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. He  was kind of an awesome lover. This was a person. He helped strangers. This was a person. She was a scout leader.  This was a person. He was the richest of  his friends. This was a person. He had tropical fish. He was gluten intolerant. This was a person. He constantly wore sunglasses. He had a podcast. This was a person. She went to the horseraces. This was a person. She wore a lot of jewelry. She had an awesome home theatre. This was a person. She has two living parents. This was a person. She loved nachos. This was a person. She was a cheapskate. She was a scout leader.  This was a person. She  finished reading all of the works of Homer. This was a person. She didn't have a family. This was a person. He always brought reusable bags into the store. This was a person. She can't watch the end of T2 without crying She played piano. This was a person. He sang. He didn't get along with animals. This was a person. She has two living parents. This was a person. He  was a historian. This was a person. He loved chocolate. He was left-handed. This was a person. He ate the food at convenience stores. This was a person. She never ate breakfast. This was a person. She could play harmonica. She loved nachos. This was a person. She  could always get tickets. This was a person. He  was a pharmacist. This was a person. He had a sexy phone voice. This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. This was a person. She was rough and tumble. This was a person. He loved nachos. This was a person. He was a glassblower. This was a person. He was a hoarder. This was a person. She had a podcast. This was a person. She made pie. This was a person. He had a lot of shoes. He was an expert barbecuer. This was a person. She always brought reusable bags into the store. She was left-handed. This was a person. He was 4 days sober. This was a person. He always wore a hat. This was a person. She  was training to run a marathon. This was a person. He was a hoarder. He played a lot of social card games.  This was a person. She abused cars. This was a person. He had an awesome home theatre. He was a vegetarian. This was a person. He was a trivia master. He watched a lot of sports on TV, but never played them  himself. This was a person. He had long fingernails. This was a person. She wanted to learn magic. This was a person. She was kind of addicted to ebay. This was a person. He was a hoarder. He played a lot of social card games.  This was a person. He was living with his sister. This was a person. He  was a tailor. This was a person. He made scrapbooks. He helped the widow next door. This was a person. She  was playing nine games of Words with Friends on  her  phone. She has a suit at the cleaners. This was a person. She ate a lot of chinese food. This was a person. He was an expert barbecuer. This was a person. He never carried cash. This was a person. She could juggle. This was a person. He had an unfortunate nickname. He had a green thumb. This was a person. She always wore a hat. This was a person. He played piano. This was a person. She took a lot of photos. This was a person. She had crazy hair colors. She grew up on a farm.  This was a person. He was the richest of  his friends. This was a person. He was a skilled woodcarver. This was a person. He was 4 days sober. This was a person. He was a wedding photographer. He ate a lot of hot dogs. This was a person. He was the unofficial relationship guru among  his friends. This was a person. He could fix anything. This was a person. She  was awaiting judgement for a DUI last month. She  was playing nine games of Words with Friends on  her  phone. This was a person. He wore bow ties. He loved museums. This was a person. He was a trivia master. He had a bunch of tattoos. This was a person. He taught guitar. This was a person. She had just paid a crapload of money to get   her teeth fixed. This was a person. He  went to church. This was a person. He had an unfortunate nickname. He plays fantasy football. This was a person. He spent a lot of time with old people. This was a person. He loved James Bond movies. He constantly wore sunglasses. This was a person. He was a skilled woodcarver. This was a person. He ate a lot of fish. This was a person. He did not own a fridge. This was a person. He loved James Bond movies. This was a person. He loved to fish. This was a person. She  was a tailor. This was a person. He watched a lot of sports on TV, but never played them  himself. This was a person. He made scrapbooks. This was a person. He  was sort of selfish in bed. This was a person. He  played soccer every weekend. This was a person. He played a lot of social card games.  He had a lot of shoes. This was a person. He slept around. This was a person. She  was a plumber. She  went to church. This was a person. He  played soccer every weekend. This was a person. She taught guitar. She had a bunch of cameras. This was a person. He was very careful about conserving gasoline. This was a person. She kept to herself mostly This was a person. He grew up on a farm.  This was a person. He was polite to telemarketers. This was a person. He was always in a hurry. This was a person. She never raised  hervoice. This was a person. He  was learning to use CAD software. He  was a tailor. This was a person. She always brought reusable bags into the store. This was a person. She loved Elvis. This was a person. She was living with her sister. This was a person. He threw a lot of parties. This was a person. He ate a lot of hot dogs. This was a person. She occasionally shop lifted. She has a music afficianado. This was a person. He  was a drunk. This was a person. He snored. This was a person. He helped people. He always brought lunch. This was a person. She was a wedding photographer. This was a person. She had long fingernails. She always brought reusable bags into the store. This was a person. He loved cigarettes. This was a person. She had an unfortunate nickname. This was a person. She  was sort of selfish in bed. She made  her  own beer and was kind of stingy with it. This was a person. He excelled at woodworking. This was a person. She was homophobic. This was a person. She had an unfortunate nickname. This was a person. She had a gun. This was a person. She  had a hangover yesterday. This was a person. He was a skilled woodcarver. This was a person. He  was awaiting judgement for a DUI last month. He  was a virgin. This was a person. She ate a lot of raisins. This was a person. She could play cricket. This was a person. She did not sleep with a pillow. This was a person. She  played soccer every weekend. This was a person. She always had a clean car. This was a person. He was divorced. He snored. This was a person. He  loved to make out. This was a person. She didn't have a family. This was a person. She  always bought flowers for  her  desk. This was a person. She survived cancer. This was a person. He was very good at cleaning. This was a person. He was a glassblower. This was a person. He did not sleep with a pillow.

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