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. She was a street vendor.

This was a person. He collected figurines.

This was a person. She occasionally shop lifted.

This was a person. He had an unfortunate nickname.

This was a person. He always wore a hat.

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

This was a person. She loved chocolate.

This was a person. She was a pharmacist.

This was a person. She couldn't grow a mustache. She had a lot of Beatles records.

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

This was a person. He was left-handed.

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

This was a person. She had VD.

This was a person. He was a vegetarian. He wanted to learn magic.

This was a person. She wore Spandex. She picked up litter.

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

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

This was a person. He always wore a hat. He had crazy hair colors.

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

This was a person. He was a cat person.

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

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

This was a person. She was sporty.

This was a person. He was a plumber.

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

This was a person. He never carried cash.

This was a person. He made pie. He wanted to learn magic.

This was a person. She was a teacher.

This was a person. He sang.

This was a person. He snored. He sang.

This was a person. He had a hangover yesterday.

This was a person. She had tropical fish.

This was a person. She was a cheapskate.

This was a person. She was a wedding photographer.

This was a person. He was polite to telemarketers.

This was a person. He was lactose intolerant.

This was a person. He slept around.

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

This was a person. She plays fantasy football.

This was a person. He went to church.

This was a person. She had VD.

This was a person. He was sporty.

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. He sang. He was the unofficial relationship guru among friends.

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

This was a person. He was a cheapskate. He helped strangers.

This was a person. She never drank coffee.

This was a person. She had extensions.

This was a person. He was an expert barbecuer.

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

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

This was a person. He wore earphones all the time.

This was a person. She was polite to telemarketers.

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

This was a person. He talked during movies. He was divorced.

This was a person. She sang.

This was a person. He was lactose intolerant.

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

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

This was a person. She was a Mac evangelist.

This was a person. He could always get tickets.

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

This was a person. She was a virgin.

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

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

This was a person. She was afraid of heights.

This was a person. She always wore a hat. She had an unfortunate nickname.

This was a person. He never raised hisvoice. He was a vegetarian.

This was a person. She did open mike.

This was a person. She collected figurines.

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 allergic to peanuts. He ate a lot of hot dogs.

This was a person. She was cockeyed.

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

This was a person. She loved pot.

This was a person. He loved to make out.

This was a person. He once robbed a bank.

This was a person. He could play cricket.

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

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

This was a person. He helped people.

This was a person. She constantly wore sunglasses.

This was a person. He abused cars.

This was a person. He never raised hisvoice. He was a vegetarian.

This was a person. He was a translator. He loved James Bond movies.

This was a person. He was homophobic. He could play cricket.

This was a person. He had VD.

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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