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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 a virgin. This was a person. She  was a virgin. She  did open mike. This was a person. She has two living parents. She  was awaiting judgement for a DUI last month. This was a person. She  always bought flowers for  her  desk. This was a person. He loved Elvis. This was a person. She  kept buying vegetables, even though they always just went bad in  her fridge. This was a person. She chewed nicotine gum. This was a person. He could play harmonica. This was a person. He  was awaiting judgement for a DUI last month. He  was sort of selfish in bed. This was a person. He was an awful driver. He never raised  hisvoice. This was a person. She had just paid a crapload of money to get    teeth fixed. This was a person. He was living with his sister. This was a person. He played World of Warcraft He helped strangers. This was a person. He can't watch the end of T2 without crying This was a person. She survived cancer. She had a green thumb. This was a person. She chewed nicotine gum. 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 grew up on a farm.  This was a person. She spends a lot of time watching tennis. This was a person. He overtipped. He spends a lot of time watching tennis. This was a person. She  was a tailor. This was a person. She loved pot. This was a person. She talked during movies. This was a person. He looked like a cartoon. This was a person. She wanted to learn magic. This was a person. She has a suit at the cleaners. This was a person. She didn't get along with animals. This was a person. He had just paid a crapload of money to get    teeth fixed. This was a person. He slept around. He had just paid a crapload of money to get    teeth fixed. This was a person. She always had gum. She abused cars. This was a person. He was very careful about conserving gasoline. This was a person. He had a lot of Beatles records. This was a person. She has two living parents. She  got a terrible haircut a few days ago and shaved  her  head to escape from it. This was a person. She tutored kids. She picked up litter.  This was a person. He played chess. This was a person. He was the richest of  his friends. This was a person. He could juggle. He was very good at cleaning. This was a person. He was allergic to peanuts. This was a person. She was 4 days sober. This was a person. He  was learning to speak French. This was a person. She  was kind of an awesome lover. This was a person. He was always in a hurry. This was a person. He was polite to salesmen. This was a person. She was lactose intolerant. This was a person. She  was afraid of flying. This was a person. He had a lot of Beatles records. This was a person. He picked up litter.  This was a person. She  was a historian. This was a person. She was gluten intolerant. This was a person. She had extensions. She has four overdue books.  This was a person. He  loved to make out. This was a person. She sang. This was a person. He grew up on a farm.  This was a person. She had bonsai trees. This was a person. He always brought lunch. He could play trumpet. This was a person. She slept around. She plays fantasy football. This was a person. He ate a lot of raisins. He wore Spandex. This was a person. He made scrapbooks. This was a person. She was good at job interviews. This was a person. He had braces on  his  teeth. This was a person. She could play harmonica. This was a person. He  called in sick to work 9 times last month and was written up at work. This was a person. He couldn't grow a mustache. He made pie. This was a person. She knew how to get free satelittle television. This was a person. He could play harmonica. This was a person. She had a sexy phone voice. This was a person. She had a podcast. This was a person. He was rebuilding an engine. This was a person. He was cockeyed. This was a person. She once robbed a bank. She was obsessed with sitcoms. This was a person. He was a trivia master. He was afraid of heights. This was a person. She never carried cash. This was a person. He loved to fish. This was a person. He always wore a hat. This was a person. She loved wine. This was a person. He has two living parents. He  got a terrible haircut a few days ago and shaved  his  head to escape from it. This was a person. She wore earphones all the time. She wrote for the newspaper. This was a person. She led the choir. This was a person. She has two living parents. This was a person. He loved oreos. This was a person. He always wore a hat. This was a person. She loved to fish. This was a person. He wore a lot of jewelry. This was a person. She loved nachos. She looked like a cartoon. This was a person. He  was a DJ. This was a person. She spends a lot of time watching tennis. This was a person. She knew a lot of cops. This was a person. She talked during movies. This was a person. She took careful notes after every meal. This was a person. She got out of jail two years ago and never reunited with her family. She  was awaiting judgement for a DUI last month. This was a person. He didn't have a family. This was a person. He made  his  own beer and was kind of stingy with it. This was a person. She wore Spandex. This was a person. He took careful notes after every meal. He did not sleep with a pillow. This was a person. She got out of jail two years ago and never reunited with her family. This was a person. She had a sexy phone voice. She fed the birds. 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 brought great food to social gatherings. He chewed gum constantly. This was a person. She was a dog person. This was a person. She did not sleep with a pillow. This was a person. She had a bunch of cameras. This was a person. She was a trivia master. This was a person. She always brought reusable bags into the store. This was a person. She loved Elvis. This was a person. She wore a lot of jewelry. She knew a lot of cops. This was a person. He was an awful driver. This was a person. She had a lot of shoes. This was a person. He abused cars. He couldn't stand having the air-conditioner blow on   himself . This was a person. He made scrapbooks. He once robbed a bank. This was a person. She loved Elvis. She took a lot of photos. This was a person. She played piano. She was a dog person. This was a person. He was a wedding photographer. He loved nachos. This was a person. She  could always get tickets. She just had  her car stereo repaired. This was a person. He loved Elvis. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. She  was learning to use CAD software. This was a person. He wore bow ties. He never tried gin. This was a person. He  finished reading all of the works of Homer. This was a person. He excelled at woodworking. This was a person. She always brought reusable bags into the store. She was cockeyed. This was a person. He was very good at cleaning. This was a person. He  was a virgin. This was a person. She made scrapbooks. This was a person. He once robbed a bank. This was a person. He made scrapbooks. This was a person. She sang. She had crazy hair colors. This was a person. He was very good at cleaning. This was a person. He had a sexy phone voice. He loved MASH. This was a person. She  had a hangover yesterday. This was a person. She had a lot of shoes.

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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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