Cathabel

Over his head is shriekinga lean hag, quickly hopping Over the points of weapons and shields. She is the gray haired Morrigu -Annals of Leinster. Bright light.

[Destiny Rezendes @dezzie_rezzie]

🔍🦠 One of the biggest revelations from the recent ODNI Covid File drop!
👇👇👇👇
Why EcoHealth & Ralph Baric should be banned FOR LIFE from receiving ANY federal funds EVER again! 💥

[Cathabel @CathabelR]

@HouseLyndseyRN Radiant lady! 💕🙏🙏🙏

[Jessica Rose 🤙 @JesslovesMJK]

Repost this far and wide if you like me being around.(insert collar grab)
"I am going to show you in sordid detail EXACTLY what was required (in Neil Miller’s case) for an Editor-in-Chief of a serious and respected journal like Toxicology Reports (H-index of 72) to remove a paper from publication 5 years after the fact."
@SenRonJohnson @SecKennedy @brownstoneinst @Honest_Medicine @RWMaloneMD @MidwesternDoc @VigilantFox @thevivafrei @AaronSiriSG @elonmusk @SciGuardians @Kevin_McKernan @weldeiry @jikkyleaks @MaryBowdenMD @MaryanneDemasi @maryhollandnyc @ChildrensHD @MarioNawfal
https://t.co/wDd6jyuwzL

[Lozzy B 🇦🇺𝕏 @TruthFairy131]

The Australian Government has chosen to continue to poison Aussies.

Dangerous Toxic Weed Killer Paraquat that is used in the farming industry will not be banned in Australia.

Paraquat is banned in 70 countries, including the United Kingdom, the European Union & China, due to its toxicity.

For years, Parkinson's Australia has been campaigning for the pesticide to be banned due to its suspected links to the illness & other illnesses & diseases.

Australia has one of the highest cancer rates in the entire world because many toxins, chemicals & poisons banned in other countries, our Government is happy to feed to & expose Australians to.

[Kat A 🌸 @SaiKate108]

Senator Alex Antic was
on fire today 🔥🔥

Both hilarious when it was deserved and dead serious when needed.

He tore into Big Pharma. Mocking their ridiculous bird flu campaign - praising their innovative marketing strategies to push vaccines lol

But also raised Tulsi Gabbard’s explosive claims about Fauci.

Demanding answers for Australian involvement.

None of which will be shown on MSM of course.

[Kenny Carmody @KennyCarmody]

Almost Five years ago I was a healthy, very active man in the prime of my life.

An artist by heart and soul who had traveled to over 100 countries, maintained peak health and fitness, and ran or hiked miles in nature almost every day. Simple, full, and free.

Then on July 21, 2021, I received the Moderna COVID vaccine.

I felt it the moment it entered my body.

Within days a cytokine storm triggered a rare neuromuscular disease and multi-system damage. I went from the ICU to six brutal weeks in hospital, and nothing has been the same since.

Today I am mostly bedridden, confined to my bedroom. I cannot work. I cannot drive. I cannot grocery shop. I can barely walk more than short distances on my best days. I have not left my house further than a quarter mile in years.

Every single day I endure ischemic stroke-like episodes, a partially paralyzed diaphragm that makes breathing a struggle, severe neuropathic pain, esophagus and larynx spasms, severe swallowing issues that make eating difficult, severe trigeminal and occipital neuralgia, crushing fatigue, dysphagia that turns eating into an hour-long ordeal, neuro degeneration and neuromuscular disease diagnosed as ALS unspecified, and waves of symptoms that force me to be bedridden.

Doctors mostly dismissed me as psychosomatic, anxious, or worse. One diagnosis I had to sue to have removed from my record. I spent over $60,000 chasing every treatment the injured community has tried. Nothing gave lasting relief. I became my own doctor , turning to sunlight, grounding, circadian alignment, nature, and my faith in God, which is what carries me when the body wants to quit.

For three years I have spoken out , documenting my journey, writing on X and Substack, calling for acknowledgment, proper diagnostic codes, real care, and accountability for what was done to us. I stand with every vaccine-injured person who has been denied, dismissed, and abandoned.

Yet suddenly the story has gone silent.

People are no longer talking about the people who became severely disabled after one shot. Support has dwindled. The institutions that told us it was safe have offered no honest accounting. No real acknowledgment. No justice.

The reality is that we did not recover when the headlines ended.

We are still here. I am still here.

Still mostly bedridden.

2026 has been brutal.

Still fighting every single day.

Still waiting for the truth to be told.

Please share this. Not for sympathy, but because thousands of vaccine-injured people deserve to know they have not been forgotten.

My time here in X soon comes to an end and halt, yet I am grateful to have met such wonderful people and the support I have received . I know there is not much you can do for us, but I am very grateful for all the absolutely amazing and wonderful prayers and words I have received. Thank you from my heart.
Prayers is what this worlds needs more than ever.

Please don’t stop believing and dreaming of a better world.

God is not finished with us yet.

May God Bless you and peace be with you.

[Cathabel @CathabelR]

@michellespj @CoyoteSanctuary Healing love across the aether.
Hang in there.
Bless you for being brave and speaking out. 🙏🙏🙏

[GP @Graham_dePenros]

The New Providence: Theological Fatalism Meets Algorithmic Fatalism in a Deterministic Future

When AI systems begin predicting who will default, offend, fail, leave, recover, qualify, comply, or deserve opportunity, they do more than analyse human behaviour. They begin to create a new secular doctrine of Destiny.

Theological fatalism asks an old and uncomfortable question.

If an all-knowing God already knows every choice you will make, were you ever free to make a different one?

AI brings that question back, stripped of divinity and rebuilt as infrastructure.

Not through omniscience. AI is not omniscient, intelligent in the human sense, or capable of understanding the people it profiles. It calculates patterns from data. But when those calculations are placed inside hiring systems, policing, insurance, credit, healthcare, education, border control, welfare, fraud detection, and behavioural targeting, a prediction can begin to function like a verdict.

• You will default.
• You are likely to offend.
• You are not worth lending to.
• You are a poor fit.
• You will not recover.
• You are likely to leave.
• You are not the kind of person we promote.

The danger is not simply error, although error is widespread and often invisible. The deeper danger is that prediction creates a new deterministic language for institutions that already prefer certainty over judgement.

Once a system assigns a probability to a person, the organisation using it may begin to treat probability as destiny.

That is algorithmic fatalism.

The old theological problem was whether divine foreknowledge made the future unavoidable. The modern problem is whether commercial and state systems will use imperfect statistical forecasts to narrow a person’s future until the forecast becomes self-fulfilling.

A person denied credit because an AI model predicts financial risk may become financially unstable. A person rejected from employment because a model predicts poor retention may lose precisely the stability that would have disproved the prediction. A child classified early as low potential may receive fewer opportunities and later be cited as evidence that the system was correct.

The prediction does not merely observe the future.

It helps manufacture it.

This is why the language around “AI decision-making” is dangerously casual. Decisions are not neutral because they are automated. A model may be statistically sophisticated and still operate as a machine for converting historical inequality, institutional bias, commercial incentives, and incomplete data into an apparently objective future.

The question is not whether AI can predict behaviour.

The question is whether we will allow prediction to become permission to govern people as though they have already become the worst thing a model expects of them.

Human agency is not a sentimental exception to optimisation.

It is the condition that makes accountability, justice, rehabilitation, dignity, and democracy possible at all.

What the image tries to show is a future date grand civic hall blending a Renaissance chapel with an AI decision centre. A stone hand and luminous data hand reach across the ceiling while people face credit, hiring, health and border checkpoints. Transparent scores and red denials turn probability into destiny every day.

[Cathabel @CathabelR]

@missyTHX1138 Thanks so much. Sorry I missed this earlier. 💕🙏🙏🙏

[GP @Graham_dePenros]

Torture the Data Long Enough and it will Confess to Anything

The replication crisis has entered its industrial phase.

One of the most troubling features of modern research is the volume of published work that performs little better than chance, yet survives because the underlying data, modelling assumptions, code, prompts, algorithmic architecture, parameter choices, and failed runs are not made available for scrutiny.

In too many cases, the problem is not merely error. It is methodology designed to find a publishable result.

Run enough scenarios and something will appear significant. Adjust the data often enough and the thesis starts to fit. Refuse access to the dataset and critics are left challenging shadows. Add a circle of high-profile academics citing one another, and weak work can become highly cited work. Once that happens, it becomes a foundation layer for further research, funding, policy, product development, and institutional belief.

This is especially dangerous in AI-enabled drug discovery, healthcare, biology, emergency medicine, disease modelling, and vaccine research. In these fields, bad science does not simply waste time. It can distort clinical priorities, misdirect capital, pollute model training data, and influence decisions where human lives are downstream.

The uncomfortable truth is that citation count is not the same as validity. Publication is not verification. Peer review is not forensic audit. A model output is not a discovery unless the pathway to that output can be inspected, reproduced, challenged, and stress-tested.

Every paper in AI and biology now needs to be read with disciplined scepticism.

Where are the data?
Where is the code?
How many model runs failed?
How were the parameters selected?
What was excluded?
Who tried to reproduce it?
Were negative results reported?
Are the citations independent, or are we looking at a closed academic loop?

The expansion of repositories, preprint servers, indexing platforms, and AI-assisted paper generation has created a flood of claims that often move faster than validation. Some of that work is valuable. Much of it is provisional. Some of it is noise. Some of it is worse than noise because it looks authoritative.

The problem is not that we lack research.

The problem is that we increasingly lack reliable mechanisms for distinguishing discovery from statistical theatre, citation laundering, and model-assisted speculation dressed as science.

Until full data transparency, reproducibility, code disclosure, audit trails, failed-run reporting, and independent replication become the norm, every highly cited but opaque paper should be treated not as settled knowledge, but as an unverified claim with institutional momentum behind it.

That is the mess we are in.

[Cathabel @CathabelR]

@MartinFeathers2 @nascentjude 😂😂😂

[Wafik S. El-Deiry, MD, PhD, FACP @weldeiry]

Honored to receive the International Society of Oncology Prevention and Treatments (ISOPT) Precision Oncology Research Award in Hong Kong this evening. @BrownUniversity #LegorretaCancerCenter @WIN_Consortium

[Wafik S. El-Deiry, MD, PhD, FACP @weldeiry]

It was an honor Senator Ron Johnson @SenRonJohnson to testify in the US Senate Permanent Subcommittee on Investigations under you chairmanship with colleagues on both sides of the aisle a week ago.

Truth matters as does public trust and there’s much at stake.

Scientists in the US should be valued, respected, supported, allowed to think creatively, ask questions, discuss ideas, do research and publish findings.

It’s no longer science when censorship, reputational smearing or career destruction occur for pursuing scientific truth.

Thank you Senator Johnson for your tireless efforts.

[Jikkyleaks 🐭 @Jikkyleaks]

Thank you @open_vaet for doing justice to the memory of @StatChrisCotton

This will take you ten minutes to read and you will gain something priceless in return.

RIP dear Christine.

[Mary Talley Bowden MD @MaryBowdenMD]

Update from Japan with Dr. Kevin McCairn and Patient Ken Evans https://t.co/Ls5fs2mmCe

[Cathabel @CathabelR]

@missyTHX1138 What antibody blood test do you recommend?

[Cathabel @CathabelR]

@NathanielSami @MooYar345

[Cathabel @CathabelR]

@ConlustroR Love and light for all your clan during these mighty sad times. 💕🙏🙏🙏