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 was working her way through all of the shows on Netflix. She talked during movies.

This was a person. He had VD.

This was a person. He loved chocolate.

This was a person. She can't watch the end of T2 without crying

This was a person. He loved nachos.

This was a person. She was divorced. She was lactose intolerant.

This was a person. He survived cancer.

This was a person. He occasionally shop lifted.

This was a person. He was homophobic.

This was a person. She was a virgin.

This was a person. He excelled at woodworking. He has a music afficianado.

This was a person. He called in sick to work 9 times last month and was written up at work. He was kind of an awesome lover.

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

This was a person. He could play cricket.

This was a person. She had a gun.

This was a person. She was a dog person.

This was a person. She chewed nicotine gum.

This was a person. He prefered bread without crusts.

This was a person. She sang at parties. She led the choir.

This was a person. She had crazy hair colors.

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 was homophobic.

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

This was a person. She had a sexy phone voice. She never tried gin.

This was a person. She went to the horseraces.

This was a person. She made her own beer and was kind of stingy with it.

This was a person. She was a drunk.

This was a person. He couldn't grow a mustache.

This was a person. He had a hangover yesterday.

This was a person. He kept to himself mostly

This was a person. He had an awesome home theatre.

This was a person. He played soccer every weekend.

This was a person. He survived cancer.

This was a person. She could play harmonica.

This was a person. She was a secret Buddahist.

This was a person. She loved fine dining.

This was a person. He chewed gum constantly. He was gluten intolerant.

This was a person. He wore bow ties.

This was a person. She wore a lot of hats.

This was a person. He was sporty.

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

This was a person. She wore Spandex.

This was a person. She did open mike.

This was a person. He abused cars. He excelled at woodworking.

This was a person. She was a vegetarian.

This was a person. He can't watch the end of T2 without crying

This was a person. He could play banjo. He loved pot.

This was a person. He was a good dancer.

This was a person. He was working his way through all of the shows on Netflix.

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

This was a person. He threw a lot of parties.

This was a person. He was an expert barbecuer. He fixed bikes.

This was a person. He survived cancer.

This was a person. She was left-handed.

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

This was a person. He was afraid of flying.

This was a person. She has four overdue books.

This was a person. She was a DJ.

This was a person. She was a translator.

This was a person. He was a street vendor.

This was a person. He knew how to get free satelittle television. He spent a lot of time with old people.

This was a person. He had an awesome home theatre.

This was a person. She once robbed a bank.

This was a person. He wore earphones all the time.

This was a person. She was homophobic.

This was a person. She had a green thumb.

This was a person. She was a secret Buddahist.

This was a person. She helped people. She loved oreos.

This was a person. He was an expert barbecuer. He was obsessed with sitcoms.

This was a person. He was the unofficial relationship guru among friends. He had an unfortunate nickname.

This was a person. He loved oreos.

This was a person. He abused cars.

This was a person. He was very careful about conserving gasoline. He grew up on a farm.

This was a person. He led the choir.

This was a person. He could juggle.

This was a person. She wore a lot of hats.

This was a person. She abused cars. She was balding.

This was a person. He dropped his work laptop last week, destroyed it and couldn't sleep for days. He scalped tickets

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

This was a person. She loved nachos. She was a good dancer.

This was a person. He occasionally shop lifted. He was balding.

This was a person. He always had gum.

This was a person. She snored.

This was a person. She was a cat person.

This was a person. He survived cancer.

This was a person. He wanted to learn magic.

This was a person. She collected figurines.

View a different tragedy with the Disaster Visualization Tool

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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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