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: Mountain Meadows massacre: 1857

120 Dead Men and Women

The Mountain Meadows massacre was a series of attacks on an emigrant wagon train by Mormons in southern Utah, 1857.

This was a person. He always brought lunch. This was a person. She was the richest of  her friends. This was a person. He had a bunch of tattoos. This was a person. She loved Elvis. She was thrifty. This was a person. He wrote for the newspaper. This was a person. She  did open mike. This was a person. She slept around. She was cockeyed. This was a person. He picked up litter.  This was a person. He was a hoarder. This was a person. He ate a lot of kale. This was a person. He  volunteered at a middle school, because  he  had a crush on one of the other tutors. This was a person. He made  his  own beer and was kind of stingy with it. He knew a lot of cops. This was a person. She loved fine dining. This was a person. He always brought lunch. He could play banjo. This was a person. He  finished reading all of the works of Homer. This was a person. She  was a plumber. This was a person. She could play banjo. She never finished the book club book. This was a person. He took a lot of photos. This was a person. He sang. This was a person. She snored. This was a person. She loved Elvis. This was a person. He had an unfortunate nickname. This was a person. He  was a mason. This was a person. He was a cheapskate. This was a person. He was a vegetarian. He was lactose intolerant. This was a person. He just had the bandages removed from  plastic surgery. This was a person. He was very careful about conserving gasoline. This was a person. She has four overdue books.  She played guitar on the streets for money. This was a person. She was a Mac evangelist. This was a person. She  had a personal injury lawsuit working its way through the courts. This was a person. She  was a poet. This was a person. She didn't have a family. This was a person. She was a hoarder. She loved fine dining. This was a person. She loved to fish. This was a person. She occasionally shop lifted. This was a person. She wrote for the newspaper. This was a person. She was very good at cleaning. She slept around. This was a person. She  had VD. She  did open mike. This was a person. She did not own a fridge. She played a lot of social card games.  This was a person. He spends a lot of time watching tennis. This was a person. He wore a lot of hats.  This was a person. She didn't get along with animals. She was good to people. This was a person. She  finished reading all of the works of Homer. This was a person. She had a lot of music on vinyl. This was a person. She  was sleeping with  her  ex. 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 was gluten intolerant. This was a person. She went to the horseraces. This was a person. He was an awful driver. This was a person. He was good at job interviews. This was a person. He  was a virgin. This was a person. He threw a lot of parties. He never ate breakfast. This was a person. She  was a pharmacist. She was always in a hurry. This was a person. He loved cigarettes. This was a person. She always made the mashed potatoes at family get-togethers. This was a person. He  scalped tickets This was a person. She has four overdue books.  She wore bow ties. This was a person. He  was a mason. This was a person. He did not own a fridge. This was a person. He  was afraid of flying. This was a person. She could play cricket. This was a person. She could play trumpet. She was a good dancer. This was a person. She  was a DJ. This was a person. She was a trivia master. This was a person. She wanted to learn magic. This was a person. He had a lot of Beatles records. This was a person. She ate a lot of fish. This was a person. She had a twin. She  was sort of selfish in bed. This was a person. She ate the food at convenience stores. She was diabetic. This was a person. He  was a drunk. This was a person. She led the choir. This was a person. He  was a teacher. This was a person. He wore earphones all the time. This was a person. He  was a tailor. He could fix anything. This was a person. She  was training to run a marathon. She  loved to make out. This was a person. She taught guitar. She was a vegetarian. This was a person. She plays fantasy football. This was a person. He was kind of addicted to ebay. This was a person. He could fix anything. This was a person. He lived on breakfast bars. This was a person. He couldn't grow a mustache. This was a person. She had a gun. She helped people. This was a person. She wore earphones all the time. This was a person. She wanted to learn magic. She always had a clean car. This was a person. She was polite to telemarketers. This was a person. She  loved to make out. She had a bunch of tattoos. This was a person. She knew how to get free satelittle television. This was a person. She went to the horseraces. This was a person. She  was learning to speak French. She  only ever had sex with one person. This was a person. He  scalped tickets He had a gun. This was a person. She wore bow ties. This was a person. He  was a poet. He wore a lot of jewelry. This was a person. He had a podcast. This was a person. She was a glassblower. This was a person. She was afraid of the water. She had a lot of Beatles records. This was a person. He always brought reusable bags into the store. This was a person. He prefered bread without crusts. This was a person. He loved James Bond movies. This was a person. He spends a lot of time watching tennis. This was a person. He  loved to make out. This was a person. She sang at parties. This was a person. She was allergic to peanuts. This was a person. He can't watch the end of T2 without crying This was a person. He could fall asleep anywhere. This was a person. He knew how to get free satelittle television. This was a person. He was lactose intolerant. This was a person. She loved to fish. She always brought lunch. This was a person. She  was kind of an awesome lover. This was a person. He talked during movies. This was a person. She  was sort of selfish in bed. This was a person. He didn't have a family. He  was learning to use CAD software. This was a person. She can't watch the end of T2 without crying She did not sleep with a pillow. This was a person. He had a gun. This was a person. He talked during movies. This was a person. She threw a lot of parties. She was gluten intolerant. This was a person. He was homophobic. This was a person. He was a cheapskate. 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  could always get tickets. This was a person. She  was a drunk.

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