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 was rebuilding an engine.

This was a person. He got a terrible haircut a few days ago and shaved his head to escape from it. He loved to make out.

This was a person. She wore bow ties. She loved museums.

This was a person. She snored.

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

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

This was a person. He was a cheapskate.

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

This was a person. He kept to himself mostly

This was a person. He was a teacher. He was working his way through all of the shows on Netflix.

This was a person. He was left-handed.

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

This was a person. She was a dog person. She was a vegetarian.

This was a person. She went to church.

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 spends a lot of time watching tennis.

This was a person. He has four overdue books. He was obsessed with sitcoms.

This was a person. She was a good dancer. She was cockeyed.

This was a person. She was a cheapskate.

This was a person. She loved cigarettes.

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 plays fantasy football.

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

This was a person. He loved fine dining. He plays fantasy football.

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

This was a person. She was rebuilding an engine. She couldn't grow a mustache.

This was a person. She always had gum.

This was a person. He knew how to get free satelittle television. He was convinced he was color blind.

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

This was a person. She chewed nicotine gum.

This was a person. He always made the mashed potatoes at family get-togethers.

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

This was a person. She was a cat person.

This was a person. He could play trumpet.

This was a person. He was lactose intolerant.

This was a person. She wore Spandex.

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

This was a person. She was a historian.

This was a person. She could play cricket.

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

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

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

This was a person. She wore a lot of hats. She plays fantasy football.

This was a person. He called in sick to work 9 times last month and was written up at work. He got a terrible haircut a few days ago and shaved his head to escape from it.

This was a person. She was a Mac evangelist.

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

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

This was a person. She never drank coffee.

This was a person. He never raised hisvoice.

This was a person. She was a Mac evangelist.

This was a person. She didn't have a family. She was learning to speak French.

This was a person. He always brought lunch.

This was a person. She has two living parents.

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

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

This was a person. She was an awful driver. She had a gun.

This was a person. He was afraid of heights.

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

This was a person. She was good to people. She never answered the phone.

This was a person. He was polite to salesmen. He was very careful about conserving gasoline.

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

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

This was a person. She abused cars.

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

This was a person. She was a street vendor.

This was a person. He picked up litter.

This was a person. She wore bow ties.

This was a person. He was a trivia master.

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

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

This was a person. She was an awful driver.

This was a person. He picked up litter.

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

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

This was a person. She loved nachos.

This was a person. He could play harmonica.

This was a person. He was a Mac evangelist.

This was a person. He played soccer every weekend. He had an awesome home theatre.

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

This was a person. She chewed gum constantly. She loved pot.

This was a person. He abused cars.

This was a person. He tutored kids.

This was a person. She was lactose intolerant.

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

This was a person. She was homophobic.

This was a person. He was a poet.

This was a person. She did open mike.

This was a person. She was very careful about conserving gasoline.

This was a person. She snored.

This was a person. He loved pot.

This was a person. She always brought lunch.

This was a person. She had bonsai trees.

This was a person. He was an expert barbecuer.

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

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

This was a person. She loved chocolate.

This was a person. He was polite to telemarketers.

This was a person. She was good at job interviews. She ate a lot of raisins.

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

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

This was a person. She was rebuilding an engine.

This was a person. She loved to fish.

This was a person. He had a hangover yesterday. He had a personal injury lawsuit working its way through the courts.

This was a person. She played chess.

This was a person. She always had a clean car. She never finished the book club book.

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

This was a person. He was a translator.

This was a person. He was a dog person.

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

This was a person. She was lactose intolerant.

This was a person. She played piano.

This was a person. He could juggle.

This was a person. She played World of Warcraft

This was a person. He was homophobic.

This was a person. She ate the food at convenience stores. She spent a lot of time with old people.

This was a person. He always made the mashed potatoes at family get-togethers.

This was a person. She played piano.

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

This was a person. She once robbed a bank.

This was a person. She was a cheapskate. She occasionally shop lifted.

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

This was a person. She was cockeyed.

This was a person. He was lactose intolerant.

This was a person. He occasionally shop lifted. He was balding.

This was a person. He loved pot.

This was a person. She occasionally shop lifted.

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

This was a person. He was afraid of heights. He could fix anything.

This was a person. He chewed gum constantly.

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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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