Neonicotinoids and why they need to stay banned đ
#SciComm #ScienceTwitter #SaveTheBees #ClimateEmergency #ClimateCrisis
Sounds like a good case for neonics, right?
reduce consumption of sugary products from 2022. In the UK, we use 100,000 hectares of prime arable land to grow sugar. Not only is this crop terrible for our already damaged soil, but it is terrible for us!
If the government is serious about reducing the amount of sugar we eat, why are they risking the stability of our ecosystems to save it?
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I think we have to expand our thinking about the toroidal sphere even more. When looking at maps, I noticed the da Vinci map, from 1514, which uses the Reuleaux Triangle. This triangle is formed from 3 intersecting circles, and is in the center of a trefoil.
The trefoil is the focal point in many gothic structures, repeatedly and prominently shown. It is represented in many ways. âGoing down the rabbit holeâ now makes sense, if you understand the center point of the ears is the center of the torus, with the rabbit trefoil.
The trefoil can be found within the toroidal field. Here is a fun site, where you can manipulate it yourself. https://t.co/FCMcybuuFC
The wiki page makes it seem like there isnât much of importance with the Reuleaux Triangle, besides being used for coinage, or some stupid bike. But the Wankel engine is an interesting engine, using this geometric design https://t.co/ayPOgkAqGN
https://t.co/m9EaWwF796
The trefoil is the focal point in many gothic structures, repeatedly and prominently shown. It is represented in many ways. âGoing down the rabbit holeâ now makes sense, if you understand the center point of the ears is the center of the torus, with the rabbit trefoil.
The trefoil can be found within the toroidal field. Here is a fun site, where you can manipulate it yourself. https://t.co/FCMcybuuFC
The wiki page makes it seem like there isnât much of importance with the Reuleaux Triangle, besides being used for coinage, or some stupid bike. But the Wankel engine is an interesting engine, using this geometric design https://t.co/ayPOgkAqGN
https://t.co/m9EaWwF796
Recently I learned something about DNA that blew my mind, and in this thread, I'll attempt to blow your mind as well. Behold: Chargaff's 2nd Parity Rule for DNA N-Grams.
If you are into cryptography or reverse engineering, you should love this.
Thread:
DNA consists of four different 'bases', A, C, G and T. These bases have specific meaning within our biology. Specifically, within the 'coding part' of a gene, a triplet of bases encodes for an amino acid
Most DNA is stored redundantly, in two connected strands. Wherever there is an A on one strand, you'll find a T on the other one. And similarly for C and G:
T G T C A G T
A C A G T C A
(note how the other strand is upside down - this matters!)
If you take all the DNA of an organism (both strands), you will find equal numbers of A's and T's, as well as equal numbers of C's and G's. This is true by definition.
This is called Chargaff's 1st parity rule.
https://t.co/jD4cMt0PJ0
Strangely enough, this rule also holds per strand! So even if you take away the redundancy, there are 99% equal numbers of A/T and C/G * on each strand *. And we don't really know why.
This is called Chargaff's 2nd parity rule.
If you are into cryptography or reverse engineering, you should love this.
Thread:
DNA consists of four different 'bases', A, C, G and T. These bases have specific meaning within our biology. Specifically, within the 'coding part' of a gene, a triplet of bases encodes for an amino acid
Most DNA is stored redundantly, in two connected strands. Wherever there is an A on one strand, you'll find a T on the other one. And similarly for C and G:
T G T C A G T
A C A G T C A
(note how the other strand is upside down - this matters!)
If you take all the DNA of an organism (both strands), you will find equal numbers of A's and T's, as well as equal numbers of C's and G's. This is true by definition.
This is called Chargaff's 1st parity rule.
https://t.co/jD4cMt0PJ0
Strangely enough, this rule also holds per strand! So even if you take away the redundancy, there are 99% equal numbers of A/T and C/G * on each strand *. And we don't really know why.
This is called Chargaff's 2nd parity rule.
@mugecevik is an excellent scientist and a responsible professional. She likely read the paper more carefully than most. She grasped some of its strengths and weaknesses that are not apparent from a cursory glance. Below, I will mention a few points some may have missed.
1/
The paper does NOT evaluate the effect of school closures. Instead it conflates all âeducational settings' into a single category, which includes universities.
2/
The paper primarily evaluates data from March and April 2020. The article is not particularly clear about this limitation, but the information can be found in the hefty supplementary material.
3/
The authors applied four different regression methods (some fancier than others) to the same data. The outcomes of the different regression models are correlated (enough to reach statistical significance), but they vary a lot. (heat map on the right below).
4/
The effect of individual interventions is extremely difficult to disentangle as the authors stress themselves. There is a very large number of interventions considered and the model was run on 49 countries and 26 US States (and not >200 countries).
5/
1/
I've recently come across a disinformation around evidence relating to school closures and community transmission that's been platformed prominently. This arises from flawed understanding of the data that underlies this evidence, and the methodologies used in these studies. pic.twitter.com/VM7cVKghgj
— Deepti Gurdasani (@dgurdasani1) February 1, 2021
The paper does NOT evaluate the effect of school closures. Instead it conflates all âeducational settings' into a single category, which includes universities.
2/
The paper primarily evaluates data from March and April 2020. The article is not particularly clear about this limitation, but the information can be found in the hefty supplementary material.
3/
The authors applied four different regression methods (some fancier than others) to the same data. The outcomes of the different regression models are correlated (enough to reach statistical significance), but they vary a lot. (heat map on the right below).
4/
The effect of individual interventions is extremely difficult to disentangle as the authors stress themselves. There is a very large number of interventions considered and the model was run on 49 countries and 26 US States (and not >200 countries).
5/
