OldSchoolCool: History's cool kids, looking fantastic. /r/OldSchoolCool **History's cool kids, looking fantastic!** A pictorial and video celebration of history's coolest kids, everything from beatniks to bikers, mods to rude boys, hippies to ravers. And everything in between. If you've found a photo, or a photo essay, of people from the past looking fantastic, here's the place to share it.
19.6M members. The best post we have captured here reached 152.9K upvotes, which works out to 8 per 1,000 members.
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The mix of post types among everything we have captured. Posting a link where almost nothing but images lands is wasted effort, and this is the fastest way to see it.
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The biggest posts we have captured here. Links go to the original on Reddit.
In 1974, Masahisa Fukase photographed his wife, Yōko Wanibe, every morning from the window of their apartment in Tokyo as she left for work.
Just retired after 42 years as an obstetrical nurse, at the same hospital. Here I am at the start (1979) and end of my career!
The Paramount Pictures logo on the day it was originally painted. [1965]
My uncle getting caught growing weed in the backyard. Circa 1970s.
My parents on their wedding day in 1964 and then again at Christmas 2021
My deaf father, hugging a speaker to his chest to feel the vibrations of music. Early 1970s.
Since everyone is posting their mom's in bikinis for some reason, here's my mom coming to see me during her lunch break for my kindergarten graduatio…
My Uncle Billy just turned 90, so here’s him on his boat during the early 80’s
1967 - Me (front) and my Dad's band. Dad is left rear.
My Grandmother, a white Jewish woman, looked like Barack Obama in 1962
Within four times the member count either way, so the comparison is fair. Sorted by upside.
Answered from the posts ViralHunt holds from this community, not from Reddit's own about page.
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Start free →Every figure here is what ViralHunt has captured from r/OldSchoolCool, not everything the community has ever posted. We deliberately do not publish an average score: our sample is weighted toward a community's best posts, so an average would be flattering and wrong. Peak per 1,000 members is computed the same way for every community listed. See how we measure.