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 ate a lot of hot dogs.

This was a person. She was divorced.

This was a person. He could juggle. He was a hoarder.

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

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

This was a person. He had a twin.

This was a person. He loved James Bond movies.

This was a person. He was afraid of flying.

This was a person. She taught guitar.

This was a person. He excelled at woodworking.

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

This was a person. She kept to herself mostly

This was a person. He had extensions.

This was a person. He tutored kids.

This was a person. He played piano.

This was a person. He ate a lot of raisins. He was very careful about conserving gasoline.

This was a person. She was a scout leader.

This was a person. She never drank coffee.

This was a person. He had been having trouble tying his shoes because he pulled a muscle in his abs.

This was a person. She looked like a cartoon.

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

This was a person. She ate a lot of raisins. She was very good at cleaning.

This was a person. He was a teacher.

This was a person. She once robbed a bank. She had a tiny wine collection.

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

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

This was a person. He always brought reusable bags into the store.

This was a person. She brought great food to social gatherings. She had a bunch of cameras.

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

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

This was a person. She volunteered at a middle school, because she had a crush on one of the other tutors. She was a plumber.

This was a person. She once robbed a bank.

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

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

This was a person. He always had gum.

This was a person. She never raised hervoice.

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

This was a person. She chewed nicotine gum.

This was a person. He grew up on a farm. He overtipped.

This was a person. She had a baby boy. She volunteered at a middle school, because she had a crush on one of the other tutors.

This was a person. He always had gum.

This was a person. She knew a lot of cops. She always brought lunch.

This was a person. She had a personal injury lawsuit working its way through the courts. She made her own beer and was kind of stingy with it.

This was a person. He loved nachos. He was very careful about conserving gasoline.

This was a person. She occasionally shop lifted.

This was a person. He collected figurines.

This was a person. She had a twin.

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

This was a person. He sang at parties. He played World of Warcraft

This was a person. She loved wine.

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

This was a person. He was a street vendor.

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

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

This was a person. He was rough and tumble.

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

This was a person. He did open mike.

This was a person. He was a mason.

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

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

This was a person. She helped strangers.

This was a person. She plays fantasy football.

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

This was a person. He made his own beer and was kind of stingy with it.

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

This was a person. She wrote for the newspaper.

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

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

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

This was a person. She loved wine.

This was a person. She abused cars.

This was a person. She ate a lot of hot dogs.

This was a person. She has four overdue books. She was an expert barbecuer.

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

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

This was a person. He had a podcast.

This was a person. He was playing nine games of Words with Friends on his phone. He was a translator.

This was a person. He was a DJ.

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

This was a person. He wanted to learn magic.

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

This was a person. He taught guitar.

This was a person. She taught guitar.

This was a person. He loved fine dining. He played World of Warcraft

This was a person. He could juggle. He loved wine.

This was a person. She was a Mac evangelist.

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

This was a person. She played World of Warcraft

This was a person. She snored.

This was a person. She wore bow ties.

This was a person. He overtipped.

This was a person. He had a baby boy. He was a teacher.

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

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

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

This was a person. He loved wine. He slept around.

This was a person. He made pie.

This was a person. He looked like a cartoon.

This was a person. She kept to herself mostly She did not own a fridge.

This was a person. He looked like a cartoon.

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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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