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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  only ever had sex with one person. This was a person. He ate the food at convenience stores. This was a person. She did not sleep with a pillow. She took a lot of photos. This was a person. He loved wine. This was a person. She was a secret Buddahist. She wanted to learn magic. This was a person. She once robbed a bank. This was a person. He knew how to get free satelittle television. This was a person. She can't watch the end of T2 without crying This was a person. She just had the bandages removed from  plastic surgery. This was a person. She  was a plumber. This was a person. He  was playing nine games of Words with Friends on  his  phone. He made  his  own beer and was kind of stingy with it. This was a person. He made  his  own beer and was kind of stingy with it. This was a person. He was a wedding photographer. This was a person. She prefered bread without crusts. This was a person. She just had  her car stereo repaired. This was a person. He had a bunch of tattoos. He loved Elvis. This was a person. She had a podcast. She could play harmonica. This was a person. She kept to herself mostly She was polite to salesmen. This was a person. She took a lot of photos. This was a person. She had an awesome home theatre. This was a person. He  played soccer every weekend. This was a person. He wore a lot of hats.  This was a person. He loved pot. He tutored kids. This was a person. He  was learning to speak French. This was a person. She never raised  hervoice. She lived on breakfast bars. This was a person. He always brought lunch. This was a person. She played chess. She excelled at woodworking. This was a person. She was kind of addicted to ebay. This was a person. She plays fantasy football. This was a person. She was a secret Buddahist. This was a person. She was a crossword whiz. This was a person. She  was a DJ. This was a person. She was kind of addicted to ebay. This was a person. He was lactose intolerant. This was a person. He was a skilled woodcarver. This was a person. She taught guitar. She was a wedding photographer. This was a person. She has four overdue books.  She had a sexy phone voice. This was a person. He played a lot of social card games.  He smoked pot at music festivals. This was a person. She spends a lot of time watching tennis. This was a person. She did not sleep with a pillow. This was a person. He always had gum. This was a person. She was a dog person. This was a person. She always brought lunch. This was a person. She loved fine dining. This was a person. He wanted to learn magic. This was a person. He  went to church. This was a person. He ate a lot of chinese food. This was a person. He  only ever had sex with one person. This was a person. She was an awful driver. This was a person. He sang at parties. This was a person. She grew up on a farm.  This was a person. He lived on breakfast bars. He ate a lot of fiber. This was a person. He excelled at woodworking. He fed the birds. This was a person. She was working  her  way through all of the shows on Netflix. She watched a lot of sports on TV, but never played them  herself. This was a person. He played World of Warcraft This was a person. She loved to fish. This was a person. He was divorced. This was a person. He had an unfortunate nickname. This was a person. She ate the food at convenience stores. This was a person. She was working  her  way through all of the shows on Netflix. This was a person. He just had the bandages removed from  plastic surgery. This was a person. He was a cheapskate. He abused cars. This was a person. He always had gum. This was a person. He always made the mashed potatoes at family get-togethers. This was a person. She was rough and tumble. This was a person. He  was playing nine games of Words with Friends on  his  phone. This was a person. He had a lot of shoes. He was balding. This was a person. He played piano. He was a glassblower. This was a person. She  was a translator. This was a person. She led the choir. This was a person. He sang. He tutored kids. This was a person. She loved fine dining. She made scrapbooks. This was a person. He loved wine. This was a person. He never raised  hisvoice. He was a vegetarian. This was a person. He helped people. This was a person. He was afraid of the water. This was a person. He always brought lunch. He never ate breakfast. This was a person. She has a suit at the cleaners. She watched a lot of sports on TV, but never played them  herself. This was a person. He had an unfortunate nickname. He loved fine dining. This was a person. He wore a lot of jewelry. This was a person. She abused cars. This was a person. She  was a mason. This was a person. She  was training to run a marathon. This was a person. She had a sexy phone voice. This was a person. She wore bow ties. This was a person. She loved oreos. This was a person. He was divorced. This was a person. He  was learning to use CAD software. This was a person. She could fall asleep anywhere. This was a person. She prefered bread without crusts. She loved cigarettes. This was a person. He never raised  hisvoice. This was a person. He was working  his  way through all of the shows on Netflix. This was a person. He had a bunch of cameras. He could play trumpet. This was a person. She was always in a hurry. This was a person. She  did open mike. This was a person. She had bonsai trees. This was a person. She was the unofficial relationship guru among   friends. This was a person. She slept around. She led the choir. This was a person. She  had VD. This was a person. He  was a plumber. This was a person. He constantly wore sunglasses. 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. He never carried cash. He was a secret Buddahist. This was a person. She  was sleeping with  her  ex. She  was a historian. This was a person. She was sporty. This was a person. She watched a lot of sports on TV, but never played them  herself. She lived on breakfast bars. This was a person. She prefered bread without crusts. This was a person. She always wore a hat. She was rough and tumble. This was a person. She was a cat person. This was a person. He once robbed a bank. He had a tiny wine collection. This was a person. He wore a lot of jewelry. This was a person. She had braces on  her  teeth. She was thrifty. This was a person. He never drank coffee. This was a person. She wore a lot of jewelry. This was a person. He was a secret Buddahist. He was homophobic. This was a person. He was a good dancer. This was a person. She slept around. This was a person. She could play trumpet. This was a person. She helped people. This was a person. She just had  her car stereo repaired. This was a person. She taught guitar. She chewed gum constantly. This was a person. She was an expert barbecuer. This was a person. She never drank coffee. This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. This was a person. He had extensions. This was a person. She helped people. This was a person. He could fall asleep anywhere. This was a person. She was homophobic. This was a person. He chewed nicotine gum. He smoked pot at music festivals.

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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