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 was a vegetarian.

This was a person. She excelled at woodworking.

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

This was a person. She was a cat person.

This was a person. She had a bunch of tattoos. She couldn't grow a mustache.

This was a person. He was rough and tumble.

This was a person. He could play cricket.

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

This was a person. He loved cigarettes.

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

This was a person. He talked during movies. He always brought lunch.

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

This was a person. He played World of Warcraft

This was a person. She sang.

This was a person. She had just paid a crapload of money to get her teeth fixed.

This was a person. She was polite to telemarketers.

This was a person. She loved wine.

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 had tropical fish.

This was a person. She loved nachos.

This was a person. He had braces on his teeth. He constantly wore sunglasses.

This was a person. He was a street vendor. He was a DJ.

This was a person. He played chess. He helped strangers.

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

This was a person. She was playing nine games of Words with Friends on her phone.

This was a person. He has two living parents.

This was a person. He was a skilled woodcarver.

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

This was a person. She was good to people. She excelled at woodworking.

This was a person. He loved wine.

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

This was a person. She was thrifty.

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

This was a person. He was a good dancer.

This was a person. She never raised hervoice. She brought great food to social gatherings.

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

This was a person. She made pie. She kept to herself mostly

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

This was a person. He wanted to learn magic.

This was a person. She was a trivia master.

This was a person. She had a hangover yesterday.

This was a person. He scalped tickets

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

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

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

This was a person. He was a translator.

This was a person. He was a trivia master.

This was a person. She loved wine.

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

This was a person. She was 4 days sober.

This was a person. He was playing nine games of Words with Friends on his phone.

This was a person. He spent a lot of time with old people.

This was a person. He picked up litter.

This was a person. She always wore a hat.

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

This was a person. She was afraid of heights.

This was a person. He was homophobic. He was allergic to peanuts.

This was a person. She was a tailor.

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

This was a person. He never drank coffee. He loved wine.

This was a person. He wore bow ties.

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

This was a person. She was sporty.

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

This was a person. He constantly wore sunglasses.

This was a person. He was rebuilding an engine.

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

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

This was a person. She was a Mac evangelist.

This was a person. She lived on breakfast bars.

This was a person. He sang.

This was a person. He could play harmonica.

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

This was a person. She was rough and tumble.

This was a person. He was the richest of his friends.

This was a person. He always had gum. He helped strangers.

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

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

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

This was a person. He had tropical fish. He kept to himself mostly

This was a person. She never drank coffee.

This was a person. She played piano.

This was a person. He was afraid of the water. He could fall asleep anywhere.

This was a person. He was the richest of his friends.

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 brought reusable bags into the store.

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

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

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

This was a person. She taught guitar. She chewed gum constantly.

This was a person. She wore bow ties. She loved MASH.

This was a person. He chewed nicotine gum. He once robbed a bank.

This was a person. She prefered bread without crusts.

This was a person. He loved fine dining.

This was a person. She had long fingernails. She had extensions.

This was a person. He was a trivia master. He talked during movies.

This was a person. She was cockeyed.

This was a person. She could play harmonica.

This was a person. She excelled at woodworking. She loved museums.

This was a person. He was divorced. He brought great food to social gatherings.

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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