Up to 50% of the Arab world is inbred (according to Arab doctors)
https://reproductive-health-journal.biomedcentral.com/articles/10.1186/1742-4755-6-17

But muh White Inbred Cave people

https://sci-hub.tw/https://pubs.rsna.org/doi/10.1148/radiol.2020200236

https://www.biorxiv.org/content/10.1101/2020.01.30.927871v1

Read the comments there from other scientists on that page ^^^... this is sloppy work. the "HIV inclusions" 'theory' that made people think this was a bioweapon is a result of a sloppy comparison job.

No shit of course it was hahaha I already posted numerous articles about why one uses hiv medicine for this etc. But man people sure are fast af to grab articles

```
Alex Crits-Christoph • 13 hours ago
All four of the identified amino acid insertions are extremely short and are found in the genomes of many other organisms, not just HIV. In other words, the primary finding of this work are entirely a highly expected coincidence.

All organisms contain a DNA code that has the genetic instructions for development, functioning, and growth - this is known as the "genome". You can imagine each genome as a book of instructions. What these authors did is look in the genome book of the 2019 novel coronavirus and identified 4 sets of letters that aren't found in the genome book of SARs, a related coronavirus. They then compared these letters to the genome book of HIV, and found some places where they looked somewhat similar - but not even identical. However, because these sets of letters were so short, they are often found in many genome books by chance - they way you might search for the phrase "can be there" in Google Books and find that thousands of books contain those words - but this is not an example of plagarism. ```

```
Note here: We call these sets of letters "insertions" because they are in one genome, but not in a close relative - "insertion" does not imply human interference or engineering - it is an evolutionary term and refers to a natural evolutionary mutation.

Here are the four insertions:

TNGTKR

HKNNKS

RSYLTPGDSSSG

QTNSPRRA

These four insertions are protein sequences, that are encoded by a DNA sequence (which you may know uses molecular "letters" of A, G, C, and T to encode for proteins, which uses 20 molecular amino acid "letters").

You, dear reader, do not have to take anybody's word for it that these letters are a concidence - you can do the bioinformatics yourself!

If you would go to:
https://blast.ncbi.nlm.nih.gov/Blast.cgi

You will arrive at a search engine for these genome books, kind of like the Google of biology. Click on "Protein Blast", because are going to search for these protein sequences.

Under where it says "Enter accession number", you can paste any one of the four sequences above.

And then you can hit the "BLAST" button at the bottom of the screen. In a few minutes you will get a set of results.

Let's go through the results for the longest sequence, "RSYLTPGDSSSG", together.

Under the "Description" field you can see resulting hits. The first hit you see is to "spike glycoprotein [Wuhan seafood market pneumonia virus]" - this is good, because we know that this sequence came from this genome. Under "Per. Id" you can see the similarity of this sequence to other hits - in this case, you can start by seeing that this sequence is also found in Bat coronavirus, so isn't actually novel at all! And there are many comparative hits that as equally as good, or often better, than the HIV comparison.
``` (2)

```
Let's then take a look at the second sequence, "HKNNKS", together.

If you go through the same search process for this sequence and look again at the results, you can see hundreds of perfectly identical matches. Maybe you see Sipha flava - that's an Aphid, or Tetrahymena - that's an Amoeba. Drosophila is a fruit fly. Clearly this sequence is found in thousands of genomes.

Fortunately, the search has a built in way of answering the question "How likely was this result to have occurred by chance?". It is called the E-value, or Expect Value - the number of times we'd expect to see this result purely by chance. As you can see here, many of the E-values listed on this page are greater than 7829 - so we'd have expected to see 7829 instances of matches like these completely by chance! This is not evidence for gene transfer or gene similarity - it's simply a coincidence. As you now search for the other insertions described by this paper, you'll see that all of them hit hundreds of other genomes simply by chance. It is no surprise at all that they could have matches with some similarity in the HIV genome.

Congratulations! You are now a more careful and proficient bioinformatician than the authors of this paper.
``` <:pepelaugh:544857300179877898><:pepegun:588019479401726001> India superpowa <:powerful:595334910764515338><:powerful:595334910764515338><:powerful:595334910764515338> <:powerful:595334910764515338><:powerful:595334910764515338><:powerful:595334910764515338> <:powerful:595334910764515338><:powerful:595334910764515338><:powerful:595334910764515338> !!!

https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(20)30260-9/fulltext

```
Findings: In our baseline scenario, we estimated that the basic reproductive number for 2019-nCoV was 2·68 (95% CrI 2·47–2·86) and that 75 815 individuals (95% CrI 37 304–130 330) have been infected in Wuhan as of Jan 25, 2020. The epidemic doubling time was 6·4 days (95% CrI 5·8–7·1). We estimated that in the baseline scenario, Chongqing, Beijing, Shanghai, Guangzhou, and Shenzhen had imported 461 (95% CrI 227–805), 113 (57–193), 98 (49–168), 111 (56–191), and 80 (40–139) infections from Wuhan, respectively. If the transmissibility of 2019-nCoV were similar everywhere domestically and over time, we inferred that epidemics are already growing exponentially in multiple major cities of China with a lag time behind the Wuhan outbreak of about 1–2 weeks.
```

http://news.mit.edu/2020/flexible-electronics-stacks-chips-0205

https://olis.leg.state.or.us/liz/2019R1/Downloads/CommitteeMeetingDocument/174947

@n0ne0ther Cyberpunk 2077

all in the past week (27th january): someone on twitter gets their twitter screened when having to have a background check for their job; result is a compilation of tweets (any twitter interaction they have had; not just their own tweets but also tweets they've liked for example) printed out, mailed to them, flagged as bad, inappropriately for "language, bigotry, sexism" - report didn't turn up anything incriminating or even relevant, the person in question did not give them their handle or permission, the company seemingly went out of their way to forcibly try and attach this person's social media to their working life.

profile and activity suggests extreme left-wing, but this type of thing shouldn't be happening to *anyone* - personally i find it especially ironic, given how a lot of the people in this circle would seem to be advocates for this type of behaviour by companies so that the people they disagree with can't be employed because of their political persuasions. in other words, i'm saying what they are asking for is coming back to hurt them and we are beginning to see it now? (and i say this as someone who is left-wing)
see the thread;

https://twitter.com/kmlefranc/status/1221869659139366912

<:pepelaugh:544857300179877898>

this is my amazin study

https://www.cbsnews.com/news/kobe-bryant-helicopter-new-details-give-insight-into-moments-before-crash/
https://www.nytimes.com/aponline/2020/02/07/us/ap-us-kobe-bryant-helicopter-crash-1st-ld-writethru.html
https://apnews.com/1be28f30336c460e594aef4969d06007

"If you exit the bottom of the clouds at 4000 feet per minute at that high speed, you’ve certainly lost control of the aircraft,” air safety consultant Kipp Lau said. He said Bryant’s chopper could have emerged from the clouds in just 12 more seconds, assuming it was ascending at 500 feet (152.40 meters) per minute."

"Investigators said Kobe Bryant's helicopter banked left and abruptly descended at speeds of up to 5,000 feet per minute in its final 12 seconds when it crashed into the Calabasas hillside, killing all nine aboard"

ea : its in the game
illuminati : its a numbers game

@Camera Obscura Esoteric Numerology nice.

@Orwellian Snake did you like it!
2 articles both citing 12 seconds, one for the chance of life, the other the plunge to oblivion. one four thousand feet, one five thousand feet totally 9 thousand feet
kobe 24
42
🙏
🤘

@Camera Obscura why don’t you look at

Rik Clay: 11:11 Numerology and Zion ( New Jerusalem) London Olympics research
Farhank501: The Music Industry Exposed
Chris White: Ancient Aliens Debunked
GreatTruth123: Transhumanism Exposed

You’ll be esoterically enlightened my friend

🐂🖖

Amazin

<:AMAZIN:675030311771308053>

@Orwellian Snake omg thank yo amazin Brother Snake! I have be rebjorn and hens fourth will now be noun as the "Esso-Teriyaki-Lee Enlil-Tenned IV"

chicken of coarse 🐣

https://www.psypost.org/2017/06/straight-mens-physiological-stress-response-seeing-two-men-kissing-seeing-maggots-49217

> Straight men’s physiological stress response to seeing two men kissing is the same as seeing maggots

Incidentally, faggot rhymes with maggot

Coincidence?! I THINK NOT!!

And they still wanna make us believe it's nurture, not nature.

to be fair that only matters if it's been shown that innate disgust is different from things we learn to be disgusted by.

Young Man Yang ran for president
Because he was concerned
To point out flaws, he was not hesitant
And many votes he earned

Many novel ideas he did present
Such as the problems with automation
On these platforms he ran to become president
Alas, not enough for the nomination

The White House did not become his address
And out of the race he had to jump
Because what Young Man Yang did not possess
Was unquenchable hatred against president Donald Trump

Oof.

Conservatives are more easily disgusted than liberals
https://www.tandfonline.com/doi/abs/10.1080/02699930802110007?src=recsys&journalCode=pcem20

https://knpr.org/npr/2020-02/ghost-dna-west-africans-complicates-story-human-origins

So they do have some white in em.

they want $50 to view this thing?

I think that the majority of Trans people are actually suffering from Munchausen syndrome.

hwhat now