Cockeyed.com
How much is Inside?
Pranks!
Community & Citizenship
Height Weight Chart
Science Club
Incredible Stuff
How To Guides
Travel
About
Contact

Disaster Casualties Visualization Tool: Tiananmen Square Massacre: 1992

600 Dead Men and Women

Tianamen Square Massacre, or May 35th, was a result of a military intervention of a students protest in Beijing, China in 1989.

This was a person. He has a suit at the cleaners. This was a person. She couldn't grow a mustache. This was a person. He was allergic to peanuts. This was a person. He could fall asleep anywhere. This was a person. He ate a lot of fish. This was a person. She volunteered at a middle school, because she had a crush on one of the other tutors. This was a person. She was a tailor. She was always in a hurry. This was a person. She could fix anything. This was a person. He ate the food at convenience stores. He has four overdue books. This was a person. He was a translator. This was a person. He always wore a hat. This was a person. She was left-handed. This was a person. She did not own a fridge. This was a person. She always brought reusable bags into the store. This was a person. She was left-handed. This was a person. He was left-handed. He knew how to get free satelittle television. This was a person. She ate a lot of kale. This was a person. She was a dog person. This was a person. She scalped tickets She was a Mac evangelist. This was a person. He always wore a hat. He always had gum. This was a person. She was thrifty. This was a person. He was lactose intolerant. This was a person. He had a bunch of tattoos. This was a person. He loved fine dining. He had just paid a crapload of money to get teeth fixed. This was a person. He was very good at cleaning. This was a person. He always brought reusable bags into the store. He was left-handed. This was a person. She was a drunk. This was a person. He loved fine dining. This was a person. She was a cheapskate. This was a person. He loved chocolate. This was a person. He was a vegetarian. This was a person. She was gluten intolerant. This was a person. She spends a lot of time watching tennis. This was a person. He was learning to use CAD software. This was a person. He got a terrible haircut a few days ago and shaved his head to escape from it. This was a person. She survived cancer. She overtipped. This was a person. He played a lot of social card games. He made scrapbooks. This was a person. She never ate breakfast. This was a person. He was lactose intolerant. This was a person. She was left-handed. This was a person. He abused cars. This was a person. He got out of jail two years ago and never reunited with his family. This was a person. She was working her way through all of the shows on Netflix. This was a person. He was 4 days sober. This was a person. He loved to make out. This was a person. She could play cricket. This was a person. He was good to people. This was a person. She never finished the book club book. This was a person. He took careful notes after every meal. He was a secret Buddahist. This was a person. She was a crossword whiz. This was a person. She was afraid of the water. This was a person. She wore a lot of hats. This was a person. He loved pot. He was a hoarder. This was a person. She was afraid of heights. This was a person. He taught guitar. This was a person. She could play trumpet. This was a person. He was a good dancer. This was a person. She just had her car stereo repaired. This was a person. He abused cars. This was a person. She always brought reusable bags into the store. This was a person. She was a scout leader. She was good to people. This was a person. He was rough and tumble. He sang at parties. This was a person. She had a hangover yesterday. This was a person. He was learning to speak French. This was a person. He overtipped. He was an expert barbecuer. This was a person. He was good to people. He was diabetic. This was a person. He was gluten intolerant. This was a person. He helped people. This was a person. He wore a lot of jewelry. He was a secret Buddahist. This was a person. She was a street vendor. This was a person. She was rough and tumble. This was a person. He could always get tickets. This was a person. She had a bunch of tattoos. This was a person. She loved cigarettes. This was a person. He had been having trouble tying his shoes because he pulled a muscle in his abs. He was a poet. This was a person. She had an unfortunate nickname. She chewed nicotine gum. This was a person. He was good at job interviews. This was a person. She ate a lot of fiber. This was a person. She just had the bandages removed from plastic surgery. She chewed nicotine gum. This was a person. She was a Mac evangelist. She played piano. This was a person. She was afraid of flying. She loved to make out. This was a person. He always brought lunch. This was a person. She threw a lot of parties. This was a person. She snored. This was a person. He was living with his sister. This was a person. She called in sick to work 9 times last month and was written up at work. This was a person. He was a cheapskate. This was a person. He collected figurines. He dropped his work laptop last week, destroyed it and couldn't sleep for days. This was a person. He wore earphones all the time. He always brought lunch. This was a person. He was a vegetarian. This was a person. He had a sexy phone voice. This was a person. She finished reading all of the works of Homer. She was a street vendor. This was a person. She was kind of addicted to ebay. This was a person. He went to the horseraces. He plays fantasy football. This was a person. He was a tailor. This was a person. He got out of jail two years ago and never reunited with his family. He was a virgin. This was a person. She spent a lot of time with old people. She loved rollerblading. This was a person. He had a baby boy. This was a person. He abused cars. This was a person. He sang. This was a person. He plays fantasy football. He chewed nicotine gum. This was a person. He was gluten intolerant. This was a person. She loved chocolate. This was a person. He could play cricket. This was a person. She looked like a cartoon. This was a person. He was sporty. This was a person. She went to the horseraces. This was a person. He never drank coffee. This was a person. She never drank coffee. She ate a lot of chinese food. This was a person. He always made the mashed potatoes at family get-togethers. This was a person. She was a pharmacist. She was a drunk. This was a person. She wrote for the newspaper. She kept to herself mostly This was a person. He helped strangers. This was a person. He was a poet. This was a person. She was a translator. This was a person. He has two living parents. He was playing nine games of Words with Friends on his phone. This was a person. She was a mason. This was a person. She had just paid a crapload of money to get teeth fixed. This was a person. He sang at parties. This was a person. He slept around. This was a person. She was working her way through all of the shows on Netflix. She had a lot of Beatles records. This was a person. She was a DJ. She was afraid of heights. This was a person. She constantly wore sunglasses. She brought great food to social gatherings. This was a person. He survived cancer. He didn't get along with animals. This was a person. She spent a lot of time with old people. She never tried gin. This was a person. He was a hoarder. He had an unfortunate nickname. This was a person. She had a hangover yesterday. This was a person. He was a pharmacist. He was always in a hurry. This was a person. He was good to people. This was a person. He was a translator. This was a person. She had a podcast. This was a person. She was a teacher. This was a person. She was lactose intolerant. This was a person. She ate a lot of chinese food. She was sporty. This was a person. She slept around. This was a person. She was a street vendor. She was a trivia master. This was a person. He could play cricket. He had extensions. This was a person. He loved oreos. He could play banjo. This was a person. He snored. This was a person. She could fall asleep anywhere. This was a person. He was sporty. He ate the food at convenience stores. This was a person. She talked during movies. This was a person. He was good to people. This was a person. She overtipped. She chewed nicotine gum. This was a person. He was sleeping with his ex. This was a person. He had just paid a crapload of money to get teeth fixed. This was a person. He was an awful driver. This was a person. She grew up on a farm. She loved fine dining. This was a person. She loved wine. This was a person. He picked up litter. He loved MASH. This was a person. He loved pot. This was a person. He wore bow ties. This was a person. He was sleeping with his ex. This was a person. He was a secret Buddahist. He never drank coffee. This was a person. He volunteered at a middle school, because he had a crush on one of the other tutors. This was a person. She was 4 days sober. This was a person. He always had a clean car. This was a person. He was good to people. This was a person. He could play harmonica. This was a person. She occasionally shop lifted. This was a person. She loved to fish. This was a person. She always had a clean car. This was a person. He was good to people. This was a person. He called in sick to work 9 times last month and was written up at work. This was a person. He loved James Bond movies. He watched a lot of sports on TV, but never played them himself. This was a person. She loved oreos. This was a person. He always had gum. This was a person. She could play banjo. This was a person. She was rebuilding an engine. This was a person. She volunteered at a middle school, because she had a crush on one of the other tutors. She was a pharmacist. This was a person. She was polite to salesmen. This was a person. He had a lot of shoes. This was a person. He had crazy hair colors. He grew up on a farm. This was a person. She was a street vendor. This was a person. He loved James Bond movies. He helped people. This was a person. He was homophobic. This was a person. He ate a lot of fiber. This was a person. He loved wine. He sang at parties. This was a person. He has four overdue books. This was a person. He played a lot of social card games. This was a person. She was an expert barbecuer. This was a person. He volunteered at a middle school, because he had a crush on one of the other tutors. This was a person. He never drank coffee. This was a person. She was homophobic. This was a person. He got out of jail two years ago and never reunited with his family. He was a teacher. This was a person. She looked like a cartoon. She got thrown off of a golf course. This was a person. She was a tailor. This was a person. She had an unfortunate nickname. This was a person. She was a cheapskate. This was a person. She played chess. This was a person. She was thrifty. She had a podcast. This was a person. He loved nachos. He never finished the book club book. This was a person. He made his own beer and was kind of stingy with it. He had a lot of music on vinyl. This was a person. She sang. This was a person. She didn't have a family. She was a pharmacist. This was a person. He loved James Bond movies. This was a person. She was a virgin. She was a tailor. This was a person. He went to the horseraces. This was a person. He was a mason. This was a person. He always brought lunch. This was a person. She was a dog person. This was a person. He had braces on his teeth. This was a person. She made pie. She was a vegetarian. This was a person. He had a hangover yesterday. This was a person. She ate a lot of chinese food. This was a person. He talked during movies. This was a person. He was sleeping with his ex. This was a person. She was living with her sister. She always bought flowers for her desk. This was a person. She was divorced. She could play harmonica. This was a person. He has a suit at the cleaners. This was a person. She was an expert barbecuer. This was a person. He ate a lot of raisins. This was a person. He had just paid a crapload of money to get teeth fixed. This was a person. He overtipped. This was a person. She helped people. She had tropical fish. This was a person. She had an awesome home theatre. This was a person. She was sporty. This was a person. He was a mason. He played soccer every weekend. This was a person. He loved nachos. He looked like a cartoon. This was a person. He could play harmonica. This was a person. He occasionally shop lifted. This was a person. He loved nachos. He didn't get along with animals. This was a person. She sang at parties. This was a person. He snored. He was polite to salesmen. This was a person. She had a lot of music on vinyl. This was a person. He had a podcast. He could play trumpet. This was a person. She was working her way through all of the shows on Netflix. This was a person. He was very careful about conserving gasoline. This was a person. She had a bunch of tattoos. This was a person. She scalped tickets She loved James Bond movies. This was a person. He had an awesome home theatre. He was a secret Buddahist. This was a person. She was sporty. She had a green thumb. This was a person. She was polite to telemarketers. She had extensions. This was a person. She was learning to use CAD software. This was a person. He wanted to learn magic. This was a person. She wore Spandex. This was a person. He got a terrible haircut a few days ago and shaved his head to escape from it. This was a person. She watched a lot of sports on TV, but never played them herself. She took a lot of photos. This was a person. He loved to make out. This was a person. He was a drunk. This was a person. He prefered bread without crusts. This was a person. She was good at job interviews. This was a person. She was a virgin. She was a historian. This was a person. He loved wine. This was a person. He had a bunch of tattoos. This was a person. She picked up litter. This was a person. He plays fantasy football. This was a person. He was a Mac evangelist. This was a person. She was a scout leader. This was a person. He loved fine dining. This was a person. He went to the horseraces. This was a person. He loved fine dining. This was a person. He went to church. He had a lot of music on vinyl. This was a person. He ate a lot of chinese food. This was a person. He was afraid of flying. This was a person. He was afraid of flying. He was a pharmacist. This was a person. She wore bow ties. This was a person. She survived cancer. This was a person. He taught guitar. He was a vegetarian. This was a person. He led the choir. This was a person. She wore bow ties. This was a person. She lived on breakfast bars. This was a person. She could always get tickets. She couldn't grow a mustache. This was a person. She didn't have a family. She was awaiting judgement for a DUI last month. This was a person. She was training to run a marathon. This was a person. She always brought lunch. This was a person. She loved to fish. This was a person. She had a baby boy. This was a person. He had VD. This was a person. She never carried cash. This was a person. She sang. She survived cancer. This was a person. He was a tailor. He was an awful driver. This was a person. She always bought flowers for her desk. This was a person. She was a dog person. This was a person. He helped strangers. This was a person. She ate a lot of raisins. This was a person. She was a DJ. This was a person. He was a vegetarian. This was a person. She was training to run a marathon. This was a person. She loved to make out. This was a person. He ate a lot of hot dogs. 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 VD. This was a person. She was rebuilding an engine. This was a person. She kept buying vegetables, even though they always just went bad in her fridge. She was a mason. This was a person. He knew a lot of cops. This was a person. She spent a lot of time with old people. She helped the widow next door. This was a person. She spent a lot of time with old people. This was a person. He had VD. This was a person. She was a tailor. This was a person. He could play cricket. This was a person. He helped people. He never ate breakfast. This was a person. He was learning to use CAD software. This was a person. He had VD. This was a person. He grew up on a farm. This was a person. She was sort of selfish in bed. She was working her way through all of the shows on Netflix. This was a person. She was a DJ. This was a person. He sang at parties. He went to the horseraces. This was a person. He was polite to telemarketers. This was a person. She was learning to use CAD software. She loved James Bond movies. This was a person. She was a secret Buddahist. This was a person. She played soccer every weekend. This was a person. He played soccer every weekend. This was a person. She had an awesome home theatre. She always brought lunch. This was a person. She got thrown off of a golf course. This was a person. He always wore a hat. This was a person. She was a drunk. She was a Mac evangelist. This was a person. She was a translator. This was a person. She wore a lot of jewelry. This was a person. She had extensions. She knew how to get free satelittle television. This was a person. She went to the horseraces. She has four overdue books. This was a person. He had bonsai trees. This was a person. He was thrifty. This was a person. He was a scout leader. This was a person. She always brought lunch. She loved oreos. This was a person. He could always get tickets. He has a suit at the cleaners. This was a person. She was a translator. This was a person. He had tropical fish. This was a person. She was a translator. This was a person. He was a skilled woodcarver. This was a person. He played a lot of social card games. This was a person. He took careful notes after every meal. This was a person. He had bonsai trees. This was a person. She wanted to learn magic. This was a person. She was a virgin. This was a person. He ate a lot of kale. This was a person. He loved to make out. He was rebuilding an engine. This was a person. She called in sick to work 9 times last month and was written up at work. This was a person. He wore Spandex. This was a person. She always had a clean car. This was a person. He never raised hisvoice. This was a person. He played chess. This was a person. She called in sick to work 9 times last month and was written up at work. This was a person. He had tropical fish. This was a person. He was homophobic. This was a person. He ate a lot of chinese food. He wore Spandex. This was a person. She played chess. She has a music afficianado. This was a person. He helped strangers. He couldn't swim. This was a person. She was a trivia master. She had an awesome home theatre. This was a person. He always had a clean car. This was a person. She could fall asleep anywhere. She brought great food to social gatherings. This was a person. She loved wine. She had crazy hair colors. This was a person. He had crazy hair colors. He wore a lot of hats. This was a person. He slept around. This was a person. She always had gum. She spends a lot of time watching tennis. This was a person. He was rough and tumble. This was a person. He wore earphones all the time. He taught guitar. This was a person. He got out of jail two years ago and never reunited with his family. This was a person. She was a vegetarian. This was a person. He was a Mac evangelist. This was a person. He was an awful driver. This was a person. She taught guitar. This was a person. She was afraid of the water. This was a person. He loved pot. This was a person. She always had a clean car. She had an unfortunate nickname. This was a person. He loved to fish. This was a person. He had VD. This was a person. He excelled at woodworking. This was a person. She was a good dancer. This was a person. He finished reading all of the works of Homer. He was a translator. This was a person. She ate a lot of raisins. This was a person. He wore Spandex. He wore a lot of hats. This was a person. He was thrifty. This was a person. He was divorced. This was a person. He was a mason. He had a bunch of tattoos. This was a person. She was kind of addicted to ebay. She was a skilled woodcarver. This was a person. She was a trivia master. This was a person. He was a dog person. This was a person. She was left-handed. This was a person. He loved to make out. He was an awful driver. This was a person. She snored. This was a person. He was polite to salesmen. This was a person. He was a street vendor. He went to church. This was a person. She had braces on her teeth. This was a person. He was learning to use CAD software. This was a person. He loved nachos. This was a person. She was very good at cleaning. This was a person. He has a suit at the cleaners. This was a person. He made pie. This was a person. He was a historian. He could fix anything. This was a person. He always wore a hat. This was a person. She had a hangover yesterday. This was a person. She was a translator. She was afraid of the water. This was a person. He had bonsai trees. He had long fingernails. This was a person. She had just paid a crapload of money to get teeth fixed. This was a person. He never carried cash. This was a person. He was a glassblower. This was a person. She plays fantasy football. This was a person. She knew a lot of cops. This was a person. She did open mike. This was a person. He had a twin. This was a person. She loved Elvis. This was a person. She brought great food to social gatherings. This was a person. He excelled at woodworking. This was a person. She had a hangover yesterday. She was a teacher. This was a person. She was good to people. She excelled at woodworking. This was a person. She could play harmonica. This was a person. He had a personal injury lawsuit working its way through the courts. This was a person. He had VD. This was a person. He had a personal injury lawsuit working its way through the courts. This was a person. She had a bunch of tattoos. This was a person. He loved to fish. This was a person. She wore earphones all the time. She was a dog person. This was a person. He always had gum. This was a person. She wore earphones all the time. This was a person. She took a lot of photos. This was a person. He made his own beer and was kind of stingy with it. This was a person. He could always get tickets. This was a person. She was a plumber. This was a person. She had a bunch of tattoos. This was a person. She slept around. This was a person. She brought great food to social gatherings. This was a person. He played piano. This was a person. She was lactose intolerant. This was a person. He never carried cash. This was a person. He had a lot of Beatles records. This was a person. She was rough and tumble. This was a person. He occasionally shop lifted. This was a person. She scalped tickets She just had her car stereo repaired. This was a person. He was gluten intolerant. This was a person. He was a plumber. This was a person. He was a wedding photographer. This was a person. He did open mike. This was a person. She had a bunch of tattoos. She knew a lot of cops. This was a person. She was sleeping with her ex. She was a poet. This was a person. He went to church. This was a person. She was a glassblower. This was a person. She overtipped. This was a person. He snored. This was a person. He sang. He played a lot of social card games. This was a person. He was a dog person. This was a person. She had a bunch of tattoos. This was a person. She was the richest of her friends. This was a person. He was gluten intolerant. This was a person. He had an awesome home theatre. He helped people. This was a person. He never raised hisvoice. This was a person. She ate a lot of fiber. This was a person. She always had gum. This was a person. He ate the food at convenience stores. This was a person. She was an awful driver. She never carried cash. This was a person. She taught guitar. This was a person. He played a lot of social card games. This was a person. She was afraid of heights. This was a person. She was an expert barbecuer. This was a person. She got out of jail two years ago and never reunited with her family. This was a person. He always brought lunch. He was a wedding photographer. This was a person. He loved fine dining. This was a person. He went to the horseraces. This was a person. She loved wine. This was a person. She never finished the book club book. She plays fantasy football. This was a person. She wore a lot of hats. This was a person. He occasionally shop lifted. This was a person. She was very good at cleaning. She ate the food at convenience stores. This was a person. She loved oreos. This was a person. She dropped her work laptop last week, destroyed it and couldn't sleep for days. She was a tailor. This was a person. She had an unfortunate nickname. She wore bow ties. This was a person. He was a trivia master. This was a person. He excelled at woodworking. This was a person. He took a lot of photos. He was allergic to peanuts. This was a person. He was rebuilding an engine. He had a lot of Beatles records. This was a person. He had a personal injury lawsuit working its way through the courts. This was a person. She was good at job interviews. This was a person. He only ever had sex with one person. This was a person. He went to the horseraces. This was a person. He had just paid a crapload of money to get teeth fixed. This was a person. She always wore a hat. This was a person. He made his own beer and was kind of stingy with it. This was a person. She could play cricket. This was a person. She talked during movies. This was a person. He knew a lot of cops. This was a person. She had just paid a crapload of money to get teeth fixed. She loved rollerblading. This was a person. She played piano. She was divorced. This was a person. He was a good dancer. This was a person. She never raised hervoice. This was a person. She was homophobic. This was a person. She loved fine dining. She abused cars. This was a person. He was a DJ. This was a person. He had a podcast. This was a person. She just had the bandages removed from plastic surgery. She led the choir. This was a person. He did not own a fridge. He was rough and tumble. This was a person. She had an unfortunate nickname. She led the choir. This was a person. She took a lot of photos. This was a person. He had a green thumb. This was a person. She wore earphones all the time. She loved to fish. This was a person. She got out of jail two years ago and never reunited with her family. She got a terrible haircut a few days ago and shaved her head to escape from it. This was a person. He had a lot of Beatles records. This was a person. He ate a lot of fish. This was a person. He wore a lot of jewelry. He talked during movies. This was a person. He was a scout leader. He was diabetic. This was a person. He was a historian. This was a person. He did not sleep with a pillow. This was a person. She had a gun. This was a person. He was 4 days sober. This was a person. She helped people. She wrote for the newspaper. This was a person. He lived on breakfast bars. He kept to himself mostly This was a person. She only ever had sex with one person. This was a person. He loved pot. He tutored kids. This was a person. He loved pot. This was a person. She just had her car stereo repaired. This was a person. She ate a lot of fiber. This was a person. He did not sleep with a pillow. 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 Mac evangelist. He constantly wore sunglasses. This was a person. She ate the food at convenience stores. She was a scout leader. This was a person. He loved to make out. He went to church. This was a person. She can't watch the end of T2 without crying This was a person. He was a glassblower. This was a person. She wore bow ties. This was a person. She loved pot. This was a person. She always brought reusable bags into the store. This was a person. She was allergic to peanuts. This was a person. He had a lot of shoes. This was a person. She ate a lot of fiber. She slept around. This was a person. She constantly wore sunglasses. She took a lot of photos. This was a person. He was homophobic. He was gluten intolerant. This was a person. She once robbed a bank. This was a person. She was a mason. This was a person. She knew a lot of cops. She was a skilled woodcarver. This was a person. She was a DJ. This was a person. She was a tailor. This was a person. She tutored kids. This was a person. She did not own a fridge. This was a person. She ate a lot of raisins. This was a person. She was afraid of the water. This was a person. He kept buying vegetables, even though they always just went bad in his fridge. He played soccer every weekend. This was a person. She had an unfortunate nickname. This was a person. He loved cigarettes. He was sporty. This was a person. She was a wedding photographer. This was a person. She knew a lot of cops. This was a person. He threw a lot of parties. This was a person. She ate the food at convenience stores. She had a sexy phone voice. This was a person. She sang at parties. This was a person. He loved chocolate. This was a person. She had just paid a crapload of money to get teeth fixed. This was a person. She had long fingernails. She was sporty. This was a person. He was cockeyed. This was a person. She loved nachos. She grew up on a farm. This was a person. He was a scout leader. This was a person. She loved Elvis. This was a person. She only ever had sex with one person. This was a person. He could juggle. This was a person. She kept to herself mostly This was a person. She was a pharmacist. This was a person. She finished reading all of the works of Homer. This was a person. He once robbed a bank. This was a person. He was a wedding photographer. This was a person. He tutored kids. This was a person. She was a cheapskate. This was a person. He kept buying vegetables, even though they always just went bad in his fridge. This was a person. He talked during movies. This was a person. He had an unfortunate nickname. He just had the bandages removed from plastic surgery. This was a person. She looked like a cartoon. This was a person. She spent a lot of time with old people. This was a person. He can't watch the end of T2 without crying This was a person. He prefered bread without crusts. He always wore a hat. This was a person. He did open mike. He had an awesome home theatre. This was a person. He occasionally shop lifted. This was a person. He was 4 days sober. He was a teacher. This was a person. He was a teacher. This was a person. She never ate breakfast. This was a person. He always brought lunch. This was a person. She was a mason. This was a person. He snored. He loved chocolate. This was a person. He made his own beer and was kind of stingy with it. He can't watch the end of T2 without crying This was a person. She was gluten intolerant. This was a person. He picked up litter. This was a person. He never raised hisvoice. This was a person. She had a bunch of cameras. She was polite to telemarketers. This was a person. He picked up litter. This was a person. He took a lot of photos. This was a person. She could always get tickets. 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 ate a lot of hot dogs. This was a person. He was good to people. He had lice. This was a person. She had an unfortunate nickname. This was a person. He loved to make out. He scalped tickets This was a person. She kept to herself mostly She always had a clean car. This was a person. He wore Spandex. This was a person. She was good at job interviews. This was a person. He volunteered at a middle school, because he had a crush on one of the other tutors. This was a person. She couldn't grow a mustache. This was a person. He was cockeyed. This was a person. She was homophobic. This was a person. He had a green thumb. He made scrapbooks. This was a person. She always brought lunch. This was a person. He called in sick to work 9 times last month and was written up at work. This was a person. He was a tailor. This was a person. She was left-handed. She led the choir. This was a person. She could play harmonica. This was a person. He went to church. This was a person. He always brought reusable bags into the store. This was a person. She helped strangers. She was balding. This was a person. He had just paid a crapload of money to get teeth fixed. This was a person. She survived cancer. This was a person. She overtipped. This was a person. She knew a lot of cops. This was a person. He could play cricket. This was a person. He did not sleep with a pillow. This was a person. He was a historian. This was a person. She was always in a hurry.

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.

  The Oatmeal Markup | Antiques Roadshow - The Ultimate "Neat Stuff" Show | Iphone vs. Kia | Let us Dilute that For You | Razor and Blades Business Model | Short-Circuiting the Facebook Tease Video Link | Other Websites Besides Healthcare.org which are Broken | Visualizing the Price of a Television | Personal account of working for commision at Banker's Life Insurance | The Three Problems with Child Car Seats | How Much Time is Really Left in the Basketball Game? | Who Uses Their Turn Signal? | Other Web Problems not related to Healthcare.org | The Cross-Section of a Couch | Comparing the Price of Used Car to the Price of a New Car | Rental Car Keys are Horrible | The Actual Amount of Time it Takes | Incorrect Shelf Prices at Walmart | Two Prices for Auto Body Repair | Roadside Sobriety Test | Cash in your Pennies | Get it Together Walmart | Price Increases at Fast Food Restaurants | Yard Sale is Shoe Store Scam | Disaster Casualties Visualization Tool | Walmart vs Target: 2013 | The 146 Drugs in Walmart's $4 Prescription Drug Plan | Email Concealer Codes | accumulating credit card debt | Selling a Structured Settlement | The Torn-up Credit Card Application ! Kirby Vacuum Cleaners
  • Photographic Height/Weight Chart
  • The Weight of Clothing

    • Cockeyed home page | Contact | Terms and Conditions | Updated February 27, 2013   Copyright 2013 Cockeyed.com