The Banana massacre Tragedy Casualties Visualization Tool - Cockeyed.com

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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 got out of jail two years ago and never reunited with his family.

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

This was a person. He could fix anything.

This was a person. She was left-handed.

This was a person. He was afraid of flying. He was a drunk.

This was a person. She was sleeping with her ex.

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

This was a person. She loved to make out. She was always in a hurry.

This was a person. He sang.

This was a person. She was a Mac evangelist. She loved to fish.

This was a person. He was awaiting judgement for a DUI last month. He was a translator.

This was a person. He could juggle.

This was a person. She survived cancer.

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

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

This was a person. He never drank coffee.

This was a person. He ate a lot of fiber. He never finished the book club book.

This was a person. He had a gun.

This was a person. She always made the mashed potatoes at family get-togethers. She was a street vendor.

This was a person. She wanted to learn magic. She always wore a hat.

This was a person. He always had gum.

This was a person. He was a hoarder.

This was a person. He took a lot of photos.

This was a person. She wrote for the newspaper. She ate a lot of hot dogs.

This was a person. She can't watch the end of T2 without crying She was a secret Buddahist.

This was a person. She was a translator.

This was a person. He took a lot of photos.

This was a person. He spends a lot of time watching tennis. He wore bow ties.

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

This was a person. He loved wine. He had extensions.

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

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

This was a person. She was a pharmacist.

This was a person. He never drank coffee.

This was a person. He was divorced.

This was a person. He went to church.

This was a person. He never drank coffee. He could play banjo.

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

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

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

This was a person. She grew up on a farm. She had just paid a crapload of money to get teeth fixed.

This was a person. She called in sick to work 9 times last month and was written up at work.

This was a person. She was a cheapskate.

This was a person. He was a drunk.

This was a person. She abused cars.

This was a person. She had a hangover yesterday.

This was a person. She was sporty. She made scrapbooks.

This was a person. He had long fingernails.

This was a person. He slept around.

This was a person. She was afraid of flying. She was a trivia master.

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

This was a person. She smoked pot at music festivals.

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

This was a person. She always made the mashed potatoes at family get-togethers.

This was a person. He got a terrible haircut a few days ago and shaved his head to escape from it.

This was a person. She just had her car stereo repaired.

This was a person. She had an unfortunate nickname.

This was a person. She had VD.

This was a person. He taught guitar. He was homophobic.

This was a person. She didn't have a family.

This was a person. She was a wedding photographer.

This was a person. He was very good at cleaning.

This was a person. He wanted to learn magic.

This was a person. She had a hangover yesterday.

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

This was a person. She had VD.

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

This was a person. He did open mike.

This was a person. He was kind of addicted to ebay.

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

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

This was a person. He could play banjo.

This was a person. She had bonsai trees.

This was a person. He had a gun.

This was a person. She had a twin. She was kind of an awesome lover.

This was a person. She was homophobic.

This was a person. She got a terrible haircut a few days ago and shaved her head to escape from it.

This was a person. He was sleeping with his ex.

This was a person. He could fix anything. He taught guitar.

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

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

This was a person. She had an unfortunate nickname. She played World of Warcraft

This was a person. He always made the mashed potatoes at family get-togethers.

This was a person. She could play banjo.

This was a person. He loved wine. He never finished the book club book.

This was a person. He was an awful driver.

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

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

This was a person. He kept to himself mostly

This was a person. She led the choir.

This was a person. She was working her way through all of the shows on Netflix. She was afraid of the water.

This was a person. She helped people.

This was a person. He was rebuilding an engine.

This was a person. She looked like a cartoon. She went to the horseraces.

This was a person. He was a tailor.

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

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

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

This was a person. He was sporty.

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

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.

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