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 picked up litter.

This was a person. He once robbed a bank.

This was a person. She loved nachos. She always brought reusable bags into the store.

This was a person. He sang at parties.

This was a person. He had braces on his teeth. He had an awesome home theatre.

This was a person. She had braces on her teeth.

This was a person. She had a gun.

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

This was a person. She had tropical fish. She chewed gum constantly.

This was a person. She helped strangers.

This was a person. He had a podcast. He could play harmonica.

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

This was a person. He was allergic to peanuts.

This was a person. She looked like a cartoon. She picked up litter.

This was a person. She was a cheapskate.

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

This was a person. He did open mike. He had a gun.

This was a person. She didn't have a family. She loved to make out.

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

This was a person. He was a poet. He was a crossword whiz.

This was a person. She threw a lot of parties. She prefered bread without crusts.

This was a person. He was a cheapskate.

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

This was a person. She had VD.

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

This was a person. She was a vegetarian.

This was a person. He was a good dancer.

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

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

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

This was a person. She loved oreos.

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

This was a person. He was homophobic.

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

This was a person. He was a wedding photographer.

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

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

This was a person. He loved James Bond movies.

This was a person. She always brought lunch.

This was a person. She constantly wore sunglasses. She chewed gum constantly.

This was a person. He was a DJ.

This was a person. She picked up litter.

This was a person. She helped strangers.

This was a person. He once robbed a bank.

This was a person. He was afraid of flying.

This was a person. She helped strangers.

This was a person. He wrote for the newspaper. He had bonsai trees.

This was a person. She was a glassblower.

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

This was a person. He had extensions.

This was a person. He had VD. He was a crossword whiz.

This was a person. She had tropical fish.

This was a person. He had a podcast. He could play harmonica.

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

This was a person. She always had a clean car.

This was a person. She was polite to salesmen.

This was a person. He could always get tickets.

This was a person. He was a historian. He did open mike.

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

This was a person. He only ever had sex with one person. He was a tailor.

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

This was a person. She can't watch the end of T2 without crying

This was a person. He was a crossword whiz.

This was a person. She led the choir.

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

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

This was a person. He was good to people.

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

This was a person. She watched a lot of sports on TV, but never played them herself.

This was a person. He had VD.

This was a person. He was allergic to peanuts.

This was a person. She collected figurines.

This was a person. He was lactose intolerant. He was very good at cleaning.

This was a person. She brought great food to social gatherings. She was polite to salesmen.

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

This was a person. She was a street vendor. She was a trivia master.

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

This was a person. He scalped tickets

This was a person. He was a good dancer.

This was a person. She never ate breakfast.

This was a person. She was the richest of her friends.

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

This was a person. She played chess. She was good to people.

This was a person. He loved Elvis.

This was a person. She was a glassblower.

This was a person. He just had his car stereo repaired. He was afraid of the water.

This was a person. She knew how to get free satelittle television. She had a lot of shoes.

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

This was a person. He tutored kids. He was left-handed.

This was a person. She sang at parties.

This was a person. She always had a clean car.

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

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

This was a person. She had VD.

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

This was a person. He could play trumpet.

This was a person. She wanted to learn magic.

This was a person. He could always get tickets. He loved Elvis.

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

This was a person. She was a cheapskate. She was good to people.

This was a person. He never carried cash.

This was a person. She lived on breakfast bars. She was allergic to peanuts.

This was a person. She was a cheapskate.

This was a person. She was a DJ.

This was a person. He was sporty. He chewed nicotine gum.

This was a person. She had been having trouble tying her shoes because she pulled a muscle in her abs. She was sort of selfish in bed.

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

This was a person. He had crazy hair colors.

This was a person. He never finished the book club book.

This was a person. He was a pharmacist.

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

This was a person. She was a teacher.

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

This was a person. He was a cat person.

This was a person. He had a personal injury lawsuit working its way through the courts. He was always in a hurry.

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

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

This was a person. She was a Mac evangelist.

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 a secret Buddahist.

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 was a dog person.

This was a person. She taught guitar.

This was a person. He made pie.

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

This was a person. She was homophobic. She was a wedding photographer.

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

This was a person. He had a baby boy.

This was a person. He loved to fish.

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