the US runs its covid testing at 40Ct.
this is 1024X the amplification level of this cutoff for finding live virus that is in any way clinically relevant.
but please, tell me again how demanding more such testing is "science" and not "flooding the data w/ meaningless positives"
A systematic review published 12/3/20 by the Oxford U Ctr for Evidence-Based Med has confirmed that C19 rtPCR testing patient sample cycle thresholds (Cts) >30 (mean from 6-studies) are associated with NEGATIVE viral cultures, i.e., are non-infectious https://t.co/t79dSHnHgn
— Andrew Bostom (@andrewbostom) December 6, 2020
More from el gato malo
this is LA department of health services hospital census. it's essentially identical to the levels from last year.
the media have had a severe tendency to overstate these issues. https://t.co/ktTPIbKcdQ

Overwhelmed LA hospitals brace for new wave as staff move gurneys into gift shops with a patient dying every 10 MINUTES. https://t.co/CW19DYzCn9
— John FitzGerald (@TheTweetOfJohn) December 27, 2020
as you can see, visits to emergency departments have been quite stable for 4 months.

and ICU bed availability has been flat for the whole month of december.
keep in mind that 90-100% ICU capacity is normal this time of year and that all ICU's must be able to flex to 120% (by federal law) and most can hit 150%.

and if you will not take my word for it, just ask the CEO's of the hospitals in texas everyone was so breathless about this summer.
they were not worried. and they were
it's sort of interesting:
— el gato malo (@boriquagato) June 26, 2020
everyone is freaking out about texas hospitals except for the people who actually run texas hospitals.
this pretty much tells you everything you need to know about the panic patrol and their relationship to facts.https://t.co/4H4ocDFoCs
hospital census in LA seems to be about 3000 patients below where it was in july.
this seems to imply a drop in staffed beds which, contrary to the narrative is not from "exhaustion" but rather from people being laid off or staying home because kids are not in school.

this morning, there was no link to it in a direct google search.
now, there is.
could this be because certain internet felines noticed this and @chiproytx and @tedcruz helped call them out on this?
we may never know.

but i'd like to think so.
the google page is still a mess. it's still mostly fringe publication hit pieces and conspiracy theories.
when "mother jones" is your top media result for a science search, well, that says it all, doesn't it?
yikes.
i mean, why would we trust THESE people instead of a reporter at one of the most partisan rags on earth? oh, wait..
they are not being censored for being wrong. they're being censored for being right and being credible
they're censored because the other side cannot rebut them

and that is simply not a thing we can or should tolerate, especially not in a search engine.
so remember this. look for it in the future. demand primary sources.
use other search engines.
bing seems to be seeking to inform, not to inflame and mislead.

if you missed it, the original thread was here:
(and yes, lots of people duplicated my finding this morning)
i'd be curious to see what they are all seeing
from the "make orwell fiction again" files:
— el gato malo (@boriquagato) October 10, 2020
google has memory holed the great barrington declaration
not only have they wiped it from the top results, they have salted it with false claims about "climate denial"
it's pure, simple propaganda
here's bing (who plays it straight) pic.twitter.com/kTdhH8zXia
these have been sold as a way to stop infection as though this were science.
this was never true and that fact was known and knowable.
let's look.

above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.
we can see this same relationship between NPI and all cause deaths.
this is devastating to the case for NPI.

clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.
barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.
this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.
there is no science here nor any data. this is the febrile imaginings of discredited modelers.
this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.
everyone got the same R
this methodology is a little complex, so let me explain what i did.
— el gato malo (@boriquagato) May 30, 2020
a few EU countries provide real day of death data. this lets us plot meaningful curves to show rate of disease change.
what struck me is how similar all the curves were.
everyone got the same shape. pic.twitter.com/bN0hILzoSl
also attaching 2 past debunkings of widely disseminated US studies that health officials have attempted to
first, the kansas study spread by CDC and so many "twitterdocs" and politicians.
it's a master class in cherry picking and misusing data through truncation.
the data proving it was false was widely available at the time it was
CDC claims that masks stopped the spread of covid in kansas by comparing masked and non-masked counties.
— el gato malo (@boriquagato) November 23, 2020
counterpoint: this was a cherry pick in terms of date and seasonality.
they ended the "study" aug 23.
then, covid season hit and the masks look to have made no difference. https://t.co/LgyjqPodOC pic.twitter.com/P2cfuZRtDs
also the mass general study, a classic of the "sun-dance" variant: use no control group and then presume that any action undertaken was the result of some thing you did.
ignore the fact that the whole rest of (unmasked) massachusetts got the same
this is from the study that CDC head robert redfield showcased the other night to "prove masks work"
— el gato malo (@boriquagato) July 28, 2020
it it the epidemiological equivalent of doing a sun dance at 5.30 AM and claiming you made that ball of fire in the sky appear
it's assumptive, lacks a control, & proves nothing pic.twitter.com/yTdBa7UFit
the fact that CDC has been spreading studies like these and using them alongside flimsy lab bench experiments with no clinical outcomes or even real world measurement speaks poorly of both CDC & the evidence for masks
the good studies do not support use
back in the halcyon days of 2019, before the great politicization of epidemiology turned up into down and down into sideways, the WHO performed a survey of randomized, controlled trials on masks
— el gato malo (@boriquagato) September 28, 2020
1100 citations were winnowed to the 10 best for review.
masks looked ineffective. pic.twitter.com/A04MVVmXhu
and lab bench droplet projection studies are meaningless.
it's one tiny aspect of a large system and may actually be counterproductive if masks are nebulizing droplets and making virus more aerosol in spread and more deeply
this is a fascinating thread on possible physical properties of masks, viral spread, & infectivity
— el gato malo (@boriquagato) October 24, 2020
in essence, even if a mask stops large droplets, the force of expulsion may nebulize them into aerosols
so, it's possible that aerosol spread of cov is caused/accentuated by masks https://t.co/FiHfMU3NKD
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Further Examination of the Motif near PRRA Reveals Close Structural Similarity to the SEB Superantigen as well as Sequence Similarities to Neurotoxins and a Viral SAg.
The insertion PRRA together with 7 sequentially preceding residues & succeeding R685 (conserved in β-CoVs) form a motif, Y674QTQTNSPRRAR685, homologous to those of neurotoxins from Ophiophagus (cobra) and Bungarus genera, as well as neurotoxin-like regions from three RABV strains
(20) (Fig. 2D). We further noticed that the same segment bears close similarity to the HIV-1 glycoprotein gp120 SAg motif F164 to V174.
https://t.co/EwwJOSa8RK

In (B), the segment S680PPRAR685 including the PRRA insert and highly conserved cleavage site *R685* is shown in van der Waals representation (black labels) and nearby CDR residues of the TCRVβ domain are labeled in blue/white
https://t.co/BsY8BAIzDa

Sequence Identity %
https://t.co/BsY8BAIzDa
Y674 - QTQTNSPRRA - R685
Similar to neurotoxins from Ophiophagus (cobra) & Bungarus genera & neurotoxin-like regions from three RABV strains
T678 - NSPRRA- R685
Superantigenic core, consistently aligned against bacterial or viral SAgs
