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 threw a lot of parties.

This was a person. She was a teacher.

This was a person. She had braces on her teeth.

This was a person. He loved James Bond movies. He talked during movies.

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

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

This was a person. She made pie.

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

This was a person. He was a drunk. He wore earphones all the time.

This was a person. He occasionally shop lifted.

This was a person. She was the richest of her friends.

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 was good at job interviews.

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

This was a person. He loved wine. He looked like a cartoon.

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

This was a person. She always had gum.

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

This was a person. He was left-handed.

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

This was a person. He was sleeping with his ex.

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

This was a person. She helped strangers. She couldn't swim.

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

This was a person. He lived on breakfast bars. He ate a lot of raisins.

This was a person. He was a plumber.

This was a person. She always brought lunch.

This was a person. She picked up litter.

This was a person. She got thrown off of a golf course.

This was a person. He was an awful driver. He never carried cash.

This was a person. He wore Spandex. He grew up on a farm.

This was a person. She had long fingernails.

This was a person. He had extensions.

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

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

This was a person. She had a twin.

This was a person. She was training to run a marathon. She was learning to speak French.

This was a person. She could play harmonica.

This was a person. She constantly wore sunglasses. She had a podcast.

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

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

This was a person. She was allergic to peanuts.

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

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

This was a person. He was a wedding photographer.

This was a person. He was a Mac evangelist.

This was a person. She could play trumpet. She was very careful about conserving gasoline.

This was a person. He loved James Bond movies.

This was a person. He had an unfortunate nickname. He was a scout leader.

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

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

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

This was a person. She helped strangers.

This was a person. She had extensions. She loved fine dining.

This was a person. She had a gun. She loved to fish.

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

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

This was a person. He was good at job interviews. He did not own a fridge.

This was a person. He played piano.

This was a person. She was living with her sister. She was afraid of flying.

This was a person. She wanted to learn magic.

This was a person. He wore earphones all the time. He had a lot of music on vinyl.

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

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

This was a person. She was cockeyed.

This was a person. She never raised hervoice.

This was a person. She was sporty.

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

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

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

This was a person. She loved chocolate.

This was a person. He was lactose intolerant. He ate a lot of hot dogs.

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

This was a person. She could play banjo. She tutored kids.

This was a person. He lived on breakfast bars.

This was a person. He had a gun.

This was a person. He went to church.

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

This was a person. He loved to fish.

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

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

This was a person. He loved to fish.

This was a person. He chewed gum constantly.

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

This was a person. He spent a lot of time with old people. He helped the widow next door.

This was a person. She never ate breakfast.

This was a person. He had a twin.

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

This was a person. She was a translator.

This was a person. She picked up litter. She excelled at woodworking.

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

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

This was a person. He was a good dancer.

This was a person. She helped people.

This was a person. He collected figurines.

This was a person. She was gluten intolerant.

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 was a glassblower.

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 was polite to telemarketers.

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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