The Banana massacre Tragedy Casualties Visualization Tool - Cockeyed.com

Cockeyed.com

How much is Inside?
Pranks!
Community & Citizenship
Height Weight Chart
Science Club
Incredible Stuff
How To Guides
Travel

About
Contact

Disaster Casualties Visualization Tool: The Banana massacre: 1928

100 Dead Men and Women

The Banana massacre was a massacre of striking workers for the United Fruit Company on December 6, 1928 in the town of Ciénaga, Colombia. The number of dead has not been accurately noted.

This was a person. He was learning to use CAD software.

This was a person. She tutored kids.

This was a person. He loved oreos.

This was a person. He was a scout leader.

This was a person. He was the unofficial relationship guru among friends. He had an unfortunate nickname.

This was a person. She was a tailor.

This was a person. She could always get tickets. She just had her car stereo repaired.

This was a person. She could fix anything.

This was a person. She watched a lot of sports on TV, but never played them herself.

This was a person. He never carried cash.

This was a person. He chewed gum constantly.

This was a person. He always bought flowers for his desk.

This was a person. He had just paid a crapload of money to get teeth fixed.

This was a person. She volunteered at a middle school, because she had a crush on one of the other tutors.

This was a person. She could play cricket.

This was a person. He was good at job interviews.

This was a person. She ate a lot of hot dogs. She did not own a fridge.

This was a person. She was a cat person.

This was a person. He knew how to get free satelittle television.

This was a person. He made pie.

This was a person. He ate a lot of hot dogs.

This was a person. She was a teacher.

This was a person. He had just paid a crapload of money to get teeth fixed.

This was a person. She just had the bandages removed from plastic surgery.

This was a person. He had a podcast.

This was a person. She made scrapbooks.

This was a person. She was afraid of the water.

This was a person. He loved pot. He was rough and tumble.

This was a person. She collected figurines.

This was a person. He threw a lot of parties.

This was a person. She was afraid of flying.

This was a person. She could juggle.

This was a person. He loved nachos.

This was a person. He always brought reusable bags into the store. He just had the bandages removed from plastic surgery.

This was a person. He was a tailor.

This was a person. He played World of Warcraft He was balding.

This was a person. She grew up on a farm. She picked up litter.

This was a person. He was a scout leader.

This was a person. She was a vegetarian.

This was a person. She always brought reusable bags into the store.

This was a person. He abused cars. He was obsessed with sitcoms.

This was a person. She collected figurines.

This was a person. She was a secret Buddahist.

This was a person. She could fall asleep anywhere. She helped people.

This was a person. He could juggle. He always had a clean car.

This was a person. She led the choir. She helped strangers.

This was a person. He had a hangover yesterday.

This was a person. He was a translator.

This was a person. He wore bow ties.

This was a person. He volunteered at a middle school, because he had a crush on one of the other tutors. He always bought flowers for his desk.

This was a person. She abused cars.

This was a person. She talked during movies.

This was a person. He made scrapbooks.

This was a person. He made his own beer and was kind of stingy with it.

This was a person. He loved fine dining.

This was a person. He prefered bread without crusts.

This was a person. She was playing nine games of Words with Friends on her phone. She was rebuilding an engine.

This was a person. She was learning to use CAD software. She was afraid of heights.

This was a person. She was rebuilding an engine.

This was a person. He got out of jail two years ago and never reunited with his family.

This was a person. She had a lot of shoes. She fixed bikes.

This was a person. She played soccer every weekend. She had a gun.

This was a person. She was an expert barbecuer. She loved museums.

This was a person. She was a crossword whiz. She loved James Bond movies.

This was a person. She wore a lot of hats.

This was a person. He couldn't grow a mustache.

This was a person. He was very careful about conserving gasoline.

This was a person. He had VD.

This was a person. He had a baby boy.

This was a person. He had bonsai trees.

This was a person. She had VD.

This was a person. He always bought flowers for his desk.

This was a person. He could play cricket. He slept around.

This was a person. He dropped his work laptop last week, destroyed it and couldn't sleep for days.

This was a person. She had a lot of music on vinyl. She was thrifty.

This was a person. She had VD.

This was a person. She finished reading all of the works of Homer.

This was a person. She ate a lot of hot dogs.

This was a person. He was cockeyed.

This was a person. She loved chocolate.

This was a person. She overtipped.

This was a person. She was sporty.

This was a person. She loved cigarettes.

This was a person. He had a lot of music on vinyl.

This was a person. He only ever had sex with one person.

This was a person. She played soccer every weekend.

This was a person. She was homophobic. She had a bunch of cameras.

This was a person. She had a sexy phone voice. She had a sailboat as a teen.

This was a person. He brought great food to social gatherings.

This was a person. He loved pot.

This was a person. He plays fantasy football.

This was a person. She was a virgin.

This was a person. She loved Elvis.

This was a person. He did not own a fridge.

This was a person. She was afraid of the water.

This was a person. She made scrapbooks.

This was a person. She taught guitar.

This was a person. He had a gun.

This was a person. He was learning to use CAD software.

This was a person. She was a trivia master.

View a different tragedy with the Disaster Visualization Tool

Jonestown | The Titanic | Kent State Shootings | My Lai | Lockerbie bombing | Kent State Shootings | Tiananmen Square Massacre | The Banana massacre | The Boyd Massacre | Mountain Meadows massacre | Kfar Etzion Massacre | Sharpeville Massacre | The Miami Showband Massacre | The Novocherkassk massacre | Tokyo Subway Sarin attack | Sinking of the Titanic | The Happy Land Fire | Brooklyn Bridge stampede | 1990 Pilgrim Stampede | Luxor hot air balloon crash |

Mouse-over body descriptions are randomly generated, intended to inject humanity into the raw number of dead. It cannot accurately represent the actual people who died in the tragedy.

The Oatmeal Markup | Antiques Roadshow - The Ultimate "Neat Stuff" Show | Iphone vs. Kia | Let us Dilute that For You | Razor and Blades Business Model | Short-Circuiting the Facebook Tease Video Link | Other Websites Besides Healthcare.org which are Broken | Visualizing the Price of a Television | Personal account of working for commision at Banker's Life Insurance | The Three Problems with Child Car Seats | How Much Time is Really Left in the Basketball Game? | Who Uses Their Turn Signal? | Other Web Problems not related to Healthcare.org | The Cross-Section of a Couch | Comparing the Price of Used Car to the Price of a New Car | Rental Car Keys are Horrible | The Actual Amount of Time it Takes | Incorrect Shelf Prices at Walmart | Two Prices for Auto Body Repair | Roadside Sobriety Test | Cash in your Pennies | Get it Together Walmart | Price Increases at Fast Food Restaurants | Yard Sale is Shoe Store Scam | Disaster Casualties Visualization Tool | Walmart vs Target: 2013 | The 146 Drugs in Walmart's $4 Prescription Drug Plan | Email Concealer Codes | accumulating credit card debt | Selling a Structured Settlement | The Torn-up Credit Card Application ! Kirby Vacuum Cleaners

Photographic Height/Weight Chart

The Weight of Clothing

Cockeyed home page | Contact | Terms and Conditions | Updated February 27, 2013 Copyright 2013 Cockeyed.com