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 had extensions.

This was a person. He has four overdue books.

This was a person. She had long fingernails.

This was a person. She loved nachos.

This was a person. He was polite to telemarketers. He loved cigarettes.

This was a person. She had extensions.

This was a person. She was a tailor.

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. She looked like a cartoon.

This was a person. He was a plumber.

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

This was a person. She played soccer every weekend. She never carried cash.

This was a person. She had an unfortunate nickname.

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

This was a person. She went to church.

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

This was a person. She spent a lot of time with old people. She couldn't stand having the air-conditioner blow on herself .

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

This was a person. He loved wine.

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

This was a person. He was an expert barbecuer.

This was a person. He survived cancer.

This was a person. He always bought flowers for his desk. He was a crossword whiz.

This was a person. He abused cars.

This was a person. She loved wine. She was very careful about conserving gasoline.

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

This was a person. She occasionally shop lifted.

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

This was a person. She picked up litter.

This was a person. He never raised hisvoice. He was a glassblower.

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

This was a person. He made his own beer and was kind of stingy with it. He did not sleep with a pillow.

This was a person. She was afraid of heights.

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

This was a person. He took careful notes after every meal. He made pie.

This was a person. He was sort of selfish in bed.

This was a person. He got thrown off of a golf course. He spent a lot of time with old people.

This was a person. She lived on breakfast bars.

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

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

This was a person. She was sort of selfish in bed.

This was a person. She had crazy hair colors. She got thrown off of a golf course.

This was a person. He loved pot.

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

This was a person. He always wore a hat. He loved fine dining.

This was a person. He abused cars.

This was a person. She abused cars.

This was a person. She plays fantasy football. She loved MASH.

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

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

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

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

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

This was a person. She had a twin.

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

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

This was a person. He loved cigarettes.

This was a person. He always had gum. He was good to people.

This was a person. She loved oreos. She wanted to learn magic.

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

This was a person. She was a hoarder.

This was a person. He was a dog person.

This was a person. He went to church.

This was a person. She played chess.

This was a person. He had VD. He was a poet.

This was a person. He played chess. He occasionally shop lifted.

This was a person. She had tropical fish.

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

This was a person. She was working her way through all of the shows on Netflix. She had a lot of Beatles records.

This was a person. She once robbed a bank.

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

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

This was a person. He ate a lot of raisins. He had crazy hair colors.

This was a person. He kept to himself mostly He could play banjo.

This was a person. He had a baby boy.

This was a person. She slept around.

This was a person. She survived cancer.

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

This was a person. She was cockeyed. She was good to people.

This was a person. She never ate breakfast.

This was a person. She was afraid of heights.

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

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

This was a person. He looked like a cartoon.

This was a person. He was a drunk.

This was a person. He abused cars.

This was a person. He lived on breakfast bars.

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

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

This was a person. He had a hangover yesterday. He was kind of an awesome lover.

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

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

This was a person. He finished reading all of the works of Homer. He was learning to use CAD software.

This was a person. He survived cancer.

This was a person. He was a teacher.

This was a person. He always had gum.

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

This was a person. He was sort of selfish in bed.

This was a person. He loved oreos.

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

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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