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 had a lot of Beatles records.

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

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

This was a person. He was a dog person.

This was a person. He chewed gum constantly.

This was a person. He was gluten intolerant.

This was a person. He had an unfortunate nickname. He played World of Warcraft

This was a person. She scalped tickets

This was a person. He has a suit at the cleaners.

This was a person. She had a hangover yesterday.

This was a person. He went to the horseraces. He played World of Warcraft

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

This was a person. She plays fantasy football.

This was a person. He prefered bread without crusts. He sang.

This was a person. He was a mason. He was a crossword whiz.

This was a person. She taught guitar.

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

This was a person. He has a suit at the cleaners.

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

This was a person. She never raised hervoice.

This was a person. He loved to fish. He had tropical fish.

This was a person. She was gluten intolerant. She loved cigarettes.

This was a person. She spends a lot of time watching tennis. She had a sexy phone voice.

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

This was a person. She talked during movies.

This was a person. He abused cars.

This was a person. He loved James Bond movies.

This was a person. He survived cancer.

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

This was a person. He abused cars. He loved MASH.

This was a person. He could fall asleep anywhere. He took a lot of photos.

This was a person. She chewed nicotine gum.

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

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

This was a person. She loved pot. She just had the bandages removed from plastic surgery.

This was a person. She had bonsai trees.

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

This was a person. He slept around.

This was a person. He had a twin.

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

This was a person. He was training to run a marathon. He loved to make out.

This was a person. He was a good dancer. He led the choir.

This was a person. She was an awful driver.

This was a person. She prefered bread without crusts. She loved nachos.

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

This was a person. She could play banjo.

This was a person. He loved chocolate.

This was a person. He was living with his sister.

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

This was a person. She always brought lunch. She was gluten intolerant.

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

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

This was a person. She could fix anything. She played piano.

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

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

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

This was a person. She was a plumber.

This was a person. He taught guitar. He had a bunch of cameras.

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

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

This was a person. He could play harmonica. He loved nachos.

This was a person. He was a cheapskate.

This was a person. She was an expert barbecuer.

This was a person. She could play banjo.

This was a person. He was left-handed.

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

This was a person. She was a skilled woodcarver.

This was a person. She was a teacher.

This was a person. She had been having trouble tying her shoes because she pulled a muscle in her abs.

This was a person. She had tropical fish.

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

This was a person. He never carried cash. He had tropical fish.

This was a person. She was the richest of her friends.

This was a person. He was divorced.

This was a person. He was homophobic.

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

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

This was a person. She was the richest of her friends.

This was a person. She scalped tickets

This was a person. She chewed nicotine gum.

This was a person. She chewed gum constantly.

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

This was a person. She plays fantasy football. She couldn't stand having the air-conditioner blow on herself .

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

This was a person. She played World of Warcraft

This was a person. He had an unfortunate nickname.

This was a person. She could always get tickets.

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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