Mountain Meadows massacre Tragedy Casualties Visualization Tool - Cockeyed.com

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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 was a cheapskate.

This was a person. He was a secret Buddahist. He had tropical fish.

This was a person. He loved to make out.

This was a person. He loved fine dining.

This was a person. He had a podcast.

This was a person. He kept to himself mostly

This was a person. He had been having trouble tying his shoes because he pulled a muscle in his abs. He was a translator.

This was a person. He was a teacher.

This was a person. He played World of Warcraft He was diabetic.

This was a person. He had a baby boy. He was a teacher.

This was a person. She plays fantasy football. She was convinced he was color blind.

This was a person. He was an expert barbecuer.

This was a person. She went to church. She loved James Bond movies.

This was a person. She chewed gum constantly.

This was a person. She loved pot.

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

This was a person. He loved wine.

This was a person. She could play trumpet. She was a hoarder.

This was a person. She had long fingernails.

This was a person. He plays fantasy football.

This was a person. She was an expert barbecuer.

This was a person. He played World of Warcraft He helped strangers.

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

This was a person. He had a bunch of cameras. He sang.

This was a person. He wore a lot of jewelry. He wore earphones all the time.

This was a person. He had an unfortunate nickname. He chewed nicotine gum.

This was a person. She helped strangers.

This was a person. He was a vegetarian.

This was a person. He did open mike.

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

This was a person. She had just paid a crapload of money to get teeth fixed. She loved rollerblading.

This was a person. He ate a lot of fish. He prefered bread without crusts.

This was a person. He was a street vendor.

This was a person. She was 4 days sober.

This was a person. She had a lot of shoes.

This was a person. He had extensions.

This was a person. She was a translator.

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

This was a person. He did open mike.

This was a person. She loved chocolate.

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

This was a person. She threw a lot of parties.

This was a person. He was a translator.

This was a person. He was a translator.

This was a person. He chewed gum constantly.

This was a person. She was good at job interviews.

This was a person. She was afraid of the water. She wore earphones all the time.

This was a person. She was a drunk.

This was a person. He could always get tickets.

This was a person. He helped people.

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

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

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

This was a person. She wore a lot of hats. She spent a lot of time with old people.

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

This was a person. He scalped tickets

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

This was a person. She threw a lot of parties.

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

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

This was a person. She was divorced. She kept to herself mostly

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

This was a person. She played World of Warcraft

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

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

This was a person. He helped people.

This was a person. She survived cancer.

This was a person. He loved to fish.

This was a person. He snored.

This was a person. She was polite to salesmen.

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

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

This was a person. He had a green thumb.

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

This was a person. He survived cancer.

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

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

This was a person. He was a plumber. He made his own beer and was kind of stingy with it.

This was a person. He played piano.

This was a person. She was polite to salesmen.

This was a person. She was divorced.

This was a person. She was a cheapskate.

This was a person. He excelled at woodworking.

This was a person. She took a lot of photos. She was allergic to peanuts.

This was a person. He had an unfortunate nickname.

This was a person. He was very good at cleaning.

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

This was a person. She was a pharmacist.

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

This was a person. She had a lot of shoes. She never answered the phone.

This was a person. She plays fantasy football.

This was a person. He was a cheapskate.

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

This was a person. She loved chocolate.

This was a person. He could play trumpet.

This was a person. She was a mason. She was a Mac evangelist.

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

This was a person. She was a drunk.

This was a person. She made scrapbooks.

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

This was a person. She got out of jail two years ago and never reunited with her family. She was sort of selfish in bed.

This was a person. He was very good at cleaning.

This was a person. She had bonsai trees.

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

This was a person. She played World of Warcraft She had a sexy phone voice.

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

This was a person. She dropped her work laptop last week, destroyed it and couldn't sleep for days. She was learning to use CAD software.

This was a person. He played World of Warcraft

This was a person. She had a podcast.

This was a person. He was a drunk.

This was a person. She was afraid of flying.

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

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

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

This was a person. She went to church. She had a lot of Beatles records.

This was a person. She was a skilled woodcarver.

This was a person. He was an awful driver.

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

This was a person. She could fix anything.

This was a person. She has two living parents.

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.

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