Kfar Etzion Massacre Tragedy Casualties Visualization Tool - Cockeyed.com

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Disaster Casualties Visualization Tool: Kfar Etzion Massacre: 1948

129 Dead Men and Women

The Kfar Etzion massacre was a massacre of 129 Jews by the Arab Legion on May 13, 1948, the day before the Israeli Declaration of Independence.

This was a person. He made pie.

This was a person. He once robbed a bank.

This was a person. He was thrifty. He was lactose intolerant.

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

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

This was a person. She was 4 days sober.

This was a person. She was 4 days sober.

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

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

This was a person. He led the choir. He was obsessed with sitcoms.

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

This was a person. He was a trivia master.

This was a person. She had a gun.

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

This was a person. He was a cat person.

This was a person. He was a drunk. He loved James Bond movies.

This was a person. He was a skilled woodcarver.

This was a person. She loved to fish. She made pie.

This was a person. He talked during movies.

This was a person. He could always get tickets.

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

This was a person. She did open mike.

This was a person. He was lactose 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. She could juggle.

This was a person. She had a podcast. She prefered bread without crusts.

This was a person. He was afraid of flying. He had VD.

This was a person. He was afraid of heights.

This was a person. She played World of Warcraft She helped strangers.

This was a person. He didn't have a family. He was sleeping with his ex.

This was a person. He ate a lot of chinese food.

This was a person. He was a plumber.

This was a person. She had tropical fish.

This was a person. She wore earphones all the time.

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

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

This was a person. He was learning to use CAD software.

This was a person. He loved chocolate. He wore a lot of hats.

This was a person. He was an awful driver.

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

This was a person. She was afraid of heights.

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

This was a person. He ate a lot of chinese food.

This was a person. He did open mike.

This was a person. He loved cigarettes.

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

This was a person. She loved oreos.

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

This was a person. He had an unfortunate nickname.

This was a person. He had extensions.

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

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

This was a person. He was a drunk.

This was a person. She had a bunch of tattoos. She did not sleep with a pillow.

This was a person. She was good to people.

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

This was a person. He lived on breakfast bars.

This was a person. He was a historian.

This was a person. He was polite to salesmen.

This was a person. He was a DJ.

This was a person. He loved to make out.

This was a person. He was a glassblower.

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

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

This was a person. She snored.

This was a person. He was a skilled woodcarver.

This was a person. He was a street vendor. He never carried cash.

This was a person. He was a mason. He could fix anything.

This was a person. She chewed nicotine gum. She loved rollerblading.

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

This was a person. She can't watch the end of T2 without crying She had a gun.

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

This was a person. She could play trumpet.

This was a person. She did open mike. She had a gun.

This was a person. She had a lot of Beatles records. She constantly wore sunglasses.

This was a person. He kept buying vegetables, even though they always just went bad in his fridge. He was working his way through all of the shows on Netflix.

This was a person. She went to church.

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

This was a person. He was a skilled woodcarver.

This was a person. He kept to himself mostly

This was a person. She had tropical fish. She was a vegetarian.

This was a person. He scalped tickets

This was a person. She tutored kids.

This was a person. He was a dog person.

This was a person. He looked like a cartoon.

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

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

This was a person. She led the choir.

This was a person. He could always get tickets.

This was a person. He did not own a fridge. He wore a lot of hats.

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

This was a person. She was a vegetarian.

This was a person. She had a baby boy.

This was a person. She was a glassblower. She loved wine.

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

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

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

This was a person. She was an awful driver.

This was a person. He chewed nicotine gum. He loved museums.

This was a person. She lived on breakfast bars. She ate a lot of hot dogs.

This was a person. She had a gun.

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

This was a person. He never raised hisvoice.

This was a person. She talked during movies.

This was a person. She was a poet. She was a trivia master.

This was a person. He could fall asleep anywhere.

This was a person. She played World of Warcraft

This was a person. He scalped tickets

This was a person. She has two living parents.

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

This was a person. She was an awful driver.

This was a person. She had VD.

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

This was a person. She was homophobic.

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

This was a person. She was thrifty.

This was a person. She taught guitar.

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

This was a person. He was a wedding photographer.

This was a person. She loved chocolate.

This was a person. He loved wine.

This was a person. She never ate breakfast.

This was a person. He had a hangover yesterday. He loved to make out.

This was a person. She had a podcast.

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

This was a person. He was good to people.

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

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

This was a person. She wrote for the newspaper.

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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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