The Happy Land Fire Tragedy Casualties Visualization Tool - Cockeyed.com

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Disaster Casualties Visualization Tool: The Happy Land Fire: 1990

87 Dead Men and Women

The Happy Land fire was an arson fire that killed 87 people trapped in an unlicensed social club, 1990.

This was a person. He called in sick to work 9 times last month and was written up at work.

This was a person. He ate a lot of hot dogs. He slept around.

This was a person. She was a mason.

This was a person. She was a virgin.

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

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

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

This was a person. She loved oreos.

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

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

This was a person. He sang.

This was a person. He was left-handed.

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

This was a person. He was a drunk.

This was a person. She was a hoarder.

This was a person. She has four overdue books.

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

This was a person. She could fall asleep anywhere. She never drank coffee.

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

This was a person. She was a skilled woodcarver. She was thrifty.

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

This was a person. He could play banjo.

This was a person. She could play harmonica.

This was a person. He made pie.

This was a person. He constantly wore sunglasses. He wrote for the newspaper.

This was a person. He went to church.

This was a person. She tutored kids.

This was a person. She got thrown off of a golf course. She had a sexy phone voice.

This was a person. She scalped tickets

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

This was a person. She always wore a hat.

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

This was a person. She wrote for the newspaper. She wanted to learn magic.

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

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

This was a person. He wanted to learn magic.

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

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

This was a person. She never drank coffee.

This was a person. He led the choir. He made scrapbooks.

This was a person. She could play cricket.

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

This was a person. She was afraid of heights.

This was a person. He sang at parties.

This was a person. He kept buying vegetables, even though they always just went bad in his fridge. He was working his way through all of the shows on Netflix.

This was a person. He didn't have a family.

This was a person. He chewed nicotine gum.

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

This was a person. He loved fine dining.

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

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

This was a person. She was polite to salesmen.

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

This was a person. She was learning to speak French.

This was a person. She was 4 days sober.

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

This was a person. He had a lot of shoes. He was an expert barbecuer.

This was a person. He was a tailor.

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

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

This was a person. She was a dog person.

This was a person. He looked like a cartoon.

This was a person. She had a bunch of tattoos. She had braces on her teeth.

This was a person. He loved chocolate.

This was a person. He always brought lunch.

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

This was a person. He was thrifty.

This was a person. He was allergic to peanuts.

This was a person. He was rough and tumble.

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

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

This was a person. He loved pot. He had an unfortunate nickname.

This was a person. She was playing nine games of Words with Friends on her phone. She took careful notes after every meal.

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

This was a person. He had VD.

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

This was a person. He was thrifty.

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

This was a person. He was homophobic.

This was a person. She called in sick to work 9 times last month and was written up at work.

This was a person. He talked during movies.

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

This was a person. She could fall asleep anywhere.

This was a person. He plays fantasy football.

This was a person. He was afraid of flying.

This was a person. He helped strangers.

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

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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