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 was a historian.

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

This was a person. She was a historian.

This was a person. She helped strangers.

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

This was a person. He was a skilled woodcarver.

This was a person. She was a good dancer. She was cockeyed.

This was a person. He had bonsai trees.

This was a person. She had an unfortunate nickname.

This was a person. He picked up litter. He was an expert barbecuer.

This was a person. She could fix anything.

This was a person. She had a baby boy.

This was a person. He brought great food to social gatherings. He could play trumpet.

This was a person. She was a cheapskate. She once robbed a bank.

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

This was a person. She scalped tickets

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

This was a person. She knew a lot of cops. She did not sleep with a pillow.

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

This was a person. She knew how to get free satelittle television. She loved museums.

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

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

This was a person. She was living with her sister.

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

This was a person. He didn't have a family. He was sleeping with his ex.

This was a person. He loved to fish.

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

This was a person. She was an expert barbecuer.

This was a person. She overtipped.

This was a person. He was a tailor.

This was a person. She was a hoarder.

This was a person. He always made the mashed potatoes at family get-togethers. He only ever had sex with one person.

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

This was a person. He had tropical fish.

This was a person. She went to the horseraces. She had just paid a crapload of money to get teeth fixed.

This was a person. He plays fantasy football.

This was a person. She was a translator.

This was a person. He was a skilled woodcarver.

This was a person. He wrote for the newspaper.

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

This was a person. She was very careful about conserving gasoline. She didn't get along with animals.

This was a person. She made scrapbooks.

This was a person. She helped people.

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

This was a person. He was a trivia master.

This was a person. He was left-handed. He played World of Warcraft

This was a person. She loved nachos.

This was a person. She could always get tickets.

This was a person. She was a historian.

This was a person. He was afraid of heights. He couldn't grow a mustache.

This was a person. She was 4 days sober. She loved to make out.

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

This was a person. She chewed gum constantly.

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

This was a person. He could fall asleep anywhere. He was a vegetarian.

This was a person. He made scrapbooks.

This was a person. She survived cancer.

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

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

This was a person. He always brought lunch.

This was a person. She played World of Warcraft

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

This was a person. She was a cat person.

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

This was a person. She wore Spandex.

This was a person. He was an awful driver.

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

This was a person. She sang at parties. She occasionally shop lifted.

This was a person. He always bought flowers for his desk.

This was a person. She never drank coffee.

This was a person. He constantly wore sunglasses.

This was a person. She loved James Bond movies.

This was a person. He constantly wore sunglasses.

This was a person. She never carried cash.

This was a person. She was allergic to peanuts. She ate a lot of chinese food.

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

This was a person. She was a good dancer.

This was a person. She went to church.

This was a person. She slept around.

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

This was a person. She had VD. She was a translator.

This was a person. He was a cheapskate. He wore bow ties.

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

This was a person. He could play banjo.

This was a person. She could fall asleep anywhere.

This was a person. She scalped tickets

This was a person. He did not own a fridge. He loved fine dining.

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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