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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 helped strangers. She had a sailboat as a teen. This was a person. She was working  her  way through all of the shows on Netflix. This was a person. He could play banjo. He did not own a fridge. This was a person. He was the richest of  his friends. This was a person. She had a bunch of cameras. This was a person. He played a lot of social card games.  This was a person. She wore bow ties. She was an expert barbecuer. This was a person. She never drank coffee. This was a person. She was living with her sister. This was a person. She loved oreos. She could play banjo. This was a person. He went to the horseraces. He was an expert barbecuer. This was a person. He tutored kids. This was a person. She always wore a hat. This was a person. He wore a lot of jewelry. This was a person. He  played soccer every weekend. This was a person. She was allergic to peanuts. She did not own a fridge. This was a person. She had tropical fish. She snored. This was a person. He was a skilled woodcarver. He loved oreos. This was a person. He  only ever had sex with one person. This was a person. He  was learning to speak French. This was a person. He loved nachos. He just had the bandages removed from  plastic surgery. This was a person. She never carried cash. She never raised  hervoice. This was a person. He was very good at cleaning. He was sporty. This was a person. He  was a DJ. This was a person. She  was a plumber. This was a person. He was a good dancer. He led the choir. This was a person. He had bonsai trees. This was a person. He was lactose intolerant. This was a person. He was gluten intolerant. This was a person. She made pie. This was a person. She was a skilled woodcarver. This was a person. She was a secret Buddahist. She had bonsai trees. This was a person. He had a green thumb. This was a person. She sang at parties. She had just paid a crapload of money to get    teeth fixed. This was a person. She took careful notes after every meal. This was a person. He has four overdue books.  This was a person. He couldn't grow a mustache. This was a person. She wore a lot of jewelry. This was a person. She kept to herself mostly This was a person. She looked like a cartoon. This was a person. He loved pot. This was a person. He taught guitar. He had bonsai trees. This was a person. He loved chocolate. This was a person. He loved to fish. He was a skilled woodcarver. This was a person. He knew how to get free satelittle television. This was a person. He had an awesome home theatre. This was a person. He loved oreos. He could play cricket. This was a person. She loved to fish. This was a person. She had tropical fish. This was a person. He overtipped. This was a person. He  was a tailor. This was a person. She sang. This was a person. He took a lot of photos. This was a person. She slept around. This was a person. She has a suit at the cleaners. This was a person. He  was awaiting judgement for a DUI last month. This was a person. She ate a lot of hot dogs. This was a person. He played chess. 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. He  played soccer every weekend. This was a person. She  called in sick to work 9 times last month and was written up at work. This was a person. She had crazy hair colors. This was a person. She had a lot of shoes. This was a person. He wore a lot of jewelry. This was a person. He got out of jail two years ago and never reunited with his family. This was a person. She was a cheapskate. This was a person. She  was awaiting judgement for a DUI last month. This was a person. He always had a clean car. This was a person. She was lactose intolerant. She loved wine. This was a person. She  played soccer every weekend. She made  her  own beer and was kind of stingy with it. This was a person. She was rebuilding an engine. This was a person. She was a cat person. She was a glassblower. This was a person. She was a secret Buddahist. This was a person. She loved nachos. This was a person. She has two living parents. This was a person. He ate a lot of chinese food. He looked like a cartoon. This was a person. She plays fantasy football. This was a person. She helped people. This was a person. She loved oreos. This was a person. He  was sleeping with  his  ex. This was a person. She was the richest of  her friends. She threw a lot of parties. This was a person. He occasionally shop lifted. This was a person. She  was a poet. This was a person. She  played soccer every weekend. This was a person. He was good at job interviews. This was a person. He  volunteered at a middle school, because  he  had a crush on one of the other tutors. This was a person. He wanted to learn magic. This was a person. She always had a clean car. She was rough and tumble. This was a person. He always had a clean car. This was a person. She  was a tailor. This was a person. She had a lot of Beatles records. This was a person. She loved oreos. She was a wedding photographer. This was a person. She ate the food at convenience stores. This was a person. She had a baby boy. This was a person. He  was a DJ. This was a person. He was homophobic. This was a person. She was a crossword whiz. She was afraid of the water. This was a person. He  was afraid of flying. This was a person. He  was playing nine games of Words with Friends on  his  phone. He can't watch the end of T2 without crying This was a person. She  had a hangover yesterday. This was a person. She was always in a hurry. This was a person. He has two living parents. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. This was a person. He was good to people. This was a person. She constantly wore sunglasses. This was a person. She took a lot of photos. This was a person. She wore Spandex. This was a person. She was a hoarder. She went to the horseraces. This was a person. He helped strangers. He had a sailboat as a teen. This was a person. She  only ever had sex with one person. 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 didn't get along with animals. This was a person. He was sporty. This was a person. He could play banjo. This was a person. He  was a plumber. He was a trivia master. This was a person. She  loved to make out. She  was a poet. This was a person. He  volunteered at a middle school, because  he  had a crush on one of the other tutors. This was a person. She has two living parents. This was a person. He ate the food at convenience stores. This was a person. She was always in a hurry. She talked during movies. This was a person. He never finished the book club book. This was a person. She had braces on  her  teeth. This was a person. She taught guitar. This was a person. She wore a lot of jewelry. This was a person. He had a twin. He  was a virgin. This was a person. He made scrapbooks. He smoked pot at music festivals. This was a person. She could fix anything. This was a person. She  did open mike. This was a person. She excelled at woodworking. This was a person. She always brought reusable bags into the store. She played a lot of social card games.

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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