5 ms·
> more people under 45 were exhausted (43%) than those over 45 (35%), with the least exhausted group being those over 60. Welp, they aren’t making the greatest
by SamReidHughes 7y ago
> more people under 45 were exhausted (43%) than those over 45 (35%), with the least exhausted group being those over 60.
Welp, they aren’t making the greatest case against ageism here, are they.
- tzm 7y agoIt's a case nonetheless. Productivity is key regardless of age.
- SamReidHughes 7y agoIt's definitely not surprising and it does fit both stereotypes I have in my mind, that young people work harder and also that they need to work harder to keep up. Maybe it's that those that can't keep up eventually leave the field, leaving the more productive behind. But obviously, older people do just leave and go home to their kids. My guess is young people tend to get themselves exhausted doing stuff like checking reddit 50 times a day, too.
- resoluteteeth 7y ago> Welp, they aren’t making the greatest case against ageism here, are they. Huh? Are you assuming that less exhausted implies less productive? Would you assume the same thing if the results were the other way around?
- SamReidHughes 7y agoWell it sure suggests that younger people work harder. I can assure you I am more exhausted when I am more productive.
- danShumway 7y agoIf it were the other way around, I guarantee someone would be on this thread arguing that obviously this means that older people don't have enough mental stamina and energy for fast-moving companies and startups. After all, if two people walked a mile, and one of them was more tired at the end of it, that person's probably less physically fit -- why wouldn't mental jobs be the same? A lot of biases work this way. People look at a result and then come up with a plausible explanation that just happens to already fit their worldview. It's a very subtle trap that's very, very easy for people to fall into -- I have my own fair share of embarrassing moments where I've done this. I think it's important to be very careful when interpreting results that can have multiple different causes, particularly when they're not linked to a previous prediction.