Posted on 11/02/2021 8:51:05 PM PDT by ransomnote
Clearly I’m way way smarter than Karl Denninger because I had the brains to ask the “What’s the size of each of the batches?” Without knowing this all of Mr. Denninger’s graphs and statistics are meaningless.
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Nope. I can’t wait for you to explain to Denninger your ‘brilliant’ deduction.
Separate companies, J&J unrelated technology - all have the same ‘quality control’ profile (i.e., death) - yeah that should make for an interesting discussion.
A lot number can have millions of doses in it. But by burying toxic lots in a haystack of lot numbers those killing us hide from exposure. Someone hunting harm has to go through testing mountains of lots to find a bad one. Meanwhile the black hats know which lots are toxic and are using those specific lots to kill and maim Americans - this is war. They are using decoys.
Thanks for the ping
As a guy who likes math and computers, and has made a pretty good living from both, this is very interesting. I’m going to pull down the VAERS data and start writing some programs to analyze it. There is something not right, not right at all here.
| semimojo wrote: |
| 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; Absolutely brain dead. He's ignoring the most obvious fact - the lots aren't the same size. Pfizer said their lots vary from 1 to 3 million doses. His analysis only has meaning if all lots are the same size. This isn't tricky, it's elementary math. |
Absolutely brain dead.
Yes, you seem like you are, but let me point out I think you're faking.
There it is, the troll's 'meaningless' comment embedded in your post.
The rest of us understand Karl's analysis is not meaningless. While it has limitations, there simply is no excusing the consistent pattern of death over 3 different manufacturers, using two different technologies.
They are using mountains of decoy lots to escape detection, and deploying weaponized lots in a distributed manner to avoid 'too much death' in too short a radius too soon after injection.
J&J’s vax division used to be Bioport, the same manufacturer that made the anthrax vaccine.
They have been cited in the past (anthrax vax) for unsafe practices galore, such as storing batches at high temperatures, or having overhead pipes dripping water into vax batches, and having lots that were 100 times stronger than other lots, among other health and sanitary practice violations.
It has been my view all along that the cv19vx batches contained a high % of placebo, different mrna concentrations etc. We’re in an ongoing clinical triat
It. not at all relevant to whether one should take the vaxx or not. I'm pointing out the math in the article is completely meaningless on that point. It doesn't take a genius to point this out, although quite a few Freepers are apparently susceptible to the sort of bull$$$$ put out by grifter sites like the one referenced.... especially our sad Qtard population.
| ThunderSleeps wrote: |
As a guy who likes math and computers, and has made a pretty good living from both, this is very interesting. I’m going to pull down the VAERS data and start writing some programs to analyze it. There is something not right, not right at all here. |
Yes. I'm interested to see what you find. I'm pondering how deaths are distributed normally over time but not lot numbers. Something on the endge of my intincts. I know lots can be huge, but even lot size disparity versus lethality is its own question.
The problem with your point is that a deviation between 1 and 3 million in the lot sizes does not even come close to explaining the variations which Denninger has identified in the fatality rates between the various lots, which is several orders of magnitude higher than a 3 to 1 ratio. So to dismiss his analysis on this basis appears to be either obviously bad thinking on your part or bad faith.
| Rightwing Conspiratr1 wrote: |
| Then you take your chances but leave others out of it and free to make their own choice. It. not at all relevant to whether one should take the vaxx or not. I'm pointing out the math in the article is completely meaningless on that point. It doesn't take a genius to point this out, although quite a few Freepers are apparently susceptible to the sort of bull$$$$ put out by grifter sites like the one referenced.... especially our sad Qtard population. |
"grifter"? You're working your way through your sorry inventory aren't you? You can't refute the expert, denounce as 'meaningless' and 'grifter'. Are you sure you're not a bot?
May not be a bot but I’m sure he is a pissant.
I didn’t bother to point out that if the offensive lots are the largest and the “good” ones are the largest the anomaly is still there.
I’m ready for the divorce, with prejudice.
thanks ‘note.
He said the events should be normally distributed between lots yet the lots aren't the same size.
That's brain dead yet you choose to accept his analysis.
Not only accept it, use it to concoct some off-the-rails conspiracy, involving thousands, to kill us.
You're obviously free to peddle any kind of crazy you want but when you do it with such obviously flawed material don't be surprised when someone points that out.
Which states got the magic formula?
As of 1-2 years ago, TX doctors didn’t have to report adult deaths of the old regular flu though they were supposed to report children’s deaths to the Dept. of Health. Jabbed or not, doesn’t matter. As for the Covid-19 flu deaths, one would “assume” the same regulations apply.
As was expected, we’re hearing every couple of days of another child being accidently given the Covid-19 vax instead of the regular flu shot or given the adult dosage.
I am interested also.
You may be able to infer the lot size.
If VAERS has a serial number associated with the shot that is sequential, it is straightforward. For example, if there are 1000 reports that are all numbered between 2 million and 3 million, then the lot size is at least 1 million, and almost certainly not much bigger.
The serial numbers should be uniformly distributed. If they are clumped in certain ranges, then something is going on. One innocent explanation is that part of the lot was used - nursing homes, and part was not - firefighters. I’m assuming the serial numbers are assigned when the lot is produced, rather than when the dose is administered. The timing of the reports may provide additional info.
The inferred lot sizes should be somewhat consistent whether one uses all adverse events, deaths or other adverse events.
Denninger refers to normal distributions. I don’t know if he means usual or the formal probability distribution. It looks to me like a binomial distribution where the probability of an adverse event is itself a random variable.
Posted on 11/3/2021, 12:21:18 PM by ransomnote
Pfizer said their lots vary from 1 to 3 million doses.
A dozen or so lots are associated with around four or five deaths and others are associated with none.
Pfizer’s lot “EN6201” is associated with 117 deaths.
The difference between “most deadly” and “least deadly” is a factor of 25, while the lot sizes vary by only a factor of three.
Where’s the elementary math that explains that?
Not so. I said I found a statement that that was Pfizer's current variation in batch size.
That was as of February so I imagine that's changed over time as they've brought on production capacity, etc.
But that's missing the point. What's important is the people making the wild claims about the lots admittedly don't know, and so their analysis is meaningless.
From the original Expose piece:
Anyone trying to do this analysis without knowing the lot sizes, or how the lots are created and distributed, is a hack.
I downloaded the current 2021 data today. I’m planning on starting coding on my extraction program tonight. Going to write some python to grovel through the data, then output files I can graph with gnuplot. Yes, computer geek with a thing for Linux. :-)
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