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 was very careful about conserving gasoline. This was a person. She  was playing nine games of Words with Friends on  her  phone. This was a person. She always brought reusable bags into the store. She loved fine dining. This was a person. He  was a street vendor. This was a person. He loved Elvis. This was a person. She threw a lot of parties. This was a person. She was good to people. She has a music afficianado. This was a person. He loved oreos. This was a person. He  was a historian. This was a person. He was thrifty. This was a person. He loved wine. This was a person. She was gluten intolerant. This was a person. He got out of jail two years ago and never reunited with his family. This was a person. She ate a lot of hot dogs. She had extensions. This was a person. She  was sleeping with  her  ex. This was a person. He knew how to get free satelittle television. This was a person. She  was sleeping with  her  ex. This was a person. She picked up litter.  She was going blind. This was a person. He  was a poet. This was a person. He was good to people. He was a loner. This was a person. She loved Elvis. She was a dog person. This was a person. She took a lot of photos. This was a person. He excelled at woodworking. He had a tiny wine collection. This was a person. She was the richest of  her friends. This was a person. She constantly wore sunglasses. This was a person. He got out of jail two years ago and never reunited with his family. This was a person. She wore bow ties. This was a person. He wore a lot of jewelry. This was a person. She was rebuilding an engine. This was a person. She was good at job interviews. This was a person. She loved wine. This was a person. He spends a lot of time watching tennis. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. This was a person. He couldn't grow a mustache. He never raised  hisvoice. This was a person. She was very good at cleaning. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. She  was a historian. This was a person. He wrote for the newspaper. This was a person. He played World of Warcraft This was a person. She  was a historian. This was a person. She got out of jail two years ago and never reunited with her family. She  always bought flowers for  her  desk. This was a person. He never finished the book club book. This was a person. He  was a poet. This was a person. He threw a lot of parties. This was a person. She always made the mashed potatoes at family get-togethers. This was a person. She  was a teacher. This was a person. He could play banjo. This was a person. He led the choir. He was an expert barbecuer. This was a person. She prefered bread without crusts. This was a person. He never drank coffee. He could play harmonica. 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 afraid of flying. He was a crossword whiz. This was a person. She took a lot of photos. She was lactose intolerant. This was a person. He did not own a fridge. He survived cancer. This was a person. She could fix anything. She loved Elvis. This was a person. She tutored kids. This was a person. She  was playing nine games of Words with Friends on  her  phone. This was a person. She played World of Warcraft This was a person. She  could always get tickets. This was a person. He  was a street vendor. This was a person. She took careful notes after every meal. She loved Elvis. This was a person. He  was sort of selfish in bed. This was a person. She was a Mac evangelist. This was a person. She had a green thumb. This was a person. She  scalped tickets This was a person. He was working  his  way through all of the shows on Netflix. This was a person. He was an awful driver. This was a person. She  was awaiting judgement for a DUI last month. This was a person. She ate a lot of kale. She slept around. This was a person. He tutored kids. He got thrown off of a golf course. This was a person. She loved pot. This was a person. He was always in a hurry. This was a person. He wrote for the newspaper. This was a person. She  was a tailor. This was a person. She had just paid a crapload of money to get    teeth fixed. This was a person. She had a sexy phone voice. This was a person. She  had VD. She  was a tailor. This was a person. He  was a historian. This was a person. She never drank coffee. This was a person. She always brought reusable bags into the store. This was a person. She always had a clean car. This was a person. She loved to fish. She made pie. This was a person. She helped people. This was a person. He always brought reusable bags into the store. This was a person. He had a lot of music on vinyl. This was a person. She was afraid of the water. This was a person. She had crazy hair colors. This was a person. She wore Spandex. This was a person. She was gluten intolerant. This was a person. He could play cricket. This was a person. She  called in sick to work 9 times last month and was written up at work. She  only ever had sex with one person. This was a person. She was divorced. She was allergic to peanuts. This was a person. She  was a drunk. This was a person. She  was kind of an awesome lover. She  was learning to use CAD software. This was a person. She did not own a fridge. This was a person. She could play harmonica. She was the unofficial relationship guru among   friends. This was a person. She kept to herself mostly This was a person. She had tropical fish. She wanted to learn magic. This was a person. She had a lot of shoes. This was a person. She  was a DJ. This was a person. He could play banjo. This was a person. He spent a lot of time with old people. This was a person. She had a bunch of cameras. This was a person. He was polite to salesmen. He slept around. This was a person. She was homophobic. This was a person. She was cockeyed. This was a person. He survived cancer. He overtipped. This was a person. She always wore a hat. She wore a lot of hats.  This was a person. She was a skilled woodcarver. She had bonsai trees. This was a person. He  was learning to speak French. This was a person. He was a trivia master. This was a person. She loved James Bond movies. She had a lot of Beatles records. This was a person. He  was a teacher. This was a person. She had a baby boy. This was a person. She was sporty. This was a person. She  was a poet. This was a person. He had a sexy phone voice. This was a person. She was working  her  way through all of the shows on Netflix. This was a person. She taught guitar. This was a person. She  was learning to speak French. She  had a personal injury lawsuit working its way through the courts. This was a person. He wrote for the newspaper. He was lactose intolerant.

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