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 had been having trouble tying his shoes because he pulled a muscle in his abs.

This was a person. He had a personal injury lawsuit working its way through the courts.

This was a person. She was a DJ.

This was a person. He was polite to salesmen.

This was a person. He was afraid of flying.

This was a person. He just had his car stereo repaired.

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

This was a person. She always had gum.

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

This was a person. He never finished the book club book.

This was a person. He loved to make out. He was a trivia master.

This was a person. She was divorced. She snored.

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

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

This was a person. He was a historian. He was kind of addicted to ebay.

This was a person. She ate a lot of chinese food. She was sporty.

This was a person. He had been having trouble tying his shoes because he pulled a muscle in his abs.

This was a person. He was a teacher.

This was a person. She had an awesome home theatre. She could fall asleep anywhere.

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

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

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

This was a person. She was a poet.

This was a person. She never carried cash.

This was a person. She was divorced.

This was a person. She was a virgin.

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

This was a person. She did not own a fridge.

This was a person. She was good at job interviews.

This was a person. He had a gun. He was a skilled woodcarver.

This was a person. She didn't get along with animals. She made scrapbooks.

This was a person. He was a street vendor.

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

This was a person. He made scrapbooks.

This was a person. He had braces on his teeth. He never raised hisvoice.

This was a person. He was homophobic.

This was a person. She sang at parties.

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

This was a person. She went to the horseraces.

This was a person. She could play trumpet.

This was a person. He was a hoarder.

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

This was a person. She had crazy hair colors.

This was a person. She was homophobic. She never drank coffee.

This was a person. She wore Spandex.

This was a person. She was a dog person.

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

This was a person. He ate a lot of chinese food.

This was a person. He dropped his work laptop last week, destroyed it and couldn't sleep for days. He always bought flowers for his desk.

This was a person. He constantly wore sunglasses. He was allergic to peanuts.

This was a person. She never ate breakfast.

This was a person. He was a teacher.

This was a person. He was gluten intolerant. He loved nachos.

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

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

This was a person. He was a tailor.

This was a person. He was kind of an awesome lover.

This was a person. She was homophobic.

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

This was a person. She had a green thumb.

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

This was a person. She had a lot of music on vinyl.

This was a person. She could fix anything.

This was a person. She never carried cash. She knew a lot of cops.

This was a person. He was kind of an awesome lover.

This was a person. He was a vegetarian.

This was a person. She was a virgin.

This was a person. He could juggle.

This was a person. She loved chocolate.

This was a person. She had an unfortunate nickname.

This was a person. She kept to herself mostly

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

This was a person. She was a DJ.

This was a person. He just had the bandages removed from plastic surgery.

This was a person. He was good at job interviews.

This was a person. He was a mason.

This was a person. He was sporty.

This was a person. She was a wedding photographer.

This was a person. She did open mike. She was rebuilding an engine.

This was a person. She always had gum.

This was a person. She played World of Warcraft She was obsessed with sitcoms.

This was a person. He was very careful about conserving gasoline.

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

This was a person. He never carried cash.

This was a person. He could play trumpet.

This was a person. She was left-handed.

This was a person. She was kind of addicted to ebay.

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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