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 cat person. This was a person. She was polite to telemarketers. This was a person. He ate the food at convenience stores. This was a person. She made pie. This was a person. She wore a lot of hats.  This was a person. She was an expert barbecuer. She couldn't stand having the air-conditioner blow on   herself . This was a person. She loved fine dining. This was a person. He survived cancer. This was a person. She  was kind of an awesome lover. This was a person. He was divorced. He could play trumpet. This was a person. She chewed nicotine gum. This was a person. She  had VD. This was a person. He  was sleeping with  his  ex. He  did open mike. This was a person. He  did open mike. This was a person. He occasionally shop lifted. This was a person. She was rebuilding an engine. This was a person. She  was sleeping with  her  ex. This was a person. She never drank coffee. She loved cigarettes. This was a person. She played piano. This was a person. He was afraid of heights. This was a person. He got thrown off of a golf course. He chewed nicotine gum. This was a person. He talked during movies. He could fall asleep anywhere. This was a person. She was afraid of heights. She had a lot of Beatles records. This was a person. He didn't get along with animals. He picked up litter.  This was a person. She ate a lot of fish. This was a person. He had a sexy phone voice. This was a person. He played piano. This was a person. He knew how to get free satelittle television. He played guitar on the streets for money. This was a person. He loved oreos. This was a person. He  only ever had sex with one person. This was a person. She loved chocolate. This was a person. She  had VD. This was a person. She was 4 days sober. She  was awaiting judgement for a DUI last month. This was a person. He had a baby boy. This was a person. She  only ever had sex with one person. This was a person. She chewed gum constantly. This was a person. She could play harmonica. This was a person. She sang at parties. This was a person. He went to the horseraces. This was a person. He has four overdue books.  This was a person. She could play cricket. This was a person. He was a scout leader.  This was a person. He had crazy hair colors. This was a person. He  could always get tickets. He talked during movies. This was a person. He loved nachos. He just had the bandages removed from his plastic surgery. This was a person. She sang at parties. This was a person. He was 4 days sober. This was a person. She survived cancer. This was a person. He  was awaiting judgement for a DUI last month. This was a person. She spends a lot of time watching tennis. This was a person. He got thrown off of a golf course. This was a person. He played chess. This was a person. She was polite to salesmen. This was a person. He wanted to learn magic. This was a person. She loved Elvis. She had a podcast. This was a person. He had an awesome home theatre. He was a cat person. This was a person. She was a good dancer. This was a person. She could play harmonica. This was a person. She brought great food to social gatherings. She could play cricket. This was a person. He excelled at woodworking. This was a person. She chewed nicotine gum. This was a person. She wore earphones all the time. This was a person. She could play banjo. She was the unofficial relationship guru among  her friends. This was a person. He was gluten intolerant. This was a person. She could fall asleep anywhere. This was a person. He just had  his car stereo repaired. He loved Elvis. This was a person. She played piano. This was a person. He  was a pharmacist. This was a person. She was a wedding photographer. This was a person. She didn't have a family. This was a person. She loved Elvis. This was a person. He was a cat person. This was a person. He loved wine. This was a person. He had a gun. This was a person. He can't watch the end of T2 without crying He was a skilled woodcarver. This was a person. He has a suit at the cleaners. This was a person. He abused cars. This was a person. She spends a lot of time watching tennis. She was diabetic. This was a person. He had bonsai trees. This was a person. She spent a lot of time with old people. This was a person. He abused cars. This was a person. She ate a lot of hot dogs. This was a person. He kept to himself mostly He always wore a hat. This was a person. He got out of jail two years ago and never reunited with his family. He  got a terrible haircut a few days ago and shaved  his  head to escape from it. This was a person. He  was a translator. He  played soccer every weekend. This was a person. She led the choir. She had a lot of shoes. This was a person. She ate a lot of fiber. This was a person. She  was a teacher. This was a person. He lived on breakfast bars. He could play banjo. This was a person. He constantly wore sunglasses. This was a person. He was the richest of  his friends. This was a person. She  called in sick to work 9 times last month and was written up at work. She  was a mason. This was a person. He grew up on a farm.  This was a person. He had a lot of music on vinyl. This was a person. She has four overdue books.  She was going blind. This was a person. She has four overdue books.  This was a person. He abused cars. This was a person. He wore a lot of jewelry. This was a person. She always brought lunch. This was a person. He  was kind of an awesome lover.

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