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 lactose intolerant. This was a person. He played piano. This was a person. She  went to church. This was a person. She threw a lot of parties. This was a person. He was polite to salesmen. He was rough and tumble. This was a person. He was good at job interviews. He had long fingernails. This was a person. She  went to church. She loved to fish. This was a person. She tutored kids. This was a person. She was afraid of heights. This was a person. She  could always get tickets. This was a person. She was a hoarder. This was a person. She grew up on a farm.  This was a person. She watched a lot of sports on TV, but never played them  herself. This was a person. She loved wine. This was a person. She never finished the book club book. This was a person. She was an awful driver. This was a person. He loved cigarettes. This was a person. He had extensions. This was a person. She  was kind of an awesome lover. She was a crossword whiz. This was a person. He was a vegetarian. This was a person. He was kind of addicted to ebay. He had tropical fish. This was a person. He grew up on a farm.  This was a person. She played piano. She loved oreos. This was a person. She was cockeyed. This was a person. He had tropical fish. He ate a lot of fish. This was a person. He was a scout leader.  He loved museums. This was a person. He  was a poet. He was a crossword whiz. This was a person. She was 4 days sober. This was a person. He never ate breakfast. He could play cricket. This was a person. He helped strangers. He rode motorcycles. This was a person. He spends a lot of time watching tennis. This was a person. He loved wine. This was a person. She was gluten intolerant. This was a person. She was afraid of the water. This was a person. He  was playing nine games of Words with Friends on  his  phone. This was a person. He was good at job interviews. This was a person. She loved wine. This was a person. He  was a plumber. This was a person. She ate a lot of hot dogs. This was a person. He was the unofficial relationship guru among   friends. This was a person. He went to the horseraces. This was a person. He loved chocolate. This was a person. He had a twin. He  was a translator. This was a person. He talked during movies. This was a person. He was a trivia master. He was an awful driver. This was a person. She has four overdue books.  This was a person. She spent a lot of time with old people. This was a person. He was cockeyed. He was diabetic. This was a person. He was cockeyed. This was a person. He played chess. This was a person. He was polite to telemarketers. This was a person. She ate the food at convenience stores. This was a person. He was a glassblower. This was a person. She was polite to salesmen. This was a person. He  was training to run a marathon. This was a person. He was cockeyed. This was a person. He always brought reusable bags into the store. He always had gum. This was a person. He never drank coffee. This was a person. She never carried cash. This was a person. He had a gun. He made pie. This was a person. He had a green thumb. This was a person. He did not own a fridge. This was a person. He loved Elvis. This was a person. He chewed gum constantly. He loved pot. This was a person. She was a scout leader.  This was a person. She  did open mike. She knew a lot of cops. This was a person. He watched a lot of sports on TV, but never played them  himself. This was a person. 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 always wore a hat. He had extensions. This was a person. She spent a lot of time with old people. She couldn't stand having the air-conditioner blow on   herself . This was a person. She  had VD. This was a person. He  always bought flowers for  his  desk. This was a person. She  was a pharmacist. This was a person. He made scrapbooks. This was a person. He had a green thumb. He had a lot of shoes. This was a person. She was divorced. She was lactose intolerant. This was a person. She never carried cash. This was a person. She sang at parties. She was a scout leader.  This was a person. He was polite to telemarketers. This was a person. He made pie. This was a person. She spent a lot of time with old people. This was a person. She loved cigarettes. She slept around. This was a person. She helped people. She loved oreos. This was a person. She was 4 days sober. This was a person. She threw a lot of parties. This was a person. He never ate breakfast. This was a person. He didn't get along with animals. He ate the food at convenience stores. This was a person. He chewed nicotine gum. This was a person. She was a skilled woodcarver. This was a person. She had a lot of Beatles records. This was a person. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. He  was learning to use CAD software. This was a person. He got out of jail two years ago and never reunited with his family. This was a person. She was very good at cleaning. This was a person. She  was training to run a marathon. This was a person. He was a skilled woodcarver. This was a person. She  scalped tickets This was a person. She had a green thumb. This was a person. He was rebuilding an engine. This was a person. She lived on breakfast bars. This was a person. He was a cheapskate. This was a person. He had a baby boy. This was a person. She  was a teacher. 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 had a green thumb. This was a person. He had a baby boy. He  kept buying vegetables, even though they always just went bad in  his fridge. This was a person. He had a lot of shoes. He couldn't swim. This was a person. She was a skilled woodcarver. This was a person. She  did open mike. This was a person. She was homophobic. This was a person. He was rough and tumble. He spends a lot of time watching tennis. This was a person. He loved Elvis. This was a person. She knew a lot of cops. This was a person. She brought great food to social gatherings. She was allergic to peanuts. This was a person. He played piano. He was a skilled woodcarver. This was a person. He  had been having trouble tying  his shoes because  he  pulled a muscle in his abs. He  was playing nine games of Words with Friends on  his  phone. This was a person. He wore bow ties. This was a person. He could play harmonica. This was a person. He  was a historian. This was a person. She had extensions.

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