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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 kept to himself mostly This was a person. He  was sleeping with  his  ex. This was a person. She always brought reusable bags into the store. This was a person. He  was afraid of flying. This was a person. She was polite to telemarketers. She always wore a hat. 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  called in sick to work 9 times last month and was written up at work. 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. He loved fine dining. This was a person. She played a lot of social card games.  She has four overdue books.  This was a person. She had a bunch of cameras. This was a person. He has a suit at the cleaners. He never raised  hisvoice. This was a person. He was always in a hurry. This was a person. He had a twin. He  was learning to use CAD software. This was a person. He has two living parents. This was a person. She spent a lot of time with old people. She couldn't stand having the air-conditioner blow on   herself . This was a person. He took a lot of photos. He was lactose intolerant. This was a person. She loved to fish. This was a person. She  was a pharmacist. This was a person. She occasionally shop lifted. This was a person. She was homophobic. This was a person. She constantly wore sunglasses. This was a person. She  was a teacher. This was a person. He loved nachos. This was a person. He had a bunch of tattoos. This was a person. He  went to church. This was a person. He spent a lot of time with old people. This was a person. He never carried cash. This was a person. She was a cat person. This was a person. He didn't get along with animals. This was a person. She wore a lot of hats.  She has four overdue books.  This was a person. He did not sleep with a pillow. 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 an unfortunate nickname. She played a lot of social card games.  This was a person. He smoked pot at music festivals. This was a person. She played a lot of social card games.  This was a person. She had a gun. This was a person. She helped people. This was a person. He had a lot of Beatles records. This was a person. She could play banjo. This was a person. He  was a poet. This was a person. She always brought lunch. This was a person. She was allergic to peanuts. This was a person. She  was a virgin. She  had a personal injury lawsuit working its way through the courts. This was a person. She was rebuilding an engine. This was a person. She had an awesome home theatre. She watched a lot of sports on TV, but never played them  herself. This was a person. He was rebuilding an engine. This was a person. She  had a hangover yesterday. This was a person. She abused cars. This was a person. She always had gum. This was a person. He never carried cash. This was a person. He  was a tailor. This was a person. He was always in a hurry. This was a person. She played World of Warcraft She loved museums. This was a person. She loved pot. This was a person. She  could always get tickets. This was a person. She was a secret Buddahist. She never drank coffee. This was a person. She  loved to make out. This was a person. He was a wedding photographer. This was a person. She wore Spandex. This was a person. He was a glassblower. This was a person. She didn't have a family. This was a person. She had a gun. This was a person. He loved cigarettes. This was a person. He wanted to learn magic. This was a person. He always brought lunch. He was a wedding photographer. This was a person. She  was a historian. She had braces on  her  teeth. This was a person. He was a glassblower. This was a person. She  only ever had sex with one person. This was a person. She  was a translator. This was a person. He was good to people. He had lice. This was a person. She loved Elvis. This was a person. She was good to people. This was a person. She was polite to telemarketers. This was a person. She was working  her  way through all of the shows on Netflix. This was a person. She loved wine. This was a person. She loved pot. This was a person. She prefered bread without crusts. This was a person. She  only ever had sex with one person. This was a person. She has four overdue books.  This was a person. He helped people. This was a person. He  was playing nine games of Words with Friends on  his  phone. This was a person. She was a cat person. This was a person. She slept around. This was a person. She had an awesome home theatre. This was a person. He was allergic to peanuts. He always wore a hat. This was a person. She sang at parties. She led the choir.

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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