Behind the Curtain

I don’t want to lose myself
It’s a whisper
It’s a funny thing
We fold like icicles on paper shelves
It’s a pity to appear this way

— Au Revoir Simone

From Jealousy and the Abyss by William Pennell Rock

Friday, Dec. 10, 2021 | Behind the Curtain | PLEASE SEE A COMMENT BELOW ABOUT A POSSIBLE ERROR IN PAARDEKOOPER’S INTERPRETATION OF THE VAERS DATA.

In tonight’s edition, I begin with the Venus-Pluto conjunction, and quickly to go Australia, where I play a recording by the elder Lurnpa (see new presentation here). In part 2 of the program, I discuss issues related to the VAERS database, as well as two matters connected to Pfizer. The source material for those stories is below (see video links below the player). Tantra Studio is part 2 of Yes and No. Tantra is also available on its own program page with recent past shows from 2021. Additional astrology on STARCAST.

Here are some additional program notes. | ZIP file

In Craig Paardekooper’s video released 11/26/21 and titled “Deployment of Toxic Vaccine Batches,” he uses VAERS data to plot toxicity with temporal deployment of vaccine batches. However, as he explains in a comment posted below a subsequent video posted on Bitchute entitled “How Bad is My Batch” (12/16/21), Pardekooper replies as follows to a reader’s comment about the stats:

[T]he deployment video was wrong. I took the data from excel in order of VAERS id – which IS in time sequence, but excel automatically reordered it (unknown to me) in alphanumeric sequence. Hence the graph shows patterns of alphanumeric clustering, not temporal clustering. It is unfortunate that the graph is still circulating. I took it down immediately on realising my error.

This means that his conclusion in the “Deployment” video – that the manufacturers were toying with the toxicity of vaccines through temporal release (that is, releasing toxic ones through a deliberate scheme over TIME) – is incorrect.

What his work does reveal is that toxicity of vaccine batches are clustered around specific batch codes. This is covered in his Bitchute video “Batch Codes and Toxicity” released 12/4/21. He follows up his analysis of correlating Pfizer’s toxic batches which cluster through specific mathematical sequences with a video on Moderna (“Death by Alphabet – Moderna Codes and Associated Deaths”) recorded on 12/7/21.

As Pardekooper says in the second part of his response concerning his initial video’s data errors:

However, from this mistake was born the realisation of alphanumeric clustering that broke the secret of the batch codes. It was from this that the alphabetic labelling of different levels of adverse events became apparent – the J, K, L, M, A, B, C, D, E, F, G series for Moderna, and the EN, ER, EW, EL, F series for Pfizer. Sometimes a big mistake leads to a big discovery.

Although more work needs to be performed using VAERS, Pardekooper’s analysis suggests intent on the part of the vaccine (sic) manufacturers’ to monitor and record effects on the public of the various batches’ toxicity levels. What is equally chilling is that there are batches linked to these high toxicities that are still being administered. In “How Bad is My Batch,” his video produced on 12/16/21, he recommends that doctors, nurses, and anyone receiving a vaccine needs to check the batch numbers before agreeing to the shot.

Deployment of Toxic Vaccine Batches by Craig Paardekooper

Jessica Rose analyzes VAERS data by age and type of event

Jealousy and the Abyss by William Pennell Rock

Additional graphics from Craig’s video

Jessica Rose analyzes VAERS data by age and type of event

One comment

  1. In responding to a comment to his “How Bad is My Batch” video (12/16/21), Pardekooper replies thusly,

    Craig-Paardekooper
    green_dog
    Hi Green Dog, the deployment video was wrong. I took the data from excel in order of VAERS id – which IS in time sequence, but excel automatically reordered it (unknown to me) in alphanumeric sequence. Hence the graph shows patterns of alphanumeric clustering, not temporal clustering. It is unfortunate that the graph is still circulating. I took it down immediately on realising my error.

    However, from this mistake was born the realisation of alphanumeric clustering that broke the secret of the batch codes. It was from this that the alphabetic labelling of different levels of adverse events became apparent – the J, K, L, M, A, B, C, D, E, F, G series for Moderna, and the EN, ER, EW, EL, F series for Pfizer. Sometimes a big mistake leads to a big discovery
    ​You should probably take this down, then, from last week’s PlanetWaves FM. Paardekooper is doing valuable work, as you know, but let’s not give anyone the chance to find actual errors.

    Gratefully,

    Tamara Sykes

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