Alvin Chang examines #loneliness through the lens of individual responses from the American Time Use Survey.
... 𝘸𝘦’𝘭𝘭 𝘨𝘰 𝘵𝘩𝘳𝘰𝘶𝘨𝘩 24 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘢 𝘵𝘺𝘱𝘪𝘤𝘢𝘭 𝘸𝘦𝘦𝘬𝘦𝘯𝘥 𝘥𝘢𝘺 𝘪𝘯 2021. 𝘞𝘦 𝘬𝘯𝘰𝘸 𝘸𝘩𝘢𝘵 𝘱𝘦𝘰𝘱𝘭𝘦 𝘥𝘪𝘥 – 𝘢𝘯𝘥 𝘸𝘩𝘰 𝘵𝘩𝘦𝘺 𝘥𝘪𝘥 𝘪𝘵 𝘸𝘪𝘵𝘩 – 𝘣𝘦𝘤𝘢𝘶𝘴𝘦, 𝘴𝘪𝘯𝘤𝘦 2003, 𝘵𝘩𝘦 𝘈𝘛𝘜𝘚 𝘢𝘴𝘬𝘦𝘥 𝘱𝘦𝘰𝘱𝘭𝘦 𝘵𝘰 𝘵𝘳𝘢𝘤𝘬 𝘩𝘰𝘸 𝘵𝘩𝘦𝘺 𝘶𝘴𝘦 𝘵𝘩𝘦𝘪𝘳 𝘵𝘪𝘮𝘦. 𝘉𝘺 𝘵𝘩𝘦 𝘦𝘯𝘥 𝘰𝘧 𝘵𝘩𝘦 𝘥𝘢𝘺, 𝘸𝘦’𝘭𝘭 𝘭𝘦𝘢𝘳𝘯 𝘵𝘩𝘢𝘵 𝘔𝘢𝘳𝘵𝘪𝘯’𝘴 𝘪𝘴𝘰𝘭𝘢𝘵𝘪𝘰𝘯 𝘪𝘴𝘯’𝘵 𝘶𝘯𝘪𝘲𝘶𝘦. 𝘐𝘯 𝘧𝘢𝘤𝘵, 𝘭𝘰𝘯𝘦𝘭𝘪𝘯𝘦𝘴𝘴 𝘩𝘢𝘴 𝘣𝘦𝘤𝘰𝘮𝘦 𝘢 𝘧𝘢𝘳 𝘮𝘰𝘳𝘦 𝘤𝘰𝘮𝘮𝘰𝘯 𝘦𝘹𝘱𝘦𝘳𝘪𝘦𝘯𝘤𝘦 𝘪𝘯 𝘵𝘩𝘦 𝘭𝘢𝘴𝘵 𝘧𝘦𝘸 𝘥𝘦𝘤𝘢𝘥𝘦𝘴.
𝘛𝘩𝘦 𝘢𝘷𝘦𝘳𝘢𝘨𝘦 𝘩𝘶𝘮𝘢𝘯 𝘤𝘢𝘯 𝘯𝘢𝘮𝘦 𝘢𝘣𝘰𝘶𝘵 1,500 𝘱𝘦𝘰𝘱𝘭𝘦, 𝘢𝘯𝘥 𝘸𝘦 𝘱𝘦𝘳𝘴𝘰𝘯𝘢𝘭𝘭𝘺 𝘬𝘯𝘰𝘸 𝘢𝘣𝘰𝘶𝘵 500. 𝘉𝘶𝘵 𝘮𝘰𝘴𝘵 𝘰𝘧 𝘵𝘩𝘰𝘴𝘦 𝘱𝘦𝘰𝘱𝘭𝘦 𝘸𝘰𝘯'𝘵 𝘩𝘦𝘭𝘱 𝘶𝘴 𝘪𝘯 𝘵𝘪𝘮𝘦𝘴 𝘰𝘧 𝘯𝘦𝘦𝘥. 𝘛𝘩𝘦 𝘱𝘦𝘰𝘱𝘭𝘦 𝘸𝘩𝘰 𝘸𝘪𝘭𝘭 𝘩𝘦𝘭𝘱 𝘢𝘳𝘦 𝘰𝘶𝘳 𝘧𝘳𝘪𝘦𝘯𝘥𝘴 – 𝘢𝘯𝘥 𝘱𝘴𝘺𝘤𝘩𝘰𝘭𝘰𝘨𝘪𝘴𝘵 𝘙𝘰𝘣𝘪𝘯 𝘋𝘶𝘯𝘣𝘢𝘳 𝘢𝘳𝘨𝘶𝘦𝘴 𝘵𝘩𝘢𝘵 𝘸𝘦 𝘩𝘢𝘷𝘦 𝘢𝘯 𝘢𝘷𝘦𝘳𝘢𝘨𝘦 𝘰𝘧 150 𝘱𝘦𝘰𝘱𝘭𝘦 𝘸𝘩𝘰 𝘸𝘦 𝘵𝘳𝘺 𝘵𝘰 𝘴𝘵𝘢𝘺 𝘪𝘯 𝘵𝘰𝘶𝘤𝘩 𝘸𝘪𝘵𝘩. 𝘞𝘪𝘵𝘩𝘪𝘯 𝘵𝘩𝘢𝘵 𝘨𝘳𝘰𝘶𝘱, 𝘸𝘦 𝘩𝘢𝘷𝘦 𝘢𝘣𝘰𝘶𝘵 15 𝘧𝘳𝘪𝘦𝘯𝘥𝘴 𝘢𝘯𝘥 𝘧𝘢𝘮𝘪𝘭𝘺 𝘸𝘦 𝘤𝘰𝘯𝘵𝘢𝘤𝘵 𝘦𝘢𝘤𝘩 𝘮𝘰𝘯𝘵𝘩 𝘢𝘯𝘥 𝘰𝘯𝘦 𝘵𝘰 𝘵𝘸𝘰 𝘱𝘦𝘰𝘱𝘭𝘦 𝘸𝘪𝘵𝘩 𝘸𝘩𝘰𝘮 𝘸𝘦 𝘴𝘩𝘢𝘳𝘦 𝘢𝘯 𝘪𝘯𝘵𝘪𝘮𝘢𝘵𝘦 𝘳𝘦𝘭𝘢𝘵𝘪𝘰𝘯𝘴𝘩𝘪𝘱.
15? I wish I knew that many remotely loyal or trustworthy people.
𝘛𝘩𝘦 𝘢𝘷𝘦𝘳𝘢𝘨𝘦 𝘩𝘶𝘮𝘢𝘯 𝘤𝘢𝘯 𝘯𝘢𝘮𝘦 𝘢𝘣𝘰𝘶𝘵 1,500 𝘱𝘦𝘰𝘱𝘭𝘦, 𝘢𝘯𝘥 𝘸𝘦 𝘱𝘦𝘳𝘴𝘰𝘯𝘢𝘭𝘭𝘺 𝘬𝘯𝘰𝘸 𝘢𝘣𝘰𝘶𝘵 500.
Those seem like such INSANE numbers to me. 🤣
I'm also not sure I'd assume that people who do things alone or solitarily are automatically lonely either.
The difference between solitude and loneliness is vast. I’ve been single for many years and never been lonely.
@LnzyHou Yeah I'm really interested in how they took data like that and managed to decide what it meant ... I'm curious about that process.
@thewebrecluse @LnzyHou I quickly jump to that question, too. I'm interested in how these conclusions are reached. Quite often, if you dig just a bit, you find a pretty big leap being taken. The way complex crimes get solved on TV detective shows.
@PeaceMob @LnzyHou @Dbot
And how does facial recognition determine how many people the average person "personally knows" ... ?? Just because you see people's faces daily doesn't mean you know them or can recall them or that they have any meaning at all.
This data is ... whatever.
The ART of the project Alvin Chang has created is fascinating and beautiful and a great visualization of data ... but what it means ... open to interpretation.