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. She overtipped.

This was a person. He was a poet.

This was a person. He was playing nine games of Words with Friends on his phone.

This was a person. He had an unfortunate nickname.

This was a person. She always bought flowers for her desk.

This was a person. She was a poet.

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

This was a person. She was a wedding photographer.

This was a person. She could play banjo.

This was a person. She always brought reusable bags into the store.

This was a person. He had an awesome home theatre.

This was a person. He was a wedding photographer.

This was a person. She always made the mashed potatoes at family get-togethers.

This was a person. She did not own a fridge.

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

This was a person. He kept buying vegetables, even though they always just went bad in his fridge.

This was a person. He was a skilled woodcarver.

This was a person. She was a poet.

This was a person. He collected figurines.

This was a person. He threw a lot of parties. He ate a lot of hot dogs.

This was a person. He had extensions. He plays fantasy football.

This was a person. She sang. She always had gum.

This was a person. She was playing nine games of Words with Friends on her phone.

This was a person. She was very careful about conserving gasoline.

This was a person. She sang.

This was a person. He sang. He went to the horseraces.

This was a person. He went to the horseraces.

This was a person. She loved nachos.

This was a person. She loved to fish.

This was a person. He just had the bandages removed from plastic surgery.

This was a person. She was a secret Buddahist.

This was a person. He always wore a hat.

This was a person. He was left-handed.

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

This was a person. He was a skilled woodcarver.

This was a person. She wanted to learn magic.

This was a person. She helped strangers. She loved museums.

This was a person. He loved Elvis. He taught guitar.

This was a person. She plays fantasy football.

This was a person. He was a good dancer.

This was a person. He was always in a hurry. He wore earphones all the time.

This was a person. She talked during movies. She taught guitar.

This was a person. She did not own a fridge.

This was a person. She had crazy hair colors.

This was a person. He had a sexy phone voice. He never tried gin.

This was a person. She loved to fish.

This was a person. She could always get tickets.

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

This was a person. He was working his way through all of the shows on Netflix.

This was a person. He was a vegetarian.

This was a person. He was a good dancer. He was rough and tumble.

This was a person. He grew up on a farm.

This was a person. He wore bow ties.

This was a person. She spends a lot of time watching tennis.

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

This was a person. She was homophobic.

This was a person. She got thrown off of a golf course. She once robbed a bank.

This was a person. He wore a lot of hats. He chewed nicotine gum.

This was a person. She had a podcast.

This was a person. She was kind of an awesome lover.

This was a person. He wanted to learn magic.

This was a person. He always brought reusable bags into the store. He had an unfortunate nickname.

This was a person. He just had the bandages removed from plastic surgery.

This was a person. He dropped his work laptop last week, destroyed it and couldn't sleep for days.

This was a person. He sang.

This was a person. He chewed nicotine gum.

This was a person. He led the choir. He played chess.

This was a person. He was a glassblower. He kept to himself mostly

This was a person. She had tropical fish.

This was a person. She was a trivia master.

This was a person. He prefered bread without crusts.

This was a person. He always brought reusable bags into the store.

This was a person. She once robbed a bank.

This was a person. She played chess.

This was a person. He wore bow ties.

This was a person. He could juggle.

This was a person. He was left-handed.

This was a person. She was a wedding photographer. She sang.

This was a person. He played chess.

This was a person. She had a bunch of cameras. She always had a clean car.

This was a person. He never drank coffee. He loved nachos.

This was a person. She loved to make out.

This was a person. She could juggle.

This was a person. He smoked pot at music festivals. He fed the birds.

This was a person. He wanted to learn magic.

This was a person. She was a translator. She just had her car stereo repaired.

This was a person. He was a crossword whiz. He could fix anything.

This was a person. He was an awful driver.

This was a person. He always had gum.

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

This was a person. She constantly wore sunglasses.

This was a person. He had a lot of Beatles records. He lived on breakfast bars.

This was a person. She played soccer every weekend. She was rebuilding an engine.

This was a person. He had a lot of Beatles records.

This was a person. She picked up litter. She loved rollerblading.

This was a person. He could play harmonica.

This was a person. He was rough and tumble.

This was a person. He had crazy hair colors.

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

This was a person. She was afraid of heights.

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

This was a person. He scalped tickets

This was a person. She sang.

This was a person. She was a crossword whiz.

This was a person. He was very good at cleaning. He 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 left-handed.

This was a person. He always had gum.

This was a person. She could play trumpet.

This was a person. He was a crossword whiz. He was a Mac evangelist.

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

This was a person. He was homophobic. He had bonsai trees.

This was a person. He could play trumpet.

This was a person. She had braces on her teeth.

This was a person. He wore Spandex.

This was a person. She was a historian.

This was a person. She loved to fish. She was a skilled woodcarver.

This was a person. He was kind of an awesome lover. He was a pharmacist.

This was a person. She was a dog person.

This was a person. He helped people.

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