HC4CWH
kiwifarms.net
- Joined
- Apr 15, 2025
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I processed and analyzed 3885 female govt ids from the tea app hack. calculated aggregated demographic stats. age, height, weight, bmi, and state distribution.
1/ state distribution
most users are from republican states. the most recently issued license was on dec 2023.
2/ age distributionmean and median are 38/37
3/ height and weight distribution (add a couple dozen pounds to the average, the dmv is not pulling out scales for you to step on. i’m sure a majority of countries are the same way.)
4/ bmi distribution
5/ state distribution but with 2024 post-election data (trump admin)note that the license data stops at feb 2024.california stands out. nooticing...
6/ height vs weight scatter plotas requested
Credits to @WadeGrimridge on X
I processed and analyzed 3885 female govt ids from the tea app hack. calculated aggregated demographic stats. age, height, weight, bmi, and state distribution.
1/ state distribution
most users are from republican states. the most recently issued license was on dec 2023.
2/ age distributionmean and median are 38/37
3/ height and weight distribution (add a couple dozen pounds to the average, the dmv is not pulling out scales for you to step on. i’m sure a majority of countries are the same way.)
4/ bmi distribution
5/ state distribution but with 2024 post-election data (trump admin)note that the license data stops at feb 2024.california stands out. nooticing...
6/ height vs weight scatter plotas requested
Credits to @WadeGrimridge on X