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. She knew a lot of cops. This was a person. He  had a personal injury lawsuit working its way through the courts. He was working  his  way through all of the shows on Netflix. This was a person. She ate a lot of fish. This was a person. She  was a teacher. She loved James Bond movies. This was a person. She was allergic to peanuts. This was a person. He  was learning to speak French. He  was a pharmacist. This was a person. She ate the food at convenience stores. This was a person. She was an awful driver. This was a person. She was allergic to peanuts. This was a person. She helped strangers. She loved museums. This was a person. He wore earphones all the time. He helped people. This was a person. She  was kind of an awesome lover. This was a person. He  had been having trouble tying  his shoes because  he  pulled a muscle in his abs. This was a person. She knew a lot of cops. This was a person. She prefered bread without crusts. This was a person. He didn't get along with animals. This was a person. She overtipped. This was a person. She loved James Bond movies. This was a person. She  was a teacher. This was a person. She sang. This was a person. He led the choir. This was a person. He sang. This was a person. She was 4 days sober. This was a person. He has four overdue books.  This was a person. She got thrown off of a golf course. This was a person. She wore a lot of hats.  This was a person. He  was awaiting judgement for a DUI last month. This was a person. She  was awaiting judgement for a DUI last month. She  had VD. This was a person. He made scrapbooks. He was diabetic. This was a person. She was afraid of the water. She helped people. This was a person. She  was sort of selfish in bed. This was a person. He plays fantasy football. He helped strangers. This was a person. She  was a DJ. She was afraid of heights. This was a person. She loved pot. She was very careful about conserving gasoline. This was a person. He could juggle. This was a person. She loved cigarettes. This was a person. She was living with her sister. This was a person. She played piano. She was a vegetarian. This was a person. He was a wedding photographer. He always wore a hat. This was a person. She  went to church. This was a person. He was 4 days sober. 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. She looked like a cartoon. She got thrown off of a golf course. This was a person. She  was training to run a marathon. This was a person. She played chess. This was a person. She wore bow ties. This was a person. She plays fantasy football. This was a person. She could play cricket. This was a person. She  was learning to use CAD software. This was a person. She loved oreos. She had long fingernails. This was a person. He had a bunch of tattoos. This was a person. She had a gun. This was a person. She could fix anything. This was a person. She plays fantasy football. This was a person. She loved fine dining. This was a person. He  was a teacher. This was a person. He occasionally shop lifted. This was a person. She always had a clean car. This was a person. She just had the bandages removed from  plastic surgery. This was a person. She had a green thumb. This was a person. She always had a clean car. This was a person. She was afraid of the water. She had a lot of Beatles records. This was a person. He looked like a cartoon. This was a person. He  was sleeping with  his  ex. This was a person. He talked during movies. This was a person. He  finished reading all of the works of Homer. This was a person. He spent a lot of time with old people. He loved rollerblading. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. This was a person. He  played soccer every weekend. He talked during movies. This was a person. She  was a tailor. This was a person. He  played soccer every weekend. This was a person. She was a skilled woodcarver. This was a person. He had a lot of Beatles records. This was a person. She did not own a fridge. This was a person. She  was a teacher. She was afraid of the water. This was a person. He played World of Warcraft This was a person. He abused cars. He has a music afficianado. This was a person. She was a Mac evangelist. She loved Elvis. This was a person. He constantly wore sunglasses. He was gluten intolerant. This was a person. He  had VD. He  was a teacher. This was a person. She ate a lot of kale. This was a person. She can't watch the end of T2 without crying This was a person. He was an expert barbecuer. This was a person. She played World of Warcraft This was a person. She was a wedding photographer. She loved chocolate. This was a person. He was good at job interviews. This was a person. She was a glassblower. This was a person. He overtipped. This was a person. She  was a translator. This was a person. She always had gum. This was a person. She was a cat person. This was a person. He survived cancer. This was a person. He took a lot of photos. This was a person. She was a hoarder. This was a person. She played World of Warcraft This was a person. She threw a lot of parties. This was a person. He had an awesome home theatre. This was a person. She snored. This was a person. She was very good at cleaning. This was a person. He loved oreos. This was a person. He wore Spandex. This was a person. He  was a translator. This was a person. She has a suit at the cleaners. This was a person. She  was a teacher. This was a person. She tutored kids. This was a person. She played a lot of social card games.  She was good to people. This was a person. She has a suit at the cleaners. This was a person. She prefered bread without crusts. She was very careful about conserving gasoline. This was a person. He couldn't grow a mustache. This was a person. She talked during movies. This was a person. He prefered bread without crusts. This was a person. She was divorced. This was a person. She knew a lot of cops. This was a person. He could play banjo. He always brought reusable bags into the store. This was a person. She made  her  own beer and was kind of stingy with it. This was a person. She was living with her sister. This was a person. He had a lot of Beatles records. This was a person. She ate a lot of raisins. This was a person. She was a crossword whiz. This was a person. He led the choir.

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