LibsofTikTok as White Humiliation

LibsofTikTok as White Humiliation

hellDweller

LibsofTikTok is a prominent anti-LGBT twitter channel with millions of followers, run by a Jewish woman named Chaya Raichik. She posts videos or TikTok's made by crazy LGBT teachers who are a danger to children in the education system. She rose to fame after the journalist, Taylor Lorenz, did an expose which backfired as the entire media apparatus came to Chaya's defense. She certainly loves gloating over it now. She advises people to home school their children and has been praised by conservative outlets for her activism.

Chaya Raichik a.k.a. LibsofTikTok

But the truth about her is that she deliberately posts videos of White LGBT teachers and LGBT Whites in general, and presents them as a threat to children. She deliberately avoids anything made by non-whites, when it isn't useful to her. It is statistically unlikely that all the crazy LGBT teachers will be White as the demographics of TikTok and the LGBT community are skewed towards other races. Not only that, she deliberately posts anti-White videos by non-Whites to fan the flames of racial hatred in a manner controlled by her.

Conservatives share her videos as they are safe to 'hate', since the target is not just an LGBT teacher, but a White LGBT teacher. In this article, I will show you the data proving that she deliberately chooses to post LGBT Whites over others to paint a particular narrative, I assume is suitable to her tribe.

First let's explore the LGBT community's racial demographics

The best source for this is the Pew research survey. It's from 2013, but will be reasonably representative and I will cover the newer census.gov survey after this. From Pew research, Profile of 2013 LGBT Survey respondents and US population.

Of the LGBT population, 30% of LGBT people belong to the 18-29 age group and another 39% belong to the 30-49 age group. When it comes to their race, 66% of LGBTs are White, 10% are Black, 17% are Hispanic and 7% are other. The US population is roughly 59% White, 19% Hispanic and 13% Black.

The Census.gov survey has similar information. It states that 60.9% of the LGBT population is white, 8.8% is Black and 21.3% is Hispanic. Now that we have an idea of the American LGBT demographics, let's see the demographics of American TikTok users. This is also from Pew research but from 2021.

48% users of TikTok are within the 18-29 age bracket and another 22% are within the 30-49 age bracket. Only 18% of the users are White while 30% are Black and 31% are Hispanic. This makes sense as the most common age among whites in U.S. is 58, while the most common age for non-Whites overall is 27.

It is important to remember this, as while the US population maybe 60% White, the age brackets using TikTok the most, are largely non-White, and Whites in general underuse TikTok. Thus the 60% number doesn't show the full picture, and you can't use the 60% number to explain away the over-representation.

Now that we understand the demographics of the general US population, US LGBT population and US TikTok users, if we were to analyze the type of TikToks posted by LibsofTikTok, a disturbing pattern begins to appear. The vast majority of the posts, appear to involve not just crazy LGBT school teachers, but specifically White crazy LGBT school teachers. That and the occasional post about a non-White being anti-White. Her posts receive anywhere from half a million to 4 million views per post.

The Data

As this is a tall claim to make, it's better if I simply presented the data. To make the data clear, I will not be using any political posts, non-LGBT related posts or retweets of others. I will also not be using retweets of her own tweets since that necessarily won't be chronological. Not all the posts involve school teachers, since she focuses on LGBT in general and not just LGBT teachers, although they are more prominent. Since not every person in the video will be perfectly identifiable, when the person generally appears White, I will assume that they are, and will assume non-White otherwise. All the data will be in chronological order as of this writing. The following are a list of posts made by LibsofTikTok.

Legend

W = White LGBT

NW = Non-White LGBT

AW = Anti-White post

1.      NW https://nitter.poast.org/libsoftiktok/status/1681690522820263940#m

2.      W https://nitter.poast.org/libsoftiktok/status/1681672872891150336#m

3.      W https://nitter.poast.org/libsoftiktok/status/1681092876313214976#m

4.      NW https://nitter.poast.org/libsoftiktok/status/1681009039101001732#m

5.      W https://nitter.poast.org/libsoftiktok/status/1680654131814342656#m

6.      W https://nitter.poast.org/libsoftiktok/status/1680940568707227648#m

7.      W https://nitter.poast.org/libsoftiktok/status/1680680624489910272#m

8.      W https://nitter.poast.org/libsoftiktok/status/1679655053865664512#m

9.      AW https://nitter.poast.org/libsoftiktok/status/1679877955605123074#m

10.  W https://nitter.poast.org/libsoftiktok/status/1679475772011032576#m

11.  W https://nitter.poast.org/libsoftiktok/status/1678892214682890241#m

12.  AW https://nitter.poast.org/libsoftiktok/status/1678770444235841537#m

13.  AW https://nitter.poast.org/libsoftiktok/status/1678486598965665793#m

14.  W https://nitter.poast.org/libsoftiktok/status/1678056233906081794#m

15.  W https://nitter.poast.org/libsoftiktok/status/1677138764529819648#m

16.  W https://nitter.poast.org/libsoftiktok/status/1677330607053864960#m

17.  W https://nitter.poast.org/libsoftiktok/status/1677072593512468481#m

18.  W https://nitter.poast.org/libsoftiktok/status/1676726958259068929#m

19.  W https://nitter.poast.org/libsoftiktok/status/1676590294718902273#m

20.  NW https://nitter.poast.org/libsoftiktok/status/1675890518679535617#m

21.  W https://nitter.poast.org/libsoftiktok/status/1675326587061796864#m

22.  W https://nitter.poast.org/libsoftiktok/status/1674756037201518592#m

23.  W https://nitter.poast.org/libsoftiktok/status/1674477826978750479#m

24.  W https://nitter.poast.org/libsoftiktok/status/1674195353166393351#m

25.  W https://nitter.poast.org/libsoftiktok/status/1673788795798290434#m

26.  W https://nitter.poast.org/libsoftiktok/status/1674430649313406979#m

27.  NW https://nitter.poast.org/libsoftiktok/status/1673697589512765440#m

28.  W https://nitter.poast.org/libsoftiktok/status/1673360879008600064#m

29.  W https://nitter.poast.org/libsoftiktok/status/1672351154288705536#m

30.  W https://nitter.poast.org/libsoftiktok/status/1672250670240632832#m

31.  W https://nitter.poast.org/libsoftiktok/status/1671346636797214721#m

32.  W https://nitter.poast.org/libsoftiktok/status/1671123608603877379#m

33.  W https://nitter.poast.org/libsoftiktok/status/1670915744954032128#m

34.  W https://nitter.poast.org/libsoftiktok/status/1670865258599030784#m

35.  W https://nitter.poast.org/libsoftiktok/status/1669074839301238786#m

36.  W https://nitter.poast.org/libsoftiktok/status/1668658185996054540#m

37.  W https://nitter.poast.org/libsoftiktok/status/1668259269521682433#m

38.  W https://nitter.poast.org/libsoftiktok/status/1667293432727863297#m

39.  W https://nitter.poast.org/libsoftiktok/status/1667191978964971520#m

40.  W https://nitter.poast.org/libsoftiktok/status/1666818956957745154#m

41.  W https://nitter.poast.org/libsoftiktok/status/1666464473819873280#m

42.  W https://nitter.poast.org/libsoftiktok/status/1666439401147183107#m

43.  W https://nitter.poast.org/libsoftiktok/status/1665945887980306433#m

44.  W https://nitter.poast.org/libsoftiktok/status/1665724634120048641#m

45.  W https://nitter.poast.org/libsoftiktok/status/1664356099334569985#m

46.  W https://nitter.poast.org/libsoftiktok/status/1664292883871195138#m

47.  W https://nitter.poast.org/libsoftiktok/status/1664097577401298945#m

48.  AW https://nitter.poast.org/libsoftiktok/status/1662853091060768771#m

49.  W https://nitter.poast.org/libsoftiktok/status/1661745279190843393#m

50.  W https://nitter.poast.org/libsoftiktok/status/1659660523242225668#m

The first post in this data set is on July 19, 2023 while last one is on May 19, 2023. So 2 months and 50 posts. Out of these, 4 NW and 4 AW posts were made, while the remaining 42 posts involved LGBT Whites. That is to say, 84% of the posts involved LGBT Whites. Knowing what you now know about the demographics of TikTok users and the American LGBT population, ask yourself, what is the likelihood of such a thing occurring naturally? Anyone is free to get their own data and perform their own analysis if you feel any error has been made.

It is entirely possible that LGBT Whites are over-represented on TikTok, and hence they are posted by LibsofTikTok more often. But given who LibsofTikTok is run by, I find this to be highly unlikely.


This is Article No. 36. Please share if you liked it. You can find all of my posts on https://poa.st/@hellDweller

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