did you consider checking the facts before buying into such hysterical claims?
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
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%.
they were not worried. and they were correct.
https://t.co/fk3ox76Eri
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
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.
all seem to be reporting that business is deader than disco.
this seems dissonant with the idea that there are just no staff available to man beds especially with so much of the US <70%.
76% of beds full. 85% ICU.
it's not like LA is not connected to things.
they do this in every state when their seasonality comes and no one has been overwhelmed yet. not one state.
https://t.co/tW2nC5d19C
it's disappointing to see that we are back in the "media scare stories about hospitals" stage.
— el gato malo (@boriquagato) December 7, 2020
the good news is that, just like last time, this is simply not the case.
they either have no idea what they are saying or are seeking to mislead.
let's look.https://t.co/eWyj2txAh6
javits was never used. neither was the hospital ship.
they likely got hit harder by this flu in 2018.
perspective matters.
let's keep some.
https://t.co/t9GGMQL8pt
More from el gato malo
for those looking for a compendium of mask studies this set from swiss policy research looks useful and has some good links and discussion.
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
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
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
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
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
global health policy in 2020 has centered around NPI's (non-pharmaceutical interventions) like distancing, masks, school closures
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
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
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"
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
this simple, counter narrative fact keeps cropping up all over the world.
hospital and ICU utilization has been and remains low this year.
it's terribly curious that so few of these monitoring tools provide historical baselines.
getting them is like pulling teeth.
we might think of this as an oversight until you see stuff like this:
this woman was arrested for filming and sharing the fact that their are empty hospitals in the UK.
that's full blown soviet. what possible honest purpose does that
this is the action of a police state and a propaganda ministry, not a well intentioned government and a public heath agency.
"we cannot let people see the truth for fear they might base their actions on real facts" is not much of a mantra for just governance.
90% full ICU sounds scary until you realize that 90-100% full is normal in flu season.
staffed ICU beds are expensive to leave empty. it's like flying with 15% of the plane empty. hospitals don't do that.
and all US hospitals are mandated to be able to flex to 120% ICU.
the US is currently at historically low ICU utilization for this time of year.
61% is "you're all going to go out of business" territory as is 66% full hospital use.
can you blame them for mining CARES act money? they'll die without it.
hospital and ICU utilization has been and remains low this year.
it's terribly curious that so few of these monitoring tools provide historical baselines.
getting them is like pulling teeth.
It took a Freedom of Information request but @Covid19DataUK acquired 2017-2019 averages for England hospitalizations.
— Yinon Weiss (@yinonw) December 31, 2020
2020 had 18% fewer hospitalizations than prior years.
All around the world, using hospital data without context of prior years is just a fear generating lie. pic.twitter.com/DJDpqhIQuw
we might think of this as an oversight until you see stuff like this:
this woman was arrested for filming and sharing the fact that their are empty hospitals in the UK.
that's full blown soviet. what possible honest purpose does that
this is the action of a police state and a propaganda ministry, not a well intentioned government and a public heath agency.
"we cannot let people see the truth for fear they might base their actions on real facts" is not much of a mantra for just governance.
90% full ICU sounds scary until you realize that 90-100% full is normal in flu season.
staffed ICU beds are expensive to leave empty. it's like flying with 15% of the plane empty. hospitals don't do that.
and all US hospitals are mandated to be able to flex to 120% ICU.
the US is currently at historically low ICU utilization for this time of year.
61% is "you're all going to go out of business" territory as is 66% full hospital use.
can you blame them for mining CARES act money? they'll die without it.
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Facebook originally a CIA program called "LifeLog".
LifeLog, via DARPA, terminated on Feb 4th, 2004.
Facebook was launched on Feb 4th, 2004.
Many of the LifeLog team became execs at FB.
Zuckerberg is a figurehead.
CIA allowed Cambridge to help Trump win
https://t.co/enzOXDCogV
Pentagon Kills LifeLog
LifeLog, via DARPA, terminated on Feb 4th, 2004.
Facebook was launched on Feb 4th, 2004.
Many of the LifeLog team became execs at FB.
Zuckerberg is a figurehead.
CIA allowed Cambridge to help Trump win
https://t.co/enzOXDCogV
Project: Lifelog
— Robert Horan (@Robby12692) December 13, 2018
Started by DARPA in 1999, the goal of Lifelog was to create a database on civilians without their knowledge, and track everything they do.
The project "ended" on Feb 4th, 2004.
Facebook began the exact same day.
The CIA funneled tens of millions into Facebook. pic.twitter.com/r7hwF0v9kh
Pentagon Kills LifeLog
