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. She  was a pharmacist. This was a person. He was a cat person. This was a person. He  was a plumber. This was a person. He  was a mason. This was a person. He wrote for the newspaper. This was a person. She just had  her car stereo repaired. This was a person. She led the choir. She played chess. This was a person. She was a dog person. She kept to herself mostly This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. This was a person. He  was a poet. This was a person. She threw a lot of parties. This was a person. She ate a lot of fish. This was a person. He led the choir. This was a person. She helped people. She had a podcast. This was a person. He could play banjo. He sang. This was a person. She wore earphones all the time. This was a person. She had a sexy phone voice. She fixed bikes. This was a person. She was rebuilding an engine. This was a person. He has four overdue books.  This was a person. He prefered bread without crusts. This was a person. She loved oreos. She could play cricket. This was a person. She  was a teacher. She loved James Bond movies. This was a person. He brought great food to social gatherings. This was a person. She had a podcast. This was a person. She sang at parties. She had a lot of shoes. This was a person. He  always bought flowers for  his  desk. This was a person. He wanted to learn magic. This was a person. He wore bow ties. This was a person. He  was training to run a marathon. This was a person. He was a skilled woodcarver. This was a person. He occasionally shop lifted. This was a person. She could play trumpet. She loved chocolate. This was a person. He talked during movies. This was a person. She  was learning to use CAD software. This was a person. He could play banjo. This was a person. She was a vegetarian. This was a person. She always had a clean car. She was a good dancer. This was a person. He  was a tailor. This was a person. He  was learning to speak French. This was a person. He  was a mason. This was a person. She  finished reading all of the works of Homer. This was a person. He always made the mashed potatoes at family get-togethers. This was a person. She got out of jail two years ago and never reunited with her family. This was a person. He had a baby boy. He  had VD. This was a person. She  kept buying vegetables, even though they always just went bad in  her fridge. This was a person. She has two living parents. This was a person. She  was a translator. This was a person. He was a crossword whiz. He played piano. This was a person. He  was a pharmacist. He made  his  own beer and was kind of stingy with it. This was a person. She knew a lot of cops. This was a person. She had just paid a crapload of money to get    teeth fixed. This was a person. She had a podcast. This was a person. She did not own a fridge. This was a person. She  went to church. This was a person. She was good to people. She was diabetic. This was a person. She  played soccer every weekend. This was a person. He knew a lot of cops. He was divorced. This was a person. He has two living parents. This was a person. He wrote for the newspaper. He had a bunch of cameras. This was a person. She wore Spandex. This was a person. He  was a drunk. This was a person. He was cockeyed. This was a person. She loved nachos. This was a person. She  was learning to speak French. She  loved to make out. This was a person. She couldn't grow a mustache. She had a lot of music on vinyl. This was a person. She always had gum. She once robbed a bank. This was a person. He ate the food at convenience stores. This was a person. She always wore a hat. This was a person. He knew a lot of cops. He made pie. This was a person. She slept around. This was a person. He made  his  own beer and was kind of stingy with it. This was a person. She was rough and tumble. This was a person. She  only ever had sex with one person. This was a person. She was a cat person. This was a person. She played piano. This was a person. She was good at job interviews. This was a person. She always had a clean car. This was a person. She was a wedding photographer. This was a person. He never carried cash. He watched a lot of sports on TV, but never played them  himself. This was a person. He was very careful about conserving gasoline. This was a person. She ate a lot of hot dogs. This was a person. She sang at parties. This was a person. She wore a lot of jewelry. She played piano. This was a person. He was a secret Buddahist. This was a person. He had bonsai trees. This was a person. He had a lot of Beatles records. This was a person. He ate a lot of kale. This was a person. He was a crossword whiz. This was a person. She had a podcast. She could play banjo. This was a person. She could juggle. This was a person. She  was a drunk. This was a person. She wore a lot of hats.  This was a person. She had a bunch of cameras. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. This was a person. He was a cat person. This was a person. He  was kind of an awesome lover. This was a person. He taught guitar. He chewed gum constantly. This was a person. He played World of Warcraft This was a person. She slept around. This was a person. She was thrifty.

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
  • The Television Commercial Database

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