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 ate a lot of chinese food.

This was a person. She was cockeyed.

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

This was a person. She played chess.

This was a person. She had long fingernails. She had crazy hair colors.

This was a person. She was a cheapskate. She was good to people.

This was a person. He did open mike.

This was a person. She had a green thumb.

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

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

This was a person. She occasionally shop lifted.

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

This was a person. She was afraid of heights.

This was a person. He scalped tickets

This was a person. He sang.

This was a person. He loved chocolate. He was the unofficial relationship guru among friends.

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 was a drunk.

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

This was a person. He was a virgin.

This was a person. He never carried cash.

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

This was a person. She did open mike.

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

This was a person. He had a podcast.

This was a person. He taught guitar.

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

This was a person. He looked like a cartoon.

This was a person. He survived cancer.

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

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

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

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

This was a person. He led the choir.

This was a person. She made her own beer and was kind of stingy with it.

This was a person. She played piano.

This was a person. She loved chocolate.

This was a person. She was rough and tumble. She has four overdue books.

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

This was a person. She constantly wore sunglasses.

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

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

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

This was a person. He has a suit at the cleaners. He had an awesome home theatre.

This was a person. She was a scout leader.

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

This was a person. He was a tailor.

This was a person. She was the unofficial relationship guru among friends.

This was a person. She abused cars.

This was a person. He loved to fish.

This was a person. He was a pharmacist.

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

This was a person. He did open mike.

This was a person. She could play cricket.

This was a person. She wore Spandex.

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

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

This was a person. She did open mike.

This was a person. He helped people.

This was a person. She was sleeping with her ex.

This was a person. She sang.

This was a person. She abused cars. She was diabetic.

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

This was a person. He had tropical fish.

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

This was a person. He had a baby boy.

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

This was a person. He was a skilled woodcarver. He was a vegetarian.

This was a person. He had a gun.

This was a person. He snored.

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

This was a person. He was a tailor. He never carried cash.

This was a person. She loved cigarettes.

This was a person. She was a scout leader. She was good to people.

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

This was a person. He was a good dancer. He had an unfortunate nickname.

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

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

This was a person. He led the choir. He was balding.

This was a person. He was sporty. He had just paid a crapload of money to get teeth fixed.

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

This was a person. She was polite to telemarketers.

This was a person. He could juggle.

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

This was a person. He was rough and tumble. He has four overdue books.

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

This was a person. She was an awful driver.

This was a person. She took careful notes after every meal.

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

This was a person. She had a lot of Beatles records. She always brought lunch.

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

This was a person. She talked during movies.

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

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

This was a person. She was a cat person.

This was a person. She had a baby boy.

This was a person. She looked like a cartoon.

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

This was a person. He ate a lot of hot dogs. He always wore a hat.

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

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

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

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

This was a person. He could play trumpet. He wore Spandex.

This was a person. He scalped tickets

This was a person. She was a historian.

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

This was a person. He was a crossword whiz.

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

This was a person. She was a mason.

This was a person. He was thrifty.

This was a person. He was a plumber.

This was a person. He looked like a cartoon.

This was a person. She always brought lunch. She snored.

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

This was a person. She had been having trouble tying her shoes because she pulled a muscle in her abs. She had a personal injury lawsuit working its way through the courts.

This was a person. She occasionally shop lifted.

This was a person. He loved to fish.

This was a person. He could play banjo.

This was a person. He took a lot of photos. He wanted to learn magic.

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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