate ship cannon | 10000 | 25000 | 3 | 3 | 5 |
| light saber | replica light saber | 10000000 | 50000000 | 1 | 5 | 5 |
Casion celebrity demand
| Item | Cost | Celebrity Popularity Impact |
|---|---|---|
| fluffer | 35000 | 3 |
| bowl full of brown M&Ms | 4000 | 1 |
| sour gummy worms | 4000 | 1 |
| 20000 | -4 |
Celeb dating app actor
| Genre | Minimum Salary | Maximum Salary | Fame Score | Retirement Age | Commonness Score | Country Whitelist |
|---|---|---|---|---|---|---|
| action | 20000000 | 80000000 | 5 | 75 | 3 | β |
| Bollywood | 2000000 | 45000000 | 5 | 70 | 4 | in |
| comedy | 8000000 | 40000000 | 4 | 65 | 5 | β |
| drama | 15000000 | 70000000 | 4 | 80 | 4 | β |
| fantasy | 1000000 | 20000000 | 2 | 70 | 2 | β |
| horror | 700000 | 12000000 | 1 | 65 | 3 | β |
| indie | 600000 | 9000000 | 1 | 75 | 4 | β |
| musical | 500000 | 7000000 | 1 | 65 | 2 | β |
| romance | 9000000 | 60000000 | 4 | 70 | 3 | β |
| romantic comedy | 2000000 | 45000000 | 3 | 55 | 3 | β |
| sci-fi | 3000000 | 30000000 | 3 | 65 | 3 | β |
| thriller | 2500000 | 15000000 | 2 | 70 | 3 | β |
| western | 3500000 | 50000000 | 1 | 75 | 1 | β |
| childrens | 500000 | 2500000 | 1 | 60 | 2 | β |
Celeb dating app athlete
| Sport | Minimum Salary | Maximum Salary | Fame Score | Commonness Score | Retirement Age | Country Whitelist |
|---|---|---|---|---|---|---|
| football | 510000 | 25000000 | 5 | 4 | 40 | β |
| basketball | 893310 | 22500000 | 5 | 5 | 40 | β |
| baseball | 563500 | 22500000 | 3 | 4 | 40 | β |
| hockey | 650000 | 8000000 | 2 | 1 | 40 | β |
| soccer | 500000 | 25000000 | 5 | 4 | 40 | β |
| rugby | 50000 | 375000 | 1 | 1 | 40 | au, gb |
| volleyball | 1000000 | 25000000 | 1 | 2 | 40 | β |
Celeb dating app influencer
| Platform | Minimum Salary | Maximum Salary | Fame Score | Retirement Age | Commonness Score |
|---|---|---|---|---|---|
| 150000 | 7500000 | 1 | 65 | 4 | |
| 250000 | 15000000 | 3 | 55 | 3 | |
| OnlyFans | 250000 | 20000000 | 5 | 45 | 3 |
| TikTok | 250000 | 12000000 | 3 | 50 | 4 |
| Twitch | 250000 | 6000000 | 2 | 40 | 2 |
| 250000 | 18000000 | 4 | 75 | 5 | |
| YouTube | 300000 | 40000000 | 5 | 70 | 1 |
Celeb dating app musician
| Genre | Minimum Salary | Maximum Salary | Fame Score | Retirement Age | Commonness Score | Country Whitelist |
|---|---|---|---|---|---|---|
| pop | 3000000 | 60000000 | 5 | 55 | 5 | β |
| rap | 3000000 | 60000000 | 5 | 60 | 4 | β |
| K-pop | 1000000 | 50000000 | 4 | 30 | 3 | kr |
| rock | 2000000 | 55000000 | 4 | 65 | 4 | β |
| country | 2000000 | 55000000 | 4 | 70 | 4 | β |
| alternative | 500000 | 45000000 | 3 | 50 | 3 | β |
| folk | 300000 | 25000000 | 2 | 65 | 2 | β |
| heavy metal | 400000 | 40000000 | 2 | 60 | 3 | β |
| reggae | 250000 | 15000000 | 2 | 65 | 2 | β |
| worship | 100000 | 5000000 | 1 | 70 | 1 | β |
| r&b | 1500000 | 15000000 | 4 | 60 | 3 | β |
Clubupdateufldumb
| Min Hero Age | Max Hero Age | Title | Street Cred Base Value 1 | Happiness Impact 1 | Health Impact 1 | Karma Impact 1 | Relationship Impact 1 |
|---|---|---|---|---|---|---|---|
| β | β | Pound for Pound | 5 | 1 | β | 1 | β |
| 18 | β | Pound for Pound | β | β | β | 2 | β |
| 18 | β | Fight Life | β | -1 | 3 | -1 | 2 |
| 18 | β | Fight Life | β | 1 | β | 2 | β |
| 18 | β | Pound for Pound | β | -2 | -3 | β | β |
| 18 | β | Fight Life | 5 | 2 | β | -3 | β |
| 18 | β | Fight Life | β | 1 | β | β | β |
| 18 | β | Fight Life | β | 3 | β | -1 | β |
| 18 | β | Pound for Pound | β | β | β | -1 | β |
| 18 | β | Pound for Pound | 5 | 2 | β | β | β |
| 18 | β | Fight Life | 15 | 2 | -1 | β | 3 |
| 18 | β | Fight Life | β | 3 | β | 3 | β |
| 18 | β | Fight Life | β | 4 | β | β | 3 |
| 18 | β | Fight Life | β | 2 | β | β | 3 |
| 18 | β | Fight Life | β | -1 | 2 | β | β |
| 18 | β | Fight Life | β | 2 | β | β | β |
| 18 | β | Pound for Pound | β | 1 | β | -3 | β |
| 18 | β | Fight Life | β | 1 | β | β | 1 |
| 18 | β | Fight Life | β | 3 | β | -2 | -1 |
| 18 | β | Fight Life | β | 3 | β | β | -1 |
| 18 | β | Pound for Pound | 5 | β | -1 | 2 | β |
| 18 | β | Fight Life | β | -1 | β | 3 | 3 |
| 18 | β | Fight Life | 5 | 3 | -1 | β | β |
| 18 | β | Pound for Pound | 5 | 2 | β | -1 | β |
| 18 | β | Pound for Pound | β | 2 | β | -1 | -2 |
| 18 | β | Pound for Pound | 5 | β | β | β | β |
| 18 | β | Pound for Pound | 5 | 1 | β | β | β |
| 18 | β | Fight Life | β | β | 1 | β | -2 |
| 18 | β | Pound for Pound | 5 | 2 | β | -2 | β |
| 18 | β | Fight Life | 10 | β | β | 1 | β |
| 18 | β | Fight Life | 10 | β | 1 | β | β |
| 18 | β | Fight Life | 10 | -3 | 1 | β | β |
| 18 | β | Fight Life | 10 | 1 | -1 | β | 2 |
| 18 | β | Pound for Pound | 10 | β | β | β | 3 |
| 18 | β | Pound for Pound | 10 | β | β | β | 3 |
| 18 | β | Pound for Pound | 10 | β | β | β | 3 |
| 55 | β | Fight Life | β | 2 | β | β | 1 |
| 18 | β | Fight Life | 20 | 2 | β | β | β |
| 18 | β | Pound for Pound | 15 | β | -1 | β | β |
| 18 | β | Pound for Pound | 5 | 2 | β | -2 | β |
| 18 | β | Pound for Pound | 15 | β | -2 | 1 | β |
| 18 | β | Pound for Pound | 10 | 2 | β | β | β |
| 21 | β | Fight Life | 5 | 1 | β | β | β |
| 18 | β | Fight Life | 20 | β | -2 | 1 | β |
Colleges
| School | Years | Difficulty Score | Commonness Score |
|---|---|---|---|
| Undergraduate | 4 | 2 | 5 |
| Pharmacy | 4 | 2 | 2 |
| Law | 3 | 5 | 3 |
| Veterinary | 4 | 4 | 1 |
| Dental | 4 | 4 | 2 |
| Medical | 7 | 5 | 3 |
| Graduate | 2 | 3 | 4 |
| Nursing | 2 | 2 | 2 |
| Business | 2 | 3 | 4 |
Crashout scenario
| Severity | Fame Impact |
|---|---|
| unhinged | -2 |
| mild | -2 |
| mild | -2 |
| mild | -1 |
| mild | -1 |
| mild | -1 |
| moderate | -2 |
| moderate | -3 |
| moderate | -1 |
| moderate | -1 |
| unhinged | -3 |
| unhinged | -3 |
| unhinged | -3 |
| unhinged | -2 |
| unhinged | -3 |
| unhinged | -3 |
| moderate | -2 |
| unhinged | -3 |
| unhinged | -2 |
| mild | -1 |
| moderate | -2 |
| moderate | -2 |
| mild | -1 |
| moderate | -2 |
| mild | -1 |
| moderate | -2 |
| mild | -1 |
| moderate | -2 |
| moderate | -2 |
| moderate | -1 |
| moderate | -2 |
| unhinged | -3 |
| mild | -1 |
| mild | -1 |
| mild | -1 |
| mild | -1 |
| moderate | -2 |
| unhinged | -3 |
| unhinged | -2 |
| unhinged | -2 |
Diets
| Diet | Monthly Cost | Health Impact | Happiness Impact | Appearance Impact |
|---|---|---|---|---|
| vegan | 300 | 1 | -1 | 3 |
| keto | 200 | 0 | -1 | 2 |
| Atkins | 350 | -1 | -1 | 2 |
| Whole30 | 250 | 1 | -2 | 1 |
| paleo | 250 | 1 | -2 | 2 |
| South Beach | 350 | 1 | 0 | 2 |
| Mediterranean | 200 | 3 | 2 | 2 |
| Weight Watchers | 500 | 2 | 2 | 3 |
| vegetarian | 250 | 2 | 0 | 2 |
| Jenny Craig | 400 | 2 | 1 | 2 |
| Nutrisystem | 500 | 1 | 0 | 2 |
| high calorie | 300 | -3 | 3 | -3 |
| Hot Cheetos | 200 | -5 | 5 | -5 |
| tapeworm | 200 | -5 | -5 | -5 |
| liquid | 300 | -2 | -2 | 2 |
Drugs
| Drug | Nicknames | Addictiveness Score | Overdose Likeliness Score | Commonness Score | Health Damage Score | Enlightment Likeliness Score |
|---|---|---|---|---|---|---|
| cocaine | blow|nose candy | 4 | 4 | 3 | 3 | 0 |
| marijuana | cannabis|weed|pot|reefer|hash | 1 | 0 | 5 | 1 | 2 |
| methamphetamine | meth|speed|crank | 3 | 3 | 3 | 5 | 0 |
| magic mushrooms | β | 0 | 0 | 2 | 0 | 4 |
| acid | LSD|liquid acid | 0 | 0 | 2 | 1 | 2 |
| oxycodone | β | 3 | 2 | 4 | 3 | 0 |
| heroin | smack | 5 | 5 | 3 | 5 | 0 |
| opium | β | 4 | 1 | 1 | 3 | 0 |
| ecstasy | MDMA|molly | 0 | 0 | 3 | 1 | 5 |
| GHB | β | 1 | 2 | 2 | 1 | 0 |
| ketamine | special k | 1 | 3 | 2 | 3 | 0 |
| PCP | angel dust|sherm | 0 | 4 | 2 | 4 | 0 |
| salvia | β | 2 | 0 | 1 | 2 | 0 |
| mescaline | peyote | 0 | 0 | 1 | 0 | 5 |
| nitrous oxide | laughing gas | 0 | 0 | 2 | 1 | 0 |
| anabolic steroids | gym candy | 0 | 0 | 2 | 3 | 0 |
| morphine | β | 4 | 2 | 3 | 3 | 0 |
| sleeping pills | β | 3 | 0 | 3 | 1 | 0 |
| valium | β | 2 | 0 | 3 | 2 | 0 |
| ritalin | β | 0 | 0 | 4 | 0 | 0 |
| xanax | β | 0 | 0 | 4 | 0 | 0 |
| adderall | β | 2 | 0 | 4 | 0 | 0 |
| vicodin | β | 3 | 1 | 4 | 2 | 0 |
| crack cocaine | β | 5 | 2 | 1 | 5 | 0 |
| cough syrup | codeine|sizzurp|purple drank | 3 | 1 | 2 | 2 | 0 |
| alcohol | β | 2 | 0 | 5 | 2 | 0 |
| cigarettes | β | 4 | 0 | 4 | 3 | 0 |
Dumb scenarios casino
| Hero Min Age | Hero Max Age | Min Casino Popularity | Max Casino Popularity | Requires Casino Amenity | Requires Casino Game Room | Requires Casino Celebrity | Requires Casino Performance Act |
|---|---|---|---|---|---|---|---|
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | 50 | β | β | β | β | β |
| 18 | β | β | 50 | β | β | β | β |
| 18 | β | 60 | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | 40 | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
Dumb scenarios dealer
| Hero Min Age | Hero Max Age | Min Infamy | Max Infamy | Min Standing | Max Standing | Hero Rank | Title |
|---|---|---|---|---|---|---|---|
| 18 | β | β | β | β | β | β | Police Warning |
| 18 | β | 50 | β | β | β | β | Stranger Danger |
| 18 | β | igh | β | β | β | runner, manufacturer, lieutenant, kingpin | Cartel |
| 18 | β | β | β | β | β | kingpin | High Life |
| 18 | β | β | β | β | β | β | Drug Problem |
| 18 | β | β | β | 50 | β | manufacturer, lieutenant, kingpin | High Life |
| β | β | β | β | β | β | β | Drug Problem |
| β | β | β | β | β | β | β | Drug Problem |
| β | β | β | β | β | β | β | Drug Deal |
| β | β | β | β | β | β | β | High Life |
| β | β | β | β | β | β | β | High Life |
| β | β | β | β | β | β | dealer, runner, lieutenant, manufacturer | Cartel |
| β | β | β | β | β | β | dealer, runner, lieutenant, manufacturer | Cartel |
| β | β | β | β | β | β | dealer, runner, lieutenant, manufacturer | Cartel |
| β | β | β | β | β | β | β | Cartel |
| 18 | β | β | β | β | β | β | Police Threat |
| 18 | β | β | β | β | 50 | kingpin | High Life |
| 18 | β | β | β | β | β | β | Drug Problem |
| 18 | β | β | β | β | β | manufacturer, lieutenant, kingpin | Cartel |
| 18 | β | β | β | β | β | β | Cartel |
| 18 | β | β | β | β | β | β | Drug Problem |
| 18 | β | β | β | β | β | β | Police Activity |
| 18 | β | β | β | β | β | β | High Life |
| 18 | β | β | β | β | 50 | dealer | Cartel |
| 18 | β | β | β | β | β | lieutenant, kingpin | High Life |
| 18 | β | β | β | β | β | dealer, runner, manufacturer, lieutenant | Cartel |
| 18 | β | 50 | β | β | β | kingpin | High Life |
| 18 | β | β | β | 50 | β | β | Drug Problem |
Dumb scenarios friend
| Hero Min Age | Hero Max Age | Friend Min Age | Friend Max Age | Friend Min Craziness | Exterior Title | Title | Friend Impact 1 |
|---|---|---|---|---|---|---|---|
| 5 | 12 | 5 | 12 | 20 | Friend | Cover Me | 2 |
| 18 | β | 18 | β | 60 | Friend | Cover Me | 2 |
| 12 | β | 12 | β | 50 | Friend | Personal Property? | 3 |
| 5 | 14 | 5 | 14 | 20 | Friend | False Claim | 1 |
| 18 | β | 18 | β | 80 | Friend | Hide Out | 2 |
| 14 | β | 14 | β | 35 | Friend | Prank Call | 2 |
| 18 | β | 18 | β | 25 | Friend | Skipping Town | 2 |
| 18 | β | 18 | β | 35 | Friend | Contraband | 2 |
| 14 | β | 14 | β | 25 | Friend | Free Movie | 1 |
| 18 | β | 18 | β | 35 | Friend | Superior Spying | 2 |
| 18 | β | 18 | β | 50 | Friend | Up in Flames | 2 |
| 13 | 18 | 5 | 18 | 25 | Friend | Cheat Sheet | 1 |
| 18 | β | 18 | β | 75 | Friend | Sleight of Hand | 1 |
| 21 | β | 21 | β | 80 | Friend | Impaired Judgement | -2 |
| 18 | β | 18 | β | 65 | Friend | Mall Cop | 1 |
| 21 | β | 21 | β | 35 | Friend | Free Booze | 1 |
| 18 | β | 18 | β | 75 | Friend | Panty Peek | 2 |
| 18 | β | 18 | β | β | Friend | Moving Muscle | 2 |
| 15 | 30 | 15 | 20 | β | Friend | Field of Study | β |
| 16 | 20 | 16 | 25 | β | Friend | First Time | 2 |
| 21 | 40 | 21 | 21 | β | Friend | Bottoms Up | 2 |
| 25 | β | 25 | 55 | β | Friend | Trash Talker | 1 |
| 25 | β | 55 | β | β | Friend | Splish Splash | 2 |
| 14 | β | 14 | β | 20 | Enemy | The Bird | β |
| 12 | β | 12 | β | 25 | Enemy | Your Mom | β |
| 18 | β | 18 | β | 30 | Enemy | Black Magic | β |
| 18 | β | 18 | β | 20 | Enemy | Banner Ad | β |
| 15 | β | 15 | β | 20 | Enemy | Stolen Venti | β |
| 8 | 18 | 8 | 18 | 20 | Enemy | Instructive Insult | β |
| 16 | β | 16 | β | 30 | Enemy | Deflowered | β |
| 16 | β | 16 | β | 30 | Enemy | Billboard Blasphemy | β |
| 16 | β | 16 | β | 25 | Enemy | Missing Dignity | β |
| 16 | β | 16 | β | 25 | Enemy | Flawed Fugitive | β |
| 18 | β | 18 | β | β | Friend | A Waiting Game | 1 |
| 18 | β | 18 | β | β | Friend | No Satisfaction | 3 |
| 18 | β | 18 | β | β | Friend | Thanks for Sharing! | β |
| 18 | β | 18 | β | β | Friend | Deflated | 2 |
Dumb scenarios landlord
| Hero Min Age | Hero Max Age | House Type Whitelist | House Type Blacklist | Min Satisfaction | Max Satisfaction | Min Craziness | Max Craziness |
|---|---|---|---|---|---|---|---|
| β | β | β | β | β | β | β | 50 |
| β | β | β | β | β | β | 50 | β |
| β | β | β | β | β | 40 | 50 | β |
| β | β | β | houseboat | β | β | 50 | β |
| β | β | β | houseboat, condo | β | β | 50 | β |
| β | β | β | β | 50 | β | β | β |
| β | β | β | β | β | β | 50 | β |
| β | β | mansion, palace, castle | β | β | β | 50 | β |
| β | β | manufactured home, tiny house | β | β | β | 50 | β |
| β | β | houseboat | β | β | β | 50 | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | 60 |
| β | β | β | β | β | β | 50 | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | mansion, palace, castle | β | β | β | β | 50 |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | 50 | β | β | β |
| β | β | β | β | 50 | β | β | β |
| β | β | β | β | 80 | β | β | β |
| β | β | β | β | 50 | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
Dumb scenarios mafia
| Hero Min Age | Hero Max Age | Specific Mob Country | Bottom Rank | Middle Rank | Top Rank | Title | Notoriety Impact 1 |
|---|---|---|---|---|---|---|---|
| 18 | β | β | β | β | β | Cherry Pop | 1 |
| 18 | β | β | β | β | β | The Total Package | 2 |
| 30 | β | β | β | β | β | Stress Relief | 1 |
| 40 | β | β | β | β | β | The Toll | 1 |
| 20 | β | β | β | β | β | Claiming His Spot | 1 |
| 20 | β | β | β | β | β | Claiming Her Spot | 1 |
| 20 | β | β | β | β | β | Extra Credit 101 | 2 |
| 20 | β | β | β | β | β | Extra Credit 101 | 2 |
| 20 | β | ie | β | β | β | In da Pub | 1 |
| 18 | β | cn | β | β | β | Buffet Number 1 | 1 |
| 18 | β | cn | β | β | β | Panda to Go | 1 |
| 25 | β | it | β | β | β | A Lotta Balls | 1 |
| 18 | β | ie | β | β | β | Foe-taters | 1 |
| 20 | β | ie | β | β | β | Luck o’ the Irish | β |
| 18 | β | ie | β | β | β | Wakey Wakey | -1 |
| 18 | β | it | β | β | β | Holy Ravioli | 2 |
| 18 | β | it | β | β | β | Sweet Meats and Delicate Treats | -1 |
| 18 | β | it | β | β | β | Lacking Flavor | 1 |
| 20 | β | it | β | β | β | Pizza with Pizzaz | 2 |
| 18 | β | β | β | β | β | Smooth Criminal | -1 |
| 18 | β | ie | β | β | β | Magically Delicious | β |
| 18 | β | it | β | β | β | Italian Lessons | β |
| 20 | β | cn | β | β | β | Life Hacks | 1 |
| 20 | β | β | β | β | β | Hack-style Takeover | 1 |
| 20 | β | β | β | β | β | Crime’s a Drag | 2 |
| 20 | β | β | β | β | β | In Plain Sight | -1 |
| 20 | β | it | β | β | β | God’s Birthday | 2 |
| 20 | β | cn | β | β | β | God’s Birthday | 1 |
| 20 | β | jp | β | β | β | God’s Birthday | 2 |
| 20 | β | mx | β | β | β | God’s Birthday | -1 |
| 20 | β | ie | β | β | β | God’s Birthday | 1 |
| 20 | β | β | β | β | β | We Got a Floater | 1 |
| 20 | β | β | β | β | β | Making the Canary Sing | 1 |
| 25 | β | β | β | β | β | Fertile Ground | 2 |
| 18 | β | β | β | β | β | Forbidden Fruit | 2 |
| 18 | β | β | β | β | β | Cat Burglar | 2 |
| 20 | β | β | β | β | β | Pawned Off | 2 |
| 20 | β | β | β | β | β | Liquor License | 1 |
| 20 | β | β | β | β | β | Whole-Grain Grifters | 1 |
| 20 | β | β | β | β | β | Housekeeping | 1 |
| 18 | β | β | β | β | β | The Mystery Machine | 2 |
| 20 | β | β | β | β | β | Our Turf | 1 |
| 20 | β | β | β | β | β | I’ll Spot You | 1 |
| β | β | β | β | β | β | The Duck Family | β |
| β | β | β | β | β | β | Old Crazy Uncle | β |
| β | β | β | β | β | β | Crazy Old Uncle | β |
| β | β | β | β | β | β | The Reel Deal | -2 |
| β | β | β | β | β | β | Touchy-Feely | β |
| β | β | β | β | β | β | Location, Location, Location | -1 |
| β | β | β | β | β | β | The Man in a Van | 3 |
Dumb scenarios model
| Hero Min Age | Hero Max Age | Requires Booking Agent | Requires Past Gigs | Min Profile | Max Profile | Min Reputation | Max Reputation |
|---|---|---|---|---|---|---|---|
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| 18 | β | β | β | β | β | β | β |
| β | β | β | β | β | β | β | β |
| β | β | β | β | 50 | β | 50 | β |
| β | β | β | β | β | β | β | β |
Dumb scenarios orphan
| Hero Min Age | Hero Max Age | Title | Karma Impact 1 | Discipline Impact 1 | Happiness Impact 1 | Intelligence Impact 1 | Appearance Impact 1 |
|---|---|---|---|---|---|---|---|
| 5 | 17 | Starstruck | β | β | β | 2 | β |
| 5 | 12 | Please Sir | β | β | -1 | β | β |
| 5 | 17 | New Kid on the Block | -3 | β | -1 | β | β |
| 5 | 17 | No Good at Goodbyes | -3 | -1 | -1 | β | β |
| 5 | 11 | Smells Like Teen Spirit | β | β | β | 1 | β |
| 5 | 17 | A Big Bully | 1 | 1 | 1 | β | β |
| 5 | 17 | Self Improvement | 1 | 2 | 2 | 2 | β |
| 5 | 17 | 30-Day Warranty | 3 | 2 | 3 | 1 | β |
| 5 | 17 | Abuse of Power | 2 | -1 | 2 | β | β |
| 5 | 17 | A runner | -1 | -1 | β | β | β |
| 3 | 6 | Happy Place | β | β | 2 | β | β |
| 3 | 6 | Special orders | β | β | 2 | β | β |
| 3 | 6 | Wish list | β | β | β | -1 | β |
| 3 | 6 | Bunk mates | β | β | -2 | β | β |
| 3 | 6 | Fun and games | β | β | 3 | β | β |
Dumb scenarios political campaign
| Hero Gender | Title | Campaign Impact 1 | Ethics Impact 1 | Social Impact 1 | Environment Impact 1 | Economy Impact 1 | Education Impact 1 |
|---|---|---|---|---|---|---|---|
| β | Educational Schooling | β | 2 | 2 | β | -2 | 3 |
| β | Green Planning | 2 | 2 | 2 | 3 | β | β |
| β | Slinging Mud | 2 | 2 | 2 | β | β | 3 |
| β | Oil on Your Hands | 3 | 2 | β | -1 | β | β |
| β | Focal Point | β | β | 3 | β | β | β |
| β | Focal Point | β | β | 3 | β | β | β |
| β | Research Time | β | β | 3 | β | β | β |
| β | Research Time | β | β | 3 | β | β | β |
| β | Cut It Out | β | β | -3 | 1 | 1 | 1 |
| β | Cut It Out | β | β | -3 | 1 | 1 | 1 |
| β | Deadly Donors | 3 | 1 | β | β | β | β |
| β | Sad State of Affairs | 3 | -3 | -1 | β | β | β |
| β | Liquid Courage | -5 | -2 | -2 | β | β | β |
| β | Inadequate Economy | 3 | 1 | 1 | β | 2 | β |
| β | Equal Opportunity | 2 | 3 | 3 | β | β | 1 |
| β | Drug Money | 1 | 2 | 1 | β | -2 | β |
| β | Life or Death Situation | 1 | 3 | 2 | β | β | β |
| β | Walk-Up Song | 1 | β | 2 | β | β | β |
| β | Ads! Ads! Ads! | 1 | β | 2 | -1 | 1 | β |
| β | Give Me a Sign | 3 | 1 | β | 3 | -2 | 1 |
| male | Make it Fashion | 3 | β | -1 | -1 | 2 | -1 |
| female | Make it Fashion | 3 | β | -1 | -1 | 2 | -1 |
| β | Weeding Me Out | 2 | 1 | 1 | β | β | β |
| β | Hip Trip | 2 | 1 | 1 | β | β | 1 |
| β | Dirty Donor | -4 | -2 | -2 | β | 1 | β |
| β | Cheers! | -1 | -2 | -2 | β | 1 | -1 |
| β | Anything for Clout | -1 | 1 | -1 | -1 | β | β |
| β | Pets & Punishment | -3 | -1 | -1 | 2 | β | β |
| β | Rude Dude | -3 | -2 | -1 | β | β | β |
| β | State Focused | 5 | β | 2 | 1 | β | β |
| β | New Rules | 3 | 1 | 2 | β | -1 | β |
| β | More My Style | -3 | β | β | β | β | β |
| β | Billboard Bully | -2 | β | 1 | β | β | β |
| β | In Other News | 3 | 2 | 2 | β | β | β |
| β | Wrath on Blast | 3 | 2 | 3 | β | β | β |
| β | Rowdy Rival | -3 | β | -2 | β | β | β |
| β | Class Tech | 2 | β | 2 | β | β | 2 |
| β | Easy Access | 1 | 2 | 1 | β | β | β |
| β | Manager Madness | 3 | β | 1 | β | β | β |
| male | Blackmail | -3 | -3 | -1 | β | β | β |
| female | Blackmail | -3 | -3 | -1 | β | β | β |
| male | Debate Diva | 2 | β | 3 | β | β | β |
| female | Who Run The World | 2 | β | 3 | β | β | β |
| male | Party Lover | 1 | 4 | -1 | β | β | β |
| female | Party Lover | 1 | 4 | -1 | β | β | β |
| male | News Flash | 3 | 3 | 3 | β | β | β |
| female | News Flash | 3 | 3 | 3 | β | β | β |
| β | Tea Time | 4 | β | 1 | β | β | β |
| β | Skip the Ads | 1 | -2 | -1 | β | β | β |
| β | Rally Crasher | -4 | β | -3 | β | β | β |
| β | Loaded Questions | -1 | β | -1 | 2 | β | β |
| β | Financial Aid | 1 | β | 1 | β | β | β |
| β | Transparency Test | -2 | 1 | -2 | β | β | β |
| β | Fancy That | 3 | β | 3 | β | β | β |
| β | Odd Job | 1 | β | 2 | -1 | β | β |
| β | Mark Your Territory | 2 | 1 | 1 | 3 | -1 | 1 |
| β | Ground Game | 4 | -1 | 3 | β | β | β |
| β | Pants on Fire! | 3 | 3 | 2 | β | β | 1 |
| β | Red River Rivalry | 2 | 2 | -1 | β | β | β |
| β | Flip-Flopper | -4 | -1 | -2 | β | β | β |
| β | Balance the Budget | -1 | β | 1 | β | β | β |
| β | Die-hard Fanatic | 1 | β | 1 | β | β | β |
| β | Photo-Op | 3 | 1 | 2 | β | β | 1 |
| β | Pizza Lover | 2 | 2 | 2 | β | β | β |
Dumb scenarios prison
| Hero Min Age | Hero Max Age | Title | Behavior Impact 1 | Respect Impact 1 | Behavior Impact 2 | Respect Impact 2 | Behavior Impact 3 |
|---|---|---|---|---|---|---|---|
| 18 | β | Roof Job | 4 | β | -2 | β | β |
| 18 | β | Fiending Freakshow | β | 1 | β | -1 | β |
| 18 | β | Nightmare Scenario | β | β | β | -3 | β |
| 18 | β | Daisy Chains | β | -3 | β | 1 | β |
| 18 | β | Awkward! | β | 1 | β | 2 | 1 |
| 18 | β | Bedmate | β | 3 | β | 2 | β |
| 18 | β | Crackhead | β | 3 | 1 | -4 | -2 |
| 18 | β | The Bachelorette | -1 | -1 | β | β | β |
| 18 | β | Drunk Driving | β | β | β | -3 | β |
| 18 | β | Barbie Girl | β | -3 | β | β | β |
| 18 | β | Common Grounds | β | 2 | β | -1 | β |
| 18 | β | Gang Attack | 4 | -2 | β | 1 | 2 |
| 18 | β | Solitude | 1 | β | 1 | β | 1 |
| 18 | β | Oopsies | 4 | -5 | β | 1 | β |
| 18 | β | Finite Resources | -3 | 4 | β | -4 | -2 |
| 18 | β | Sneak Attack | 4 | -2 | 2 | -4 | β |
| 18 | β | Correction? | -5 | β | 5 | -3 | β |
| 18 | β | Pica Chew | β | β | β | -4 | β |
| 18 | β | Butt Candy | β | -3 | β | 1 | β |
| 18 | β | Big Brawl | -2 | β | 1 | β | 4 |
| 18 | β | Escape Plans | -2 | 3 | 1 | -1 | 3 |
| 18 | β | Pollution Problem | β | β | β | 2 | β |
| 18 | β | Sleepover | -1 | -5 | 1 | -4 | β |
| 18 | β | Bosom Buddies | -2 | -4 | 1 | 1 | β |
| 18 | β | The Slow Escape | 1 | 2 | -4 | -2 | 3 |
| 18 | β | Torture Test | -5 | -4 | 3 | 1 | -2 |
| 18 | β | Game Day | β | -2 | β | -1 | β |
| β | 17 | Breakfast Bully | β | -1 | β | -3 | 1 |
| β | 17 | Rim Job | -2 | 2 | 2 | 2 | 1 |
| β | 17 | Crybaby Cellmate | -1 | β | 1 | β | 2 |
| β | 17 | Rough Landing | 1 | -2 | 1 | 2 | -1 |
| β | 17 | TV Tyrant | 1 | -1 | 1 | 1 | -1 |
| β | 17 | The Good Delinquent | β | β | β | β | β |
| β | 17 | Daunting Division | 1 | 2 | -1 | -3 | 1 |
| β | 17 | Waste Not | -2 | 3 | β | β | 1 |
| β | 17 | Stood Up | -1 | -3 | β | -2 | 1 |
| β | 17 | New Threads | β | β | β | β | β |
| β | 17 | Still in School | 2 | 2 | 3 | 1 | 2 |
| β | 17 | No Victim, No Crime | β | β | β | β | β |
| β | 17 | Exposing Yourself | 1 | 1 | 1 | 1 | 1 |
| β | 17 | Drip Unlimited | β | 2 | β | 2 | β |
| β | 17 | Phone Fun | -1 | 1 | -1 | 2 | -1 |
| β | 17 | Model Delinquent | 3 | 1 | 3 | 1 | 3 |
| β | 17 | Missing Goods | -1 | 2 | 1 | 1 | β |
| β | 17 | Half-Baked Escape | 3 | -4 | -1 | 1 | β |
| β | 17 | Lost a Load | β | 1 | -1 | 2 | 2 |
| β | 17 | From Cell to Celeb | β | β | β | β | β |
| 18 | β | The Epstein Treatment | 3 | 3 | -3 | 3 | 2 |
| 18 | β | Thy Noble Name | 3 | -3 | 2 | -2 | -3 |
| 18 | β | Noble Fir | -2 | -3 | -1 | -2 | -4 |
| β | 17 | Noble Fir | -2 | -3 | -1 | -2 | -4 |
| 18 | β | High & Mighty | -1 | -3 | β | -2 | β |
| β | 17 | High & Mighty | -1 | -3 | β | -2 | β |
| 18 | β | Royal Protection | -1 | -3 | 2 | 1 | β |
| 18 | β | Royal Failure | β | -3 | β | 1 | β |
| β | 17 | Royal Failure | β | -3 | β | 1 | β |
| 18 | β | Indelible Impression | -2 | -4 | -2 | 4 | 3 |
| β | β | Bodily Samples | 3 | -3 | 3 | -3 | 3 |
| 18 | β | Movie Night | 3 | -3 | 3 | -3 | 3 |
| β | 17 | Movie Night | 3 | -3 | 3 | -3 | 3 |
| 18 | β | Prisoner Proper | 2 | -1 | 2 | 1 | 2 |
| β | 17 | Delinquent Decency | 2 | -1 | 2 | 1 | 2 |
| 18 | β | Mean Moniker | 1 | -3 | 1 | -3 | 1 |
| β | 17 | Mean Moniker | 2 | -2 | 2 | -2 | 2 |
Dumb scenarios secret agent
| Hero Min Age | Hero Max Age | Requires Rival Agency | Title | Relationship Impact 1 | Proficiency Impact 1 | Relationship Impact 2 | Proficiency Impact 2 |
|---|---|---|---|---|---|---|---|
| β | β | β | Agent in Distress | -2 | β | β | 2 |
| β | β | β | Agent in Distress | 3 | β | -2 | β |
| β | β | β | Agent in Distress | 1 | β | β | 1 |
| β | β | β | Espionage | 1 | 1 | β | 2 |
| β | β | β | Suspicious Activity | -1 | β | β | β |
| β | β | β | Suspicious Activity | -1 | 1 | β | β |
| β | β | β | Suspicious Activity | β | β | β | β |
| β | β | β | Suspicious Activity | -2 | β | -1 | β |
| β | β | β | Agent Request | 2 | 2 | -2 | β |
| β | β | β | Agent Request | 2 | 2 | -2 | β |
Dumb scenarios vacation
| Type | Title | Karma Impact 1 | Discipline Impact 1 | Happiness Impact 1 | Intelligence Impact 1 | Appearance Impact 1 | Karma Impact 2 |
|---|---|---|---|---|---|---|---|
| Vacation | Cheese! | -3 | -3 | -2 | β | β | 2 |
| Vacation | Baggage | 2 | 2 | 2 | β | β | β |
| Vacation | Undergarments | β | 1 | -2 | β | β | -1 |
| Vacation | Haunted Hotel | -1 | 3 | -1 | β | β | β |
| Cruise | Seasick | β | 1 | 1 | β | β | 1 |
| Vacation | Cancelled Flight | β | 2 | -2 | β | β | -1 |
| Vacation | Jet Lag | 1 | 1 | 1 | β | β | -1 |
| Vacation | Pickpocket | 3 | 3 | β | β | β | -5 |
| Vacation | Security Check | β | 3 | -2 | β | β | 2 |
| Vacation | Tough Choice | 1 | 1 | 2 | β | β | 1 |
| Vacation | Get Lost | 1 | 3 | 1 | β | β | 1 |
| Cruise | Karaoke | -3 | -2 | β | β | β | 2 |
| Cruise | Shuffleboard | 1 | 2 | -2 | β | β | -3 |
| Cruise | Workout | 3 | 4 | 3 | 1 | 2 | 1 |
| Cruise | The Backstroke | -3 | -4 | 2 | β | β | β |
| Cruise | Contest Time | 1 | 1 | 1 | β | β | 1 |
| Cruise | Scavenger Hunt | β | 2 | β | β | β | β |
| Cruise | In Port | 2 | 2 | 1 | 1 | β | 2 |
| Cruise | Man Overboard | 4 | 3 | β | β | β | 3 |
| Cruise | Broken Toilets | β | 5 | -5 | β | β | β |
| Vacation | Monkey Business | -1 | -3 | β | β | β | 2 |
| Vacation | Disconnected | -1 | β | -1 | -1 | β | β |
| Vacation | Dead Phone | β | 1 | β | β | β | 1 |
| Vacation | Lost Card | β | 2 | β | 1 | β | β |
| Vacation | Object of Art | -2 | 1 | -1 | -1 | β | -2 |
| Vacation | Kazoo Time | 4 | 3 | β | β | β | 5 |
| Vacation | Mean Mugger | 1 | β | β | β | β | 1 |
| Vacation | Hotel Party | -2 | β | -1 | β | β | -1 |
| Vacation | Mile High Club | β | -2 | 5 | β | β | 1 |
| Vacation | What Accent? | -1 | -2 | β | β | β | -1 |
| Cruise | Adventure Time | β | 1 | 3 | β | β | β |
| Cruise | Class Time | β | β | 1 | 2 | β | β |
| Cruise | The Underside | -1 | β | β | 1 | β | -1 |
| Cruise | AA | -1 | β | β | β | β | -2 |
| Cruise | Mechanical Mixologist | -1 | -2 | β | -1 | β | -2 |
| Cruise | Rebel | -3 | -4 | 3 | -3 | β | -3 |
| Cruise | Spa Service | β | β | 3 | β | 3 | β |
| Cruise | Inclement Weather | β | β | 1 | β | β | β |
| Cruise | Transportation | β | β | 1 | 1 | β | β |
| Cruise | Now Departing | β | 3 | -1 | 1 | β | β |
| Vacation | Unexpected Delays | β | -1 | 2 | β | 1 | β |
| Vacation | Sudden Shortcut | β | β | -1 | -1 | 2 | β |
| Vacation | Celeb-Spotting | β | -2 | 3 | β | β | β |
| Vacation | Thinking Of You | 1 | β | 2 | -1 | β | 2 |
| Vacation | Hanging Loose | β | -1 | 1 | 1 | 1 | β |
| Vacation | Street Food | β | β | 3 | β | β | β |
| Vacation | Map Muddle | β | β | -2 | β | β | β |
| Vacation | Stray Animal | 2 | β | 1 | β | 1 | 1 |
| Vacation | Local Festival | β | -1 | 3 | β | -1 | β |
| Vacation | New Sport | β | 2 | 2 | 1 | β | β |
| Vacation | Odd Customs | β | β | 1 | β | 2 | β |
| Vacation | Indoor Fun | β | 2 | β | β | β | β |
| Vacation | Do It For The ‘Gram | β | β | β | 2 | β | β |
| Vacation | Can’t Hold It | β | 1 | 1 | β | β | β |
| Vacation | Reading Material | β | β | 2 | β | 1 | β |
| Vacation | Sweet Music | β | 3 | 3 | β | β | 2 |
| Vacation | Directions | β | 2 | β | 2 | β | β |
| Vacation | Night Life | 1 | 1 | 1 | 1 | 1 | β |
| Vacation | Celebrity Sighting | β | β | β | 3 | β | β |
Dumb scenarios zoo
| Hero Min Age | Hero Max Age | Requires Specific Employee | Title | Animal Charisma Impact 1 | Employee Competence Impact 1 | Animal Charisma Impact 2 | Employee Competence Impact 2 |
|---|---|---|---|---|---|---|---|
| 18 | β | β | Animal Behavior | -2 | β | -1 | β |
| 18 | β | β | Animal Behavior | 2 | β | -1 | β |
| 18 | β | β | Hide-and-Seek | 2 | β | 2 | β |
| 18 | β | β | Animal Behavior | -1 | β | 2 | β |
| 18 | β | β | Animal Behavior | -1 | β | 2 | β |
| 18 | β | β | Animal Behavior | -1 | β | 3 | β |
| 18 | β | β | Scary Situation | 2 | β | -1 | β |
| 18 | β | β | Animal Behavior | 1 | β | -1 | β |
| 18 | β | β | Stinky Situation | β | 2 | β | β |
| 18 | β | β | Passionate Zoo Patron | 2 | β | -1 | β |
| 18 | β | β | Guest Misbehavior | 2 | β | 1 | β |
| 18 | β | β | Boredom Buster | 3 | β | 2 | β |
| 18 | β | animal handler | Employee Situation | β | 3 | β | 1 |
| 18 | β | β | Guest Misbehavior | 2 | β | -3 | β |
| 18 | β | veterinarian | Employee Situation | β | -2 | β | 3 |
| 18 | β | operations manager | Employee Situation | 2 | 2 | 1 | -1 |
| 18 | β | β | Relationship Trouble | -2 | β | 1 | β |
| 18 | β | β | Rival Zoo Challenge | 1 | β | -1 | β |
Fighting products
| ProductName | MinReputation | MaxReputation | MinCompensation | MaxCompensation |
|---|---|---|---|---|
| Strikerade | 20 | 80 | 500 | 5000 |
| PowerPunch Gloves | 30 | 90 | 1000 | 8000 |
| FighterFuel Energy Drink | 10 | 60 | 300 | 3000 |
| IronSkin Balm | 15 | 70 | 400 | 4000 |
| KnockOut Cologne | 25 | 85 | 600 | 6000 |
| TitanGrip Tape | 20 | 75 | 500 | 5500 |
| BeastMode Supplements | 35 | 95 | 1500 | 10000 |
| GuardianShield Mouthguard | 10 | 50 | 200 | 2000 |
| VenomStrike Shoes | 30 | 80 | 800 | 7000 |
| ChamberFit Workout Gear | 40 | 95 | 2000 | 12000 |
Food
| Food | Commonness Score | Sickness Probability Score |
|---|---|---|
| caviar | 4 | 2 |
| oysters | 5 | 4 |
| milt | 1 | 2 |
| chicken feet | 3 | 2 |
| sheep’s heart | 2 | 2 |
| tripe | 2 | 2 |
| tuna eyeballs | 2 | 3 |
| octopus | 4 | 3 |
| grasshoppers | 2 | 2 |
| escargot | 4 | 3 |
| pufferfish | 3 | 5 |
| frog legs | 2 | 2 |
| Rocky Mountain oysters | 2 | 2 |
| horse meat sashimi | 1 | 4 |
| kangaroo | 2 | 2 |
| deep fried crocodile | 2 | 2 |
| fried rattlesnake | 2 | 3 |
| raw eel | 4 | 4 |
| fried tarantula | 1 | 2 |
| boiled silkworms | 1 | 3 |
| steak tartare | 1 | 5 |
| guinea pig | 1 | 3 |
| turtle soup | 1 | 3 |
| starfish | 1 | 3 |
| cobra’s heart | 1 | 4 |
| shark fin soup | 2 | 2 |
| whale sashimi | 1 | 2 |
| dog meat | 1 | 2 |
| deep-fried locust | 1 | 2 |
| grits | 3 | 1 |
| fried chicken gizzards | 2 | 2 |
| reindeer hot dogs | 1 | 2 |
| deep fried butter | 2 | 1 |
| fried pig intestines | 2 | 2 |
| pickled pig’s feet | 2 | 2 |
| poutine | 4 | 1 |
| jellied moose nose | 1 | 3 |
| poi | 3 | 1 |
| chocolate covered bacon | 1 | 3 |
| elk burgers | 2 | 3 |
| dried lizard | 2 | 3 |
Genesis fight ad campaign
| IsEntryPoint | HeroAge | Title | ExteriorTitle | IntValue | StringValue | DropDownTitles | SliderTitles |
|---|---|---|---|---|---|---|---|
| β | β | Ad Campaign | Fight | β | β | β | β |
| β | β | <Flashing lights/Am I famous yet?/Spokesperson> | Fight | β | β | β | β |
| β | β | What a sell-out | Fight | β | β | β | β |
| β | β | You’re a real one | Fight | β | β | β | β |
Genesis houseparty color
| Hero Min Age | Hero Max Age | CommonnessScore | Title | MinMaxValues | Score | Impacts |
|---|---|---|---|---|---|---|
| β | β | 5 | β | β | β | β |
| β | β | 5 | β | β | β | β |
| β | β | 3 | β | β | β | β |
| β | β | 1 | β | β | β | β |
| β | β | 2 | β | β | β | β |
| β | β | 3 | β | β | β | β |
| β | β | 4 | β | β | β | β |
| β | β | 5 | β | β | β | β |
| β | β | 5 | β | β | β | β |
| β | β | 3 | β | β | β | β |
| β | β | 2 | β | β | β | β |
| β | β | 4 | β | β | β | β |
| β | β | 3 | β | β | β | β |
| β | β | 5 | β | β | β | β |
| β | β | 3 | β | β | β | β |
| β | β | 4 | β | β | β | β |
| β | β | 2 | β | β | β | β |
| β | β | 4 | β | β | β | β |
| β | β | 5 | β | β | β | β |
| β | β | 1 | β | β | β | β |
| β | β | 2 | β | β | β | β |
| β | β | 3 | β | β | β | β |
| β | β | 2 | β | β | β | β |
| β | β | 1 | β | β | β | β |
| β | β | 5 | β | β | β | β |
| β | β | 3 | β | β | β | β |
| β | β | 2 | β | β | β | β |
| β | β | 2 | β | β | β | β |
| β | β | 2 | β | β | β | β |
| β | β | 5 | β | β | β | β |
Genesis houseparty parent reason
| Hero Min Age | Hero Max Age | CommonnessScore | Title | MinMaxValues | Score | Impacts |
|---|---|---|---|---|---|---|
| β | β | 1 | β | β | β | β |
| β | β | 5 | β | β | β | β |
| β | β | 2 | β | β | β | β |
| β | β | 5 | β | β | β | β |
| β | β | 3 | β | β | β | β |
| β | β | 4 | β | β | β | β |
| β | β | 5 | β | β | β | β |
| β | β | 3 | β | β | β | β |
| β | β | 3 | β | β | β | β |
| β | β | 2 | β | β | β | β |
| β | β | 2 | β | β | β | β |
| β | β | 3 | β | β | β | β |
| β | β | 2 | β | β | β | β |
| β | β | 4 | β | β | β | β |
| β | β | 4 | β | β | β | β |
| β | β | 5 | β | β | β | β |
| β | β | 4 | β | β | β | β |
| β | β | 1 | β | β | β | β |
| β | β | 5 | β | β | β | β |
| β | β | 2 | β | β | β | β |
| β | β | 4 | β | β | β | β |
| β | β | 3 | β | β | β | β |
| β | β | 2 | β | β | β | β |
| β | β | 3 | β | β | β | β |
| β | β | 1 | β | β | β | β |
| β | β | 3 | β | β | β | β |
| β | β | 2 | β | β | β | β |
| β | β | 3 | β | β | β | β |
Genesis loan
| IsEntryPoint | HeroAge | Title | ExteriorTitle | IntValue | StringValue | DropDownTitles | SliderTitles |
|---|---|---|---|---|---|---|---|
| β | β | <Cricket, cricket/Accrued disinterest/Sound of silence> | β | β | β | β | β |
| β | β | Borrow Money | Financial | β | β | β | β |
| β | β | <A loan for a loan?!/Scram, peasant!/Beat it, poor> | Financial | β | β | β | β |
| β | β | Bank | Financial | β | β | β | β |
| β | β | Loan Amount | Financial | β | β | β | [Amount] |
| β | β | Loan Terms | Financial | β | β | β | β |
| β | β | <Insecure funds/Get a real job!/No scrubs> | β | β | β | β | β |
| β | β | <I got $$$ (for now)/A small loan of…/Remember, or else> | β | β | β | β | β |
| β | β | <For you, anything/Red carpet treatment/Making exceptions> | β | β | β | β | β |
| β | β | <Cricket, cricket/Accrued disinterest/Sound of silence> | β | β | β | β | β |
| β | β | Repay Loan | Financial | β | β | β | β |
| β | β | <Lump-sum/Early-bird relief/Weight off my shoulders> | β | β | β | β | β |
| β | β | <This doesnβt make cents/At least I tried/Not so fast> | β | β | β | β | β |
| β | β | Loan Report | Financial | β | β | β | β |
| β | β | Mafia | β | β | β | β | β |
| β | β | Loan Report | Financial | β | β | β | β |
| β | β | Lawsuit | Financial | β | β | β | β |
| β | β | <Debtor’s burden/New liability/Well this sucks> | β | β | β | β | β |
| β | β | <Debtor’s burden/New liability/Well this sucks> | β | β | β | β | β |
| β | β | Mafia | Mafia | β | β | β | β |
| β | β | <Sweet mercy/Hallelujah/Iβm good for it, promise> | β | β | β | β | β |
Genesis loan apr
| Hero Min Age | Hero Max Age | Commonness Score | MinMaxValues | Score | Relationship Impact |
|---|---|---|---|---|---|
| β | β | 1 | β | β | β |
| β | β | 2 | β | β | β |
| β | β | 3 | β | β | β |
| β | β | 4 | β | β | β |
| β | β | 5 | β | β | β |
| β | β | 1 | β | β | β |
| β | β | 2 | β | β | β |
| β | β | 3 | β | β | β |
| β | β | 4 | β | β | β |
| β | β | 5 | β | β | β |
Genesis loan basevalue
| Hero Min Age | Hero Max Age | Commonness Score | MinMaxValues | Score | Relationship Impact |
|---|---|---|---|---|---|
| β | β | 1 | β | β | β |
| β | β | 2 | β | β | β |
| β | β | 3 | β | β | β |
| β | β | 4 | β | β | β |
| β | β | 5 | β | β | β |
| β | β | 1 | β | β | β |
| β | β | 2 | β | β | β |
| β | β | 3 | β | β | β |
| β | β | 4 | β | β | β |
| β | β | 5 | β | β | β |
Genesis loan year
| Hero Min Age | Hero Max Age | Commonness Score | MinMaxValues | Score | Relationship Impact |
|---|---|---|---|---|---|
| β | β | 1 | β | β | β |
| β | β | 2 | β | β | β |
| β | β | 3 | β | β | β |
| β | β | 4 | β | β | β |
| β | β | 5 | β | β | β |
| β | β | 1 | β | β | β |
| β | β | 2 | β | β | β |
| β | β | 3 | β | β | β |
| β | β | 4 | β | β | β |
| β | β | 5 | β | β | β |
Genesis senior center
| IsEntryPoint | HeroAge | Title | ExteriorTitle | IntValue | StringValue | DropDownTitles | SliderTitles |
|---|---|---|---|---|---|---|---|
| β | β | <Hold on, spring chicken/Still a whippersnapper/Not my time yet> | β | β | β | β | β |
| β | β | Bingo | Senior Center | β | β | β | [Cards] |
| β | β | <Bingo night, pure delight/Winning row!/Buh-buh-BINGO!> | β | β | β | β | β |
| β | β | <This game is rigged/Oh, fiddlesticks/Dagnabbit!> | β | β | β | β | β |
| β | β | <B for broke/Is that pocket lint?/Where’s my retirement fund?/Can I pay in candy?> | β | β | β | β | β |
| β | β | Start Drama | Senior Center | β | β | [Pick your method] | β |
| β | β | <Causing problems for fun/Geriatrickster/Did that I do that?> | β | β | β | β | β |
| β | β | Excursion | Senior Center | β | β | [Pick your type] | β |
| β | β | <Old dog, new tricks/These bones still work/Still so much to do> | β | β | β | β | β |
| β | β | <Old dog, new tricks/These bones still work/Still so much to do> | β | β | β | β | β |
| β | β | <Old dog, new tricks/These bones still work/Still so much to do> | β | β | β | β | β |
| β | β | <Snap, crackle, pop/Not enough grease/If only I were younger> | β | β | β | β | β |
| β | β | <Buoyant AF/Wash away the age/One with water> | β | β | β | β | β |
| β | β | <Buoyant AF/Wash away the age/One with water> | β | β | β | β | β |
| β | β | Swinging | Love | β | β | β | β |
| β | β | Swinging | Love | β | β | β | β |
| β | β | <Knocking dentures/Appealing wrinkles/Mmm, old person smell> | β | β | β | β | β |
| β | β | <Knocking dentures/Appealing wrinkles/Mmm, old person smell> | β | β | β | β | β |
| β | β | Love Alert | Love | β | β | β | β |
| β | β | <Are you kidding me/Wait, swing back!/Age-old problem> | β | β | β | β | β |
| β | β | <Still got that dog in me/Not outta gas/Better with age> | β | β | β | β | β |
| β | β | <Slim pickings/No luck today/Struck out> | β | β | β | β | β |
| β | β | Maybe Later | β | β | β | β | β |
| β | β | Profile | β | β | β | β | β |
| β | β | Senior Center | Senior Center | β | β | β | β |
| β | β | <All on my ooown/Old and lonesome/Any, uh, volunteers?> | β | β | β | β | β |
| β | β | <Not my scene/Maybe next week/Too old for this> | β | β | β | β | β |
House types
| Type | Alternate Names | Requires Suffix | Minimum Age | Maximum Age | Price Score | Commonness Score | Haunted Score |
|---|---|---|---|---|---|---|---|
| trailer | mobile home | β | 10 | 50 | 1 | 2 | 0 |
| manufactured home | β | β | 10 | 50 | 1 | 2 | 0 |
| loft | studio | β | 10 | 100 | 1 | 2 | 0 |
| tiny house | β | β | 0 | 50 | 1 | 1 | 0 |
| condo | townhome | β | 0 | 50 | 2 | 5 | 0 |
| houseboat | β | β | 0 | 50 | 2 | 1 | 0 |
| bungalow | cottage | β | 0 | 200 | 2 | 2 | 1 |
| rambler | ranch-style | β | 10 | 50 | 2 | 3 | 1 |
| duplex | row house | β | 0 | 75 | 2 | 3 | 1 |
| chalet | lodge, cabin, log cabin | β | 10 | 50 | 2 | 2 | 3 |
| craftsman | β | β | 0 | 50 | 3 | 3 | 2 |
| contemporary | modern | β | 0 | 20 | 3 | 3 | 1 |
| pueblo | Santa Fe, territorial, Spanish Colonial | β | 0 | 50 | 3 | 2 | 2 |
| midcentury | β | β | 50 | 100 | 3 | 2 | 2 |
| colonial | Cape Cod | β | 50 | 150 | 3 | 2 | 5 |
| Victorian | Tudor, folly castle | β | 100 | 200 | 3 | 1 | 5 |
| art deco | β | β | 50 | 100 | 4 | 1 | 1 |
| acreage | ranch, farm | β | 0 | 100 | 4 | 2 | 3 |
| equestrian property | β | β | 0 | 100 | 4 | 2 | 2 |
| geodesic | β | β | 0 | 70 | 4 | 3 | 0 |
| mansion | chateau, manor, palace, castle | β | 0 | 100 | 5 | 2 | 4 |
| estate | β | β | 50 | 150 | 5 | β | 3 |
| palace | β | β | 200 | 1000 | 5 | β | 5 |
| castle | β | β | 200 | 1000 | 5 | β | 5 |
| storybook | β | β | 200 | 500 | 6 | 3 | 3 |
| penthouse | β | β | 5 | 25 | 8 | 3 | 0 |
| villa | β | β | 75 | 300 | 9 | 3 | 3 |
| futuristic | β | β | 0 | 5 | 10 | 3 | 0 |
| vampire castle | vampire fortress, vampire lair, vampire estate, vampire keep | β | 200 | 2000 | 4 | 2 | 4 |
Martial arts
| Martial Art | Move 1 Score | Move 2 Score |
|---|---|---|
| jiu-jitsu | 4 | 5 |
| judo | 3 | 5 |
| karate | 4 | 5 |
| kung fu | 3 | 5 |
| taekwondo | 3 | 5 |
| krav maga | 3 | 5 |
Murders
| Method | Effectiveness Score | Retaliation Likeliness Score | Get Caught Likeliness Score | Requires Driving License | Requires Vehicle |
|---|---|---|---|---|---|
| Strangle Them | 2 | 4 | 3 | β | β |
| Drive-By | 5 | 1 | 1 | β | β |
| Electrocute Them | 4 | 3 | 1 | β | β |
| Club Them | 3 | 4 | 4 | β | β |
| Atomic Wedgie | 1 | 2 | 2 | β | β |
| Push Down Stairs | 3 | 3 | 2 | β | β |
| Poison Them | 4 | 2 | 3 | β | β |
| Fastball to Head | 1 | 2 | 2 | β | β |
| Push Off Cliff | 5 | 3 | 4 | β | β |
| Bear Trap | 1 | 4 | 3 | β | β |
| Elephant Laxative | 1 | 1 | 3 | β | β |
| Scare to Death | 3 | 3 | 3 | β | β |
| Impale Them | 4 | 2 | 2 | β | β |
| Burn Them | 5 | 4 | 3 | β | β |
| Decapitate Them | 5 | 4 | 4 | β | β |
Plastic surgeries
| Procedure | Max Surgeries | Cost | Optimal Age | Success Likeliness Score | Danger Score | Appearance Improvement Score |
|---|---|---|---|---|---|---|
| Botox | β | 550 | 50 | 5 | 1 | 2 |
| breast augmentation | 1 | 6450 | 25 | 4 | 2 | 3 |
| nose job | 1 | 7475 | β | 4 | 1 | 3 |
| tummy tuck | 2 | 8150 | β | 4 | 5 | 4 |
| liposuction | 2 | 6025 | β | 4 | 4 | 5 |
| eyelid surgery | 1 | 4650 | 50 | 4 | 1 | 3 |
| Brazilian butt lift | 1 | 6525 | 25 | 3 | 5 | 2 |
| face lift | β | 12100 | 60 | 4 | 2 | 4 |
| penis enlargement | 1 | 5650 | β | 1 | 2 | 0 |
| gender reassignment | 1 | 20000 | β | 3 | 5 | 0 |
| gender reassignment | 1 | 50000 | β | 3 | 5 | 0 |
Scenario1
| IsEntryPoint | HeroAge | Title | ExteriorTitle | IntValue | StringValue | DropDownTitles | SliderTitles |
|---|---|---|---|---|---|---|---|
| β | β | House Party | Leisure | β | β | [Pick your party size|Pick your rowdiness level] | β |
| β | β | Too beat to boogie | β | β | β | β | β |
| β | β | It’s a hard-knock life | β | β | β | β | β |
| β | β | Parental Permission | Leisure | β | β | β | β |
| β | β | How embarassing | β | β | β | β | β |
| β | β | I’m a cool parent | β | β | β | β | β |
| β | β | Permission Denied | Leisure | β | β | β | β |
| β | β | Party time | Leisure | β | β | β | β |
| β | β | Party rocked too hard | β | β | β | β | β |
| β | β | Those dang kids | β | β | β | β | β |
| β | β | Hootenanny o’clock | β | β | β | β | β |
| β | β | Argument | Parents | β | β | β | β |
| β | β | Argument | Parents | β | β | β | β |
| β | β | New Friend | β | β | β | β | β |
| β | β | Hook Up | β | β | β | β | β |
Social media channels of collabstrings
| String | Engagement Score | Controversy Score | Commonness Score |
|---|---|---|---|
| decorating a Christmas tree | -3 | 0 | 2 |
| decorating a Christmas tree naked | 3 | 1 | 1 |
| having a pillow fight | 2 | 0 | 3 |
| glazing each others’ donuts | 2 | 3 | 1 |
| practicing tantric yoga | 3 | 2 | 2 |
| lathering each other up with <shea butter/suntan lotion/soap> | 3 | 4 | 3 |
| baking <cake/chocolate chip cookies/brownies/a pie> | 2 | 0 | 4 |
| singing | -2 | 0 | 5 |
| comparing <sausage/hotdog> sizes | 1 | 1 | 2 |
| competing in a <pie/hotdog/muffin>-eating contest | 3 | 2 | 3 |
| evaluating each others’ underwear collections | 2 | 2 | 3 |
| demonstrating | 5 | 5 | 1 |
| eating <sugar cookies/off-brand candies/different cheeses/wine-flavored gummies/crickets/cupcakes> | -3 | 0 | 3 |
| rubbing balloons together | 2 | 2 | 2 |
| stroking each others’ shake weights | 3 | 3 | 1 |
| mud wrestling | 4 | 4 | 2 |
| skinny dipping | 3 | 3 | 1 |
| slapping each other | 2 | 5 | 4 |
| spanking each other with <pool noodles/flower chains/feather boas/feather dusters> | 2 | 5 | 1 |
| <arm/thumb> wrestling | -2 | 0 | 4 |
| taking on the Paqui One Chip Challenge | 5 | 0 | 2 |
| jamming out to | 3 | 1 | 5 |
| giving sex advice using a blow-up doll that looks like | 5 | 5 | 2 |
| playing naked Twister | 4 | 5 | 1 |
| conceiving a brand-new <alien/armageddon/antiestablishment/new age> cult | 3 | 5 | 3 |
| roleplaying as a <student and a teacher/coach and an athlete/model and a booking agent/professor and a student/captain and a foot soldier/a powerful royal and an alluring peasant/cop and robber/powerful director and a budding actor/squirrel and a nut> for a spicy scene | 5 | 3 | 5 |
| squirting each other with <whipped cream/shaving cream/hand lotion/sunscreen> | 3 | 3 | 3 |
| washing each other’s hair | -3 | 0 | 3 |
| giving each other <mani-pedis/deep tissue massages/shoulder rubs/back rubs/piggyback rides/bikini waxes> | -3 | 0 | 3 |
| making cocktails based on the movie ‘<Five Nights at Freddy’s/The Avengers: Endgame/Harry Potter and the Sorcerer’s Stone/Dungeons & Dragons/Saw/Child’s Play/American Pie/Bridesmaids/Bottoms/Mean Girls/Crossroads/The Lord of the Rings/Teenage Mutant Ninja Turtles/Into the Spider-Verse/Barbie/Winnie-the-Pooh: Blood and Honey/M3GAN>’ | 1 | 1 | 5 |
| stroking each other’s hair | -3 | 0 | 2 |
| having a staring contest | -5 | 0 | 2 |
| MMA fighting | 4 | 3 | 4 |
| eating atomic hot wings while chatting | 3 | 1 | 4 |
| pretending to <argue/fight> | 2 | 2 | 2 |
| playing Twister | 2 | 2 | 2 |
| sharing a foot-long <hotdog/sausage> | 3 | 3 | 4 |
| identifying adult toys while blindfolded | 3 | 5 | 2 |
| watching ‘Midsommar’ on magic mushrooms | 4 | 3 | 2 |
| playing <DogLife/BitLife> | 3 | 0 | 3 |
| playing truth-or-dare | 2 | 3 | 2 |
| debating <macroeconomic theory/quantum physics/whether students should wear uniforms/the existence of aliens/pineapple on pizza> | -1 | 2 | 1 |
| giving each other <noogies/wet willies/wedgies/swirlies> | 2 | 3 | 3 |
| baking a loaf of <sourdough/banana nut/French/zucchini/apple cinnamon/pumpkin chocolate chip> bread | 2 | 0 | 2 |
| in just your underwear telling jokes | 3 | 5 | 4 |
| discussing historical events while doing shots of | 4 | 3 | 4 |
| learning how to <use a rotary telephone/read a topographical map/fix a broken toilet/record a CD onto a cassette tape/brew the perfect cup of coffee/properly handle a snake/perform the heimlich maneuver one each other/make a sourdough starter/macrame plant holders> | 3 | 1 | 2 |
Social media channels onlyfans tip responses
| Option | Appeal Score |
|---|---|
| Send <him/her> a foot video | 2 |
| Send <him/her> a sexy video | 5 |
| Send <him/her> an ASMR video | 3 |
| Send <him/her> a date sim video | 4 |
| Send <him/her> a fashion video | 0 |
| Send <him/her> a tutorial video | 1 |
| Send <him/her> a thirst trap | 0 |
Social media post types
| Post Type | Appeal Score | Impacted by Looks | Impacted by Smarts | Viral Score |
|---|---|---|---|---|
| blog | 2 | β | β | 2 |
| challenge | 4 | β | β | 3 |
| dance | 3 | β | β | 2 |
| educational | 1 | β | β | 1 |
| family photo | -1 | β | β | 0 |
| food photo | -1 | β | β | 0 |
| BitLife | 5 | β | β | 5 |
| gaming | 4 | β | β | 4 |
| haul | 3 | β | β | 2 |
| how-to | 4 | β | β | 2 |
| livestream | 3 | β | β | 0 |
| meme | 3 | β | β | 2 |
| motivational quote | -1 | β | β | 1 |
| political | -3 | β | β | 0 |
| poll | 3 | β | β | 0 |
| product review | 3 | β | β | 1 |
| random | 4 | β | β | 4 |
| retweet celebrity | 1 | β | β | 0 |
| retweet musician | 1 | β | β | 0 |
| retweet friend | 0 | β | β | 0 |
| selfie | 0 | β | β | 0 |
| reshare celebrity | 1 | β | β | 0 |
| reshare musician | 1 | β | β | 0 |
| reshare friend | 0 | β | β | 0 |
| skit | 2 | β | β | 4 |
| social justice | 1 | β | β | 0 |
| story | 2 | β | β | 0 |
| travel photo | 2 | β | β | 0 |
| unboxing | 2 | β | β | 3 |
| vlog | 1 | β | β | 0 |
| sexy pic | 0 | β | β | 5 |
| thirst trap | 0 | β | β | 5 |
| League of Legends | 4 | β | β | 3 |
| Minecraft | 4 | β | β | 2 |
| Pokemon | 2 | β | β | 4 |
| Fortnite | 1 | β | β | 5 |
| Call of Duty | 0 | β | β | 0 |
| World of Warcraft | 2 | β | β | 1 |
| Dead by Daylight | 3 | β | β | 4 |
| Among Us | 3 | β | β | 3 |
| BitLife | 5 | β | β | 5 |
| ASMR | 2 | β | β | 0 |
| Cooking | 2 | β | β | 1 |
| Beauty | 3 | β | β | 2 |
| Just chatting | 1 | β | β | 0 |
| foot | 2 | β | β | 1 |
| fitness | 3 | β | β | 2 |
| sexy | 5 | β | β | 3 |
| motivational | 4 | β | β | 3 |
| date simulation | 3 | β | β | 3 |
| tutorial | 4 | β | β | 5 |
| sensual ASMR | 3 | β | β | 2 |
| fashion | 2 | β | β | 3 |
Wealthy persons
| Description | Percent Male |
|---|---|
| ambassador | 70 |
| baron | 100 |
| baroness | 0 |
| bigwig | 80 |
| bigwig banker | 90 |
| billionaire | 80 |
| bureaucrat | 80 |
| business executive | 80 |
| business magnate | 80 |
| business mogul | 80 |
| business tycoon | 80 |
| celebrity | 50 |
| CEO | 80 |
| count | 100 |
| countess | 0 |
| drug kingpin | 100 |
| drug lord | 100 |
| duchess | 0 |
| duke | 100 |
| elite Instagram model | 0 |
| entertainment mogul | 60 |
| famous pornstar | 20 |
| fat cat | 100 |
| former president | 100 |
| Hollywood superstar | 50 |
| lottery jackpot winner | 50 |
| magnate | 80 |
| mega influencer | 30 |
| oil baron | 100 |
| oligarch | 100 |
| overlord | 100 |
| politician | 70 |
| professional basketball player | 70 |
| professional tennis player | 70 |
| professional rugby player | 70 |
| professional soccer player | 70 |
| professional football player | 100 |
| professional hockey player | 100 |
| professional baseball player | 100 |
| professional race car driver | 70 |
| professional golfer | 70 |
| professional bowler | 70 |
| professional boxer | 70 |
| professional fighter | 70 |
| professional surfer | 70 |
| professional swimmer | 70 |
| professional gamer | 70 |
| sheikh | 100 |
| socialite | 0 |
| sports executive | 100 |
| sultan | 100 |
| supermodel | 0 |
| tech mogul | 70 |
| trillionaire | 80 |
| tycoon | 80 |
| VIP | 70 |
| world-renowned DJ | 80 |
| YouTube megastar | 50 |
Wedding venues
| Venue | Cost Score | Lover Happiness Score |
|---|---|---|
| Courthouse | 1 | 2 |
| Church | 3 | 5 |
| Golf Course | 5 | 5 |
| Winery | 4 | 5 |
| Drive Thru Wedding Chapel | 2 | 1 |
| Beach | 3 | 5 |
| Banquet Hall | 3 | 4 |
| Vineyard | 5 | 5 |
| Restaurant | 4 | 4 |
| Barn | 2 | 3 |
| Country Club | 5 | 5 |
| Family Member’s House | 2 | 2 |
Witch remedies
| Item | Effectiveness Score | Risk Score | Cost Score |
|---|---|---|---|
| a green bubbling liquid from a cauldron | 3 | 5 | 4 |
| monkey ejaculate | 4 | 1 | 1 |
| lion’s blood | 5 | 4 | 5 |
| baby mouse soaked in rice wine | 2 | 3 | 1 |
| leech therapy | 2 | 4 | 1 |
| cobra venom | 1 | 5 | 4 |
| tree bark | 4 | 1 | 2 |
| whale liver | 3 | 2 | 3 |
| a raw komodo dragon egg | 3 | 4 | 1 |
| cow urine | 2 | 4 | 2 |
| fish eyeballs | 4 | 1 | 1 |
| bat’s liver | 2 | 1 | 1 |
| lizard brain | 3 | 1 | 1 |
| chihuahua hair | 1 | 2 | 1 |
| donkey penis | 3 | 1 | 2 |
| ant feces | 4 | 1 | 2 |
| dill weed | 2 | 2 | 3 |
| filet of fenny snake | 4 | 4 | 2 |
| human placenta | 2 | 2 | 4 |
| toad | 3 | 5 | 2 |
| eye of newt | 5 | 2 | 4 |
| toe of frog | 2 | 2 | 2 |
| tongue of dog | 1 | 1 | 2 |
| leg of lizard | 1 | 1 | 1 |
| scale of dragon | 5 | 2 | 5 |
| sheep testicles | 2 | 2 | 3 |
| fermented shark | 3 | 2 | 2 |
| root of hemlock | 5 | 5 | 3 |
| a red and white mushroom | 1 | 5 | 1 |
| warthog rectum | 1 | 3 | 3 |
Youtube channels
| Channel | Commonness Score | Enjoyment Score |
|---|---|---|
| Bijuu Mike | 5 | 5 |
| LaurenzSide | 3 | 5 |
| Gloom | 4 | 5 |
| MattShea | 3 | 4 |
| Kubz Scouts | 3 | 4 |
| Lavender Towne | 3 | 5 |
| Carmen King | 3 | 3 |
| Clare Siobhan | 3 | 3 |
| oompaville | 3 | 3 |
| funBABE | 3 | 4 |
| Jr e Mi | 2 | 3 |
| Vixella | 2 | 3 |
| Tanya Bregar | 5 | 5 |
| Jacksepticeye | 3 | 5 |
| Call Me Kevin | 3 | 3 |
| Yammy | 1 | 2 |
| Lucas | 1 | 2 |
| Deligracy | 2 | 2 |
| jennxpenn | 2 | 4 |
| MacNcheeseP1z | 1 | 4 |
| Markiplier | 1 | 3 |
| PewDiePie | 2 | 3 |
| LazarBeam | 1 | 3 |
| AzzyLand | 1 | 3 |
| Kwebbelkop | 1 | 3 |
| Jelly | 1 | 3 |
| iamSanna | 1 | 3 |
| videogamedunkey | 1 | 3 |
| DanTDM | 1 | 3 |
| VanossGaming | 1 | 3 |
| Aphmau | 1 | 3 |
| TheOrionSound | 1 | 3 |
| Steph0sims | 1 | 3 |
| Fernanfloo | 1 | 3 |
| SSSniperWolf | 1 | 3 |
| iHasCupquake | 1 | 3 |
| ItsFunneh | 1 | 3 |
| AyChristeneGames | 2 | 3 |
| CaptainSauce | 1 | 3 |
| MaxPalaro | 2 | 4 |
| Drae | 1 | 3 |
| Drew Durnil | 1 | 3 |
| SSundee | 1 | 3 |
| Kelsey Impicciche | 2 | 4 |
| LubaTV | 1 | 4 |
| FlyGunCZ | 3 | 4 |
| Dariya Rain | 1 | 3 |
| Plumbella | 1 | 3 |
| O Jean Luca | 1 | 3 |
| windy31 | 2 | 4 |
| T3ddy | 1 | 4 |
| HaleyJean ASMR | 2 | 3 |
| Oyun Konsolu | 2 | 4 |
| Annika Osterlund | 1 | 3 |
| Danny Jesden | 3 | 3 |
| MxR Plays | 1 | 3 |
| ZaiLetsPlay | 1 | 3 |
| Dois Marmotas | 1 | 3 |
| Razzbowski | 1 | 3 |
| lonniedos | 1 | 3 |
| Simplynessa15 | 1 | 3 |
| Joey Graceffa | 1 | 3 |
| Lexiroogaming | 3 | 3 |
More activities data
The remaining content, including news, notifications, celebrities, and the name/username/street generators:
| Content | Entries |
|---|---|
| Actors real | 172 |
| Alcohol | 39 |
| Alcohol scenarios | 57 |
| Alternate icon names | 19 |
| Animals | 73 |
| Assaults | 228 |
| BillingMode | 0 |
| Biographies | 45 |
| Birth circumstances | 187 |
| Black market auction categories | 7 |
| Black market auction house names | 3 |
| Black market auctioneer color | 43 |
| Black market chemist feedback color | 45 |
| Black market museum name | 18 |
| Black market museum report color | 20 |
| Black market police intoxicated hero color | 21 |
| Black market police intoxicated warning | 20 |
| Black market purchase requests | 43 |
| Black market street chemist cut ingredients | 58 |
| Black market taxidermist business names | 8 |
| Body parts | 78 |
| Books | 213 |
| Boosts | 126 |
| Bully scenarios | 33 |
| Celeb dating app ceo | 1 |
| Celeb dating app names | 405 |
| Celebrities | 453 |
| City regions | 246 |
| Compliments | 139 |
| Conversations | 345 |
| Crashout celebrity friend string | 43 |
| Crashout public response string | 32 |
| Date rejections | 141 |
| Delinquent activities | 55 |
| Drug scenarios | 67 |
| Dumb scenarios actor | 165 |
| Dumb scenarios album | 77 |
| Dumb scenarios business | 168 |
| Dumb scenarios calendar | 366 |
| Dumb scenarios career | 419 |
| Dumb scenarios holiday | 95 |
| Dumb scenarios hustler | 121 |
| Dumb scenarios music | 98 |
| Dumb scenarios political office | 90 |
| Dumb scenarios royal | 71 |
| Dumb scenarios sports | 85 |
| Dumb scenarios universal | 258 |
| Error | 81 |
| Female0 age13 | 0 |
| Female0 age4 | 0 |
| Female1 age13 | 0 |
| Female1 age4 | 0 |
| Female2 age13 | 0 |
| Female2 age4 | 0 |
| Fight Club Scenarios Ageups | 13 |
| Fight Club Scenarios Coach | 7 |
| Fight Club Scenarios Compliment | 6 |
| Fight Club Scenarios Doping | 14 |
| Fight Club Scenarios Drug Screening | 5 |
| Fight Club Scenarios Fight Betting | 3 |
| Fight Club Scenarios Fighters Brawl | 13 |
| Fight Club Scenarios Fighting League | 25 |
| Fight Club Scenarios Healed | 1 |
| Fight Club Scenarios Hero Becomes Fighter | 2 |
| Fight Club Scenarios Hookup Fan | 25 |
| Fight Club Scenarios Hookup Fighter | 26 |
| Fight Club Scenarios Injury Acquired | 2 |
| Fight Club Scenarios Move Unlock | 6 |
| Fight Club Scenarios MoveSet Setup | 4 |
| Fight Club Scenarios Physical Therapy | 4 |
| Fight Club Scenarios Post League Match | 11 |
| Fight Club Scenarios Post League Match Interaction | 5 |
| Fight Club Scenarios Profile | 3 |
| Fight Club Scenarios Profile Fighter | 3 |
| Fight Club Scenarios Promotion | 1 |
| Fight Club Scenarios Recharge | 4 |
| Fight Club Scenarios Retirement | 2 |
| Fight Club Scenarios Surgery | 4 |
| Fight Club Scenarios Training | 7 |
| Fight Club Scenarios Trash Talk | 6 |
| Fight Club Scenarios Tutorial | 5 |
| Fight Club Scenarios Vampire Tax | 1 |
| Fight Club Scenarios Wild Encounter | 3 |
| First kiss reactions | 235 |
| Gender scenarios | 28 |
| Genesis arson | 22 |
| Genesis bingo win color | 22 |
| Genesis excursion activity | 48 |
| Genesis loan | 153 |
| Genesis senior beg color | 31 |
| Genesis senior drama | 33 |
| Genesis senior water aerobics | 22 |
| Genesis swinging encounter color | 32 |
| Gifts | 383 |
| GpResponse | 0 |
| Heirlooms | 209 |
| Hero filler | 1,132 |
| Hitmen | 81 |
| Horses | 114 |
| Insults | 205 |
| Local notification v1 text | 18 |
| Login | 81 |
| Magazines | 44 |
| Male0 age13 | 0 |
| Male0 age4 | 0 |
| Male1 age13 | 0 |
| Male1 age4 | 0 |
| Male2 age13 | 0 |
| Male2 age4 | 0 |
| Movies | 244 |
| Musicians | 216 |
| News events | 157 |
| Notification bait | 36 |
| Notification heirlooms | 42 |
| Notification voices | 64 |
| Paparazzi scenarios | 14 |
| Pets | 135 |
| Pray asset scenarios | 6 |
| Pray feedback | 21 |
| Pray wealth scenarios | 20 |
| Proposal settings | 80 |
| Public places | 223 |
| Relationship counseling scenarios | 53 |
| Sexuality scenarios | 102 |
| Social media hacks | 26 |
| Social media promotion products | 148 |
| Social media troll inbounds | 28 |
| Social media troll outbounds | 38 |
| Special talent filler | 73 |
| Stalker scenarios | 37 |
| Street names | 437 |
| Street persons | 201 |
| Termination scenarios | 109 |
| Time machine scenarios | 22 |
| Username adjectives | 195 |
| Username nouns | 200 |
| Username structure | 18 |
| Vacation destinations | 325 |
| Voltron componentFilenames | 1,381 |
| Voltron disguiseFilenames | 283 |
| War scenarios | 71 |