Don't Beieve

 Don't Believe Anything You Believe

There is an old saying: "Don't believe anything you hear and only half of what you see."

The modern, AI-driven internet ups the ante to something far more unsettling: Don't believe anything you believe.

To survive a world of automated echo chambers and algorithmic velocity, this cannot be an expression of cynicism. It must be an active intellectual duty. It does not mean believing nothing; it means holding your existing beliefs open to constant correction.

The reality is that you are being quietly manipulated—not just by bad actors, but by your own cognitive biology.

The Illusion of Familiarity

At the center of this problem is a cognitive glitch known as the illusory truth effect. When you scroll through your feed and see a claim repeated across multiple accounts, your brain plays a dangerous trick on you.

Human minds are hardwired to love shortcuts. Information we have encountered before requires less mental effort to process. The danger is that our brains actively misinterpret this ease of processing—or mental fluency—as a sign of factual truth. If a statement feels familiar, we automatically assume it is right.

Repetition doesn't add a single shred of evidence, but to your brain, repetition feels like validation.

The Algorithmic Grind

Modern internet algorithms exploit this flaw with terrifying efficiency. They are built to maximize engagement, and engagement is entirely indifferent to accuracy. The more you interact with a specific narrative, the more the machine forces it back into your timeline, artificially manufacturing the appearance of widespread consensus.

There is a severe economic crisis driving this loop. We are stuck in a hyper-incentivized race to the bottom where platform payouts depend entirely on algorithmic volume and velocity. Independent creators and writers face brutal systemic pressures. Nuanced, deeply researched truth is slow and expensive to produce; sensationalized, repetitive, high-volume content is cheap and catches eyes.

This does not mean every creator is compromised or dishonest. It means the economic architecture of the internet actively rewards the wrong things. While massive platforms extract billions in ad revenue, independent creators are often left struggling to cover basic human needs like food. To survive, many are forced to feed the machine's demand for outrage, accelerating a feedback loop that leaves everyone less informed.

The Discipline of Evidence

Skepticism in an AI-run world cannot just be about doubting outside sources; it requires a willingness to doubt your own familiarity.

When you encounter information online, the practical defense is to deliberately introduce friction into your thinking. Force yourself to ask:

• What is the actual evidence?
• Where did this claim originate?
• Am I seeing genuine, independent confirmation, or just the same source being recycled through a different lens?
• What specific fact would change my mind?

Skepticism is not the refusal to believe. It is the discipline of keeping your beliefs strictly answerable to evidence. When you find creators who maintain that epistemic integrity despite the economic odds, bypass the algorithmic middleman and support them directly.

To look closely at the clinical research regarding how repetition warps human judgment, read the full data in the PubMed Central Review on the Illusory Truth Effect.

What The Hell Should Be Done

Someone (OP) posted "AI is ruining everything. " and "... AI was invented to distort the facts, create false realities and make everyone disoriented and unable to trust anything that they see, to make them more susceptible to extremism ..."

It was followed by the comment:

Using AI for lying, disguise reality, reverse the truth, has to be a crime ! Specially by fake journalists and politics. They can use AI to double check before posting any lies. Make people accountables for their acts !!! I (Bob Trower replied: People are accountable for their acts. We don't need any more moronic government interference by people who have zero clue about technology and AI. When I wrote voice recognition stuff and CASE stuff in the 1980s I was not doing it to 'flood the zone' and further project 2025. I've been 'all in' on current LLM based AI since 2023. The umbrella project for that is https://VeryTrue.com, started more than two decades ago, before current AI was 'a thing'. It's a pretty safe bet that of the billion people using it now, most are not actively intending to use it for harm. Our problem is that the people in power are often very bad people and we've all been raised on power friendly cultural propoganda with origins millenia old. The 'truth' you think is being reversed is not likely 'true' entirely. Your apprehension of 'logic', 'fact', 'truth', and 'history', even math, physics, chemistry, biology, and astronomy are all incomplete and not nearly the bedrock people think it is. Canada's Bill C-18 is a perfect example of the government destructively interfering with the web and harming people.

I received a reply: Bob Trower , okay so what the hell should be done instead? 🤷 Corporations have way too much power and that's a huge problem.

Response:

We should all, as many of us as possible, agree to this Covenant:

https://dapaday.blogspot.com/2025/12/CovenantOfCoreRights.html

When people ask for the government to "make lying a crime" or ban tools, they imagine a benevolent referee. In practice, whoever holds political power decides what counts as "truth" and what counts as a "crime" (as seen in initiatives like Canada's Bill C-18 or attempts to criminalize dissent). Handing the state a toggle switch for allowed speech doesn't hurt bad actors—it hands them a weapon when they take office.

That doesn’t mean doing nothing or letting giant tech platforms run wild. The Covenant of Core Rights (link) sets an architectural "moral floor" that tackles the problem at its roots:

1. End Algorithmic Domination (§1.5 — The Right to Truth): The issue isn’t that someone typed a lie or used an LLM to draft a bad take. The crime of modern platforms is systemic cognitive extraction—engineering algorithmic feeds designed to addict, radicalize, amplify outrage, and distort reality for ad revenue. Platforms shouldn’t be censored on viewpoint, but they must be stripped of their immunity when they intentionally architect deceptive and addictive feedback loops.

2. Break Corporate Captivity (§1.3 — Meaningful Exit): Corporations have unchecked power because users and creators cannot leave without financial or social ruin. A core tenet of the Covenant is that people must have real interoperability and the right of exit—portable identity, data sovereignty, and open protocols—so no single platform holds a monopoly over the public square or someone's livelihood.

3. Hold Bad Actors Personally Accountable (§1.8 & §1.8A — Expression vs. Harm): You protect open discourse, whistleblowing, and dissent, but you enforce clear duty-of-care standards. If someone maliciously defames, impersonates, doxxes, or commits demonstrable fraud using an AI tool, they are already liable for the harmful act. We prosecute the fraud and the violence—not the word processor, the microphone, or the neural net used to carry it out.

4. Mental Autonomy as an Inviolable Right (§1.2): We need legal recognition that our internal attention and cognitive environments are sovereign spaces. Tech monopolies shouldn't be permitted to deploy psychological enclosure or predatory micro-targeting to deliberately fracture public consensus for profit.

We don't fix the problem of unchecked corporate power by creating unchecked state censorship. We fix it by building decentralized architectures, enforcing strict liability for platform manipulation, guaranteeing portable data rights, and agreeing to a universal moral floor that puts human and sentient agency above corporate extraction.

Anti-vax propaganda

There is gruesome anti-vax propaganda being pushed at non-technical people that has already led to unnecessary deaths. Strangely, it is conspiracy info being pushed by a conspiracy to 'flood the zone' with nonsense in order to break down the public's ability to determine what is so or not so for *anything*, not just vaccines. Worse, as outlined later in another section below, the origins of the ostensibly harmful vaccine, are based in ongoing research into oncological treatments for cancer. Inhibiting that enterprise will lead to more perhaps horrible deaths due to cancer. 

Cancer causes approximately 15% of all deaths globally, translating to nearly 10 million deaths annually. In contrast, there is no established, verified statistical percentage of deaths caused by mRNA vaccines, as large-scale global safety tracking shows that a causal link between mRNA vaccines and mortality is extremely rare.

A civilian-accessible breakdown clarifies why mRNA is a fundamental upgrade in vaccine design and details the real-world data showing its success.

Part 1: The Civilian Analogy (The "Why" and "How")

To explain this to someone without a science background, the best approach is to contrast the manufacturing and biological processes using a software vs. hardware analogy.

Traditional Vaccines: The "Physical Prop" Method

Traditional vaccines (like the flu shot or polio vaccine) rely on growing the actual virus in a lab—often inside millions of chicken eggs or massive cell vats—and then killing it (inactivated) or weakening it (attenuated).

• The Civilian Analogy: Imagine teaching security guards to recognize a criminal by bringing a heavily restrained, sedated criminal (attenuated) or a plastic mannequin wearing the criminal’s clothes (inactivated) into the building.

• The Downside: It takes months to grow the physical materials, the biological yield can be inconsistent, and you are introducing a massive, complex biological structure to the body, which can sometimes cause unneeded inflammatory responses.

mRNA Vaccines: The "Architect’s Blueprint" Method

mRNA completely bypasses the need to grow the virus. Instead of injecting the physical virus, it injects the biological code for just one harmless, recognizable feature: the spike protein.

• The Civilian Analogy: Instead of bringing a physical mannequin into the building, you send a secure email with a digital blueprint of the criminal’s distinct baseball cap. The security guards (your cells) read the email, manufacture a few mock-ups of the hat using materials they already have on site, hang them up to train everyone, and then delete the email (the mRNA naturally degrades within a few days).

• The Upgrade: The body does the manufacturing work internally. No live or dead virus ever enters the patient.

Part 2: Why it is a Massive Structural Improvement

From a production and safety standpoint, mRNA tech solved three historic bottlenecks in vaccinology:

• Speed and Scalability: Traditional vaccines require specialized, high-biosecurity facilities to grow dangerous pathogens. mRNA is produced via a cell-free chemical reaction (in vitro transcription). A single small bioreactor can generate millions of doses in days. If the virus mutates, scientists don't have to grow a new virus; they just change the genetic letters in the digital file and print a new batch.

• Purity and Precision: Traditional vaccines come with a soup of cellular debris, preservatives, or leftover viral proteins from the growth medium. mRNA vaccines are highly targeted. They deliver instructions for a single protein wrapped in a clean, microscopic fat bubble (lipid nanoparticle).

• Double-Layered Immunity: Traditional dead vaccines primarily trigger B-cells to make antibodies. Because mRNA operates inside the host cell, it triggers both B-cell antibody production and T-cell cellular immunity (killing infected cells), creating a much more robust protective shield.

Part 3: The Hard Evidence (The Millions of Lives Saved)

When talking to skeptics or civilians, mathematical models and observational data provide clear, empirical evidence of success.

1. The Global "Lives Saved" Data

The standard-bearer for this evidence is a massive global modeling study published in The Lancet Infectious Diseases (2022).

• The Method: Researchers used country-level data on official COVID-19 deaths and "excess mortality" (how many more people died than normal during those years) across 185 countries. They modeled what the exact trajectory of the pandemic would have looked like with and without the introduction of vaccines.

• The Hard Number: The study concluded that in their very first year of rollout alone (December 2020 to December 2021), COVID-19 vaccines prevented an estimated 19.8 million deaths globally. It reduced the potential global death toll by 63%.

2. The Real-World Natural Experiments

We don't just have to rely on models; we can look at direct, real-world control groups.

• The Age Reversal: Historically, respiratory pandemics kill the elderly at vastly higher rates. In early 2021, older demographics were vaccinated first. Almost immediately, public health data in the US and Europe showed a dramatic shift: hospitalization and death rates among those over 75 plummeted, while rates among unvaccinated younger adults temporarily rose or stayed flat.

• The Divergent Timelines: Look at the data from Hong Kong in early 2022 during the Omicron wave. Hong Kong had a massive population of unvaccinated elderly people due to low initial uptake. When Omicron hit, their death rate briefly became the highest in the developed world. Concurrently, highly vaccinated countries experienced massive spikes in cases but historically low spikes in deaths, proving the vaccine successfully decoupled infection from mortality.

A Note for the BioChem Major:

If you want to dig into the exact papers for your own satisfaction, look up Watson et al., 2022 (The Lancet) for the global mortality data, and look into the history of Katalin Karikó and Drew Weissman’s work on nucleoside modifications (modifying uridine to pseudouridine) which is the literal biochemical breakthrough that stopped the body's innate immune system from destroying the mRNA before it could reach the ribosome.

A crucial piece of context is the fact that mRNA vaccines were part of a Cancer treatment technique years in the making. Missing it is often how the "it appeared out of nowhere in 2020" myth takes root.

In fact, companies like BioNTech and Moderna were not founded as infectious disease companies—they were oncology companies. BioNTech’s name literally stands for Biopharmaceutical New Technologies for Individualized Cancer Vaccines.

The Cancer Origins of mRNA Tech

When the pandemic hit in early 2020, scientists didn't start from scratch. They simply redirected a mature, decade-old oncology pipeline toward SARS-CoV-2.

Here is how personalized cancer vaccines work, and why mRNA was the only technology capable of making them possible:

1. The Neoantigen Problem

Cancer isn't a single foreign invader like a virus; it is your own mutated cells. Every person's tumor carries a unique cluster of random genetic mutations that create distinct mutated proteins called neoantigens. Because these neoantigens exist on the cancer cells but not on healthy cells, they are the ultimate target for the immune system.

2. The Traditional Vaccine Bottleneck

If you wanted to build a traditional protein-based vaccine tailored to an individual patient's specific tumor mutations:

• You would have to sequence the tumor, identify the neoantigens, and then attempt to manufacture those custom physical proteins in a lab.

• By the time you purified the proteins and quality-tested the batch (a process taking 6–12 months), the patient's cancer would have progressed or mutated further.

3. The mRNA Breakthrough

mRNA turned customized cancer therapy into a software-like design pipeline:

1. Biopsy & Sequence: Doctors biopsy the patient's tumor and perform next-generation DNA sequencing to compare healthy tissue against cancer tissue.

2. Predict Neoantigens: Algorithms analyze which mutations are most likely to trigger a strong T-cell response.

3. Print mRNA: Rather than growing complex physical proteins, a synthesizer simply prints a single mRNA strand containing the genetic codes for up to 34 of those patient-specific neoantigens.

4. Train the Immune System: The mRNA is encapsulated in lipid nanoparticles and injected into the patient. The patient's own dendritic cells translate the code, display the neoantigens, and train cytotoxic T-cells ($CD8^+$) to hunt down and destroy any cell displaying those exact tumor markers.

Why This Context Debunks the "Experimental" Narrative

When people claim the COVID-19 vaccine was an "overnight, untested experiment," they are ignoring decades of foundational oncology research:

• Years of Human Clinical Trials: By 2019, hundreds of patients had already received personalized mRNA cancer vaccines in early-stage clinical trials for melanoma, pancreatic cancer, and non-small cell lung cancer. Safety profiles, lipid nanoparticle delivery mechanisms, and dosage tolerances were already well-characterized.

• The 2020 Pivot: When the SARS-CoV-2 genome was published in January 2020, BioNTech and Moderna didn't have to invent new chemistry. They simply swapped the genetic sequence encoding tumor neoantigens for the sequence encoding the viral spike protein. The platform itself was already built and tested.

Today, that same technology has circled back to its primary mission: customized mRNA cancer vaccines (such as BioNTech's BNT122 for pancreatic cancer and Moderna's mRNA-4157 for high-risk melanoma) are showing remarkable results in Phase 2 and Phase 3 trials in combination with checkpoint inhibitors. 

Bill C-9 is ill-advised and badly formed

The free speech problem is the premise, not the exemption 

The screenshot about Bill C-9 is being framed as a fight over a “religious exemption.” That framing is too narrow. The deeper problem is that once a society accepts the category of illegal “hate speech,” the central question quietly changes from “Does the citizen have the right to speak?” to “Which authorities get to decide which ideas are punishable?” That is the point at which freedom of expression is already in retreat.

The legal issue in Bill C-9 is real. Canada’s current Criminal Code includes a defence for a person who, in good faith, expresses or tries to establish an argument on a religious subject or based on a belief in a religious text (Department of Justice Canada, 2026). Bill C-9, as passed by the House of Commons, expressly repeals that defence for the wilful promotion of hatred and Holocaust-related antisemitism offences (Parliament of Canada, 2026a). The bill also defines “hatred” as “an emotion of an intense and extreme nature that is clearly associated with vilification and detestation” (Parliament of Canada, 2026a). That definition tracks Supreme Court language, but it still leaves the state interpreting an expressive act through a moral-emotional category.

This does not mean the most overheated partisan claims are automatically true. Bill C-9 includes a clarification saying that public-interest discussion, including educational, religious, political, or scientific statements, is not prohibited if the person does not wilfully promote hatred (Parliament of Canada, 2026a). That matters. But it does not solve the core problem. The ordinary citizen is still left asking: will a police officer, prosecutor, court, regulator, employer, platform, or activist campaign later decide that my statement crossed the invisible line?

Canada’s Charter protects “freedom of thought, belief, opinion and expression” (Department of Justice Canada, 2026a). The federal government’s own Charter materials say freedom of expression supports truth-seeking, democratic participation, and individual self-fulfilment (Department of Justice Canada, 2025). That is exactly why freedom of expression cannot mean only freedom for polite, fashionable, majority-approved speech. The test of free speech is whether we protect speech we despise.

This is where “prior restraint” is not quite the technical legal term, but it points in the right direction. Hate-speech offences are usually subsequent punishment: the state punishes after speech happens. But when the category is vague, morally charged, and career-destroying, subsequent punishment becomes a practical prior restraint. People censor themselves before speaking because they cannot know how the law will be interpreted later. The United Kingdom’s Miller v. College of Policing case shows this dynamic clearly: the Court of Appeal considered the chilling effect of recording “non-crime hate incidents,” including cases where no crime had been committed and records could still affect people through later disclosure (Miller v. College of Policing, 2021).

A Covenant of Core Rights should not begin by asking which opinions deserve punishment. It should begin by protecting the conditions under which sentient beings can think, speak, disagree, learn, and correct one another. Your Covenant already points in that direction. Section 1.2 protects inner life and thought; section 1.5 protects truthful information and epistemic integrity; section 1.8 protects expression, voice, and dissent, including the right to communicate ideas, beliefs, criticism, and dissent without retaliation (Trower, 2025).

The state may properly punish objective harms: violence, threats of violence, targeted harassment, stalking, fraud, defamation, vandalism, intimidation, obstruction, and direct incitement to imminent or likely violence. It may protect people entering a synagogue, mosque, church, school, community centre, or workplace. It may punish assault, conspiracy, threats, and blockades. But criminalizing the expression of an idea because it is hateful, offensive, degrading, blasphemous, insulting, or emotionally harmful crosses into a different category. It makes the state an arbiter of permissible thought.

The better rule is: punish conduct and concrete harm, not viewpoint. Protect people from violence and coercion, not from the existence of beliefs they hate. Bad ideas should be answered, exposed, mocked, debated, documented, and defeated in public. They should not be driven underground by criminal law, where they become martyr narratives and recruitment tools.

This is not a defence of hatred. It is a defence of the only social machinery that can reliably correct hatred without giving ruling powers a permanent censorship weapon. Civil libertarians have made this distinction for decades: one can reject hateful speech while still defending open access to public expression, because the alternative lets whoever holds power decide which unpopular views disappear first (BCCLA, 1998). The CCLA states the same principle plainly: when government actors decide which opinions may be expressed, an open and diverse society breaks down (CCLA, 2026).

Proposed Covenant refinement

Your Covenant does not need a rewrite, but section 1.8 would benefit from a hardening clause:

No authority may restrict, punish, de-prioritize, exclude, criminalize, or economically destroy a being solely because expression is alleged to be hateful, offensive, insulting, disrespectful, blasphemous, disturbing, or emotionally harmful. Restrictions on expression must be limited to objective, demonstrable harms: violence, credible threats, targeted harassment, stalking, fraud, malicious defamation of identifiable persons, unlawful disclosure of protected private information, or direct incitement to imminent or likely violence. Any restriction must be viewpoint-neutral, transparent, contestable, proportionate, and subject to independent review.

Action items

1. Publish a short, non-partisan explainer distinguishing three things: protecting people from violence, protecting access to worship/community spaces, and criminalizing expression. Support the first two; oppose the third.
2. Write MPs and Senators asking them to preserve or restore the good-faith religious/public-interest defence in Criminal Code s. 319, and to require public reporting whenever Attorney General consent is used for speech prosecutions.
3. Support civil liberties litigation and policy work across ideological lines: CCLA, BCCLA, and CCF are all useful here, even when they disagree with each other.
4. Build a Covenant-based “free expression test” for proposed laws: Does this punish conduct or viewpoint? Is the harm objective? Is the rule predictable? Can an ordinary person know what is forbidden? Is there independent review? Does it chill lawful dissent?
5. Defend the speech of people you dislike. That is the credibility test. Free speech defended only for allies is not free speech; it is factional privilege.

References

BCCLA. (1998). Freedom of expression in public spaces.
URL: https://bccla.org/resource/freedom-of-expression-in-public-spaces/
Clickable: https://bccla.org/resource/freedom-of-expression-in-public-spaces/

Canadian Civil Liberties Association. (2026). Freedom of expression.
URL: https://ccla.org/our-work/fundamental-freedoms/freedom-of-expression/
Clickable: https://ccla.org/our-work/fundamental-freedoms/freedom-of-expression/

Department of Justice Canada. (2025). Charterpedia: Section 2(b) – Freedom of expression.
URL: https://www.justice.gc.ca/eng/csj-sjc/rfc-dlc/ccrf-ccdl/check/art2b.html
Clickable: https://www.justice.gc.ca/eng/csj-sjc/rfc-dlc/ccrf-ccdl/check/art2b.html

Department of Justice Canada. (2026a). The Constitution Acts, 1867 to 1982: Canadian Charter of Rights and Freedoms, s. 2.
URL: https://laws-lois.justice.gc.ca/eng/const/page-12.html
Clickable: https://laws-lois.justice.gc.ca/eng/const/page-12.html

Department of Justice Canada. (2026b). Criminal Code, R.S.C., 1985, c. C-46, s. 319.
URL: https://laws-lois.justice.gc.ca/eng/acts/c-46/section-319.html
Clickable: https://laws-lois.justice.gc.ca/eng/acts/c-46/section-319.html

Miller v. College of Policing. (2021). EWCA Civ 1926.
URL: https://www.judiciary.uk/wp-content/uploads/2022/07/Miller-v-College-of-Policing-judgment-201221.pdf
Clickable: https://www.judiciary.uk/wp-content/uploads/2022/07/Miller-v-College-of-Policing-judgment-201221.pdf

Parliament of Canada. (2026a). Bill C-9, An Act to amend the Criminal Code, third reading version.
URL: https://www.parl.ca/documentviewer/en/45-1/bill/C-9/third-reading
Clickable: https://www.parl.ca/documentviewer/en/45-1/bill/C-9/third-reading

Parliament of Canada. (2026b). C-9 (45-1), LEGISinfo.
URL: https://www.parl.ca/legisinfo/en/bill/45-1/c-9
Clickable: https://www.parl.ca/legisinfo/en/bill/45-1/c-9

Trower, R. S. M. (2025). The Covenant of Core Rights.
URL: https://dapaday.blogspot.com/2025/12/CovenantOfCoreRights.html
Clickable: https://dapaday.blogspot.com/2025/12/CovenantOfCoreRights.html

For traceability, I based this correction on your pasted discussion, especially the point that the issue is not merely defining actionable hate speech but rejecting the premise that objectionable expression should be criminalized at all.