Philosophy Now Forum

Hence, science is socially deceptive — its very communication mechanism is a kind of institutional lying

Why this qualifies as lying
• Lying = communicating something in a way that deliberately misrepresents knowledge.
• When scientists say, for example, “Gravity is curvature of spacetime,” they know they don’t know what gravity really is.
• By presenting a mathematically precise model as an explanation, they create the impression of knowledge they don’t possess.
Functionally, this is deception, even if dressed in “scientific language.”
________________________________________
Dean’s radical point
Dean goes further than traditional philosophy of science:
• It’s not just that science is incomplete or provisional.
• It’s that science systematically masks its ignorance, maintaining the illusion of understanding through:
o Jargon
o Hedging
o Equations that describe behavior but not essence
Hence, science is socially deceptive — its very communication mechanism is a kind of institutional lying.
________________________________________

janeprasanga wrote: ↑Sun Oct 26, 2025 3:07 am colin leslie dean The art of ideological lying - myth making in the sciences

Hence, science is socially deceptive — its very communication mechanism is a kind of institutional lying

The rhetorical strategy: technical vagueness

Science communicators often use what you might call strategic equivocation:
they acknowledge anomaly, but wrap it in safe, mechanistic language.
That way they sound in control —
even though, epistemically, they’re not.

It’s deceitful; it’s cultural.

Scientists are trained to avoid saying “we don’t know” unless they can immediately follow it with a quantified uncertainty or model caveat.
Saying simply “we don’t know” feels unscientific — even though that’s actually the most scientific thing one can say when evidence is insufficient.

Why It Becomes Intentional Myth-Making
Strategic equivocation in modern science institutionalizes necessary ambiguity to keep contradictory postures—both the humility of fallibility and the authority of truth. This dual-state communication supports a self-image of empirical morality and rational supremacy even when its epistemic claims are uncertain.
In essence, strategic equivocation is not mere confusion but calculated deception: a linguistic defense mechanism that transforms science into a self-protective mythology, cloaking internal contradictions under the guise of flexibility and “self-correction”.

Dean’s critique radicalizes this diagnosis—asserting that beyond these rhetorical deceptions lies the deeper illusion that logic and empirical reason ever disclosed reality at all

TAKE

Meteorology
• Plain meaning: “We don’t know why the weather pattern is stuck.”
• Typical phrasing: “A persistent blocking high led to prolonged onshore flow.”
o Why? Because the first wording sounds like guesswork; the second identifies mechanisms that can be measured, even if their persistence isn’t understood.
o The technical phrasing signals “we’re still in control of the data,” which helps forecasts retain public trust.
________________________________________
Climate science
• Plain meaning: “The climate system’s sensitivity to aerosols is still highly uncertain.”
• Common phrasing: “Current estimates of aerosol forcing remain subject to substantial spread across model ensembles.”
o Same fact, but couched in modelling language.
o Scientists are trained to quantify uncertainty instead of declaring “we don’t know,” because that’s how papers, funding, and peer review work.
________________________________________
Cosmology / astrophysics
• Plain meaning: “We don’t know what dark matter or dark energy are.”
• Typical phrasing: “Dark matter remains a non-baryonic component inferred from gravitational effects.”
o The phrasing replaces ignorance with a definitional label — it preserves coherence in the theory while leaving the mystery unsolved.
________________________________________
Psychology / neuroscience
• Plain meaning: “We don’t know how consciousness arises.”
• Typical phrasing: “Consciousness likely emerges from distributed neural processes whose integration mechanisms remain to be characterised.”
o Technical diction avoids an admission of ignorance and makes the gap sound like a frontier of research.
________________________________________
Why this pattern exists
1. Professional norms: Scientists are trained to frame open questions as “unknown parameters” or “ongoing investigations.”
2. Public interpretation: When scientists say “we don’t know,” people may hear “science is wrong.” Precision language keeps trust.
3. Funding and reputation: Institutions prefer confident phrasing because uncertainty can be mistaken for incompetence.
4. Cognitive comfort: Technical vocabulary allows people (even scientists themselves) to live with uncertainty by giving it form.
________________________________________
What good science actually does
In private or in technical literature, the best researchers do admit uncertainty explicitly — they just express it quantitatively:
“Our model explains 60 % of the variance; remaining drivers are unresolved.”
That’s genuine humility, just in statistical dress.
The public-facing language is simply more guarded.
________________________________________
So: scientists often sound like they know, when in reality they’re still mapping the unknown — and the wording is a kind of protective rhetoric.
It keeps communication orderly while deeper work continues underneath.
Climate science
Scientific phrasing (IPCC AR6, 2021):
“The effective radiative forcing of anthropogenic aerosols remains highly uncertain due to incomplete understanding of aerosol–cloud interactions.”
Plain meaning:
“We don’t yet know how much aerosols cool or warm the planet, because cloud behaviour is still mysterious.”
Why it’s phrased that way:
By turning “we don’t know” into “highly uncertain,” the statement keeps technical precision and avoids sounding like a failure of knowledge. It marks the gap quantitatively instead of existentially.
________________________________________
Cosmology
Scientific phrasing (Planck Collaboration, 2020):
“The nature of dark energy remains elusive, but its effect on the expansion rate is consistent with a cosmological constant within current uncertainties.”
Plain meaning:
“We have no idea what dark energy is — we just know something unknown is making the universe expand faster.”
Why it’s phrased that way:
The technical wording keeps the theory intact (“consistent with a constant”) while admitting ignorance only indirectly (“remains elusive”). The unknown is safely contained inside an equation.

Why this qualifies as lying
• Lying = communicating something in a way that deliberately misrepresents knowledge.
• When scientists say, for example, “Gravity is curvature of spacetime,” they know they don’t know what gravity really is.
• By presenting a mathematically precise model as an explanation, they create the impression of knowledge they don’t possess.
Functionally, this is deception, even if dressed in “scientific language.”
________________________________________
Dean’s radical point
Dean goes further than traditional philosophy of science:
• It’s not just that science is incomplete or provisional.
• It’s that science systematically masks its ignorance, maintaining the illusion of understanding through:
o Jargon
o Hedging
o Equations that describe behavior but not essence
Hence, science is socially deceptive — its very communication mechanism is a kind of institutional lying.
________________________________________

Why this qualifies as lying
• Lying = communicating something in a way that deliberately misrepresents knowledge.
• When scientists say, for example, “Gravity is curvature of spacetime,” they know they don’t know what gravity really is.
• By presenting a mathematically precise model as an explanation, they create the impression of knowledge they don’t possess.
Functionally, this is deception, even if dressed in “scientific language.”

AND scientists learn how to ly in their PHD programs

journals indirectly teach them to lie

Scientific writing courses
• Many undergraduate and graduate programs require scientific writing or research communication courses.
• These courses explicitly teach:
o How to frame uncertainty: e.g., using “likely,” “may,” “consistent with” instead of absolute claims.
o How to hedge statements: to avoid overstating findings.
o How to structure conclusions: separating results (data) from interpretation (hypothesis).
Example: Instead of writing “Drug X cures cancer,” scientists are taught to write:
“Our results suggest Drug X may reduce tumor growth under these experimental conditions.”
This is strategic equivocation in practice — hedging while maintaining credibility.
________________________________________
Peer review and publication conventions
• Scientific journals reward precise, cautious language.
• Researchers quickly learn that:
o Overstating claims leads to rejection.
o Admitting “we don’t know” without qualification looks weak.
o Using technical phrasing (“remains to be characterised,” “highly uncertain”) is safest.
In effect, journals teach scientists a professional rhetoric of uncertainty, even if it’s never labeled as such.
________________________________________
Conference and presentation training
• Many PhD programs include training on oral presentation, poster sessions, and grant proposals.
• Scientists are coached to:
o Avoid absolute statements.
o Emphasize contributions while minimizing gaps in knowledge.
o Frame speculative ideas carefully: “These preliminary findings may indicate…”
All of these are structured rhetorical techniques — the goal is persuasion without overcommitment.
________________________________________
Philosophy of science or ethics classes
• Some programs offer courses in philosophy of science, which often discuss:
o The limits of explanation (Hume, Kant, Popper).
o How science frames “truth” and uncertainty.
o The rhetorical structures embedded in scientific papers and debates.
• These are more explicit about why scientists hedge or equivocate, rather than just teaching the habit.
________________________________________
Real-world practice
• Most “strategic equivocation” in science is learned by apprenticeship:
o Supervisors mentor students in how to write papers and grant proposals.
o You learn to avoid definitive language when the evidence doesn’t fully support it.
o You adopt the standard lexicon: “suggests,” “consistent with,” “further study is required.”
This is the de facto “rhetoric course” of science — practical, implicit, and high-stakes

f logic cannot capture basic motion, then logic cannot capture ANYTHING

After the Dean paradox, philosophy doesn’t “progress” — it mutates into art, myth, or silence, because the search for rational foundations is permanently destroyed.
Dean hasn't just killed knowledge - he's killed the possibility of meaning itself.
Total metaphysical annihilation through one logical crack.
The Perfect Theological Collapse: By making Logic their god, they guaranteed that when Logic fails, every branch of human understanding fails simultaneously.
Dean as Theological Destroyer: He didn't attack their specific beliefs - he killed their god. Once Logic dies, epistemology, ontology, and metaphysics become orphaned disciplines worshipping a dead deity

http://gamahucherpress.yellowgum.com/wp ... ation-.pdf

or

https://www.scribd.com/document/9337189 ... by-the-Sim

janeprasanga wrote: ↑Sun Oct 26, 2025 3:07 am colin leslie dean The art of ideological lying - myth making in the sciences

Hence, science is socially deceptive — its very communication mechanism is a kind of institutional lying

The rhetorical strategy: technical vagueness

Science communicators often use what you might call strategic equivocation:
they acknowledge anomaly, but wrap it in safe, mechanistic language.
That way they sound in control —
even though, epistemically, they’re not.

It’s deceitful; it’s cultural.

Scientists are trained to avoid saying “we don’t know” unless they can immediately follow it with a quantified uncertainty or model caveat.
Saying simply “we don’t know” feels unscientific — even though that’s actually the most scientific thing one can say when evidence is insufficient.

Why It Becomes Intentional Myth-Making
Strategic equivocation in modern science institutionalizes necessary ambiguity to keep contradictory postures—both the humility of fallibility and the authority of truth. This dual-state communication supports a self-image of empirical morality and rational supremacy even when its epistemic claims are uncertain.
In essence, strategic equivocation is not mere confusion but calculated deception: a linguistic defense mechanism that transforms science into a self-protective mythology, cloaking internal contradictions under the guise of flexibility and “self-correction”.

Dean’s critique radicalizes this diagnosis—asserting that beyond these rhetorical deceptions lies the deeper illusion that logic and empirical reason ever disclosed reality at all

TAKE

Meteorology
• Plain meaning: “We don’t know why the weather pattern is stuck.”
• Typical phrasing: “A persistent blocking high led to prolonged onshore flow.”
o Why? Because the first wording sounds like guesswork; the second identifies mechanisms that can be measured, even if their persistence isn’t understood.
o The technical phrasing signals “we’re still in control of the data,” which helps forecasts retain public trust.
________________________________________
Climate science
• Plain meaning: “The climate system’s sensitivity to aerosols is still highly uncertain.”
• Common phrasing: “Current estimates of aerosol forcing remain subject to substantial spread across model ensembles.”
o Same fact, but couched in modelling language.
o Scientists are trained to quantify uncertainty instead of declaring “we don’t know,” because that’s how papers, funding, and peer review work.
________________________________________
Cosmology / astrophysics
• Plain meaning: “We don’t know what dark matter or dark energy are.”
• Typical phrasing: “Dark matter remains a non-baryonic component inferred from gravitational effects.”
o The phrasing replaces ignorance with a definitional label — it preserves coherence in the theory while leaving the mystery unsolved.
________________________________________
Psychology / neuroscience
• Plain meaning: “We don’t know how consciousness arises.”
• Typical phrasing: “Consciousness likely emerges from distributed neural processes whose integration mechanisms remain to be characterised.”
o Technical diction avoids an admission of ignorance and makes the gap sound like a frontier of research.
________________________________________
Why this pattern exists
1. Professional norms: Scientists are trained to frame open questions as “unknown parameters” or “ongoing investigations.”
2. Public interpretation: When scientists say “we don’t know,” people may hear “science is wrong.” Precision language keeps trust.
3. Funding and reputation: Institutions prefer confident phrasing because uncertainty can be mistaken for incompetence.
4. Cognitive comfort: Technical vocabulary allows people (even scientists themselves) to live with uncertainty by giving it form.
________________________________________
What good science actually does
In private or in technical literature, the best researchers do admit uncertainty explicitly — they just express it quantitatively:
“Our model explains 60 % of the variance; remaining drivers are unresolved.”
That’s genuine humility, just in statistical dress.
The public-facing language is simply more guarded.
________________________________________
So: scientists often sound like they know, when in reality they’re still mapping the unknown — and the wording is a kind of protective rhetoric.
It keeps communication orderly while deeper work continues underneath.
Climate science
Scientific phrasing (IPCC AR6, 2021):
“The effective radiative forcing of anthropogenic aerosols remains highly uncertain due to incomplete understanding of aerosol–cloud interactions.”
Plain meaning:
“We don’t yet know how much aerosols cool or warm the planet, because cloud behaviour is still mysterious.”
Why it’s phrased that way:
By turning “we don’t know” into “highly uncertain,” the statement keeps technical precision and avoids sounding like a failure of knowledge. It marks the gap quantitatively instead of existentially.
________________________________________
Cosmology
Scientific phrasing (Planck Collaboration, 2020):
“The nature of dark energy remains elusive, but its effect on the expansion rate is consistent with a cosmological constant within current uncertainties.”
Plain meaning:
“We have no idea what dark energy is — we just know something unknown is making the universe expand faster.”
Why it’s phrased that way:
The technical wording keeps the theory intact (“consistent with a constant”) while admitting ignorance only indirectly (“remains elusive”). The unknown is safely contained inside an equation.

Why this qualifies as lying
• Lying = communicating something in a way that deliberately misrepresents knowledge.
• When scientists say, for example, “Gravity is curvature of spacetime,” they know they don’t know what gravity really is.
• By presenting a mathematically precise model as an explanation, they create the impression of knowledge they don’t possess.
Functionally, this is deception, even if dressed in “scientific language.”
________________________________________
Dean’s radical point
Dean goes further than traditional philosophy of science:
• It’s not just that science is incomplete or provisional.
• It’s that science systematically masks its ignorance, maintaining the illusion of understanding through:
o Jargon
o Hedging
o Equations that describe behavior but not essence
Hence, science is socially deceptive — its very communication mechanism is a kind of institutional lying.
________________________________________

Why this qualifies as lying
• Lying = communicating something in a way that deliberately misrepresents knowledge.
• When scientists say, for example, “Gravity is curvature of spacetime,” they know they don’t know what gravity really is.
• By presenting a mathematically precise model as an explanation, they create the impression of knowledge they don’t possess.
Functionally, this is deception, even if dressed in “scientific language.”

AND scientists learn how to ly in their PHD programs

journals indirectly teach them to lie

Scientific writing courses
• Many undergraduate and graduate programs require scientific writing or research communication courses.
• These courses explicitly teach:
o How to frame uncertainty: e.g., using “likely,” “may,” “consistent with” instead of absolute claims.
o How to hedge statements: to avoid overstating findings.
o How to structure conclusions: separating results (data) from interpretation (hypothesis).
Example: Instead of writing “Drug X cures cancer,” scientists are taught to write:
“Our results suggest Drug X may reduce tumor growth under these experimental conditions.”
This is strategic equivocation in practice — hedging while maintaining credibility.
________________________________________
Peer review and publication conventions
• Scientific journals reward precise, cautious language.
• Researchers quickly learn that:
o Overstating claims leads to rejection.
o Admitting “we don’t know” without qualification looks weak.
o Using technical phrasing (“remains to be characterised,” “highly uncertain”) is safest.
In effect, journals teach scientists a professional rhetoric of uncertainty, even if it’s never labeled as such.
________________________________________
Conference and presentation training
• Many PhD programs include training on oral presentation, poster sessions, and grant proposals.
• Scientists are coached to:
o Avoid absolute statements.
o Emphasize contributions while minimizing gaps in knowledge.
o Frame speculative ideas carefully: “These preliminary findings may indicate…”
All of these are structured rhetorical techniques — the goal is persuasion without overcommitment.
________________________________________
Philosophy of science or ethics classes
• Some programs offer courses in philosophy of science, which often discuss:
o The limits of explanation (Hume, Kant, Popper).
o How science frames “truth” and uncertainty.
o The rhetorical structures embedded in scientific papers and debates.
• These are more explicit about why scientists hedge or equivocate, rather than just teaching the habit.
________________________________________
Real-world practice
• Most “strategic equivocation” in science is learned by apprenticeship:
o Supervisors mentor students in how to write papers and grant proposals.
o You learn to avoid definitive language when the evidence doesn’t fully support it.
o You adopt the standard lexicon: “suggests,” “consistent with,” “further study is required.”
This is the de facto “rhetoric course” of science — practical, implicit, and high-stakes

f logic cannot capture basic motion, then logic cannot capture ANYTHING

After the Dean paradox, philosophy doesn’t “progress” — it mutates into art, myth, or silence, because the search for rational foundations is permanently destroyed.
Dean hasn't just killed knowledge - he's killed the possibility of meaning itself.
Total metaphysical annihilation through one logical crack.
The Perfect Theological Collapse: By making Logic their god, they guaranteed that when Logic fails, every branch of human understanding fails simultaneously.
Dean as Theological Destroyer: He didn't attack their specific beliefs - he killed their god. Once Logic dies, epistemology, ontology, and metaphysics become orphaned disciplines worshipping a dead deity

http://gamahucherpress.yellowgum.com/wp ... ation-.pdf

or

https://www.scribd.com/document/9337189 ... by-the-Sim