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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 divorced. This was a person. He ate the food at convenience stores. This was a person. He has four overdue books.  This was a person. She got thrown off of a golf course. She spent a lot of time with old people. This was a person. He lived on breakfast bars. This was a person. She had bonsai trees. This was a person. He was very careful about conserving gasoline. This was a person. He  called in sick to work 9 times last month and was written up at work. This was a person. She was a good dancer. This was a person. She was kind of addicted to ebay. This was a person. She always had gum. She had just paid a crapload of money to get    teeth fixed. This was a person. She was polite to salesmen. She always brought reusable bags into the store. This was a person. He could fix anything. He loved to fish. This was a person. She was a hoarder. This was a person. She ate a lot of kale. This was a person. He always brought reusable bags into the store. This was a person. She got out of jail two years ago and never reunited with her family. She  was sort of selfish in bed. This was a person. He had crazy hair colors. He knew how to get free satelittle television. This was a person. He made pie. This was a person. He ate the food at convenience stores. This was a person. She smoked pot at music festivals. This was a person. She loved nachos. She wore Spandex. This was a person. He had a twin. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. This was a person. He went to the horseraces. This was a person. He was very careful about conserving gasoline. This was a person. He chewed nicotine gum. This was a person. He could play harmonica. This was a person. She played piano. This was a person. He was gluten intolerant. This was a person. She has a suit at the cleaners. This was a person. He had extensions. This was a person. He had a podcast. This was a person. He  was a virgin. He  had a personal injury lawsuit working its way through the courts. This was a person. She picked up litter.  This was a person. He  had VD. He  scalped tickets This was a person. He was a trivia master. This was a person. She could play harmonica. She did not own a fridge. This was a person. She  finished reading all of the works of Homer. This was a person. He watched a lot of sports on TV, but never played them  himself. This was a person. She  was learning to use CAD software. This was a person. He just had the bandages removed from  plastic surgery. He was good to people. This was a person. He  had a personal injury lawsuit working its way through the courts. He  was a translator. This was a person. He was a vegetarian. He prefered bread without crusts. This was a person. She played chess. This was a person. She  was a historian. She wore a lot of jewelry. This was a person. He wore bow ties. This was a person. She  was learning to use CAD software. This was a person. He could fall asleep anywhere. This was a person. She ate the food at convenience stores. This was a person. He was a skilled woodcarver. He wanted to learn magic. This was a person. He  was awaiting judgement for a DUI last month. This was a person. She knew how to get free satelittle television. This was a person. He played chess. He played guitar on the streets for money. This was a person. She  was awaiting judgement for a DUI last month. This was a person. He was a skilled woodcarver. This was a person. She went to the horseraces. This was a person. He  could always get tickets. This was a person. She  finished reading all of the works of Homer. She  was a mason. This was a person. He just had the bandages removed from  plastic surgery. This was a person. He always had gum. This was a person. He never raised  hisvoice. This was a person. He  was a DJ. This was a person. She had a lot of shoes. She was convinced he was color blind. This was a person. She prefered bread without crusts. This was a person. She  had a hangover yesterday. This was a person. She never carried cash. This was a person. She had a baby boy. She  had VD. This was a person. He slept around. This was a person. He taught guitar. This was a person. He  was sleeping with  his  ex. This was a person. He had tropical fish. This was a person. She picked up litter.  This was a person. She constantly wore sunglasses. She was thrifty. This was a person. She was a good dancer. She was left-handed. This was a person. He was always in a hurry. He never carried cash. This was a person. She was a secret Buddahist. This was a person. She looked like a cartoon. This was a person. He  loved to make out. This was a person. She always had a clean car. This was a person. She helped strangers. This was a person. He survived cancer. This was a person. She ate a lot of fiber. This was a person. She constantly wore sunglasses. She had a podcast. This was a person. He was left-handed. 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 was very careful about conserving gasoline. This was a person. He was a vegetarian. He could juggle. This was a person. He went to the horseraces. This was a person. He was gluten intolerant. This was a person. He helped strangers. He loved MASH. This was a person. He was polite to salesmen. This was a person. He brought great food to social gatherings. This was a person. She could play banjo. She never finished the book club book. This was a person. She survived cancer. She plays fantasy football. This was a person. He  was a plumber. He  went to church. This was a person. She went to the horseraces. She abused cars. This was a person. He was lactose intolerant. He loved chocolate. This was a person. He helped people. This was a person. He chewed nicotine gum. He was a loner. This was a person. She could fix anything. This was a person. He was a dog person. This was a person. She was an awful driver. This was a person. He had braces on  his  teeth. He had a lot of Beatles records. This was a person. He was very careful about conserving gasoline. He played a lot of social card games.  This was a person. He  was sleeping with  his  ex. He made  his  own beer and was kind of stingy with it. This was a person. He kept to himself mostly He was very careful about conserving gasoline. This was a person. He ate a lot of fiber. This was a person. He had crazy hair colors. He was left-handed. This was a person. He constantly wore sunglasses. This was a person. He  loved to make out. He  scalped tickets This was a person. He couldn't grow a mustache. This was a person. He  was a virgin. This was a person. She got out of jail two years ago and never reunited with her family. She  was afraid of flying. This was a person. She plays fantasy football. This was a person. She  played soccer every weekend. She had an awesome home theatre. This was a person. He  had been having trouble tying  his shoes because  he  pulled a muscle in his abs. He  was a street vendor. This was a person. He loved Elvis. This was a person. He loved nachos. He was left-handed. This was a person. She  kept buying vegetables, even though they always just went bad in  her fridge. This was a person. He made  his  own beer and was kind of stingy with it. This was a person. She was polite to salesmen. She loved chocolate. This was a person. He just had the bandages removed from  plastic surgery. This was a person. He was a vegetarian. This was a person. He had a twin. This was a person. He had just paid a crapload of money to get    teeth fixed. He never answered the phone. This was a person. She was an awful driver. She knew a lot of cops. This was a person. He was an expert barbecuer. This was a person. She  could always get tickets. She wore a lot of jewelry. This was a person. He  volunteered at a middle school, because  he  had a crush on one of the other tutors.

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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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