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 was a secret Buddahist. He took a lot of photos.

This was a person. She was a glassblower. She could play banjo.

This was a person. He tutored kids.

This was a person. She ate a lot of hot dogs.

This was a person. She was afraid of heights.

This was a person. She loved nachos.

This was a person. She wore bow ties.

This was a person. He had crazy hair colors.

This was a person. He had crazy hair colors.

This was a person. She abused cars.

This was a person. She had crazy hair colors. She wore a lot of hats.

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

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

This was a person. He was a skilled woodcarver. He took a lot of photos.

This was a person. He played chess. He had lice.

This was a person. He never finished the book club book. He ate the food at convenience stores.

This was a person. He sang at parties. He helped strangers.

This was a person. He sang.

This was a person. He chewed gum constantly. He had long fingernails.

This was a person. He lived on breakfast bars.

This was a person. She wrote for the newspaper.

This was a person. She was sort of selfish in bed.

This was a person. He had VD.

This was a person. She scalped tickets She was afraid of heights.

This was a person. She excelled at woodworking.

This was a person. He got thrown off of a golf course.

This was a person. She volunteered at a middle school, because she had a crush on one of the other tutors. She was a virgin.

This was a person. He brought great food to social gatherings.

This was a person. He scalped tickets He was kind of addicted to ebay.

This was a person. She could play cricket.

This was a person. She had a bunch of tattoos.

This was a person. She was a mason.

This was a person. He played World of Warcraft

This was a person. She once robbed a bank.

This was a person. She was afraid of the water.

This was a person. She was afraid of heights.

This was a person. She never carried cash.

This was a person. She was thrifty.

This was a person. She has two living parents.

This was a person. He was polite to telemarketers. He did not own a fridge.

This was a person. She had a podcast.

This was a person. She was a translator.

This was a person. She wore a lot of jewelry. She was a cat person.

This was a person. She was a plumber. She loved James Bond movies.

This was a person. He had a baby boy.

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

This was a person. She was a DJ.

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

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

This was a person. She was a Mac evangelist.

This was a person. She was left-handed.

This was a person. He had tropical fish. He kept to himself mostly

This was a person. She had bonsai trees.

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

This was a person. He watched a lot of sports on TV, but never played them himself.

This was a person. He was kind of addicted to ebay. He was a skilled woodcarver.

This was a person. She was a DJ.

This was a person. She was a pharmacist.

This was a person. He kept to himself mostly

This was a person. He loved chocolate. He was a hoarder.

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

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

This was a person. He loved Elvis. He threw a lot of parties.

This was a person. She was awaiting judgement for a DUI last month.

This was a person. He made his own beer and was kind of stingy with it. He had a lot of Beatles records.

This was a person. She always had a clean car. She sang at parties.

This was a person. She had a gun.

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

This was a person. She was gluten intolerant.

This was a person. She was a skilled woodcarver.

This was a person. He chewed nicotine gum.

This was a person. He spent a lot of time with old people.

This was a person. She wore a lot of hats. She abused cars.

This was a person. He had bonsai trees.

This was a person. He was good to people.

This was a person. She chewed gum constantly.

This was a person. He was a vegetarian.

This was a person. She could play cricket.

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

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

This was a person. She sang at parties.

This was a person. He spent a lot of time with old people.

This was a person. She was working her way through all of the shows on Netflix.

This was a person. He was a virgin.

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

This was a person. He has four overdue books. He had lice.

This was a person. He spent a lot of time with old people. He had lice.

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

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

This was a person. He loved cigarettes.

This was a person. He was lactose intolerant.

This was a person. He was a wedding photographer.

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

This was a person. She was a teacher.

This was a person. She played a lot of social card games.

This was a person. He had a bunch of cameras. He could play cricket.

This was a person. He was a cat person. He was good at job interviews.

This was a person. She was a translator. She was rebuilding an engine.

This was a person. He was polite to telemarketers.

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

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

This was a person. He never carried cash.

This was a person. She was a trivia master. She can't watch the end of T2 without crying

This was a person. He was a tailor.

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

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

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

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

This was a person. He loved to fish. He was homophobic.

This was a person. She was a skilled woodcarver. She chewed gum constantly.

This was a person. She loved nachos.

This was a person. He was polite to telemarketers. He was sporty.

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

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

This was a person. She can't watch the end of T2 without crying She could fall asleep anywhere.

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

This was a person. She loved fine dining.

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

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

This was a person. She was a skilled woodcarver. She had a bunch of cameras.

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