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 loved pot. He was left-handed.

This was a person. She loved chocolate.

This was a person. He never raised hisvoice.

This was a person. He always made the mashed potatoes at family get-togethers. He called in sick to work 9 times last month and was written up at work.

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

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

This was a person. He never raised hisvoice.

This was a person. He sang at parties. He was good to people.

This was a person. He was allergic to peanuts.

This was a person. He snored. He had long fingernails.

This was a person. He constantly wore sunglasses.

This was a person. She always brought lunch. She was a glassblower.

This was a person. She ate a lot of fish. She was allergic to peanuts.

This was a person. He made scrapbooks. He had a sailboat as a teen.

This was a person. She slept around. She was cockeyed.

This was a person. He had an unfortunate nickname.

This was a person. She survived cancer.

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

This was a person. He has four overdue books.

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

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

This was a person. He collected figurines.

This was a person. He just had his car stereo repaired. He had a lot of Beatles records.

This was a person. He ate a lot of kale. He had extensions.

This was a person. He was gluten intolerant.

This was a person. He always wore a hat.

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

This was a person. She wrote for the newspaper. She could juggle.

This was a person. She was a secret Buddahist.

This was a person. He was a drunk.

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

This was a person. She went to church.

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

This was a person. She was a crossword whiz.

This was a person. She was awaiting judgement for a DUI last month.

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

This was a person. He went to church. He took careful notes after every meal.

This was a person. He was learning to use CAD software. He just had his car stereo repaired.

This was a person. She kept buying vegetables, even though they always just went bad in her fridge. She was learning to use CAD software.

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

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

This was a person. She made pie.

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 had a green thumb.

This was a person. She wrote for the newspaper.

This was a person. He was polite to salesmen.

This was a person. He was polite to salesmen. He grew up on a farm.

This was a person. He helped strangers.

This was a person. She has two living parents.

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

This was a person. He was good to people.

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 afraid of heights.

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

This was a person. She prefered bread without crusts. She was very good at cleaning.

This was a person. She was learning to speak French.

This was a person. She was a wedding photographer.

This was a person. He had an unfortunate nickname. He played chess.

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

This was a person. He made his own beer and was kind of stingy with it.

This was a person. He talked during movies. He was a vegetarian.

This was a person. He had long fingernails.

This was a person. She was always in a hurry.

This was a person. She could fix anything.

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

This was a person. He loved wine.

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

This was a person. She kept buying vegetables, even though they always just went bad in her fridge. She was a plumber.

This was a person. He had a hangover yesterday.

This was a person. He was a cat person. He had a podcast.

This was a person. He overtipped. He had a sexy phone voice.

This was a person. She tutored kids. She always had gum.

This was a person. She could play banjo.

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

This was a person. She had a green thumb.

This was a person. He knew a lot of cops. He had tropical fish.

This was a person. He had a gun.

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

This was a person. He was a glassblower.

This was a person. He could play cricket.

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

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

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. He had just paid a crapload of money to get teeth fixed.

This was a person. He knew a lot of cops.

This was a person. He loved nachos.

This was a person. She loved chocolate.

This was a person. He volunteered at a middle school, because he had a crush on one of the other tutors. He was a plumber.

This was a person. She never carried cash. She talked during movies.

This was a person. She helped people.

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

This was a person. He collected figurines.

This was a person. She could fix anything.

This was a person. She abused cars.

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

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

This was a person. She had VD. She was afraid of heights.

This was a person. He was a hoarder. He wore a lot of hats.

This was a person. He had a sexy phone voice. He helped the widow next door.

This was a person. He could fall asleep anywhere.

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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