EFFORTPOST Andrew Tate's "The Real World": preliminary whiteness analysis

In case for some reason you haven't heard of this guy by now, Andrew Tate is a notorious s*x trafficker and even worse, a rightoid grifter. He's made an entire career saying "women bad, lgbt bad" and profiting off the chuds who clap like seals when he says these things

"behold, the savior of the whvte rvce"

Most of his income comes from his platform "The Real World" (formerly Hustler's University) an online university that supposedly teaches you how to get rich. In reality it's just a groomercord clone built from stolen code where a bunch of chuds teach each other basic economic skills and crypto bullshit and engage in the same terminally online gay behavior that occurs on groomercord.

Recently "The Real World" was hacked with a bunch of data leaked and made publicly available. You can read more about this here: https://rdrama.net/post/319407/hackers-breach-andrew-tates-online-universityobtain

With 325,000 users' emails supposedly in this leak, I decided to do some quick analysis on his fan base to test my hypothesis that they're mostly brown people like Tate himself.

How I obtained my data

1. Downloaded the leaked files and scraped them for email addresses.

2. Parsed all the email addresses, and extracted names from emails in the 'firstname.lastname@ email.xxx' format. I could have probably done this in a more sophisticated way but... I couldn't be fricked lol. I got a total of 67,000 names from this method so overall not too bad I guess.

me writing code. (I'm legitimately r-slurred at this point and need chatGPT to do literally everything for me)

Analysis

With my list of names, I thought the best way to determine whiteness would be through the last names, but looking through the most frequently occurring names it was either shit like "crypto", "business", "shop", or just random gibberish. I decided to try using first names instead

In order to determine if a first name was "white" or "brown", I decided to just do it based on my own judgement, going through a list of the most frequently occurring names and labeling them as either "W", "B", or "I" (inconclusive). I was pretty picky when it came to labeling a name as "white", for example I felt a name like "Alex" was probably just a bit too common/multicultural at this point to be considered a white name while a giga-crakkker name like "Kyle" or "Jeremy" was.

The final step was to just run this flagging system against the total list of names, and the results were...... drumroll please

White Name Count: 9807

Brown Name Count: 3907

HOLY CRAP!!! I WAS COMPLETELY WRONG AND ANDREW TATE FANS ARE CRACKERS?????

Not the result I was expecting, but interesting nonetheless.

Some Other Insights

Alex, Daniel, David, Adam and Michael are the most common names appearing on the list of users, however that isn't particularly interesting considering they are some of the most common names. NOAH might be the Tate fanboy official name, despite not even being on the list of 1,000 most common names, it's the #29th most popular name on"The Real World", appearing 106 times

"look at this fricking chud"

as you might imagine, this entire list is dominated by male names. Out of all the names I went through manually, "Andrea is the only female name that I saw. Apparently it's a male name in some parts of the world which may explain this, but it's funnier to imagine women named "Andrea" are chuds

I had a lot of fun doing this tbh and keen for any feedback/insights on potential issues with my process and what u might have done differently

TLDR IM NOT READING THIS SHIT; ANDREW TATE FANS ARE WHITE LOL AND I'VE PROVEN IT WITH SCIENCE