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  kept buying vegetables, even though they always just went bad in  his fridge. This was a person. She had a podcast. She kept to herself mostly This was a person. She ate a lot of hot dogs. This was a person. She had an awesome home theatre. She always brought lunch. This was a person. He  was learning to use CAD software. This was a person. She had braces on  her  teeth. This was a person. She  was awaiting judgement for a DUI last month. This was a person. She was homophobic. She kept to herself mostly This was a person. She played World of Warcraft She loved rollerblading. This was a person. She  had a personal injury lawsuit working its way through the courts. She  was a tailor. This was a person. He  did open mike. He had a bunch of tattoos. 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. She has four overdue books.  She played guitar on the streets for money. This was a person. She was polite to telemarketers. This was a person. She  was learning to speak French. This was a person. She was divorced. She never ate breakfast. This was a person. He  was a plumber. This was a person. She was homophobic. She had bonsai trees. This was a person. He  called in sick to work 9 times last month and was written up at work. This was a person. He ate a lot of kale. This was a person. She could play banjo. This was a person. She was divorced. This was a person. She wrote for the newspaper. This was a person. She watched a lot of sports on TV, but never played them  herself. This was a person. She plays fantasy football. She had a lot of shoes. This was a person. He was a Mac evangelist. This was a person. He occasionally shop lifted. This was a person. He wrote for the newspaper. This was a person. She  was a mason. This was a person. He was thrifty. He was gluten intolerant. This was a person. She ate a lot of fiber. She wore Spandex. This was a person. He was a cheapskate. This was a person. She got out of jail two years ago and never reunited with her family. This was a person. He could play trumpet. This was a person. She taught guitar. This was a person. She  was a pharmacist. This was a person. He  was a pharmacist. This was a person. He wrote for the newspaper. This was a person. He  loved to make out. This was a person. He looked like a cartoon. He overtipped. This was a person. He was a vegetarian. This was a person. He ate a lot of raisins. This was a person. She ate a lot of hot dogs. This was a person. He had a twin. This was a person. He  could always get tickets. This was a person. She can't watch the end of T2 without crying This was a person. He could fall asleep anywhere. This was a person. He  was a pharmacist. This was a person. He  was a tailor. This was a person. He was living with his sister. He  was awaiting judgement for a DUI last month. This was a person. She  was afraid of flying. This was a person. She  was kind of an awesome lover. This was a person. He had a lot of Beatles records. He loved oreos. This was a person. He just had  his car stereo repaired. This was a person. He had braces on  his  teeth. He had an awesome home theatre. This was a person. He could play trumpet. This was a person. She  played soccer every weekend. This was a person. He ate a lot of fiber. This was a person. He led the choir. He chewed nicotine gum. This was a person. She kept to herself mostly This was a person. She loved fine dining. This was a person. He was kind of addicted to ebay. This was a person. He  was training to run a marathon. He  was a plumber. This was a person. She  was learning to use CAD software. This was a person. He  went to church. He had a lot of Beatles records. This was a person. He was a hoarder. This was a person. He  scalped tickets This was a person. He loved cigarettes. This was a person. She was polite to telemarketers. This was a person. He  only ever had sex with one person. He  did open mike. This was a person. He has four overdue books.  This was a person. He constantly wore sunglasses. He had a podcast. This was a person. She overtipped. This was a person. She  played soccer every weekend. She was kind of addicted to ebay. This was a person. He had a gun. He helped people. This was a person. She can't watch the end of T2 without crying She was a secret Buddahist. This was a person. He always made the mashed potatoes at family get-togethers. This was a person. He had bonsai trees. This was a person. He  was awaiting judgement for a DUI last month. This was a person. He was an expert barbecuer. He couldn't stand having the air-conditioner blow on   himself . This was a person. He was very careful about conserving gasoline. He grew up on a farm.  This was a person. He never carried cash. This was a person. She just had  her car stereo repaired. This was a person. She couldn't grow a mustache. She had tropical fish. This was a person. She was a dog person. This was a person. She could play trumpet. This was a person. She was very good at cleaning. This was a person. He plays fantasy football. This was a person. She loved to fish. This was a person. She had a green thumb. This was a person. She loved pot. This was a person. He  always bought flowers for  his  desk. He was working  his  way through all of the shows on Netflix. This was a person. He can't watch the end of T2 without crying He was kind of addicted to ebay. This was a person. She loved chocolate. This was a person. She never ate breakfast. She wanted to learn magic. This was a person. He had extensions. This was a person. He played chess. This was a person. She spends a lot of time watching tennis. This was a person. She tutored kids. This was a person. She  was sleeping with  her  ex. She  was a pharmacist. This was a person. She was allergic to peanuts. 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 always brought lunch. This was a person. She helped people. This was a person. She had a baby boy. This was a person. She  always bought flowers for  her  desk. She  was a historian. This was a person. He  was training to run a marathon. This was a person. He had a bunch of tattoos. He loved Elvis. This was a person. He had bonsai trees. This was a person. She took a lot of photos. This was a person. She was a cat person. This was a person. She was cockeyed. She was balding. This was a person. She  was a teacher. She was rebuilding an engine. This was a person. He was living with his sister. He  always bought flowers for  his  desk. This was a person. She was a dog person. This was a person. He  was a plumber. This was a person. She  collected figurines. This was a person. He had a lot of Beatles records. This was a person. She was very careful about conserving gasoline. This was a person. He  was a plumber.

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