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6 Comments
List of data sources were:
[https://panewsarchive.psu.edu/](https://panewsarchive.psu.edu/)
[https://www.digitalnc.org/newspapers/](https://www.digitalnc.org/newspapers/)
[https://idnc.library.illinois.edu/?a=cl&cl=CL1&sp=EIN&e=——-en-20–1–txt-txIN———-](https://idnc.library.illinois.edu/?a=cl&cl=CL1&sp=EIN&e=——-en-20–1–txt-txIN———-)
[https://digitalmaine.com/newspapers/](https://digitalmaine.com/newspapers/)
The tool I used to create the graph was Microsoft Excel. I counted by browsing every newspaper page spanning 63 years looking for males with or without facial hair. The years 2020 and 2021 were tricky to count for obvious reasons.
EDIT: Some edits I from my [last post.](https://old.reddit.com/r/dataisbeautiful/comments/1fqa7zw/ocevery_100th_person_in_archived_newspapers_with/) I resized the axes so it would be easier to read and merged/removed some of the facial hair listings. I also recolored the graph so it would be simple and easy to read the data.
I also tried to make it more colorblind friendly by research and running it through colorblind simulators several times but I understand it won’t come out perfect. If you’re colorblind, please feel free to make criticisms if the graph is still hard to read for you and what improvement I can make.
I think this could use an example picture for all the types!
I really miss a category of “random” or something like that. I never shave, I just cut my facial hair with scissors for a few minutes every month or so. Even when it’s just before cutting you probably won’t call it a “beard”, but just after cutting, you won’t call it “shaven” and I find this the most logical approach 🙂
This should definitely indicate where the data are from. Worldwide? US?
I am honestly surprised fully shaved is still that high. Also i feel like theres another split between full beard and 5’oclock shadow. I would guess that full beard is a lot lower than we think it is
The rise of the full beard, the fall of the muttonchops, and the consistent unpopularity of the soul patch.