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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 had tropical fish. This was a person. He ate a lot of chinese food. This was a person. She  was training to run a marathon. This was a person. He had tropical fish. This was a person. She  was a drunk. She was working  her  way through all of the shows on Netflix. This was a person. She spends a lot of time watching tennis. This was a person. She grew up on a farm.  This was a person. She threw a lot of parties. This was a person. He picked up litter.  This was a person. She  was sort of selfish in bed. This was a person. He always had a clean car. This was a person. He ate the food at convenience stores. He had a lot of shoes. This was a person. She plays fantasy football. This was a person. She was 4 days sober. She  was a historian. This was a person. She was divorced. This was a person. He  was a virgin. This was a person. He was thrifty. This was a person. She occasionally shop lifted. She fixed bikes. This was a person. She chewed nicotine gum. She was an expert barbecuer. This was a person. She ate a lot of kale. This was a person. He just had  his car stereo repaired. He wore earphones all the time. This was a person. He constantly wore sunglasses. He took a lot of photos. This was a person. He  had VD. He  was a poet. This was a person. She  kept buying vegetables, even though they always just went bad in  her fridge. This was a person. He loved oreos. He snored. This was a person. He  was a translator. This was a person. She was divorced. This was a person. He can't watch the end of T2 without crying This was a person. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. This was a person. He plays fantasy football. He was balding. This was a person. He loved Elvis. This was a person. He loved to fish. He was a vegetarian. This was a person. He played a lot of social card games.  This was a person. She could play banjo. She was very good at cleaning. This was a person. She  was a tailor. This was a person. He can't watch the end of T2 without crying This was a person. He had a twin. He  was a street vendor. This was a person. She wrote for the newspaper. She was lactose intolerant. This was a person. She abused cars. This was a person. He ate a lot of raisins. He never finished the book club book. This was a person. She plays fantasy football. This was a person. He was sporty. This was a person. She helped people. This was a person. He  was a DJ. This was a person. He could play trumpet. He tutored kids. This was a person. She was gluten intolerant. 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 was a cheapskate. She ate the food at convenience stores. This was a person. He  kept buying vegetables, even though they always just went bad in  his fridge. This was a person. He was polite to salesmen. He survived cancer. This was a person. He just had the bandages removed from  plastic surgery. This was a person. She picked up litter.  This was a person. She was sporty. She led the choir. This was a person. He just had the bandages removed from  plastic surgery. This was a person. He had crazy hair colors. This was a person. He took careful notes after every meal. This was a person. He just had  his car stereo repaired. This was a person. He excelled at woodworking. He was convinced he was color blind. This was a person. She couldn't grow a mustache. This was a person. She was cockeyed. This was a person. She didn't have a family. She was 4 days sober. This was a person. He was a skilled woodcarver. This was a person. She was a glassblower. She ate a lot of hot dogs. This was a person. He  had a hangover yesterday. He  was sleeping with  his  ex. This was a person. He loved pot. This was a person. He could play cricket. This was a person. She once robbed a bank. This was a person. She wanted to learn magic. This was a person. He loved James Bond movies. This was a person. She was afraid of heights. She was a Mac evangelist. This was a person. She threw a lot of parties. This was a person. She helped people. This was a person. He got out of jail two years ago and never reunited with his family. This was a person. He could play cricket. He was polite to telemarketers. This was a person. She smoked pot at music festivals. She was a loner. This was a person. He made scrapbooks. This was a person. He couldn't grow a mustache. This was a person. He sang. This was a person. She had a lot of shoes. This was a person. He did not own a fridge. This was a person. He loved Elvis. This was a person. She played World of Warcraft She was balding. This was a person. He always wore a hat. He had an unfortunate nickname. This was a person. He  had a personal injury lawsuit working its way through the courts. This was a person. He  was sleeping with  his  ex. This was a person. He survived cancer. This was a person. She was cockeyed. She occasionally shop lifted. This was a person. He was lactose intolerant. This was a person. She was a wedding photographer. She ate a lot of raisins. This was a person. He wrote for the newspaper. This was a person. She ate a lot of fish. She ate a lot of kale. This was a person. She  was a street vendor. This was a person. He was rebuilding an engine. This was a person. He was a crossword whiz. This was a person. She was allergic to peanuts. This was a person. He wore earphones all the time. This was a person. He had extensions. This was a person. He  was a tailor. He was kind of addicted to ebay. This was a person. She  was a plumber. This was a person. He  was awaiting judgement for a DUI last month. This was a person. He  was a historian. 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 historian. She has a suit at the cleaners. This was a person. She had a podcast. This was a person. He  finished reading all of the works of Homer. This was a person. She spent a lot of time with old people. This was a person. He was a good dancer. This was a person. He wanted to learn magic. This was a person. He played chess. This was a person. He  finished reading all of the works of Homer. This was a person. He was sporty. This was a person. She led the choir. This was a person. She  was sleeping with  her  ex. She  was a mason. This was a person. She spent a lot of time with old people. This was a person. She didn't get along with animals. She chewed nicotine gum. This was a person. She helped people. This was a person. He was polite to telemarketers. He was a hoarder. This was a person. He  collected figurines. This was a person. She was cockeyed. This was a person. She was a good dancer. This was a person. He  did open mike. This was a person. He was rebuilding an engine. This was a person. He  loved to make out. This was a person. She was a good dancer. She always had gum. This was a person. She was the unofficial relationship guru among   friends. This was a person. She was the unofficial relationship guru among   friends. She sang at parties. This was a person. She loved wine. This was a person. He snored. This was a person. He was polite to telemarketers. He survived cancer.

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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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