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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 ate a lot of hot dogs. This was a person. She loved nachos. This was a person. She played World of Warcraft She couldn't stand having the air-conditioner blow on   herself . This was a person. He was living with his sister. This was a person. She ate the food at convenience stores. She was a scout leader.  This was a person. He  loved to make out. He was a crossword whiz. This was a person. He taught guitar. He was gluten intolerant. This was a person. He constantly wore sunglasses. This was a person. She could play cricket. This was a person. She took a lot of photos. She had a bunch of cameras. This was a person. She wore bow ties. This was a person. He kept to himself mostly This was a person. She was left-handed. This was a person. He  was a pharmacist. This was a person. She could juggle. She ate a lot of chinese food. This was a person. She was gluten intolerant. This was a person. She talked during movies. This was a person. He occasionally shop lifted. This was a person. She excelled at woodworking. She could never remember to bring  reusable bags in to the grocery store. This was a person. He wrote for the newspaper. This was a person. She threw a lot of parties. This was a person. He made  his  own beer and was kind of stingy with it. This was a person. He was polite to salesmen. This was a person. He helped people. 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 was a crossword whiz. This was a person. He couldn't grow a mustache. This was a person. He loved to fish. He was a dog person. This was a person. She had crazy hair colors. This was a person. He played piano. This was a person. He didn't have a family. He  volunteered at a middle school, because  he  had a crush on one of the other tutors. This was a person. She made pie. This was a person. He wore a lot of jewelry. This was a person. He helped people. This was a person. He didn't get along with animals. This was a person. He overtipped. This was a person. He had a baby boy. This was a person. He could juggle. He ate a lot of fiber. This was a person. She played chess. This was a person. He  was training to run a marathon. This was a person. He constantly wore sunglasses. He snored. This was a person. She wore a lot of jewelry. This was a person. He played World of Warcraft This was a person. She went to the horseraces. She picked up litter.  This was a person. He knew how to get free satelittle television. This was a person. She had tropical fish. This was a person. He  did open mike. This was a person. He  was a translator. This was a person. He was working  his  way through all of the shows on Netflix. He wore earphones all the time. This was a person. He  collected figurines. He  was a translator. This was a person. He  had been having trouble tying  his shoes because  he  pulled a muscle in his abs. This was a person. He was kind of addicted to ebay. This was a person. He  only ever had sex with one person. This was a person. She was rebuilding an engine. This was a person. She  volunteered at a middle school, because  she  had a crush on one of the other tutors. This was a person. She  was a translator. This was a person. He was sporty. He plays fantasy football. This was a person. He  was a DJ. He was rebuilding an engine. This was a person. She went to the horseraces. This was a person. He  was a plumber. He was kind of addicted to ebay. This was a person. He  was a plumber. This was a person. He kept to himself mostly This was a person. She didn't get along with animals. This was a person. He was a dog person. He brought great food to social gatherings. This was a person. She took a lot of photos. She never drank coffee. This was a person. She spent a lot of time with old people. She had a sailboat as a teen. This was a person. He  collected figurines. This was a person. She had a bunch of cameras. She loved cigarettes. This was a person. She was a scout leader.  She chewed nicotine gum. This was a person. She had just paid a crapload of money to get    teeth fixed. This was a person. She  scalped tickets This was a person. He abused cars. This was a person. He abused cars. This was a person. He had a green thumb. This was a person. She  was a pharmacist. This was a person. He  played soccer every weekend. He had a gun. This was a person. She could juggle. She had long fingernails. This was a person. She  did open mike. She was kind of addicted to ebay. This was a person. He chewed gum constantly. This was a person. He grew up on a farm.  This was a person. She had a green thumb. This was a person. He was kind of addicted to ebay. This was a person. He has four overdue books.  This was a person. She  was sleeping with  her  ex. This was a person. He had bonsai trees. This was a person. She ate the food at convenience stores. This was a person. He slept around. He picked up litter.  This was a person. He played piano. He always brought lunch. This was a person. She went to the horseraces. This was a person. She  had a personal injury lawsuit working its way through the courts. This was a person. He loved pot. He had extensions. This was a person. She just had  her car stereo repaired. She couldn't grow a mustache. This was a person. He was a secret Buddahist. He threw a lot of parties. This was a person. She took a lot of photos. She was lactose intolerant. This was a person. He  was awaiting judgement for a DUI last month. This was a person. He had a bunch of tattoos. He was a skilled woodcarver. This was a person. She can't watch the end of T2 without crying This was a person. She ate a lot of raisins. This was a person. She was the richest of  her friends. She was thrifty. This was a person. He was rebuilding an engine. This was a person. She was a wedding photographer. This was a person. He took a lot of photos. This was a person. She had a bunch of tattoos. This was a person. He was a cheapskate. This was a person. He never drank coffee. He loved pot. This was a person. She had a lot of shoes. This was a person. He was good to people. This was a person. He wore Spandex. This was a person. He loved James Bond movies. This was a person. She was a vegetarian. This was a person. He  had a hangover yesterday. This was a person. She had a gun. This was a person. She got thrown off of a golf course. This was a person. She was always in a hurry. She could fall asleep anywhere. This was a person. He was the richest of  his friends. This was a person. She got out of jail two years ago and never reunited with her family. She  was playing nine games of Words with Friends on  her  phone. This was a person. He ate a lot of fish. This was a person. She picked up litter.  This was a person. She had a gun. This was a person. She was a good dancer. She went to the horseraces. This was a person. She was afraid of heights. She wore a lot of jewelry. This was a person. He excelled at woodworking. This was a person. He snored. This was a person. He  was learning to speak French. He  was learning to use CAD software. This was a person. She was afraid of the water. This was a person. He had just paid a crapload of money to get    teeth fixed. He helped the widow next door. This was a person. She  collected figurines. She  was a teacher. This was a person. She was good at job interviews. This was a person. He had an unfortunate nickname. He played World of Warcraft

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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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