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 nachos. He looked like a cartoon.

This was a person. He was a scout leader.

This was a person. She always wore a hat. She looked like a cartoon.

This was a person. He loved to fish. He had a podcast.

This was a person. She had extensions.

This was a person. He was a hoarder.

This was a person. He occasionally shop lifted.

This was a person. She brought great food to social gatherings.

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

This was a person. She ate the food at convenience stores.

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

This was a person. She was polite to salesmen.

This was a person. He was a cat person. He prefered bread without crusts.

This was a person. He plays fantasy football. He once robbed a bank.

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

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

This was a person. She could fall asleep anywhere.

This was a person. She threw a lot of parties.

This was a person. He was a Mac evangelist.

This was a person. He was a DJ.

This was a person. He wrote for the newspaper. He could play harmonica.

This was a person. She never drank coffee.

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

This was a person. He had a bunch of cameras. He ate a lot of fiber.

This was a person. He was sporty. He abused cars.

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

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

This was a person. She was left-handed.

This was a person. She was a historian.

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

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

This was a person. She got out of jail two years ago and never reunited with her family. She was a pharmacist.

This was a person. He can't watch the end of T2 without crying He watched a lot of sports on TV, but never played them himself.

This was a person. He was living with his sister.

This was a person. She had tropical fish.

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

This was a person. He was a glassblower.

This was a person. She loved fine dining.

This was a person. He had bonsai trees.

This was a person. She always had gum.

This was a person. She had crazy hair colors.

This was a person. He played World of Warcraft

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

This was a person. She kept to herself mostly

This was a person. She never ate breakfast.

This was a person. He had a green thumb.

This was a person. He collected figurines.

This was a person. She could always get tickets.

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

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

This was a person. He smoked pot at music festivals. He didn't give a damn about food.

This was a person. She was gluten intolerant.

This was a person. He played chess.

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

This was a person. She once robbed a bank. She was obsessed with sitcoms.

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

This was a person. He never ate breakfast. He could play harmonica.

This was a person. She chewed gum constantly.

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

This was a person. He played World of Warcraft

This was a person. He was a mason.

This was a person. She constantly wore sunglasses.

This was a person. He got out of jail two years ago and never reunited with his family.

This was a person. She was a street vendor.

This was a person. He was thrifty.

This was a person. He wrote for the newspaper.

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

This was a person. She overtipped.

This was a person. She just had the bandages removed from plastic surgery.

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

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

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

This was a person. He made pie.

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

This was a person. She had a sexy phone voice.

This was a person. She loved cigarettes. She just had the bandages removed from plastic surgery.

This was a person. He prefered bread without crusts.

This was a person. He had a green thumb. He was going blind.

This was a person. He had braces on his teeth.

This was a person. He was polite to telemarketers.

This was a person. He could play cricket. He always wore a hat.

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

This was a person. She had a hangover yesterday.

This was a person. He loved oreos.

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

This was a person. He had long fingernails.

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

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

This was a person. He wrote for the newspaper.

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

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

This was a person. He slept around.

This was a person. She was sleeping with her ex. She always bought flowers for her desk.

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

This was a person. He kept buying vegetables, even though they always just went bad in his fridge.

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 knew a lot of cops.

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

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

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

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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