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. He volunteered at a middle school, because he had a crush on one of the other tutors. He was sleeping with his ex.

This was a person. She wrote for the newspaper.

This was a person. She was afraid of the water.

This was a person. She had a green thumb.

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

This was a person. He abused cars.

This was a person. He played piano.

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

This was a person. She was afraid of flying.

This was a person. He was rebuilding an engine.

This was a person. He was afraid of flying.

This was a person. He sang.

This was a person. He made scrapbooks. He had lice.

This was a person. She could play trumpet.

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

This was a person. He played soccer every weekend.

This was a person. She loved Elvis.

This was a person. He was a street vendor.

This was a person. He talked during movies. He could fall asleep anywhere.

This was a person. She was good to people. She loved MASH.

This was a person. She looked like a cartoon.

This was a person. She was rebuilding an engine.

This was a person. He always wore a hat.

This was a person. He kept to himself mostly

This was a person. He finished reading all of the works of Homer.

This was a person. He knew a lot of cops.

This was a person. He was a good dancer.

This was a person. He was very careful about conserving gasoline. He was rough and tumble.

This was a person. She has four overdue books.

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

This was a person. She was a vegetarian.

This was a person. She abused cars.

This was a person. He was an awful driver.

This was a person. She could juggle.

This was a person. He was afraid of flying.

This was a person. She knew how to get free satelittle television. She spent a lot of time with old people.

This was a person. He was an awful driver. He never carried cash.

This was a person. He was a cat person. He was homophobic.

This was a person. He was a plumber.

This was a person. He was polite to telemarketers.

This was a person. He had just paid a crapload of money to get teeth fixed.

This was a person. He dropped his work laptop last week, destroyed it and couldn't sleep for days.

This was a person. He was gluten intolerant.

This was a person. He was always in a hurry. He wore a lot of jewelry.

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 was a trivia master.

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

This was a person. She had bonsai trees.

This was a person. She always bought flowers for her desk.

This was a person. She played World of Warcraft

This was a person. She was an awful driver.

This was a person. He had a lot of shoes. He fixed bikes.

This was a person. He ate the food at convenience stores.

This was a person. He picked up litter.

This was a person. He sang.

This was a person. He went to the horseraces.

This was a person. He had a podcast.

This was a person. She was good to people.

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

This was a person. She was a crossword whiz.

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

This was a person. He could play cricket.

This was a person. He was left-handed. He was cockeyed.

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

This was a person. She volunteered at a middle school, because she had a crush on one of the other tutors. She was a mason.

This was a person. He scalped tickets

This was a person. He was kind of an awesome lover. He did open mike.

This was a person. He scalped tickets He talked during movies.

This was a person. She overtipped.

This was a person. She went to the horseraces.

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

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

This was a person. She was a hoarder.

This was a person. He watched a lot of sports on TV, but never played them himself. He chewed gum constantly.

This was a person. He was polite to salesmen. He didn't get along with animals.

This was a person. He was a skilled woodcarver. He loved oreos.

This was a person. She once robbed a bank.

This was a person. She smoked pot at music festivals. She loved rollerblading.

This was a person. He had VD.

This was a person. She had crazy hair colors.

This was a person. He could juggle.

This was a person. She wore earphones all the time.

This was a person. He tutored kids.

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

This was a person. She had a lot of shoes.

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

This was a person. He loved wine.

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

This was a person. He loved oreos.

This was a person. He kept to himself mostly

This was a person. She could fall asleep anywhere.

This was a person. She got out of jail two years ago and never reunited with her family.

This was a person. She survived cancer.

This was a person. He could fall asleep anywhere.

This was a person. He kept to himself mostly

This was a person. He was very good at cleaning. He loved fine dining.

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 went to the horseraces.

This was a person. He talked during movies. He did not sleep with a pillow.

This was a person. She had been having trouble tying her shoes because she pulled a muscle in her abs. She was a virgin.

This was a person. He had a bunch of tattoos. He knew a lot of cops.

This was a person. He always bought flowers for his desk.

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

This was a person. She knew a lot of cops.

This was a person. He just had the bandages removed from plastic surgery.

This was a person. She was very good at cleaning. She had extensions.

This was a person. He can't watch the end of T2 without crying He knew a lot of cops.

This was a person. She was gluten intolerant. She ate a lot of kale.

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

This was a person. He knew a lot of cops.

This was a person. She loved to make out.

This was a person. She was a glassblower.

This was a person. She smoked pot at music festivals.

This was a person. She could play banjo.

This was a person. She was 4 days sober.

This was a person. She was thrifty.

This was a person. He loved nachos.

This was a person. He was a translator.

This was a person. She always made the mashed potatoes at family get-togethers.

This was a person. He loved chocolate.

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

This was a person. She ate the food at convenience stores. She has four overdue books.

This was a person. She overtipped.

This was a person. She lived on breakfast bars.

This was a person. She called in sick to work 9 times last month and was written up at work. She got a terrible haircut a few days ago and shaved her head to escape from it.

This was a person. He was rough and tumble.

This was a person. He wrote for the newspaper. He never ate breakfast.

This was a person. He loved nachos.

This was a person. He was afraid of the water.

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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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The Weight of Clothing

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