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 very careful about conserving gasoline. He was a cheapskate.

This was a person. He was a skilled woodcarver.

This was a person. He had a twin.

This was a person. She wore Spandex.

This was a person. He was a hoarder.

This was a person. He had an unfortunate nickname. He picked up litter.

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

This was a person. She had VD.

This was a person. He knew how to get free satelittle television. He made scrapbooks.

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

This was a person. He was a pharmacist.

This was a person. He smoked pot at music festivals. He helped the widow next door.

This was a person. He made pie.

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

This was a person. He once robbed a bank.

This was a person. He could fix anything.

This was a person. She can't watch the end of T2 without crying She had an awesome home theatre.

This was a person. She never carried cash. She never raised hervoice.

This was a person. She had an unfortunate nickname. She wore bow ties.

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

This was a person. He collected figurines.

This was a person. He could fall asleep anywhere.

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

This was a person. He was a skilled woodcarver.

This was a person. She plays fantasy football.

This was a person. He was an awful driver. He loved Elvis.

This was a person. He loved cigarettes. He survived cancer.

This was a person. She could play cricket.

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

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

This was a person. She always had gum.

This was a person. She was cockeyed.

This was a person. He sang.

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

This was a person. He went to the horseraces.

This was a person. He had bonsai trees.

This was a person. She brought great food to social gatherings. She ate a lot of hot dogs.

This was a person. She had a baby boy.

This was a person. She could play cricket.

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

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

This was a person. She was a cheapskate. She was a scout leader.

This was a person. She had VD. She was a DJ.

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

This was a person. She played World of Warcraft

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

This was a person. She was gluten intolerant.

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

This was a person. He was a skilled woodcarver.

This was a person. He could play banjo. He always had a clean car.

This was a person. She was a wedding photographer.

This was a person. She was a street vendor.

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

This was a person. He wanted to learn magic.

This was a person. He has four overdue books. He was diabetic.

This was a person. She was a historian. She was an awful driver.

This was a person. She could juggle.

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

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

This was a person. She overtipped.

This was a person. She made pie.

This was a person. She had a lot of music on vinyl. She was a cat person.

This was a person. He had a podcast.

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

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

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

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

This was a person. She was lactose intolerant.

This was a person. He made pie.

This was a person. He was left-handed. He plays fantasy football.

This was a person. He went to the horseraces.

This was a person. She was an expert barbecuer.

This was a person. She lived on breakfast bars.

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

This was a person. She has two living parents.

This was a person. She chewed nicotine gum. She helped the widow next door.

This was a person. He occasionally shop lifted.

This was a person. He was a glassblower.

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

This was a person. She overtipped. She picked up litter.

This was a person. She loved James Bond movies. She taught guitar.

This was a person. He was the unofficial relationship guru among his friends.

This was a person. She played chess.

This was a person. He loved cigarettes.

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

This was a person. She was a virgin. She was learning to use CAD software.

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

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

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. She was kind of an awesome lover.

This was a person. He was an expert barbecuer. He had a tiny wine collection.

This was a person. He was a mason.

This was a person. He had bonsai trees.

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

This was a person. He was a drunk.

This was a person. She ate the food at convenience stores. She had just paid a crapload of money to get her teeth fixed.

This was a person. He was allergic to peanuts.

This was a person. She can't watch the end of T2 without crying She did not sleep with a pillow.

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

This was a person. He occasionally shop lifted.

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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