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 ate a lot of hot dogs. She always brought reusable bags into the store. This was a person. She went to the horseraces. This was a person. She was afraid of heights. She loved Elvis. This was a person. She ate a lot of fiber. She was very careful about conserving gasoline. This was a person. She occasionally shop lifted. She helped the widow next door. This was a person. She took a lot of photos. She snored. This was a person. He was a secret Buddahist. This was a person. She loved chocolate. She grew up on a farm.  This was a person. He can't watch the end of T2 without crying This was a person. She was allergic to peanuts. This was a person. She  collected figurines. This was a person. He  was afraid of flying. This was a person. He was sporty. This was a person. He never finished the book club book. This was a person. She snored. This was a person. She had tropical fish. 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 was afraid of the water. This was a person. He had a green thumb. He played chess. This was a person. She overtipped. This was a person. He had a lot of music on vinyl. This was a person. She was a scout leader.  This was a person. He was a skilled woodcarver. This was a person. She was lactose intolerant. This was a person. He threw a lot of parties. He could play harmonica. This was a person. He was divorced. This was a person. She  went to church. This was a person. He loved to fish. This was a person. He wrote for the newspaper. This was a person. She loved cigarettes. This was a person. He ate a lot of fish. This was a person. He has four overdue books.  This was a person. She was lactose intolerant. This was a person. She had long fingernails. This was a person. She smoked pot at music festivals. This was a person. She chewed gum constantly. This was a person. He was a good dancer. He was sporty. This was a person. She  was learning to speak French. This was a person. He knew a lot of cops. This was a person. He  was a translator. This was a person. He was rebuilding an engine. This was a person. He  went to church. This was a person. She abused cars. She helped strangers. This was a person. She brought great food to social gatherings. This was a person. She  was a mason. This was a person. She was good at job interviews. She ate a lot of fiber. This was a person. She wore a lot of jewelry. This was a person. She loved oreos. This was a person. She didn't get along with animals. This was a person. He  was a historian. He was afraid of heights. This was a person. He never finished the book club book. This was a person. She had a green thumb. This was a person. He was a Mac evangelist. He taught guitar. This was a person. He loved chocolate. This was a person. He  was a drunk. This was a person. She  loved to make out. She  was a street vendor. This was a person. He could play banjo. This was a person. She was very careful about conserving gasoline. This was a person. She  dropped her work laptop last week, destroyed it and couldn't sleep for days. This was a person. She made  her  own beer and was kind of stingy with it. She never carried cash. This was a person. He ate a lot of raisins. This was a person. She helped people. This was a person. She ate the food at convenience stores. She abused cars. This was a person. She went to the horseraces. This was a person. He was working  his  way through all of the shows on Netflix. This was a person. She had a bunch of cameras. She was lactose intolerant. This was a person. She made pie. This was a person. She  only ever had sex with one person. She made  her  own beer and was kind of stingy with it. This was a person. She could juggle. She ate a lot of fiber. This was a person. She talked during movies. This was a person. She smoked pot at music festivals. This was a person. She  had a personal injury lawsuit working its way through the courts. She was always in a hurry. This was a person. She  finished reading all of the works of Homer. This was a person. She was lactose intolerant. She could play cricket. This was a person. He ate a lot of kale. This was a person. He grew up on a farm.  This was a person. She lived on breakfast bars. She ate a lot of chinese food. This was a person. He just had the bandages removed from  plastic surgery. This was a person. He had a sexy phone voice. This was a person. She  was a pharmacist. This was a person. She  was learning to speak French. This was a person. He  was awaiting judgement for a DUI last month. This was a person. She  got a terrible haircut a few days ago and shaved  her  head to escape from it. She  scalped tickets This was a person. She loved wine. She always had gum. This was a person. She was a good dancer. This was a person. She had an unfortunate nickname. This was a person. He  scalped tickets This was a person. He  loved to make out. He  was a DJ. This was a person. She loved cigarettes. This was a person. She was thrifty. She could play banjo. This was a person. He wore a lot of jewelry. This was a person. He was living with his sister. This was a person. He  was awaiting judgement for a DUI last month. This was a person. He  played soccer every weekend. This was a person. She had just paid a crapload of money to get    teeth fixed. This was a person. She knew how to get free satelittle television. This was a person. He  collected figurines. This was a person. He was a secret Buddahist. This was a person. He was lactose intolerant. This was a person. He had crazy hair colors. This was a person. He just had  his car stereo repaired. This was a person. She  loved to make out. This was a person. He  only ever had sex with one person. This was a person. He made  his  own beer and was kind of stingy with it. This was a person. She could fix anything. This was a person. He was a vegetarian. He was lactose intolerant. This was a person. She could play cricket. This was a person. She was a wedding photographer. This was a person. He was a wedding photographer. This was a person. He  was a virgin. This was a person. He picked up litter.  This was a person. She knew a lot of cops. She loved to fish. This was a person. He was cockeyed. This was a person. He  was a pharmacist. This was a person. She occasionally shop lifted. This was a person. She wanted to learn magic. This was a person. He  got a terrible haircut a few days ago and shaved  his  head to escape from it. He  went to church. This was a person. He helped people. This was a person. She had extensions. This was a person. He sang. He had crazy hair colors.

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