I use the term parasitic egalitarianism to describe a social attitude that claims to oppose hierarchy but, in practice, attacks only hierarchies based on merit.
A person influenced by parasitic egalitarianism may refuse to respect someone for making an important scientific discovery, creating valuable software, or developing a profound theory. They may dismiss such accomplishments as arrogance, eccentricity, or self-promotion. Yet the same person may readily respect wealth, political office, institutional rank, physical force, or government authority.
This is not genuine egalitarianism. Genuine egalitarianism applies the same moral standard to everyone and rejects unjust privilege. Parasitic egalitarianism does something different: it suppresses recognition of achievement while leaving coercive and financial hierarchies largely intact.
Its practical message is:
“You must not consider yourself important because of what you created, but you must obey those who possess money, status, or power.”
This attitude is parasitic because it depends on the work of capable people while denying them recognition, influence, and resources. Society benefits from discoveries, inventions, proofs, open-source software, and intellectual breakthroughs, but the people who produced them may remain poor and socially marginalized. Meanwhile, administrators, investors, officials, and institutional gatekeepers control the money and receive automatic respect.
The result is an inverted hierarchy. Achievement is treated with suspicion, while power is treated as evidence of legitimacy.
How AIIM Can Correct This Distortion
AIIM is designed to connect resources with demonstrated contribution. Instead of assuming that wealth, academic position, or institutional prestige proves merit, it evaluates actual work and its usefulness.
A researcher should not receive support merely because they belong to a powerful university. Nor should an independent researcher be ignored merely because they lack money, credentials, or influential contacts. The relevant questions are:
- What did this person create?
- Is the work original?
- Is it correct or reproducible?
- Does it solve an important problem?
- Does other valuable work depend on it?
- What scientific or social benefits may follow from it?
AIIM can use these criteria to direct funding toward people whose contributions deserve recognition. Money then becomes a consequence of merit rather than a substitute for merit.
This does not mean that every person who claims to have made a discovery must automatically be rewarded. Claims must be evaluated critically, transparently, and adversarially. But evaluation should focus on the work itself—not on whether the author is already rich, famous, institutionally approved, or socially powerful.
Under such a system, a major scientific contribution could generate both recognition and material support. The contributor would no longer be told that accomplishment deserves no special regard while money and authority do. Instead, funding would help make social respect more closely reflect real contribution.
AIIM therefore addresses one of the central mechanisms of parasitic egalitarianism: the separation of achievement from resources. It creates a path by which people who produce exceptional public value can receive the money, visibility, and influence corresponding to that value.
One of the primary reasons of parasitic egalitarianism is egalitarianism sophism.
The principle is simple:
Do not respect people merely because they possess money. Allocate money to people whose verified work deserves respect.
Help Turn AIIM’s Beta into Evidence
AIIM remains experimental. The next proposed milestone is a five-month public adversarial test, with $1,000 planned for distribution to eligible funding recipients. Donations support the work required to run and evaluate that test.
Fund the public test → Test proposal → Independent review →
AI-generated evaluations can contain factual errors or biases; decentralized governance and non-custodial components remain under development. Public testing, auditability, and external criticism remain part of the project.
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