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 had a lot of music on vinyl. She had a podcast. This was a person. She was a trivia master. This was a person. He went to the horseraces. This was a person. She had crazy hair colors. This was a person. She played piano. This was a person. He was an expert barbecuer. This was a person. He made  his  own beer and was kind of stingy with it. He had an awesome home theatre. This was a person. She loved Elvis. This was a person. He  was a virgin. This was a person. She had a twin. She  was a translator. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. This was a person. She wore bow ties. This was a person. She slept around. This was a person. He smoked pot at music festivals. This was a person. He chewed gum constantly. This was a person. He once robbed a bank. He couldn't stand having the air-conditioner blow on   himself . This was a person. He  was a translator. This was a person. She was working  her  way through all of the shows on Netflix. This was a person. She  could always get tickets. She was afraid of the water. This was a person. She brought great food to social gatherings. This was a person. She played piano. She always brought lunch. This was a person. She was polite to telemarketers. This was a person. She had long fingernails. She didn't get along with animals. This was a person. He played chess. He had a tiny wine collection. This was a person. He  was sleeping with  his  ex. This was a person. He spent a lot of time with old people. He fixed bikes. This was a person. She  was a poet. She had braces on  her  teeth. This was a person. She  was afraid of flying. This was a person. She grew up on a farm.  This was a person. She talked during movies. This was a person. He  dropped his work laptop last week, destroyed it and couldn't sleep for days. He  had VD. This was a person. She was a glassblower. She ate a lot of chinese food. This was a person. He loved pot. This was a person. He always wore a hat. He wore Spandex. This was a person. He has two living parents. This was a person. He always brought lunch. This was a person. She couldn't grow a mustache. This was a person. He knew a lot of cops. This was a person. She was an awful driver. This was a person. She was always in a hurry. This was a person. He helped people. He always brought lunch. This was a person. He  loved to make out. This was a person. She  played soccer every weekend. This was a person. She had a podcast. She ate a lot of hot dogs. This was a person. He got out of jail two years ago and never reunited with his family. This was a person. She has a suit at the cleaners. This was a person. She can't watch the end of T2 without crying She wore earphones all the time. This was a person. She constantly wore sunglasses. This was a person. She was 4 days sober. This was a person. She never ate breakfast. She loved wine. This was a person. He  played soccer every weekend. He could fix anything. This was a person. He  was playing nine games of Words with Friends on  his  phone. This was a person. She was very careful about conserving gasoline. This was a person. She wrote for the newspaper. This was a person. He  was a translator. This was a person. He was a cheapskate. This was a person. She  was a historian. She  scalped tickets This was a person. She was an expert barbecuer. She was really good at geography. This was a person. He wore bow ties. This was a person. He had a bunch of tattoos. This was a person. He  got a terrible haircut a few days ago and shaved  his  head to escape from it. This was a person. He had an unfortunate nickname. This was a person. He had a twin. He  was a virgin. This was a person. She  was sort of selfish in bed. She was an awful driver. This was a person. He has a suit at the cleaners. He was a secret Buddahist. This was a person. He always brought reusable bags into the store. This was a person. He  was a translator. This was a person. He had a baby boy. This was a person. She  collected figurines. This was a person. She sang at parties. This was a person. She  was a DJ. She just had  her car stereo repaired. This was a person. She was afraid of heights. This was a person. She  was awaiting judgement for a DUI last month. This was a person. He had a lot of music on vinyl. This was a person. She loved chocolate. This was a person. She can't watch the end of T2 without crying This was a person. He did not sleep with a pillow. He taught guitar. This was a person. She ate a lot of fiber. This was a person. He was afraid of the water. He had an awesome home theatre. This was a person. He was always in a hurry. This was a person. She  had been having trouble tying  her shoes because  she  pulled a muscle in her abs. She  only ever had sex with one person. This was a person. She  scalped tickets This was a person. He could play cricket. This was a person. He was a Mac evangelist. This was a person. She could play harmonica. She always brought reusable bags into the store. This was a person. He loved Elvis. He was thrifty. This was a person. She  was learning to use CAD software. This was a person. She could play harmonica. This was a person. He played a lot of social card games.  This was a person. She didn't have a family. This was a person. She was a crossword whiz. This was a person. She  was a virgin. This was a person. He loved to fish. This was a person. He wanted to learn magic. He was polite to telemarketers. This was a person. She had a lot of shoes. This was a person. She loved to fish. She was a glassblower. This was a person. He was afraid of heights. This was a person. She didn't get along with animals. This was a person. She knew a lot of cops. This was a person. He was very careful about conserving gasoline. This was a person. She played a lot of social card games.  This was a person. She knew how to get free satelittle television. This was a person. She ate the food at convenience stores. She helped strangers. This was a person. He was a glassblower. This was a person. He was afraid of the water. This was a person. He  was a DJ. This was a person. She  finished reading all of the works of Homer. This was a person. She didn't have a family. This was a person. She  called in sick to work 9 times last month and was written up at work. This was a person. She was homophobic. This was a person. She  kept buying vegetables, even though they always just went bad in  her fridge. This was a person. He ate a lot of chinese food. This was a person. She was rough and tumble. This was a person. She  was a virgin. This was a person. He loved chocolate. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. This was a person. She was 4 days sober. This was a person. She had an awesome home theatre. This was a person. She was rebuilding an engine. This was a person. She  went to church. She had braces on  her  teeth.

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