Kfar Etzion Massacre Tragedy Casualties Visualization Tool - Cockeyed.com

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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 spends a lot of time watching tennis.

This was a person. He loved to make out.

This was a person. He never ate breakfast.

This was a person. He always brought reusable bags into the store.

This was a person. He always brought reusable bags into the store.

This was a person. She spent a lot of time with old people.

This was a person. He helped people.

This was a person. He was homophobic. He was lactose intolerant.

This was a person. She had a hangover yesterday.

This was a person. She was training to run a marathon.

This was a person. He went to the horseraces.

This was a person. She ate a lot of fish.

This was a person. He led the choir. He played World of Warcraft

This was a person. She had a gun.

This was a person. He has a suit at the cleaners.

This was a person. She could fall asleep anywhere.

This was a person. He was very careful about conserving gasoline. He tutored kids.

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 knew a lot of cops. He brought great food to social gatherings.

This was a person. She was a virgin.

This was a person. She had a personal injury lawsuit working its way through the courts.

This was a person. He plays fantasy football. He chewed nicotine gum.

This was a person. He occasionally shop lifted.

This was a person. She spends a lot of time watching tennis. She was an expert barbecuer.

This was a person. She had an awesome home theatre. She loved oreos.

This was a person. She loved wine.

This was a person. She was polite to telemarketers.

This was a person. She was a drunk.

This was a person. She was polite to telemarketers.

This was a person. She loved pot.

This was a person. He taught guitar.

This was a person. He was a plumber.

This was a person. He had a hangover yesterday. He was a virgin.

This was a person. He grew up on a farm. He was cockeyed.

This was a person. She was rebuilding an engine.

This was a person. He was a vegetarian.

This was a person. He wore bow ties.

This was a person. She talked during movies.

This was a person. He wore a lot of jewelry.

This was a person. He loved cigarettes.

This was a person. She was learning to use CAD software.

This was a person. She was a trivia master.

This was a person. He was an expert barbecuer.

This was a person. She chewed gum constantly.

This was a person. He was a historian. He had braces on his teeth.

This was a person. She had a gun.

This was a person. She went to the horseraces. She played guitar on the streets for money.

This was a person. She was a pharmacist.

This was a person. She never ate breakfast.

This was a person. She tutored kids.

This was a person. She excelled at woodworking.

This was a person. He overtipped.

This was a person. She was afraid of flying. She had a personal injury lawsuit working its way through the courts.

This was a person. He led the choir. He had a lot of shoes.

This was a person. He ate a lot of fish.

This was a person. He was good to people.

This was a person. She wore bow ties.

This was a person. He was a vegetarian.

This was a person. She collected figurines.

This was a person. He called in sick to work 9 times last month and was written up at work. He was learning to use CAD software.

This was a person. He had bonsai trees. He was lactose intolerant.

This was a person. He made pie.

This was a person. He loved fine dining.

This was a person. He ate a lot of hot dogs.

This was a person. He played piano. He was a dog person.

This was a person. She spent a lot of time with old people.

This was a person. She was a scout leader.

This was a person. She was polite to salesmen.

This was a person. She was afraid of heights.

This was a person. He wrote for the newspaper.

This was a person. She had a sexy phone voice.

This was a person. He did not sleep with a pillow.

This was a person. She lived on breakfast bars. She was polite to telemarketers.

This was a person. She was the richest of her friends. She took a lot of photos.

This was a person. He was a mason.

This was a person. She was a tailor. She wore a lot of jewelry.

This was a person. He was always in a hurry.

This was a person. He chewed gum constantly.

This was a person. She had a green thumb. She was going blind.

This was a person. He ate a lot of kale.

This was a person. He had tropical fish.

This was a person. He taught guitar.

This was a person. She couldn't grow a mustache. She never raised hervoice.

This was a person. He didn't have a family. He was awaiting judgement for a DUI last month.

This was a person. He loved to make out.

This was a person. She was living with her sister.

This was a person. He ate a lot of chinese food.

This was a person. She had crazy hair colors.

This was a person. She spends a lot of time watching tennis.

This was a person. He was allergic to peanuts.

This was a person. He was afraid of flying. He was a poet.

This was a person. She was kind of addicted to ebay.

This was a person. He could play banjo.

This was a person. He kept to himself mostly

This was a person. She sang.

This was a person. He was training to run a marathon. He was a pharmacist.

This was a person. She was a hoarder.

This was a person. She lived on breakfast bars.

This was a person. She was thrifty. She had bonsai trees.

This was a person. She was thrifty.

This was a person. She had a bunch of cameras.

This was a person. He plays fantasy football.

This was a person. He had a green thumb.

This was a person. She has four overdue books.

This was a person. He could always get tickets. He had a gun.

This was a person. He lived on breakfast bars.

This was a person. She was working her way through all of the shows on Netflix.

This was a person. She talked during movies.

This was a person. He taught guitar. He kept to himself mostly

This was a person. She had bonsai trees.

This was a person. He was afraid of flying.

This was a person. He had a twin. He was sort of selfish in bed.

This was a person. She called in sick to work 9 times last month and was written up at work. She was learning to speak French.

This was a person. She never raised hervoice.

This was a person. She played a lot of social card games.

This was a person. He plays fantasy football. He was balding.

This was a person. She knew how to get free satelittle television.

This was a person. She was always in a hurry. She loved Elvis.

This was a person. She was good at job interviews.

This was a person. He was sort of selfish in bed.

This was a person. He wore earphones all the time. He was the richest of his friends.

This was a person. He threw a lot of parties.

This was a person. He was sort of selfish in bed.

This was a person. She helped people. She was homophobic.

This was a person. He was sporty. He got thrown off of a golf course.

This was a person. She was working her way through all of the shows on Netflix.

This was a person. He could fall asleep anywhere.

This was a person. He was a translator. He was a trivia master.

This was a person. She has a suit at the cleaners.

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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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