Mountain Meadows massacre Tragedy Casualties Visualization Tool - Cockeyed.com

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 had been having trouble tying his shoes because he pulled a muscle in his abs.

This was a person. He survived cancer.

This was a person. She went to the horseraces. She had a lot of shoes.

This was a person. He was polite to telemarketers.

This was a person. He was a wedding photographer.

This was a person. He wore Spandex.

This was a person. She was the richest of her friends.

This was a person. She was a drunk.

This was a person. He couldn't grow a mustache.

This was a person. He had a twin. He was kind of an awesome lover.

This was a person. She was a translator. She did open mike.

This was a person. She loved nachos.

This was a person. She has four overdue books.

This was a person. He had extensions.

This was a person. She played soccer every weekend.

This was a person. She was training to run a marathon.

This was a person. He was living with his sister.

This was a person. She did not sleep with a pillow.

This was a person. She had been having trouble tying her shoes because she pulled a muscle in her abs.

This was a person. He was a cheapskate.

This was a person. He was a Mac evangelist.

This was a person. She made pie.

This was a person. He was a hoarder.

This was a person. He went to the horseraces.

This was a person. She wanted to learn magic. She was polite to salesmen.

This was a person. He could always get tickets. He had an awesome home theatre.

This was a person. He always bought flowers for his desk.

This was a person. She was kind of addicted to ebay.

This was a person. He didn't get along with animals.

This was a person. He was a DJ.

This was a person. She knew a lot of cops.

This was a person. He volunteered at a middle school, because he had a crush on one of the other tutors. He kept buying vegetables, even though they always just went bad in his fridge.

This was a person. He never raised hisvoice.

This was a person. She was a virgin. She did open mike.

This was a person. He was homophobic.

This was a person. He kept to himself mostly

This was a person. He always brought lunch.

This was a person. She finished reading all of the works of Homer.

This was a person. She helped strangers.

This was a person. She helped people.

This was a person. He was a poet. He played soccer every weekend.

This was a person. She had a lot of music on vinyl.

This was a person. He once robbed a bank.

This was a person. She sang at parties.

This was a person. He was training to run a marathon.

This was a person. He occasionally shop lifted. He was really good at math.

This was a person. She did not sleep with a pillow.

This was a person. She took a lot of photos.

This was a person. He always had gum.

This was a person. She was a plumber.

This was a person. She could fix anything.

This was a person. She plays fantasy football.

This was a person. He always had gum.

This was a person. She ate a lot of kale.

This was a person. She could juggle. She never finished the book club book.

This was a person. She loved Elvis.

This was a person. He always made the mashed potatoes at family get-togethers. He always bought flowers for his desk.

This was a person. He had a lot of music on vinyl.

This was a person. He was a cat person.

This was a person. He loved cigarettes. He looked like a cartoon.

This was a person. She was a mason.

This was a person. She always brought lunch.

This was a person. He was learning to use CAD software.

This was a person. She watched a lot of sports on TV, but never played them herself. She never ate breakfast.

This was a person. He was rebuilding an engine. He had a lot of Beatles records.

This was a person. He had braces on his teeth.

This was a person. He snored.

This was a person. He overtipped.

This was a person. He has two living parents.

This was a person. He ate the food at convenience stores.

This was a person. She tutored kids.

This was a person. He wore a lot of jewelry.

This was a person. He was a hoarder.

This was a person. He didn't get along with animals.

This was a person. He had a personal injury lawsuit working its way through the courts.

This was a person. She loved James Bond movies.

This was a person. She loved to fish. She was divorced.

This was a person. He has four overdue books.

This was a person. He was awaiting judgement for a DUI last month. He was a pharmacist.

This was a person. He got a terrible haircut a few days ago and shaved his head to escape from it. He had VD.

This was a person. He played soccer every weekend.

This was a person. She was always in a hurry.

This was a person. He excelled at woodworking.

This was a person. He got out of jail two years ago and never reunited with his family.

This was a person. He was living with his sister.

This was a person. She was a historian.

This was a person. He excelled at woodworking. He was convinced he was color blind.

This was a person. He was left-handed.

This was a person. She had a sexy phone voice.

This was a person. He was a secret Buddahist.

This was a person. He ate a lot of chinese food.

This was a person. She never finished the book club book.

This was a person. She overtipped.

This was a person. She made pie.

This was a person. She kept to herself mostly

This was a person. He smoked pot at music festivals.

This was a person. He could fall asleep anywhere. He was a vegetarian.

This was a person. He chewed gum constantly.

This was a person. He was a plumber. He was always in a hurry.

This was a person. She had VD.

This was a person. He never drank coffee.

This was a person. He was polite to salesmen. He had an unfortunate nickname.

This was a person. He was living with his sister.

This was a person. He played World of Warcraft

This was a person. She could play cricket. She loved wine.

This was a person. She never finished the book club book.

This was a person. She was rebuilding an engine.

This was a person. She loved James Bond movies.

This was a person. He wore earphones all the time.

This was a person. He once robbed a bank.

This was a person. She got a terrible haircut a few days ago and shaved her head to escape from it.

This was a person. He sang at parties.

This was a person. She always had a clean car.

This was a person. He prefered bread without crusts. He was very good at cleaning.

This was a person. He was a virgin.

This was a person. He was a street vendor.

This was a person. She did open mike.

This was a person. She was a plumber.

This was a person. He helped people.

This was a person. He loved oreos.

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