Masking the Spread

Check out this NIH study: A comparison of performance metrics for cloth face masks as source control devices for simulated cough and exhalation aerosols...

How well does this work?

Yes, this is a government study.  A study that tells us what the government is telling you about masks is baloney...

From the article:

"Abstract

Universal mask wearing is recommended by the Centers for Disease Control and Prevention to help control the spread of COVID-19. Masks reduce the expulsion of respiratory aerosols (called source control) and offer some protection to the wearer. However, masks vary greatly in their designs and construction materials, and it is not clear which are most effective. Our study tested 15 reusable cloth masks (which included face masks, neck gaiters, and bandanas), two medical masks, and two N95 filtering facepiece respirators as source control devices for aerosols ≤ 7 μm produced during simulated coughing and exhalation. These measurements were compared with the mask filtration efficiencies, airflow resistances, and fit factors. The source control collection efficiencies for the cloth masks ranged from 17% to 71% for coughing and 35% to 66% for exhalation. The filtration efficiencies of the cloth masks ranged from 1.4% to 98%, while the fit factors were 1.3 to 7.4 on an elastomeric manikin headform and 1.0 to 4.0 on human test subjects. The correlation coefficients between the source control efficacies and the other performance metrics ranged from 0.31 to 0.66 and were significant in all but one case. However, none of the alternative metrics were strong predictors of the source control performance of cloth masks. Our results suggest that a better understanding of the relationships between source control performance and metrics like filtration efficiency, airflow resistance, and fit factor are needed to develop simple methods to estimate the effectiveness of masks as source control devices for respiratory aerosols."

Note the underline (mine) above.

Hmmm....  1.4% to 98%

If this were car brakes you'd lose as often as every round trip to the convenience store up to about one out of every fifty trips.

Tell me again how this is helping you or me...?

Old Scott Gottlieb might have been on to something...

VAERS: Truth Hiding In Plain Sight

Looking at the raw VAERS data we see something different in 2021:

When analysis of data is required it's always import to step back and take a hard look at the full scenario, i.e., don't just dive in with hatches tied to your hands and feet, but rather assess the bigger picture...

NOTE: I have done this sort of data analysis professionally for many years.  I am not a "health care" expert but I am familiar with data.

Two things jump out before even opening the VAERS data set:

1. A more than full order of magnitude jump from 2020 to 2021 (and yes, ZIP file size is a more than adequate stand in for actual record counts as you will see).
   
   
2. Two other jumps that may be significant: 2014-2015 and 2017-2018.

In many ways #2 above may be more interesting than #1 because "nothing of note" childhood MMR etc-wise seems to have happened in the US.  Not to say it didn't, but nothing appeared in the "media." I have written about this before a decade ago relative to actual vaccinations (not mRNA injectables - see: Coronavirus: Magical Thinking, Fauci Loves Hillary from 2020 and the original Flu Shots and Magical Thinking for 2010 - yes, that's me in the photo).

But on to the biggest jump...

Sources of data for this post:

https://www.cdc.gov/flu/about/burden/past-seasons.html

https://vaers.hhs.gov/data/datasets.html -- Full data set

https://www.cdc.gov/flu/prevent/vaccine-supply-historical.htm

https://covid.cdc.gov/covid-data-tracker/#vaccinations_vacc-total-admin-rate-total

So I downloaded the 2021 data set (not really .zip files apparently but Keka could process them) and the "full" data set (as of last week).

Using dbeaver and SQL I constructed one set of tables corresponding to the .CSV files for 2021 and one set of tables combining 2010-2020.

My thought was prior to 2021 there was more or less a steady state in the VAERS world so the big lump of data represented by these years would serve as a counterbalance to 2021.  Yes, there was some change, but clearly not at the full order of magnitude seen in 2020 to 2021.

NOTE: This is just preliminary analysis.  At least theoretically some huge, unexplained by the obvious jump could have contributed to 2021 - seems unlikely but something to think about.

I am going to guess about 500 million mRNA injectables for 2020 for this post - close enough for what we are going to look at - but yes, a guess.

So first thing: There are lots and lots of entries for 2021 and, corresponding to each entry between one and five symptoms.  (This seems hokey but it's CSV.  Maybe an ACCESS database living behind it, but who really knows...)

I spent a couple of hours loading the data into a Postgresql database and then wrote a series of queries to convert the five symptom columns into a single column with a count: one for 2021 and a consolidated one for the prior eleven years (2010-2020).

This tells us nothing about the people, what symptoms individuals had, what their specific case was, and so on.  Jessica Rose over on substack has been looking inside.

I was more interested in the general relationship between the data files and the flu (again, refer to the Magical Thinking blog posts for more details).  

The CDC doesn't have 2020/2021 flu data on its site yet so I set those to zero.  I estimated the total number of actual vaccines given per year and concluded that the proportions would be similar.  Thus flu vaccines from the CDC website are the standing.  I also came up with this chart (apologies for the graphical layout - this site isn't great with large images):

What this says to me is that, over time, more actual vaccines are being given (makes sense that the more retired baby boomers there are the more people are getting flu shots) and that each year actual flu cases fluctuate wildly.  This corresponds to the the old Magical Thinking post so this is what I would have expected.

Now we enter the time of mRNA injectables (kind of like edibles I suppose...).

So our "vaccine" count jumps up by about 3x yet our VAERS data increases by more than an order of magnitude. The MMR world, probably around the ten million for each of the CDC recommend vaccines is mostly constant and noise level here (I might be wrong) relative to 2021.

Hmmm.....

Intrigued by this I turned to the symptom data.  Again, this says nothing about people, only what those entering VAERS have done in terms of data entry.

So the first question is this (and not all answered here): What can we say about the nature of the symptom data from the eleven years prior to 2021 compared to 2021?

So the goal of this chart is to relate 2021 with the previous eleven years in terms of raw symptom report counts.  This chart only selects 2021 symptoms that have ten times (10x) or more entries than the entire prior eleven years combined.

So this is kind of interesting... Yellow is the 2021 symptom count, maroon is the average over eleven years and blue is the actual eleven year count.  To simplify think of yellow as 2021 and blue, if you can see it at all, as the comparative value in VAERs for that symptom over the prior eleven years.

There are many thousands of symptoms - this is only the first 80 or so that occur more than ten times the same symptom reported over the prior eleven years (yes I am saying it again).

Several things jump out regarding FDA "symptoms."  Many are not symptoms at all: "Cardiac Stress Test" for example.  So what does that mean?  Did the person being reported on get a stress test? Did they pass or fail? And so on.

These symptom codes come from here: https://www.meddra.org/.  But by themselves its hard to tell what happened.  Yes, there is SYMPTOM_TEXT, but that does not always make things clear either.  Some entries are in the first person: "I experienced X..." others were entered by some kind of medical professional.

You can't always tell what happened or what the outcome was.  Perhaps you'd even have to visit the person and ask to get a clear picture.  Then again, maybe not.

For an agency as large as the FDA you'd think they'd do better...

I also turned this around and asked what symptoms in the last eleven years occurred at a rate of more than an order of magnitude as compared to 2021.  The results were interesting:

The key remains the same but now blue dominates.  The "flavor" is what you'd expect with kid vaccines, not mRNA injectables.

So far we have only talked about data.

So to close I chose two words to search on in the symptom columns to look at the 2021 data versus the last eleven years: "ardiac" for both "Cardiac" and "cardiac" and "ombosis" for all manner of capitalized and uncapitalized "thrombosis."  These are general words which, when people hear from a doctor, seem to cause concern.

For the next two charts the scale along the bottom is logrithmic in order to make them a bit easer to read.

First "ardiac":

And then "ombosis":

"feotal cardiac arrest" kind of jumps out...

Oh wait, nothing to see here...

Covid: Not the only FDA Juggernaut of Death

Dark Horse Pod Cast - Dr. Peter McCullough - Dr. Jessica Rose - Dr. Robert Malone

Covid and the response to it are old news.  The FDA and friends have been crushing lifesaving technology for at least a decade.

If you believe vaping is helping your life then I urge you to read up on the four groups listed above.

If anyone listed above reads this blog, this is well traveled ground.

Many years ago I wrote about the smoking-related 440,000 per year death rate and vaping:

• People coming into my wife's vape shop with blood oxygen in the low 70's only to start vaping and have it move up into the 90's within a day or two.
• Smokers for decades stopping cold.
• Mrs. Wolf has vaped for a decade as have all my formerly smoking children without a single ill effect (same for million in the US, the UK and around the world).
• Grandchildren do not smoke.
• In the UK vape shops are present in hospitals.
• From what little data is available sales tax for cigarettes began plummeting in 2011 or 2012 - no doubt due to vaping (see NJ and it's general fund below).
• Smoking "health care" I estimate to be its own, internal-to-the-US economy equal to that of Czech Republic, Peru or Iran (perhaps $150 Billion).

Vaping stood to stop the annual smoking deaths.  Children no longer smoking. My wife and millions of others regaining pulmonary health.

Until the FDA killed vaping.

(After all, all those health care professionals need a job.  If smoking weren't killing people there would be massive unemployment.)

Remember, in other parts of the world vaping medically and actually stops people form smoking smoking.

But not here in the US.

Why?

Money, of course, just like with Covid.

The FDA attempted to classify software and electronics as a "tobacco product" until this blog put a stop to it.

The FDA killed vaping for the "children" and the "addiction" of nicotine - the same children in the FDA VAERS database (Jessica Rose) who are now dying from the jab...

The same children now put "beneath" adult teachers (teachers too scared to work; see NYT: Admits Policy Makers Put Adult Health Before Children During Pandemic).

So while Covid "rages" 880,000 smoking "deaths" have occurred.

(New Jersey spent its "Tobacco Settlement Funds" unwisely and now needs more smokers to exist to pay its bills: NJ set to hand over millions in tobacco cash).

It used to be the thought of evil government depopulating the country to be was tin foil hat territory.

No longer...

It's not just Tony Fauci, Trump, Joe Biden, etc.

It's entire state governments as well as the federal government.

All one giant conspiracy to sell fear porn and add you to the depopulation list.

Masks: Gottlieb's Change Of Heart

(NOTE: If you want more internet information on these topics, make sure to use DuckDuckGo for searches.  Don't believe me, try identical searches on these topics on both...)

On April 19th, 2020 I published Coronavirus: Masks and Gloves are a Joke - of course this was total heresy.  In the bold, old days of Covid I was harassed in Walmart for not wearing a mask: "You're going to kill people!" they said.

Yet this past Sunday our old vaping friend and former FDA head Scott Gottlieb, on the CBS news show "Face the Nation" said "Cloth masks aren't going to provide a lot of protection, that's the bottom line. This is an airborne illness. We now understand that, and a cloth mask is not going to protect you from a virus that spreads through airborne transmission. It could protect better through droplet transmission, something like the flu, but not something like this coronavirus."

From the blog post:

Of course, it's been true all along that masks do nothing.

It's nice to see the former FDA head and Pfizer on board now...

You can see from this WSJ video (March 24, 2020) Scott told a somewhat different story.

Wonder why???

Covid, Delta and Omicron are all the same size - just a few minor adjustments to the base pairs make them different.  They just pass through the cloth...

And then the CEO of AmericaOne (a $100 billion dollar insurance agency), Scott Davidson, says “We are seeing, right now, the highest death rates we have seen in the history of this business – not just at OneAmerica ... The data is consistent across every player in that business ... death rates are up 40% over what they were pre-pandemic.”

But wait, these are not necessarily "Covid deaths..." - “What the data is showing to us is that the deaths that are being reported as COVID deaths greatly understate the actual death losses among working-age people from the pandemic. It may not all be COVID on their death certificate, but deaths are up just huge, huge numbers.”

Maybe it's this: "5-fold increase in sudden cardiac and unexplained deaths among FIFA athletes in 2021" from here (use Google Translate)...?

On the other hand, Tyra Grove Krause – the Chief Epidemiologist at Denmark’s State Serum Institute – has said the Omicron variant is bringing about the end of the pandemic, saying “we will have our normal lives back in two months”.

And then there's "Vaccine Effectiveness Drops to Minus-75% in 18-29 Years-Olds as Omicron Slices Through Vaccine Protection and Booster Effect Starts to Wear Off" based on the UK Health Security Agency's report (see this).

And who can forget Dr. Robert Malone and Joe Rogan #1757 (December 31, 2021)...

And how about Joe Rogan and Dr. Peter A. McCullough.