Kfar Etzion Massacre Tragedy Casualties Visualization Tool - Cockeyed.com

Cockeyed.com

How much is Inside?
Pranks!
Community & Citizenship
Height Weight Chart
Science Club
Incredible Stuff
How To Guides
Travel

About
Contact

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 overtipped. She abused cars.

This was a person. She loved to fish.

This was a person. He wanted to learn magic. He ate a lot of kale.

This was a person. She couldn't grow a mustache.

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 never raised hisvoice.

This was a person. He had a bunch of cameras. He was lactose intolerant.

This was a person. She was a crossword whiz.

This was a person. She was homophobic.

This was a person. She kept buying vegetables, even though they always just went bad in her fridge.

This was a person. He had a sexy phone voice. He fed the birds.

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

This was a person. She wrote for the newspaper.

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

This was a person. He has four overdue books.

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

This was a person. She had tropical fish.

This was a person. She loved Elvis.

This was a person. She was playing nine games of Words with Friends on her phone.

This was a person. He was gluten intolerant.

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

This was a person. She constantly wore sunglasses.

This was a person. She wore a lot of hats. She picked up litter.

This was a person. She always brought lunch.

This was a person. He was working his way through all of the shows on Netflix.

This was a person. He brought great food to social gatherings.

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

This was a person. She grew up on a farm.

This was a person. She was a crossword whiz.

This was a person. He had tropical fish.

This was a person. He never raised hisvoice.

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

This was a person. He had a podcast.

This was a person. He talked during movies.

This was a person. He was a scout leader.

This was a person. He was learning to speak French.

This was a person. She abused cars. She couldn't stand having the air-conditioner blow on herself .

This was a person. He was a virgin. He was playing nine games of Words with Friends on his phone.

This was a person. She plays fantasy football.

This was a person. He had a hangover yesterday. He was afraid of flying.

This was a person. She sang at parties. She had a green thumb.

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

This was a person. She was afraid of flying.

This was a person. He ate a lot of kale. He always wore a hat.

This was a person. She sang at parties. She picked up litter.

This was a person. He was polite to telemarketers. He always had a clean car.

This was a person. He took careful notes after every meal. He could fall asleep anywhere.

This was a person. She never raised hervoice. She always brought lunch.

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

This was a person. He was a dog person.

This was a person. He taught guitar.

This was a person. He was rough and tumble.

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

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

This was a person. She was learning to speak French.

This was a person. She just had her car stereo repaired.

This was a person. She chewed nicotine gum.

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

This was a person. She was thrifty.

This was a person. She was lactose intolerant.

This was a person. She could always get tickets.

This was a person. She could fix anything.

This was a person. He talked during movies. He threw a lot of parties.

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

This was a person. He was a poet. He was an awful driver.

This was a person. She was left-handed.

This was a person. She was a virgin.

This was a person. She kept buying vegetables, even though they always just went bad in her fridge. She was a DJ.

This was a person. She taught guitar.

This was a person. He played World of Warcraft

This was a person. He had a lot of Beatles records.

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

This was a person. He wanted to learn magic.

This was a person. She only ever had sex with one person.

This was a person. She had long fingernails.

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

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

This was a person. She collected figurines.

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

This was a person. She played chess.

This was a person. She played chess. She helped strangers.

This was a person. She was a cheapskate.

This was a person. She was a good dancer.

This was a person. He never carried cash. He helped people.

This was a person. She once robbed a bank. She wore a lot of black clothing.

This was a person. She loved wine.

This was a person. He lived on breakfast bars.

This was a person. She wrote for the newspaper.

This was a person. She was a tailor.

This was a person. She always brought lunch.

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

This was a person. She had a hangover yesterday. She was a translator.

This was a person. She loved pot. She was a good dancer.

This was a person. He never drank coffee. He could play cricket.

This was a person. He knew how to get free satelittle television. He played guitar on the streets for money.

This was a person. She was playing nine games of Words with Friends on her phone. She was a trivia master.

This was a person. She never carried cash. She could fall asleep anywhere.

This was a person. He was a Mac evangelist. He had a lot of Beatles records.

This was a person. He never carried cash.

This was a person. She was a skilled woodcarver. She prefered bread without crusts.

This was a person. She never carried cash.

This was a person. She could fix anything. She loved Elvis.

This was a person. He played soccer every weekend. He had a bunch of tattoos.

This was a person. She loved chocolate. She wore a lot of hats.

This was a person. He helped strangers.

This was a person. He went to the horseraces.

This was a person. He played a lot of social card games. He excelled at woodworking.

This was a person. He could play harmonica. He loved nachos.

This was a person. He always had a clean car. He sang at parties.

This was a person. She was allergic to peanuts. She ate a lot of fiber.

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

This was a person. He always wore a hat.

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

This was a person. He didn't have a family.

This was a person. He did not own a fridge.

This was a person. She snored.

This was a person. He was a DJ. He was afraid of heights.

This was a person. He could fall asleep anywhere.

This was a person. He was afraid of heights.

This was a person. He took a lot of photos. He was allergic to peanuts.

This was a person. He brought great food to social gatherings. He never drank coffee.

This was a person. He grew up on a farm. He picked up litter.

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

This was a person. He could juggle.

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

This was a person. He kept buying vegetables, even though they always just went bad in his fridge.

This was a person. She was 4 days sober.

This was a person. She picked up litter.

This was a person. She has two living parents.

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.

The Oatmeal Markup | Antiques Roadshow - The Ultimate "Neat Stuff" Show | Iphone vs. Kia | Let us Dilute that For You | Razor and Blades Business Model | Short-Circuiting the Facebook Tease Video Link | Other Websites Besides Healthcare.org which are Broken | Visualizing the Price of a Television | Personal account of working for commision at Banker's Life Insurance | The Three Problems with Child Car Seats | How Much Time is Really Left in the Basketball Game? | Who Uses Their Turn Signal? | Other Web Problems not related to Healthcare.org | The Cross-Section of a Couch | Comparing the Price of Used Car to the Price of a New Car | Rental Car Keys are Horrible | The Actual Amount of Time it Takes | Incorrect Shelf Prices at Walmart | Two Prices for Auto Body Repair | Roadside Sobriety Test | Cash in your Pennies | Get it Together Walmart | Price Increases at Fast Food Restaurants | Yard Sale is Shoe Store Scam | Disaster Casualties Visualization Tool | Walmart vs Target: 2013 | The 146 Drugs in Walmart's $4 Prescription Drug Plan | Email Concealer Codes | accumulating credit card debt | Selling a Structured Settlement | The Torn-up Credit Card Application ! Kirby Vacuum Cleaners

Photographic Height/Weight Chart

The Weight of Clothing

Cockeyed home page | Contact | Terms and Conditions | Updated February 27, 2013 Copyright 2013 Cockeyed.com