Public hearing for data scientist disciplined for "posting information that went against the narrative the employer was promoting, which is that COVID-19 vaccines are safe and effective” is now set.
Mark your calendar and come to observe. The outcome of this hearing will signal what kind of Public Service—and what kind of Canada—we are moving toward. Lots of evidence is going public now.
NOTES:
THE HEARING OF MY GRIEVANCE IS SCHEDULED FOR 18-20 FEB 2026.
UP TO THIS DATE, THIS ARTICLE WILL BE REGULARLY UPDATED WITH DOCUMENTS AND OTHER EVIDENCE (YOUTUBE LINKS, QUOTES FROM COMMUNICATIONS ETC) RELATED TO THE HEARING
FULL INFORMATION ABOUT THE HEARING: ivim.ca/hearing
YOU CAN SUPPORT, BY ATTENDING IT: IN PERSON OR REMOTELY
Contents:
Employers documents:
Discipline letter
Investigation Report
Evidence used in the Investigation Report
Snapshot of www.ivim.ca (29 March 2021), showing:
i) Five observations,
ii) googlesheet that logs and removes bias from PHAC’s reported ‘cases following vaccination’ data,
iii) link to the latest seminar with data scientist from UKSnapshot of Twitter/X (? march 2021)
Grievor’s documents:
Grievor’s presentations at previous (internal) levels of hearing
Evidence related to data-science seminars and portal led / organized by Griever
Data Evidence:
Data Skewing (aka “algorithmic biases”) used PHAC in reporting Cases following vaccination
Poor evidence for vaccine efficiency, worse every week since October 2021
Other red flags from PHAC data (almost zero children dying with covid)
Increase of deaths among young canadians since vaccination (Fall - Winter 2021) from StatsCan
Other red flags from StatCan data (increase in cause of unknown)
Grievor’s presentations and evidence:
Open-Canada GitHub pages:
PHAC data:
Evidence used by Employer:
Snapshot of www.ivim.ca (2022-03-29)
Snapshot from Twitter:
White Paper (February):
Presentation at Data Science Lunch-and-Learn seminar (Slides)
Updates:
JAN 27: Instructions on how to attend remotely are posted in the portal (you’ll need to provide me your name and email, and I’ll pass it to FPSLREB director)
JAN 26: A page is created on IVIM.ca portal dedicated to My Hearing: IVIM.ca/hearing. This is where all details about the Hearing and all related evidence - including my analysis of PHAC and StatsCan data, and communications with my Employer and the Union - will be posted. You may wish to bookmark this page, as this hearing will decide the future of Public Service and Canada.
19 JAN: The dates for My Hearing are announced on both of my portals and substack.
Dear Friends,
As just posted on my official website: en.gorodnichy.ca/, the date for my hearing at the FPSLREB is now set — February 18–20, 2026.
Please mark your calendar and come to observe it - in person or via videoconference (link soon to be provided), to be a witness of this decisive moment in the Canadian Public Service history.
I’ve been waiting for this for hearing for more than three years…
In October 2022, my employer suspended me for five days without pay for discussing official data related to COVID-19 vaccines in Government of Canada data science forums (video) and elsewhere, in particular at the Freedom Convoy (video). I am accused that I “willingly posted information that is contrary to the message that the Government of Canada is promoting which is that COVID-19 vaccines were safe and effective”. I am saying that the data showed what it showed, I just made them easier to understand, using my professional data science skills, for the benefit of all public servants and all Canadians.
The outcome of this hearing will signal what kind of Public Service—and what kind of Canada—we are moving toward.
A dedicated page is created on my portal (www.ivim.ca/hearing) to provide more details about this case and all related evidence and background.
Below are the first two pieces of evidence - the video recordings of two incidents where I’m alleged of misconduct (presentation at the lunch-and-learn data science seminar at my work and my speech at Freedom Convoy on 4th February 2022), followed by another video recording (where I call Chief Science Officer to request addressing concerning post-marketing vaccine data), which I plan to use to ask if this was also misconduct
More is coming. Stay tuned. It is worth revisiting what was exactly happening back then - to mark the fourth year anniversary of one of the biggest peaceful demonstrations in the history of humankind.
2022-02-04: “One Year since Vaccination. What we have learnt - using Open Canada Data & Data Science” - Lunch-and-Learn Seminar, MS Teams (30 mins)
Slides (Source: https://open-canada.github.io/vitals/OneYearOfVaccineInCanada-deck-meetup-2022-02-04.pdf
2022-02-04: Senior Data Scientist addresses Freedom Convoy protesters in Ottawa (9 mins)
Background and Transcript:
2022-05-13: Follow up with Chief Science Advisor - Re: Report on COVID-19 Vaccine Efficacy & Safety (4 mins)
You can read my Open Letter to Chief Science Advisor of Canada from this article:








The lie of 'mRNA goes away in day or so' was specifically perpretated in two ways. Moderna made long living mRNA by one technique, and Pfizer used a different technique.
How many people were convinced with Science that had to do with Nature?
Unfortunately, Nature was not used in the mRNA vaccines. Just an inspiration.
--
>>>>please analyse the optimisation of the stop codon and its surrounding sequence in the main mrna covid vaccines
That's a fantastic and highly specific question! It hits right at the heart of the sophisticated bioengineering that makes these vaccines so effective. The optimization of the stop codon and its surrounding sequence is part of a larger, meticulous effort to maximize protein production and ensure the mRNA is stable.
Here is an analysis of the key optimization strategies concerning the stop codon and its downstream sequence in the main mRNA COVID-19 vaccines (like Pfizer-BioNTech's BNT162b2 and Moderna's mRNA-1273):
1. Stop Codon Optimization
The primary goal is to ensure efficient and accurate translation termination.
Choice of Stop Codon: The most common and often 'strongest' stop codon in mammalian cells is UAA. While all three stop codons (UAA, UAG, UGA) signal termination, UAA is frequently selected in optimized designs to ensure a clear and definitive stop signal for the ribosome. A weak stop codon could lead to readthrough, resulting in a longer, non-functional protein.
Preventing Readthrough: The choice is critical because the presence of the modified nucleotide N1-methylpseudouridine (Ψ) in the vaccine mRNA can slightly increase the chance of stop codon misreading by a near-cognate transfer RNA (tRNA). To counteract this potential readthrough, a highly efficient stop codon like UAA is crucial.
Slightly cheeky aside: No one wants a vaccine that produces a weird, overly long Spike protein. Accuracy is key!
2. The Surrounding Sequence: The 3' Untranslated Region (3' UTR)
The sequences immediately following the stop codon are the start of the 3' Untranslated Region (3' UTR), a non-coding area that is arguably just as important as the coding sequence itself. Its optimization centers on stability and translation efficiency.
Key Optimization Elements:
Regulatory Elements: The 3' UTR contains binding sites for RNA-binding proteins and microRNAs that heavily influence mRNA stability and half-life in the cell. The vaccine designs incorporate highly stable 3' UTR sequences derived from highly-expressed, long-lived human genes (e.g., β-globin or others).
RNA Secondary Structure: The sequence in the 3' UTR is designed to promote a specific RNA secondary structure (the way the RNA folds back on itself). More stable structures can protect the mRNA from degradation by nucleases, meaning the mRNA lasts longer and produces more Spike protein. Computational algorithms are used to find sequences that have both optimal codon usage and maximal structural stability.
3. The Grand Finale: The Poly(A) Tail
While technically not the sequence surrounding the stop codon, it is the most critical downstream component. It directly follows the 3' UTR.
Function: The Poly(A) tail (a long string of Adenine nucleotides) protects the 3' end of the mRNA from enzymatic degradation and is essential for translation initiation, as it cyclizes the mRNA via interaction with the 5' cap.
Optimization: The synthetic mRNA in the vaccines is engineered with a precisely optimized and often long Poly(A) tail (e.g., around 100-150 nucleotides). A longer poly(A) tail is generally associated with greater mRNA stability and a longer half-life, allowing the production of the antigen to continue for a beneficial period.
Extended Elements: The Moderna vaccine, for instance, includes a specific sequence (like ΨC$\Psi$AG, where Ψ is N1-methylpseudouridine) just before its Poly(A) tail. Recent research suggests this, or the tail itself, can induce a cellular enzyme to re-adenylate (lengthen) the tail inside the cell, further boosting the mRNA's lifespan and efficacy.
In short, the stop codon itself is chosen for termination strength (like UAA), and the downstream region (3' UTR and Poly(A) tail) is meticulously engineered for structural stability and enhanced lifespan to maximize the production of the immunogenic Spike protein. It’s a masterclass in molecular precision!
Would you like a deeper dive into how the codon optimization in the main coding sequence (before the stop codon) further contributes to this enhanced protein expression?
moderna's sequence just before the Poly(A) tail is interesting... tell me about that
That is the juicy detail we're looking for. The sequence right before the Poly(A) tail in the Moderna mRNA-1273 vaccine, often cited as a small, non-Adenosine sequence (specifically, a segment like m$\PsiCm\Psi$AG where Ψ is the modified uridine), is fascinating because of its unexpected, dynamic role in the cell.
Here is the breakdown of why this little linker sequence is so clever and effective:
1. It's a Remnant, and a Trigger
The sequence is essentially a vestige—a few non-adenosine nucleotides that are often a scar from the DNA template used in the manufacturing process (in vitro transcription). However, scientists have realized it has a profound biological function.
2. The Great Decoy and the TENT5A Twist
Recent research (using sophisticated techniques like nanopore sequencing) revealed a two-step process in the host cells:
Step 1: The Initial Attack (Decoy) When the mRNA is first translated, the cell's natural degradation machinery (specifically, the CCR4-NOT deadenylation complex) targets the 3' end. This degradation process often begins by rapidly removing that terminal m$\PsiCm\Psi$AG sequence. It's almost like a disposable cap.
Step 2: The Re-Adenylation Boost Once this short sequence is removed, something remarkable happens, particularly in key immune cells like macrophages: the vaccine mRNA induces the expression of a cytoplasmic enzyme called TENT5A poly(A) polymerase.
TENT5A recognizes the exposed end of the Poly(A) tail and starts re-extending it, sometimes boosting the length from ∼100 nucleotides up to ∼200 nucleotides. This process is called re-adenylation.
3. The Functional Outcome: Turbo-Charging Stability
Why does this matter?
Feature Impact on Vaccine Performance
Increased Stability A longer poly(A) tail means the mRNA molecule is significantly more stable and has a longer half-life inside the cell.
Enhanced Antigen Production Longer stability translates directly to a longer period of Spike protein production, leading to a much higher overall dose of antigen and, consequently, a stronger immune response (higher antibody production).
Cell-Specific Enhancement The TENT5A-mediated re-adenylation is observed most strongly in macrophages, which are critical antigen-presenting cells (APCs) at the injection site. This mechanism seems to be key to Moderna's high efficacy.
Essentially, the Moderna design includes a sequence that initiates degradation, but the resulting change tricks the cell into actively repairing and super-charging the mRNA molecule in the exact cells needed for robust immunity.
The Pfizer-BioNTech vaccine (BNT162b2) also has a composite Poly(A) tail but appears to rely less on this specific TENT5A re-adenylation mechanism, highlighting a fascinating difference in the "black belt" optimization strategies of the two platforms.
Would you be interested in an analysis of the specific N1-methylpseudouridine (Ψ) modification that is foundational to both the Moderna and Pfizer-BioNTech vaccines?
SARS-CoV-2 spike protein interactions with amyloidogenic proteins:
Potential clues to neurodegeneration
Danish Idrees, Vijay Kumar
Available online 24 March 2021
a b s t r a c t
The post-infection of COVID-19 includes a myriad of neurologic symptoms including neurodegeneration.
Protein aggregation in brain can be considered as one of the important reasons behind the neuro-degeneration. SARS-CoV-2 Spike S1 protein receptor binding domain (SARS-CoV-2 S1 RBD) binds toheparin and heparin binding proteins. Moreover, heparin binding accelerates the aggregation of thepathological amyloid proteins present in the brain. In this paper, we have shown that the SARS-CoV-2 S1RBD binds to a number of aggregation-prone, heparin binding proteins including Ab, a-synuclein, tau,prion, and TDP-43 RRM. These interactions suggests that the heparin-binding site on the S1 proteinmight assist the binding of amyloid proteins to the viral surface and thus could initiate aggregation of these proteins and finally leads to neurodegeneration in brain. The results will help us to prevent future outcomes of neurodegeneration by targeting this binding and aggregation process.
1. Introduction
The long-term post-infection complications of COVID-19 can be
associated with neurological symptoms of neurodegenerative dis-
eases. The major risk factors for the COVID-19 includes age, heart
disease, diabetes and hypertension [1]. Several studies suggested
that SARS-CoV-2 infection increases the risk for neurodegenerative
diseases [2e5]. SARS-CoV-2 invasion to the CNS and the noticeable
cytokine storm, metabolic changes, gut microbiome changes,
neuroendocrine axis, and hypoperfusion during COVID-19 infection
could be attributed to the different neurological distresses
observed in the nervous system [5e7]. It has been shown that
infection from human immunodeficiency virus (HIV), West Nile
virus, herpes simplex virus type 1 (HSV-1), H1N1 influenza A virus,
and respiratory syncytial virus causes several neurological mani-
festations, including encephalitis, protein aggregation, neuro-
degeneration, and Parkinson’s disease- or Alzheimer’s like
symptoms [8]. H1N1 infection to dopaminergic neurons expressing
a-synuclein resulted in aggregation of a-synuclein and inhibition of
autophagy, and thus increased the susceptibility of neuro-
degeneration [9].
Very recently, Tavassoly et al. proposed a view that seeded
protein aggregation by SARS-CoV-2 could be attributed to long-
term post-infection complications including neurodegeneration
[4]. They suggested that SARS-CoV-2 spike protein S1 region binds
to heparin and heparin binding proteins (HBPs) present in brain
which are prone to self-assembly, aggregation, and fibrillation
processes. They also showed that the peptide from S protein
(SeCoV-peptide; ~150 aa) has more aggregation formation pro-
pensity than the known aggregation-prone proteins, suggesting
that this peptide is prone to act as functional amyloid and form
toxic aggregates. Thus, the heparin binding and aggregation pro-
pensity of S1 protein has been suggested the ability of S1 to form
amyloid and toxic aggregates that can act as seeds to aggregate
many of the misfolded brain proteins and can ultimately leads to
neurodegeneration. It has been suggested that SARS-CoV-2 infec-
tion invades the CNS by controlling protein synthesis machinery,
disturbs endoplasmic reticulum and mitochondrial function and
increases the accumulation of misfolded proteins, thereby activates
protein aggregation, mitochondrial oxidative stress, apoptosis and
neurodegeneration [3,5,10].
Interestingly, it has been shown that HSV-1 spike protein binds
to heparin and increases the aggregation of amyloid b (Ab42)
peptides on its surface spikes [11].
This study suggests that the heparin-binding site of the spike protein might act as a binding site
for Ab42 peptides and thus could dock to the viral surface and
catalyze aggregation of Ab42. As the receptor binding domain
(RBD) of SARS-CoV-2, which is located within the S1 subunit of
spike glycoprotein has several heparin binding sites [12e14], the
same mechanism of aggregation of neurodegeneration causing
proteins such as Ab, a-synuclein, tau, prions, and TDP-43 can be
observed in COVID-19 infection in the brain.
In this study, we have investigated the interactions of SARS-
CoV-2 S1 RBD to different amyloid forming proteins including Ab,
a-synuclein, tau, prions, and TAR DNA binding protein-43 (TDP-43).
We also examine the binding of S1 RBD to heparin and their
complex to the different amyloidogenic proteins present in the
brain. The insights will help us in understanding the heparin
binding induced increase in association of HBPs observed in neu-
rodegeneration and also to prevent future outcomes of neuro-
degeneration by targeting this association process.
In summary, the findings reported here support the hypothesis
that the SARS-CoV-2 spike protein can interact with heparin
binding amyloid forming proteins. Our results indicate stable
binding of the S1 protein to these aggregation-prone proteins
which might initiates aggregation of brain protein and accelerate
neurodegeneration. These findings might explain the possible
neurological distresses associated with COVID-19. Therefore, tar-
geting the interaction of SARS-CoV-2 spike protein with the brain
proteins might be a suitable way to reduce the aggregation process
and thus neurodegeneration in COVID-19 patients.