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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 did not own a fridge. This was a person. He always had a clean car. He tutored kids. This was a person. He loved oreos. This was a person. She grew up on a farm.  This was a person. He was homophobic. This was a person. She had a lot of Beatles records. This was a person. He was an expert barbecuer. He had lice. This was a person. He could play trumpet. This was a person. She was an expert barbecuer. This was a person. She was a cheapskate. She had a lot of shoes. This was a person. She never raised  hervoice. This was a person. He was rebuilding an engine. He had braces on  his  teeth. This was a person. She plays fantasy football. She excelled at woodworking. This was a person. He  had a personal injury lawsuit working its way through the courts. This was a person. He could play trumpet. This was a person. He chewed nicotine gum. He has a music afficianado. This was a person. She  always bought flowers for  her  desk. This was a person. She snored. She ate a lot of hot dogs. This was a person. He  was playing nine games of Words with Friends on  his  phone. This was a person. He never drank coffee. He kept to himself mostly This was a person. He loved pot. He was left-handed. This was a person. She spends a lot of time watching tennis. She occasionally shop lifted. This was a person. She wore Spandex. This was a person. He was lactose intolerant. This was a person. He was a cat person. This was a person. He was lactose intolerant. This was a person. He always made the mashed potatoes at family get-togethers. He  was sleeping with  his  ex. This was a person. She was kind of addicted to ebay. She talked during movies. This was a person. She made  her  own beer and was kind of stingy with it. This was a person. She made scrapbooks. This was a person. He  did open mike. This was a person. She was 4 days sober. She  was learning to use CAD software. This was a person. She was a secret Buddahist. This was a person. She  went to church. She loved James Bond movies. This was a person. She was lactose intolerant. This was a person. She spends a lot of time watching tennis. This was a person. She  was afraid of flying. This was a person. She was cockeyed. This was a person. He was a dog person. This was a person. She could juggle. This was a person. She  finished reading all of the works of Homer. This was a person. He was divorced. This was a person. She went to the horseraces. She knew how to get free satelittle television. This was a person. He smoked pot at music festivals. He has a music afficianado. This was a person. He slept around. This was a person. She  was a street vendor. This was a person. He was allergic to peanuts. He ate a lot of raisins. This was a person. She took a lot of photos. This was a person. She spent a lot of time with old people. This was a person. She could play harmonica. She loved pot. This was a person. He  was a street vendor. This was a person. He could play cricket. He sang. This was a person. She got thrown off of a golf course. This was a person. He was an awful driver. This was a person. He  scalped tickets He was always in a hurry. This was a person. He was divorced. He loved oreos. This was a person. She was very good at cleaning. This was a person. He  was afraid of flying. This was a person. She could fall asleep anywhere. This was a person. She could play cricket. This was a person. He can't watch the end of T2 without crying This was a person. She  had a personal injury lawsuit working its way through the courts. She  was a plumber. This was a person. He constantly wore sunglasses. This was a person. He  was training to run a marathon. This was a person. He was always in a hurry. This was a person. He ate a lot of raisins. This was a person. He  could always get tickets. This was a person. He could fall asleep anywhere. He threw a lot of parties. This was a person. He loved fine dining. This was a person. He could play banjo. He did not own a fridge. This was a person. He was a skilled woodcarver. This was a person. She lived on breakfast bars. This was a person. He wore bow ties. He was diabetic. This was a person. She was an expert barbecuer. This was a person. He picked up litter.  This was a person. He knew how to get free satelittle television. This was a person. She was the unofficial relationship guru among   friends. She was cockeyed. This was a person. She loved James Bond movies. This was a person. He was polite to salesmen. This was a person. He loved to fish. This was a person. He had crazy hair colors. This was a person. He slept around. He wore a lot of hats.  This was a person. She just had  her car stereo repaired. This was a person. He excelled at woodworking. This was a person. She was a secret Buddahist. She never drank coffee. This was a person. She talked during movies. This was a person. She never finished the book club book.

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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