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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  always bought flowers for  her  desk. This was a person. She always brought lunch. This was a person. She snored. She did not own a fridge. This was a person. He had a bunch of tattoos. This was a person. She had crazy hair colors. She ate the food at convenience stores. This was a person. She helped strangers. This was a person. He had a lot of shoes. This was a person. She was cockeyed. She had a sexy phone voice. This was a person. He once robbed a bank. This was a person. She kept to herself mostly This was a person. He  played soccer every weekend. This was a person. He did not own a fridge. This was a person. She always made the mashed potatoes at family get-togethers. This was a person. He ate the food at convenience stores. He chewed nicotine gum. This was a person. She had tropical fish. This was a person. He  was a poet. He loved James Bond movies. This was a person. He occasionally shop lifted. This was a person. She could fall asleep anywhere. 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 lactose intolerant. This was a person. She was very careful about conserving gasoline. This was a person. He couldn't grow a mustache. This was a person. She once robbed a bank. This was a person. He  was a historian. This was a person. She had tropical fish. This was a person. He was polite to telemarketers. He survived cancer. This was a person. He was polite to salesmen. This was a person. He was rough and tumble. He ate the food at convenience stores. This was a person. He wore a lot of jewelry. He had a lot of music on vinyl. This was a person. He did not own a fridge. This was a person. He  volunteered at a middle school, because  he  had a crush on one of the other tutors. He  did open mike. This was a person. She had a podcast. This was a person. He never ate breakfast. This was a person. He could play harmonica. This was a person. She had just paid a crapload of money to get    teeth fixed. This was a person. He loved to fish. This was a person. He knew a lot of cops. This was a person. He  was learning to use CAD software. This was a person. He wore earphones all the time. This was a person. She knew a lot of cops. This was a person. He had an awesome home theatre. He lived on breakfast bars. This was a person. He  was a plumber. This was a person. He loved Elvis. This was a person. He was homophobic. This was a person. She couldn't grow a mustache. This was a person. She overtipped. She was an expert barbecuer. This was a person. She loved nachos. This was a person. He was homophobic. This was a person. He led the choir. This was a person. He survived cancer. This was a person. He  could always get tickets. He was rebuilding an engine. This was a person. He brought great food to social gatherings. This was a person. He always brought lunch. This was a person. He  was learning to speak French. 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. She was afraid of the water. This was a person. She was very careful about conserving gasoline. This was a person. She had a baby boy. This was a person. She  had a personal injury lawsuit working its way through the courts. This was a person. She wore a lot of hats.  This was a person. He got thrown off of a golf course. This was a person. She had an awesome home theatre. She played piano. This was a person. She  loved to make out. This was a person. She has four overdue books.  This was a person. He was the richest of  his friends. He chewed gum constantly. This was a person. He occasionally shop lifted. This was a person. She could play harmonica. This was a person. She loved chocolate. This was a person. She had a bunch of tattoos. This was a person. He picked up litter.  This was a person. He had a bunch of tattoos. This was a person. She played World of Warcraft She excelled at woodworking. This was a person. She threw a lot of parties. This was a person. He could play harmonica. This was a person. He  had been having trouble tying  his shoes because  he  pulled a muscle in his abs. He  was a mason. This was a person. He was a trivia master. 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 tutored kids. This was a person. He  was a pharmacist. This was a person. She  had a hangover yesterday. This was a person. She  was a teacher. She wore a lot of jewelry. This was a person. She  was learning to use CAD software. This was a person. She was kind of addicted to ebay. She constantly wore sunglasses. This was a person. He  was sort of selfish in bed. This was a person. She always made the mashed potatoes at family get-togethers. She  was a virgin. This was a person. He  was a street vendor. This was a person. She ate a lot of hot dogs.

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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