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by hudixt 1879 days ago
I had done same thing around this in 2019. This doesn't stop at this.

There were quite correlation that I was able to find with basic setup

The results can be quite horrifying as you can predict plethora of things.

- When is someone sleeping.

- When they're working,etc.

- If two person are talking to each other in closed group.

3 comments

Did something similar in 2015, there was even an open-source program to do it with graphical statistics:

https://maikel.pro/blog/en-whatsapp-privacy-options-are-illu...

Nice work !
Not mine if that was not clear.
Not just that you can correlate this data with activity on various social networks like Reddit and 4chan or even hacker news over time and slowly narrow down the list of possible anonymous usernames someone may have by just removing all users that were active when individual is known to be sleeping.
Can you share that research? Seems interesting