https://t.co/Xe5xFdtDfO
https://t.co/e3RBxj0ly3
https://t.co/cJlCMqyP2v
https://t.co/5n5TK67iKB
https://t.co/r5JIAWB9Oq

More from Billy Bostickson 🏴👁&👁 🆓

1. High Probability of serial passaging in Transgenic Mice expressing hACE2 in genesis of SARS-COV-2!
2 papers:
Human–viral molecular mimicry
https://t.co/irfH0Zgrve
Molecular Mimicry
https://t.co/yLQoUtfS6s

2. Must Read! Confirmation with supporting evidence via @flavinkins
https://t.co/NEf9HK6ReB
"ONLY place where this thing could emerge, naturally or Artificially, is by passage in HUMANIZED MICE"

3. Springer Article


4. Takeaway most significant quotes from Springer Article, burn this into your brain:
"Such a peptide commonality is unexpected and highly improbable from a mathematical point of view"


5. One image to explain it all!
1. Messy Thread exploring connections between
@DARPA @doddtra PREDICT & @EcoHealthNYC
What happened to FLIRT?
https://t.co/wgttFlgcP1
EcoHealth Alliance analyzed all airports in the US by assessing how often passengers trickle in from areas with confirmed cases of Zika virus.

2. “I believe this is something that people should know,” said Andrew Huff, vice-president of group, who oversees efforts to forecast the spread of infectious diseases. “If you know where an infectious disease is, you can take precautions.”
Andrew Huff used to run their database


3. Andrew Huff
https://t.co/yqP8NbiN5X
Data papers:
https://t.co/mCdcAMTHNW
FLIRT (Zika)
https://t.co/MyUM3mt6c3
MANTLE https://t.co/dBsFAixRXv
MANTLE

4. GRITS and EcoHealth Alliance and DTRA
Global Disease Warning Software - May 28, 2015
EcoHealth Alliance and its Partners Create Biosurveillance Application with $2.2 million grant from the DTRA to continue the development of disease warning software

Global Rapid Identification Tool System (GRITS) software developed with ProMED, International Society for Infectious Disease, & Kitware
Biosurveillance app that enables infectious disease analysts to monitor textual data sources for infectious disease threats in near real time.
@snip96581187 @Daoyu15 @lab_leak @walkaboutrick @ydeigin @Ayjchan @franciscodeasis @TheSeeker268 @angie_rasmussen Clearly, because as I have been saying for 8 months now, DTRA and DARPA have been using Ecohealth and UC Davis to collect novel pathogens for gain of function work back in the USA. I have documented this in many threads which I will post here just to annoy everyone.

@Daoyu15 @lab_leak @walkaboutrick @ydeigin @Ayjchan @franciscodeasis @TheSeeker268 @angie_rasmussen


@Daoyu15 @lab_leak @walkaboutrick @ydeigin @Ayjchan @franciscodeasis @TheSeeker268 @angie_rasmussen


@Daoyu15 @lab_leak @walkaboutrick @ydeigin @Ayjchan @franciscodeasis @TheSeeker268 @angie_rasmussen


@Daoyu15 @lab_leak @walkaboutrick @ydeigin @Ayjchan @franciscodeasis @TheSeeker268 @angie_rasmussen
1. Thread: RaTG13 Real or Fake?
A Norwegian Scientist @Vehuardo recently claimed RaTG13 is an "authentic virus"
https://t.co/tAXMNTwdhA
This failed to take into account the work of our DRASTIC colleagues & other published analyses.
This thread is a polite attempt to educate.

2.
https://t.co/tw606vgHwp
which says RaTG13 doesn't make sense on how it was sequenced, or how the data got so messed up in the lab as to include copy paste mistakes, bat dna, pangolin dna, rice dna, mice dna, & nobody should use it to form conclusions until it's properly vetted

2 (cont)
"sequence is incomplete & provided segment doesn't function. The identified markers suggest partial match basis & actual virus itself as described by the sequence can't functionally exist due to incoherent structures that appear to be the result of sample contamination"


3. RaTG13 integrity is further attacked here:
The Validity of critical pieces of evidence for the natural origin of SARS-CoV-2 is Dubious, and needed to be

4. and here:
Major Concerns on the Identification of Bat Coronavirus Strain RaTG13 and Quality of Related Nature

More from Science

"NO LONGER BEST IN THE WORLD"
UNEP's new Human Development Index includes a new (separate) index: Planetary pressures-adjusted HDI (PHDI). News in Norway is that its position drops from #1 to #16 because of this, while Ireland rises from #2 to #1.
Why?

https://t.co/aVraIEzRfh


Check out Norway's 'Domestic Material Consumption'. Fossil fuels are no different here to Ireland's. What's different is this huge 'non-metallic minerals' category.
(Note also the jump in 1998, suggesting data problems.)
https://t.co/5QvzONbqmN


In Norway's case, it looks like the apparent consumption equation (production+imports-exports) for non-metal minerals is dominated by production: extraction of material in Norway.
https://t.co/5QvzONbqmN


And here we see that this production of non-metallic minerals is sand, gravel and crushed rock for construction. So it's about Norway's geology.
https://t.co/y6rqWmFVWc


Norway drops 15 places on the PHDI list not because of its CO₂ emissions (fairly high at 41st highest in the world per capita), but because of its geology, because it shifts a lot of rock whenever it builds anything.
1/ Automobiles and Intake Fraction. Since cars are back in the news I thought I would retweet this model result I offered in early April 2020. I focused only on 1 micron particles & accounted for windows completely closed & cracked slightly open.


2/ Related air exchange rates were based on experimental results in literature for mid-sized sedans. Particle deposition to indoor surfaces were accounted for, as the surface to volume ratio in a 3 m3 cab is large. An important outcome was the intake fraction (IF)

3/ Here, IF is the number of particles (or virions in collective particles) inhaled by a receptor DIVIDED BY the number or particles (or virions in collective particles) emitted by an infector.

4/ Integrated over the two hour drive (in this example) the IF for all windows closed & a receptor at rest is 0.08 (8% of what comes out of the infectors respiratory system ends up in the respiratory system of the receptor). 8%! That is a very high intake factor.

5/ With additional ventilation from cracking a window open drops the IF to 0.012 (1.2%) still relatively high. Can get lower by opening more windows.

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