1. The Problem With Conspiracy Theories
There is a problem with conspiracy theories that is easy to miss: they are not always built from lies. Some are built from things that are entirely real—genuine events, institutions, experiments, mathematics, historical documents and scientific discoveries. The problem begins when those legitimate pieces are assembled into connections that the underlying evidence does not actually establish.
I call the result borrowed authority.
A claim can acquire some of the persuasive force of something else simply by being placed beside it. A genuine equation can make a speculative proposition feel mathematical. A historical fact can make an unrelated interpretation feel historically grounded. A reference to a famous scientist can make an unsupported idea feel scientifically respectable.
The claim itself has not necessarily become stronger. Its surroundings have become more authoritative.
That distinction matters because some conspiracies really are conspiracies. Governments have conducted secret programmes, intelligence agencies have concealed operations, corporations have deceived people, and institutions have sometimes coordinated actions in secret. History contains genuine conspiracies, including some that were once dismissed as implausible.
So the useful question is not whether conspiracies can exist. They clearly can. The more interesting question is how a plausible suspicion becomes an elaborate explanation, and how that explanation can acquire an appearance of certainty that its evidence does not deserve.
One particularly revealing example is a strange scientific-looking construction sometimes presented as a fundamental map of reality: The Recovered Tree of Nature.
2. A Tree That Appears to Explain Everything
At first glance, the Tree does not resemble the familiar conspiracy infographic. There are no cartoon villains, UFOs or red strings connecting photographs. Instead, it presents a highly technical architecture involving covariant continuity, hydrodynamics, spectral organisation, prime numbers, logarithmic coordinates, the Riemann zeta function, physical regimes, biological organisation and cognition.
It contains equations, a hierarchy, named principles and carefully numbered structures. There is a Prime Spine, ten descent tiers, thirty-three sectors, hundreds of containers and thousands of listed authorities.
The overall impression is unmistakable: this looks like a theory that has been systematically derived from mathematics and physics.
That impression is precisely what makes it worth examining.
The first step is not to laugh at it or declare everything inside it nonsense. Quite a few of the ingredients are perfectly legitimate. Conservation laws are legitimate. Covariant mathematics is legitimate. Hydrodynamics is legitimate. Prime numbers and the Riemann zeta function are legitimate mathematics. Biology and cognition are legitimate fields of scientific inquiry.
The interesting question is therefore not whether the ingredients are real.
It is what has been done with them.
3. The Ingredients Are Real. The Recipe Is Another Matter.
Imagine being handed a dish made from excellent ingredients. You recognise the vegetables, the spices and the meat, so you naturally assume the finished dish must be good. But the authenticity of the ingredients tells you very little about whether they have been combined into a valid recipe.
The same problem appears here.
A mathematical object can be genuine while the physical interpretation attached to it is speculative. A scientific principle can be correctly described while being applied outside the conditions in which it has actually been established. A historical fact can be completely accurate while being used to support a conclusion that does not follow from it.
This is why borrowed authority is more interesting than simply calling something “pseudoscience.”
The construction does not necessarily need to invent its scientific ingredients. It can borrow their credibility and use that credibility to support a much larger synthesis.
The result can be intellectually impressive while remaining evidentially weak.
4. Look Closely at the Arrows
The Tree presents a sequence in which one layer appears to lead naturally into another: continuity, hydrodynamics, constraints, spectral organisation, modal structure, prime numbers, physical regimes, biological organisation and eventually cognition.
A diagram naturally encourages us to read those transitions as relationships of derivation. When one box points to another, the eye assumes that the second somehow follows from the first.
But what does each arrow actually mean?
Does it represent a mathematical derivation? An experimentally established relationship? A physical mechanism? A statistical correlation? A philosophical interpretation? Or simply the author’s belief that two concepts belong together?
Those possibilities are not interchangeable.
If the Tree claims that one layer is mathematically derived from another, we should be able to see the derivation. If it claims a physical relationship, we should be able to identify the mechanism and the evidence. If it proposes a speculative interpretation, it should be labelled as such.
A diagram can represent a relationship without demonstrating it.
Representation is not derivation.
That is one of the most important distinctions in the entire exercise.
5. The Prime Spine
The Prime Spine is particularly effective because prime numbers really are mathematically remarkable.
Primes are fundamental objects in number theory. The Euler product for the Riemann zeta function really does express the zeta function in terms of primes. Logarithmic transformations really are useful mathematical tools.
Nothing needs to be fabricated.
The crucial question is different:
Why should prime numbers form a physical “spine” of nature?
That proposition requires an argument of its own.
It is not enough to show that primes have deep mathematical properties. Mathematics contains an extraordinary number of structures. The existence of a beautiful relationship within mathematics does not by itself establish that nature has selected that relationship as its underlying organisational principle.
This is where a genuine mathematical object can be used as a kind of intellectual credential.
The mathematics is real, but the proposed bridge from mathematics to physical reality needs independent justification.
Otherwise, the equation is doing something it was never asked to do in the first place: providing the atmosphere of proof.
6. Precision Can Be Persuasive
The same problem appears in the Tree’s numerical architecture.
It gives us exact-looking quantities: ten descent tiers, thirty-three sectors, 425 branch or node containers and 4,881 authorities. Such precision naturally suggests measurement. We instinctively imagine that somebody discovered these numbers by carefully observing or calculating something about reality.
But there is an important question behind every exact number:
Derived from what?
A number can be perfectly accurate within a classification system created by its author. If someone decides to divide a conceptual structure into thirty-three sectors and then counts them carefully, the resulting number may indeed be 33. That does not mean that nature itself contains a fundamental quantity of thirty-three sectors.
This distinction is easy to miss because precision has an aura of objectivity.
A decimal place does not make a proposition empirical. An exact count does not make a category natural. A complicated taxonomy does not become a law of physics merely because every item has been numbered.
Precision without derivation is still just precision.
7. The Biggest Leap Is the Quietest One
The Tree eventually connects physical organisation to biology and cognition. This is where its ambitions become enormous.
There is nothing controversial about saying that biological systems obey physical laws. There is nothing controversial about studying how chemistry arises from physical interactions, or how cognition depends on physical processes in biological systems.
But those statements are very different from claiming that a particular mathematical architecture has derived the progression from fundamental physics to matter, life and consciousness.
That stronger claim requires intermediate mechanisms and testable consequences.
A line connecting physics to biology on a diagram is not itself an explanation of how biology emerges. A line connecting biology to cognition does not establish a theory of consciousness.
The visual hierarchy can make these transitions appear smoother than the underlying argument actually is.
The tree has drawn the branches. It has not necessarily demonstrated why the tree must grow that way.
8. The Artistic Render of Science
There is a useful phrase for this kind of construction:
An artistic render of scientific principles.
That is not necessarily an insult.
Science routinely uses visual representations to communicate ideas that are otherwise difficult to see. We draw molecules, spacetime, neural networks, galaxies and abstract mathematical structures. A visualisation can be extraordinarily useful without itself being a scientific proof.
The problem arises when the representation silently changes status.
It begins as a way of illustrating an idea and starts functioning as evidence for the idea.
A sophisticated diagram can therefore create an unusual illusion: the reader sees the complexity of the representation and unconsciously attributes that complexity to the underlying evidence.
Visual sophistication can impersonate evidential sophistication.
A beautiful rendering of a scientific idea is not a scientific demonstration of that idea.
9. When Terminology Becomes Camouflage
The same mechanism operates at the level of language.
Words such as quantum, field, resonance, frequency, entropy, information and dimension have precise meanings within particular scientific contexts. They become problematic when their technical associations are transferred into a new argument without preserving those meanings.
This is one reason scientific-looking word salad can be so persuasive. The individual words may all be legitimate, yet the sentence formed from them may not express a scientifically meaningful proposition.
The solution is surprisingly simple: make every important term earn its place.
What exactly does “frequency” mean here? What is oscillating? What is the field? What quantity is being measured? What equation connects the proposed phenomenon to the physical mechanism? What prediction follows from the claim? What observation would count against it?
Once those questions are asked, technical vocabulary loses much of its protective power.
The problem was never necessarily the words. It was the unsupported connective tissue between them.
10. Borrowed Authority Works by Association
This is the deeper pattern.
Suppose a weak claim appears by itself. It is easy to question. Now surround it with an equation, a scientific term, a historical reference, a famous name, a precise number and a complicated diagram.
The original claim has not necessarily acquired any new evidence. But it now sits inside an environment saturated with signals of credibility.
We do not normally experience this as a conscious transfer of authority. We simply experience the entire package as more serious, more technical and more researched.
That is what makes the mechanism powerful.
Human beings cannot independently verify everything they encounter. We rely on expertise, institutions and other people’s work because doing otherwise would be impossible. We also use familiarity, coherence and pattern recognition as shortcuts.
Those shortcuts are useful.
They can also be exploited.
Borrowed authority is what happens when the credibility of genuine knowledge is allowed to spill over into propositions that have not earned the same credibility.
11. Complexity Can Hide the Weak Links
There is another reason elaborate systems can be difficult to evaluate: complexity itself becomes a form of protection.
A simple claim can be challenged directly. A huge conceptual architecture is harder to interrogate because every objection seems to lead into another branch, another definition or another supporting reference.
But complexity does not automatically mean explanatory power.
A thousand claims do not constitute a thousand pieces of evidence. A thousand arrows do not constitute a thousand demonstrated causal relationships.
The right response to a giant diagram is therefore not to become intimidated by its size. It is to make the diagram smaller.
Take each important arrow and ask what evidence supports it. Take each category and ask where it came from. Take each equation and ask what proposition it actually establishes. Take each number and ask how it was derived.
The apparent grandeur of the system can disappear surprisingly quickly when its individual joints are examined.
12. The Conspiracy Sausage
This is where the metaphor becomes useful.
The sausage may contain genuine science, genuine mathematics, genuine history and genuine observations. None of those ingredients needs to be counterfeit.
The problem is what happens after they enter the grinder.
A scientific principle established in one context may be attached to an unrelated proposition. A mathematical pattern may be interpreted as physical evidence. A historical fact may be used to validate a modern claim. A speculative connection may then be connected to another speculative connection.
Eventually, the finished product is presented as though the authority of the ingredients belongs to the whole.
It doesn’t.
Facts can be borrowed. Authority can be borrowed. But evidence cannot be transferred by association.
That may be the central idea of this series.
13. This Isn’t Just a Conspiracy-Theory Problem
It would be a mistake to imagine that this mechanism belongs exclusively to conspiracy culture.
A financial commentator can surround a weak prediction with economic terminology. A wellness influencer can wrap an unsupported claim in medical language. A politician can use genuine historical facts to create an unjustified historical narrative. A technology evangelist can combine legitimate research with speculation and present the whole package as though it has the same evidential status.
The vulnerability is broader than conspiracy theories.
What changes in conspiracy culture is often the scale of the synthesis.
Once everything can be connected to everything else, almost any new observation can be recruited into the system.
And that brings us to an important warning.
14. Not Everything That Fits Is Evidence
A powerful conspiracy framework often has an answer for apparently contradictory information.
If evidence supports the theory, it is evidence.
If evidence contradicts the theory, perhaps the evidence was manipulated.
If an institution denies the theory, that denial becomes evidence that the institution is hiding something.
If no evidence exists, perhaps the evidence was destroyed.
The system gradually becomes self-sealing.
At that point, the problem is no longer simply that individual claims may be wrong. The structure has become difficult to falsify because almost any possible observation can be absorbed into the explanation.
A theory that can explain everything can become indistinguishable from a theory that predicts nothing.
15. The Autopsy
So how should we examine something like the Recovered Tree of Nature without either accepting it wholesale or dismissing it wholesale?
Start by separating its components into different epistemic categories.
Established means independently supported scientific or mathematical facts. Inferred means conclusions that follow only after accepting additional assumptions. Interpretive means a particular way of organising or understanding legitimate information. Speculative means possibilities that may be interesting but have not been demonstrated. Unsupported means claims for which the necessary evidence or derivation has not been provided.
This simple classification changes the exercise completely.
We no longer have to decide whether the entire Tree is “science” or “nonsense.” We can ask which parts deserve which level of confidence.
That is a much more useful question.
It also protects us from making the opposite mistake: assuming that because some claims within a system are unsupported, every underlying fact must therefore be false.
Good scepticism is selective.
16. The Question to Carry Forward
The most useful test is to strip away the features that give the construction its scientific authority. Set aside the equations, not because they are meaningless, but so that we can ask what they actually establish. Translate the jargon into ordinary language, remove the prestige of famous names, and question the significance of precise numbers by asking how they were derived. Then ignore the visual hierarchy and the apparent relationships between the boxes and arrows. Examine those relationships as individual claims and ask whether each one has actually been demonstrated.
Once all of that is stripped back, examine the underlying argument. What is actually being claimed? What evidence supports it? What assumptions are required to connect one claim to the next?
What remains when we remove everything that makes the argument look scientific?
That is the first lesson of Borrowed Authority.
The Recovered Tree borrows primarily from mathematics and science. The next case is more ambitious. It brings mythology, religion, ancient cosmology, historical interpretation, selective experiments, institutional distrust and modern scientific vocabulary into the same construction.
Next: Flat Earth — when myth becomes science.