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 chewed gum constantly.

This was a person. She loved chocolate. She had crazy hair colors.

This was a person. She occasionally shop lifted. She was really good at geography.

This was a person. He had long fingernails.

This was a person. He was a virgin.

This was a person. He played World of Warcraft

This was a person. He was a secret Buddahist. He ate a lot of fish.

This was a person. She abused cars.

This was a person. He had a baby boy.

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

This was a person. She abused cars.

This was a person. He was good to people.

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

This was a person. He was a drunk.

This was a person. She was a Mac evangelist.

This was a person. She was lactose intolerant.

This was a person. She only ever had sex with one person.

This was a person. She was thrifty. She never ate breakfast.

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

This was a person. She helped people. She never drank coffee.

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

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

This was a person. She was 4 days sober.

This was a person. She was rough and tumble.

This was a person. She loved wine. She grew up on a farm.

This was a person. He helped strangers. He played guitar on the streets for money.

This was a person. She could fall asleep anywhere.

This was a person. He loved pot.

This was a person. She occasionally shop lifted. She never answered the phone.

This was a person. He loved Elvis.

This was a person. She was a historian.

This was a person. He had extensions. He overtipped.

This was a person. She prefered bread without crusts.

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

This was a person. He was an expert barbecuer.

This was a person. He was thrifty.

This was a person. She had VD.

This was a person. He wrote for the newspaper.

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

This was a person. She made pie.

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

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

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

This was a person. She was a cat person. She never ate breakfast.

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

This was a person. He has two living parents. He was training to run a marathon.

This was a person. He tutored kids.

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 scalped tickets He was an awful driver.

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

This was a person. She slept around.

This was a person. He played soccer every weekend.

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

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

This was a person. He wore bow ties.

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

This was a person. He played soccer every weekend. He couldn't grow a mustache.

This was a person. She was living with her sister.

This was a person. She was a scout leader.

This was a person. She had an awesome home theatre. She did not sleep with a pillow.

This was a person. He survived cancer.

This was a person. He wore Spandex.

This was a person. She had been having trouble tying her shoes because she pulled a muscle in her abs.

This was a person. He went to the horseraces.

This was a person. He was good to people.

This was a person. She went to church.

This was a person. He was a dog person.

This was a person. He could always get tickets. He never carried cash.

This was a person. She was lactose intolerant. She loved chocolate.

This was a person. He talked during movies.

This was a person. He had tropical fish.

This was a person. He loved pot.

This was a person. She tutored kids.

This was a person. He was homophobic. He ate a lot of raisins.

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

This was a person. She was divorced.

This was a person. She had a personal injury lawsuit working its way through the courts.

This was a person. She taught guitar. She was divorced.

This was a person. She was the unofficial relationship guru among friends.

This was a person. He was cockeyed.

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

This was a person. She never raised hervoice. She had a podcast.

This was a person. He was a drunk.

This was a person. He wore Spandex.

This was a person. He was left-handed.

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

This was a person. He kept to himself mostly

This was a person. She played piano.

This was a person. She loved wine.

This was a person. She was a wedding photographer.

This was a person. She played World of Warcraft

This was a person. He was cockeyed.

This was a person. He was a trivia master.

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

This was a person. He was lactose intolerant.

This was a person. He talked during movies. He never raised hisvoice.

This was a person. He was gluten intolerant.

This was a person. She had a lot of shoes.

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

This was a person. She loved to make out.

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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