Q ~ Trust Trump's Plan ~ 10/25/21 Vol.377, Q Day 1459

thanks for that.
scratching my head how he can do that.

explained pretty well here:

https://www.washingtonpost.com/politics/trump-fundraising/2021/10/29/5b5a2e64-31b1-11ec-a1e5-07223c50280a_story.html

Maybe there is a way for you to ask on the Front Line Docs’ site?

These were the same yahoos that referred to the Tea Party as teabaggers...

shouldn’t that scarf be red?

https://rumble.com/voh4hm-election-fraud-by-cruise-control-pid-update-draza-smith-and-jeff-odonnell.html

Who are they please?

DJT son #2

I’d support that guy if he returned and….. can’t say the rest

Let’s all chant now...

“Gotta Go, Biden!”

agree

Thanks!

.

NO neck breaky knots! Just hang and flail until dead…

I saw the New York Post ran a story today on what were apparently Hutchins’s last words: “Tell Bagster he was right!”

BREAKING: The CDC calculated 75% (+/- 5%)
of pregnant mothers "VAX"-raped
would have spontaneous abortions.

Thereafter, the CDC
KNOWINGLY FORCED THIS ON NURSING AND PREGNANT WOMEN.
... while withholding every real cures.

complete scientific Pdf of this Atrocity by the CDC

TICKER GUY - ANALYSIS ALSO AGREES THAT DEATHS ARE ASSOCIATED WITH SPECIFIC LOTS:

Uh, That’s Not A Conspiracy Theory
[Comments enabled]

There is an article floating around from The Expose that makes an explosive claim: There is a wildly statistically-significant skew in the death rate from Covid-19 vaccines by lot number.

What originally got my attention was the tinfoil hat crowd screaming about lots being intentionally distributed to certain people to kill them — in other words certain Covid-19 vaccine lots were for all intents and purposes poisoned. That was wildly unlikely so I set out to disprove it and apply some broom handles to the tinfoil hatters heads. What I found, however, was both interesting and deeply disturbing.

Lots are quite large, especially when you’re dealing with 200 million people and 400 million doses. Assuming the lots are not preferentially assigned to certain cohorts (e.g. one goes to all nursing homes, etc) adverse reactions should thus be normally distributed between lots; if they’re not one of these things is almost-certainly true:

There is a serious manufacturing quality problem or you produced something without understanding how it would work in the body and thus failed to control for something you had to in order to wind up with reproduceable results. That is, some lots are ok, others are contaminated, have too much or too little of the active ingredient in them, some produce wildly more spike-protein than others in the body when injected, etc.

OR

Much worse, the lots are intentionally segregated to produce different results. This implies some sort of nefarious intent such as killing people on a differential basis or that the manufacturers are running unsanctioned experiments on a mass basis among the population at-large, since they know what is in each lot and intentionally varied the contents.

OR

Perhaps worst of all, reports are now being intentionally suppressed, the injury and death rate hasn’t changed and there are lots with one of the two above problems but it is being intentionally not reported, having been detected almost-instantly and health providers were directed to not report anything serious (e.g. death) associated with the jabs.
Now let’s talk about VAERS. You can grab the public data from it, but VAERS intentionally makes it difficult to discern differences in lot outcomes. Why? Because they separate out the specifics of the vax (the manufacturer, lot number, etc.) into a different file. This means that simply loading it into Excel does you no good and attempting to correlate and match the two tables in Excel itself is problematic due to the extreme size of the files — in fact, it blew Excel up here when I tried to do it.

Let’s step back a bit in history. VAERS came into being because back in the 1970s the producers of the DTP shot had a quality control problem. Some lots had way too much active ingredient in them and others had nearly none. This caused a crap ton of bad reactions by kids who got the jabs and parents sued. Liability insurance threatened to become unobtanium (gee, you figure, after you screw a bunch of kids who had to take mandatory shots?) and thus the manufacturers pulled the DTP jab and threatened to pull all vaccines from the market.

Congress responded to this by giving the vaccine firms immunity and setting up a tax and arbitration system, basically, to pay families if they got screwed by the vaccines. Rather than force the guilty parties to eat the injuries and deaths they caused they instead exempted the manufacturers and socialized the losses with a small tax on each shot.

Part of this was VAERS. We know VAERS understates adverse events because it while it is allegedly “mandatory” it is subject to clinical judgment and there is a wild bias against believing that these jabs, or any jab for that matter, has bad side effects. In addition there is neither a civil or criminal penalty of any kind for failure to report. We now know some people who have had bad side effects from the Covid-19 jabs have shown up on social media after going to the doctor and then tried to find their own record, which is quite easy to do if you know the lot number from your card, what happened and the date the event happened — their doctor never filed it. This does not really surprise me since filing those reports takes quite a bit of time and the doctor isn’t paid for it by the government or anyone else, so even without bias there will be those who simply won’t do the work unless there are severe penalties for not doing so. There are in fact no penalties whatsoever. The under-reporting does not have a reliable boundary on it, but estimates are that only somewhere between 3% and 10% of actual adverse events get into the database. That’s right — at best the adverse event rate is ten times that of what you find in VAERS.

But now it gets interesting because VAERS, it appears, was also deliberately set up to make it hard for ordinary people to find a future correlation between injury or death and vaccine lot number.

NOTE THAT THIS EXACT CIRCUMSTANCE — THAT MANUFACTURERS HAD QUALITY CONTROL PROBLEMS ORIGINALLY — IS WHY VAERS EXISTS. YOU WOULD THINK THAT IF CONGRESS WAS ACTUALLY INTERESTED IN SOLVING THE PROBLEM THIS WOULD BE THE EASIEST SORT OF THING TO MONITOR AND WOULD BE REGULARLY REPORTED. YOU’D ALSO THINK THERE WERE STRONG CIVIL AND EVEN CRIMINAL PENALTIES FOR NOT REPORTING ADVERSE EVENTS.

You’d be wrong; the data is across two tables and uncorrelated as VAERS releases it and there is no quick-and-easy reporting on their site that groups events on a comparative basis by lot number. While it is possible to do this sort of analysis from their web page it’s not easy.

But, grasshopper, I have Postgres. Indeed if you’re reading this article it is because I both have it and know how to program against it; this blog is, in fact, stored in Postgres.

Postgres, like all databases, is very good at taking something that can be foreign-key related and correlating it. In fact that’s one of a database’s prime strengths. Isn’t SQL, which I assume VAERS uses as well, wonderful?

So I did exactly that with the data found here for 2021.

And..... you aren’t going to like it.

Having loaded the base table and manufacturer tables related by the VAERS-ID I ran this query:

karl=> select vax_lot(vaers_vax), count(vax_lot(vaers_vax)) from vaers, vaers_vax where vaers_id(vaers) = vaers_id(vaers_vax) and died=’Y’ and vax_type=’COVID19’ and vax_manu(vaers_vax)=’MODERNA’ group by vax_lot(vaers_vax) order by count(vax_lot(vaers_vax)) desc;

This says:

Select the lot, and count the instances of that lot, from the VAERS data where the report ID is in the table of persons who had a bad reaction, said bad reaction was that they died, where the vaccine is a Covid-19 vaccine and where the manufacturer is MODERNA. Order the results by the count of the deaths per lot in descending order.

There are 547 unique lot entries that have one or more deaths associated with them. Some of the lot numbers are in the wrong format or missing, as you can also see. That’s not unusual and in fact implicates the ordinary failure to get things right when people fill out the input. For example “Moderna” in the above results is clearly not a lot number. I’ve made no attempt to “sanitize” the data set in this regard and, quite-clearly, neither has VAERS even months after the fact with their “alleged” follow-up on reports.

But there is a wild over-representation in deaths of just a few lots; in fact fewer than 50 lots account for all lots where more than 20 associated deaths accumulated and out of the 547 unique entries fewer than 100 account for all those with more than 10 deaths.

Normal distribution my ...SNIP...

https://market-ticker.org/akcs-www?post=244109

Yeah, that's real.

I'd say it's dispositive of all argument to the contrary.

And kudos to him for suggesting a reason that hadn't occurred to me: experiments on the down low by varying lot contents.

Makes the comment from a few days ago about the kids getting the jab

"We Won't Know Until They Are Jabbed, and 'That's Just the Way it Goes'."

suddenly meaningful, much more so than Pelosi's cruel, sneering "we have to pass the bill to find out what's in it."

And kudos to him for suggesting a reason that hadn’t occurred to me: experiments on the down low by varying lot contents.
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I’ve actually wondered about that from the beginning, since they didn’t really do “dosing” in the trials. I have also wondered if some weren’t just saline-for the control group-only they would know which was which.

IIRC, the “dosing” was a problem in the animal trials. Too much was needed to get the effectiveness that was necessary. And I never read anything that told how they compensated for that.

And I think it was Moderna that had to have an extra high dose to get sufficient neutralizing antibodies. But my memory ain’t what it used to be.

IIRC, you are correct on all points. Kudos! 👏🏻

Where We Go 1, We Go All