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  had a hangover yesterday. This was a person. He had an awesome home theatre. This was a person. He had bonsai trees. This was a person. He  was a poet. This was a person. She was the richest of  her friends. This was a person. He was a crossword whiz. This was a person. He was an expert barbecuer. This was a person. He  was awaiting judgement for a DUI last month. This was a person. She knew how to get free satelittle television. This was a person. He had a lot of music on vinyl. This was a person. She was rough and tumble. She went to the horseraces. This was a person. He had a lot of Beatles records. This was a person. She led the choir. This was a person. She  was learning to use CAD software. This was a person. He was thrifty. He was a wedding photographer. This was a person. She ate a lot of raisins. This was a person. She ate a lot of fish. This was a person. He loved Elvis. He was divorced. This was a person. He had long fingernails. He was a hoarder. This was a person. He never finished the book club book. He was left-handed. This was a person. He was polite to telemarketers. This was a person. He loved James Bond movies. This was a person. He just had the bandages removed from  plastic surgery. This was a person. He loved wine. This was a person. He had a green thumb. He played guitar on the streets for money. This was a person. She was a dog person. She loved oreos. This was a person. He abused cars. He was balding. This was a person. He never finished the book club book. This was a person. She had a lot of shoes. This was a person. He  scalped tickets This was a person. She prefered bread without crusts. This was a person. She wore a lot of hats.  This was a person. She tutored kids. She ate the food at convenience stores. This was a person. She  was kind of an awesome lover. She was a trivia master. This was a person. He was good to people. He never tried gin. This was a person. She occasionally shop lifted. This was a person. She chewed gum constantly. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. This was a person. He took a lot of photos. He had a bunch of cameras. This was a person. He did not own a fridge. This was a person. He took a lot of photos. This was a person. He just had the bandages removed from  plastic surgery. This was a person. She helped people. This was a person. She  was awaiting judgement for a DUI last month. This was a person. She overtipped. She plays fantasy football. This was a person. She was a secret Buddahist. This was a person. She led the choir. She was balding. This was a person. He  was a street vendor. This was a person. She had a lot of music on vinyl. This was a person. He overtipped. He abused cars. This was a person. She has a suit at the cleaners. This was a person. She  was a historian. She couldn't grow a mustache. This was a person. He was polite to telemarketers. This was a person. He helped strangers. He had lice. This was a person. She was cockeyed. This was a person. He had a bunch of tattoos. He couldn't grow a mustache. This was a person. She had a lot of Beatles records. This was a person. She  was learning to use CAD software. She was always in a hurry. This was a person. He was a Mac evangelist. He was the richest of  his friends. This was a person. He has two living parents. This was a person. He has four overdue books.  This was a person. He ate a lot of raisins. This was a person. She was kind of addicted to ebay. This was a person. She taught guitar. This was a person. She could play banjo. This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. She  was a translator. This was a person. He was an awful driver. This was a person. He spent a lot of time with old people. This was a person. He  was sleeping with  his  ex. This was a person. She  was a mason. She never carried cash. This was a person. He loved wine. This was a person. She was rough and tumble. This was a person. She was a good dancer. She was left-handed. This was a person. He took careful notes after every meal. This was a person. He was a secret Buddahist. This was a person. She ate a lot of fish. This was a person. She  was a drunk. This was a person. He always brought lunch. This was a person. She was kind of addicted to ebay. She loved to fish. This was a person. She loved cigarettes. This was a person. He spent a lot of time with old people. This was a person. She was a good dancer. This was a person. She  was learning to use CAD software. She was an awful driver. This was a person. He  had a hangover yesterday. This was a person. He was good at job interviews. This was a person. He  had a hangover yesterday. This was a person. He could play trumpet. He loved wine. This was a person. She  had a hangover yesterday. This was a person. He  was kind of an awesome lover. He was a trivia master. This was a person. He was an expert barbecuer. This was a person. He was good to people. He was obsessed with sitcoms. This was a person. He was always in a hurry. He had a gun. This was a person. He was a cheapskate. He helped strangers. This was a person. He had a podcast. He was polite to telemarketers. This was a person. She had a bunch of cameras. This was a person. She  was a mason. This was a person. He  was a teacher. He couldn't grow a mustache. This was a person. He  was a drunk. This was a person. He kept to himself mostly This was a person. He was a scout leader.  This was a person. She had tropical fish. This was a person. He  was a DJ. He could fix anything. This was a person. She could play cricket. This was a person. She sang. This was a person. He wrote for the newspaper. He ate a lot of hot dogs. This was a person. He excelled at woodworking. He helped the widow next door. This was a person. He was living with his sister. He  was kind of an awesome lover. This was a person. He  collected figurines. This was a person. He had a gun. This was a person. She was a trivia master. This was a person. She  was sleeping with  her  ex. This was a person. She chewed nicotine gum. This was a person. She  did open mike. She made  her  own beer and was kind of stingy with it. This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. She  was a poet. This was a person. She was afraid of the water. This was a person. She didn't get along with animals. She loved fine dining. This was a person. She was a wedding photographer. This was a person. She  was a historian. 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 ate a lot of chinese food. This was a person. She was polite to salesmen. This was a person. She loved fine dining. She picked up litter.  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 left-handed. This was a person. He ate a lot of fish. This was a person. He chewed gum constantly. He was gluten intolerant. 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 spends a lot of time watching tennis. This was a person. She  was kind of an awesome lover. She  played soccer every weekend.

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
  • The Television Commercial Database

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