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 loved oreos.

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

This was a person. She was a scout leader.

This was a person. He had been having trouble tying his shoes because he pulled a muscle in his abs.

This was a person. She was always in a hurry.

This was a person. She took careful notes after every meal.

This was a person. She ate a lot of raisins.

This was a person. She helped strangers.

This was a person. She wrote for the newspaper.

This was a person. She survived cancer.

This was a person. He was 4 days sober.

This was a person. He sang at parties.

This was a person. She has a suit at the cleaners.

This was a person. He was a translator.

This was a person. He could play cricket.

This was a person. She could play harmonica. She loved pot.

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

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

This was a person. He sang.

This was a person. She could play cricket.

This was a person. He could play harmonica. He tutored kids.

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

This was a person. She didn't get along with animals.

This was a person. She had tropical fish. She loved oreos.

This was a person. She always had a clean car.

This was a person. She was rebuilding an engine. She could fall asleep anywhere.

This was a person. She was a trivia master.

This was a person. She was a skilled woodcarver.

This was a person. He was a pharmacist.

This was a person. He was a DJ. He loved James Bond movies.

This was a person. He chewed nicotine gum.

This was a person. She was 4 days sober.

This was a person. He prefered bread without crusts.

This was a person. She never drank coffee.

This was a person. She loved oreos.

This was a person. He loved pot.

This was a person. She couldn't grow a mustache. She knew a lot of cops.

This was a person. She always brought lunch.

This was a person. He wore earphones all the time.

This was a person. She ate the food at convenience stores.

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

This was a person. She was sporty.

This was a person. She was living with her sister.

This was a person. He was good to people.

This was a person. She loved cigarettes.

This was a person. She wanted to learn magic.

This was a person. He always had gum.

This was a person. He played World of Warcraft

This was a person. He was polite to telemarketers.

This was a person. She was a secret Buddahist. She was a vegetarian.

This was a person. He did not sleep with a pillow.

This was a person. He could play trumpet.

This was a person. He wore earphones all the time.

This was a person. She had a gun.

This was a person. She had VD. She was a translator.

This was a person. He took careful notes after every meal.

This was a person. He snored. He loved wine.

This was a person. He never carried cash.

This was a person. She taught guitar.

This was a person. He was a translator. He was working his way through all of the shows on Netflix.

This was a person. He wanted to learn magic.

This was a person. He grew up on a farm.

This was a person. She was lactose intolerant.

This was a person. He could always get tickets. He was an awful driver.

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

This was a person. He was training to run a marathon. He had VD.

This was a person. He went to church. He talked during movies.

This was a person. She was the unofficial relationship guru among friends.

This was a person. He played a lot of social card games.

This was a person. He watched a lot of sports on TV, but never played them himself. He was a vegetarian.

This was a person. He played chess.

This was a person. She could play trumpet.

This was a person. She loved cigarettes.

This was a person. He was allergic to peanuts.

This was a person. He never ate breakfast.

This was a person. He had an unfortunate nickname. He abused cars.

This was a person. She could play cricket.

This was a person. She was learning to speak French.

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

This was a person. He could fall asleep anywhere.

This was a person. She was a dog person. She wanted to learn magic.

This was a person. He was a hoarder. He tutored kids.

This was a person. He never ate breakfast. He kept to himself mostly

This was a person. He wrote for the newspaper. He ate a lot of fish.

This was a person. He had a bunch of cameras.

This was a person. He was a vegetarian.

This was a person. She ate a lot of chinese food.

This was a person. He could play harmonica.

This was a person. He never raised hisvoice. He had a bunch of cameras.

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

This was a person. She played piano. She chewed gum constantly.

This was a person. She was a dog person.

This was a person. He ate a lot of fiber.

This was a person. She got thrown off of a golf course.

This was a person. He constantly wore sunglasses. He kept to himself mostly

This was a person. He had a green thumb.

This was a person. He got thrown off of a golf course.

This was a person. He made his own beer and was kind of stingy with it. He never raised hisvoice.

This was a person. She has two living parents.

This was a person. He loved to make out.

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