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. 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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