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. She wore earphones all the time.

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

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

This was a person. She never raised hervoice.

This was a person. She constantly wore sunglasses.

This was a person. She loved cigarettes. She sang at parties.

This was a person. She had tropical fish.

This was a person. She could always get tickets.

This was a person. She was rebuilding an engine.

This was a person. He was a glassblower.

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

This was a person. She helped people. She snored.

This was a person. He could play banjo.

This was a person. She scalped tickets

This was a person. He loved fine dining.

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

This was a person. She was good to people. She was convinced he was color blind.

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

This was a person. He loved Elvis.

This was a person. He had a bunch of tattoos. He could fall asleep anywhere.

This was a person. She was cockeyed.

This was a person. She occasionally shop lifted.

This was a person. He was good to people.

This was a person. He played piano. He never ate breakfast.

This was a person. She had an awesome home theatre.

This was a person. She always had gum.

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

This was a person. He didn't have a family. He was kind of an awesome lover.

This was a person. She was an expert barbecuer.

This was a person. She plays fantasy football.

This was a person. She did open mike.

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

This was a person. She always bought flowers for her desk. She was a poet.

This was a person. He was gluten intolerant. He had long fingernails.

This was a person. She has four overdue books. She spent a lot of time with old people.

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

This was a person. She had bonsai trees. She loved wine.

This was a person. He plays fantasy football.

This was a person. He abused cars.

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

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

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

This was a person. She was 4 days sober. She was a teacher.

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

This was a person. She could juggle.

This was a person. She helped strangers.

This was a person. She was the richest of her friends.

This was a person. She played piano.

This was a person. He has four overdue books.

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

This was a person. She was a historian.

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

This was a person. She was a scout leader.

This was a person. She was polite to salesmen.

This was a person. She loved pot. She always had gum.

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

This was a person. She had been having trouble tying her shoes because she pulled a muscle in her abs.

This was a person. She had a podcast. She was lactose intolerant.

This was a person. He always had gum. He spends a lot of time watching tennis.

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

This was a person. He went to church.

This was a person. She was a crossword whiz. She had an awesome home theatre.

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

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

This was a person. He helped strangers. He excelled at woodworking.

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

This was a person. He could play cricket. He loved nachos.

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

This was a person. She had extensions.

This was a person. She had a personal injury lawsuit working its way through the courts. She loved James Bond movies.

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

This was a person. She loved Elvis.

This was a person. She never carried cash.

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

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

This was a person. He was good to people.

This was a person. He had crazy hair colors.

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 polite to telemarketers. She had extensions.

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

This was a person. He went to church.

This was a person. She was a glassblower.

This was a person. He loved nachos.

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

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

This was a person. He had a lot of Beatles records.

This was a person. He tutored kids.

This was a person. He has two living parents.

This was a person. She was a virgin. She made her own beer and was kind of stingy with it.

This was a person. She played chess. She loved museums.

This was a person. She was a secret Buddahist. She never drank coffee.

This was a person. He was divorced.

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

This was a person. She was a drunk.

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 very careful about conserving gasoline. He had crazy hair colors.

This was a person. He loved nachos.

This was a person. She was a cheapskate. She helped strangers.

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

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

View a different tragedy with the Disaster Visualization Tool

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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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