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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. She  was afraid of flying. This was a person. He looked like a cartoon. This was a person. She threw a lot of parties. This was a person. She was a crossword whiz. She was an awful driver. This was a person. She was the richest of  her friends. This was a person. He got thrown off of a golf course. He spent a lot of time with old people. This was a person. He was a secret Buddahist. This was a person. He helped people. This was a person. She  was learning to speak French. This was a person. He survived cancer. This was a person. He  was a poet. He just had  his car stereo repaired. This was a person. He never drank coffee. He loved chocolate. This was a person. She watched a lot of sports on TV, but never played them  herself. She was a vegetarian. This was a person. He loved oreos. This was a person. He  was a street vendor. This was a person. He had extensions. This was a person. She ate a lot of fish. This was a person. He wrote for the newspaper. He could juggle. This was a person. He chewed gum constantly. This was a person. She had extensions. This was a person. She excelled at woodworking. She couldn't stand having the air-conditioner blow on   herself . This was a person. She loved James Bond movies. This was a person. She always made the mashed potatoes at family get-togethers. This was a person. She was rebuilding an engine. This was a person. She has a suit at the cleaners. She did not sleep with a pillow. This was a person. She loved pot. She was very careful about conserving gasoline. This was a person. She had an awesome home theatre. She made pie. This was a person. She was kind of addicted to ebay. She watched a lot of sports on TV, but never played them  herself. This was a person. She did not own a fridge. This was a person. He was a dog person. This was a person. He was kind of addicted to ebay. He had an awesome home theatre. This was a person. She had a twin. She  was a translator. This was a person. She loved James Bond movies. This was a person. He abused cars. This was a person. He had tropical fish. This was a person. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. This was a person. He once robbed a bank. This was a person. He  went to church. This was a person. He was living with his sister. This was a person. She knew a lot of cops. This was a person. She  collected figurines. This was a person. He  was training to run a marathon. This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. This was a person. She  always bought flowers for  her  desk. This was a person. He had an awesome home theatre. This was a person. He had an awesome home theatre. This was a person. He  was awaiting judgement for a DUI last month. He  was playing nine games of Words with Friends on  his  phone. This was a person. She just had the bandages removed from  plastic surgery. This was a person. She was polite to salesmen. This was a person. He always wore a hat. This was a person. She  kept buying vegetables, even though they always just went bad in  her fridge. This was a person. She  was playing nine games of Words with Friends on  her  phone. She  was a translator. This was a person. He was afraid of heights. This was a person. She was a crossword whiz. This was a person. He ate a lot of chinese food. He loved chocolate. This was a person. He had a podcast. This was a person. He was always in a hurry. This was a person. He looked like a cartoon. He was left-handed. This was a person. She was good at job interviews. This was a person. She was allergic to peanuts. She loved pot. This was a person. She loved pot. She was very careful about conserving gasoline. This was a person. She played a lot of social card games.  This was a person. She could fall asleep anywhere. She wrote for the newspaper. This was a person. She was lactose intolerant. She could play harmonica. This was a person. He  was playing nine games of Words with Friends on  his  phone. This was a person. He  finished reading all of the works of Homer. This was a person. She chewed gum constantly. This was a person. She had a bunch of tattoos. She was a Mac evangelist. This was a person. She  was kind of an awesome lover. This was a person. She wore bow ties. She couldn't swim. This was a person. She played chess. She was balding. This was a person. She was afraid of the water. She had a lot of music on vinyl. This was a person. She didn't get along with animals. This was a person. She ate a lot of chinese food. She grew up on a farm.  This was a person. She had a baby boy. This was a person. She had bonsai trees. This was a person. She helped strangers. She fixed bikes. This was a person. He was the unofficial relationship guru among   friends. This was a person. He lived on breakfast bars. This was a person. He  was sleeping with  his  ex. This was a person. He prefered bread without crusts. This was a person. She had a lot of music on vinyl. She was a glassblower. This was a person. He  was a tailor. He wore a lot of jewelry. This was a person. She looked like a cartoon. This was a person. She ate a lot of fiber. This was a person. She ate a lot of fish. This was a person. He was divorced. This was a person. She  went to church. This was a person. She  was a tailor. This was a person. She  was learning to use CAD software. This was a person. She made pie. This was a person. She spends a lot of time watching tennis. This was a person. He survived cancer. This was a person. He  loved to make out. This was a person. She loved wine. This was a person. He knew a lot of cops. This was a person. He didn't have a family. He  only ever had sex with one person. This was a person. She was 4 days sober. This was a person. She did not own a fridge. She overtipped. This was a person. He was lactose intolerant. He could play harmonica. This was a person. He  was a drunk. He wore a lot of jewelry. This was a person. She had tropical fish. This was a person. She was kind of addicted to ebay. This was a person. She had a green thumb. This was a person. She was homophobic. This was a person. She had a gun. She helped people. This was a person. She never drank coffee. She was lactose intolerant. This was a person. He had a bunch of cameras. This was a person. He  was a translator. This was a person. He loved oreos. This was a person. She never finished the book club book. This was a person. He  was learning to use CAD software. This was a person. She wore earphones all the time. This was a person. She had a lot of shoes. This was a person. He was a dog person. This was a person. She always wore a hat. This was a person. He prefered bread without crusts. He always wore a hat. This was a person. He loved wine. This was a person. She had a bunch of cameras. This was a person. She was a Mac evangelist. This was a person. He wore earphones all the time. He always brought lunch. This was a person. He loved cigarettes. This was a person. He always made the mashed potatoes at family get-togethers. He  was training to run a marathon. This was a person. She  had a hangover yesterday. This was a person. She overtipped. This was a person. She did not own a fridge. This was a person. He had a podcast. This was a person. She had a baby boy. This was a person. She  was learning to speak French.

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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