Message from @Felix
Discord ID: 672492079913369613
Harumf I say, being extremely undesirable puritans in your prime time couldn't possibly have any negative affects. *Oh wait*
The old fart still got it.
https://innophore.com/2019-ncov/ https://www.ncbi.nlm.nih.gov/nuccore/MN985325 https://www.mdpi.com/1999-4915/12/2/135/htm http://engine.scichina.com/publisher/scp/journal/SCLS/doi/10.1007/s11427-020-1637-5?slug=fulltext ```
Some actual scientific studies on the avaliable data ncov-2019 ``` https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(20)30154-9/fulltext
Brace yourselves .. the British Isles are vacating Europe and floating off into the Atlantic.
https://www.theguardian.com/politics/2020/jan/26/farewell-europe-the-long-road-to-brexit?CMP=twt_b-gdnnews#Echobox=1580025575
put speedboat motors all around the southeastern coast
That's missing a lot of information
It's open source, so it relies on people adding their area data
Looks like they've designed a data parsing tool that scans a data source for the percentages, then translates that into the visual representations
@DoctorPhobos Does anyone have a link to that fine piece of entertainment you quoted?
@KingNullPointer Let's see if this works... https://drive.google.com/file/d/1DSwNsvA_1flxPJ94kD6uogptF6_98qNn/view?usp=drivesdk
Thoughts on this thing from 2015?
https://www.the-scientist.com/news-opinion/lab-made-coronavirus-triggers-debate-34502
Do pigmentation and the melanocortin system modulate aggression and sexuality in humans as they do in other animals?:
https://www.sciencedirect.com/science/article/pii/S0191886912000840
https://www.researchgate.net/publication/6683534_The_melanocortin_agonist_Melanotan_II_enhances_proceptive_sexual_behaviors_in_the_female_rat
https://www.antena3.ro/actualitate/romania-solutie-ingenioasa-impotriva-coronavirusului-556571.html
Romanians found a potential vaccine for the Corona virus. But It's expensive to make and it only works on European Caucasians
My man's got that ***gamer*** blood
Nice. Let's hope we can learn from him.
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
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
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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> !!!
```
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.
```
@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