The Wheel of Epistemology
How Do You Know That You Know?
To have knowledge, you need a reliable criterion. But to know your criterion is reliable, you need...
You claim to know something. Perhaps you know that the Earth orbits the Sun, or that 2 + 2 = 4, or simply that you exist. But consider this question:
How do you distinguish true beliefs from false ones?
You need some criterion - a method, standard, or test that separates genuine knowledge from mere opinion or error.
But now a deeper question arises:
How do you know your criterion is reliable?
To validate your criterion, do you not need another criterion?
This is the Problem of the Criterion, one of the oldest and most devastating challenges in philosophy. It was posed by ancient skeptics and revived by philosophers like Roderick Chisholm in the 20th century. And it remains unsolved.
The Infinite Regress
When you claim to know something, you can always be asked: “How do you know?” You might answer with evidence, reasoning, or a method. But then comes the next question: “How do you know THAT is reliable?”
Watch the regress unfold. Each answer generates a new question, each justification requires its own justification:
I know that P is true
Skeptic asks: “How do you know P is true?”
This is not just philosophical pedantry. The regress reveals a genuine structural problem: justification cannot get started. Every step backward needs another step, forever.
The Dilemma: If every criterion needs validation, we either never reach solid ground (infinite regress) or we must stop somewhere (but then that stopping point is unjustified).
The Trilemma: Three Bad Options
When pressed to justify our criterion for knowledge, we face exactly three options. All three are problematic. This is sometimes called Agrippa's Trilemma or Munchhausen's Trilemma.
All three options are unacceptable. Yet these are the only options.
This is the trilemma at the heart of epistemology.
No matter which horn we grasp, we seem to lose our grip on knowledge. The ancient Pyrrhonian skeptics used this argument to advocate for suspension of judgment (epoche) - simply refusing to commit to any belief about how things really are.
When Reasoning Goes in Circles
One tempting escape from infinite regress is to argue that our system of knowledge is coherent - beliefs mutually support each other. But this creates a circle.
Explore different circular structures. Notice how each element depends on others, with no independent foundation:
Each concept depends on the others. There is no independent foundation.
The problem with circular reasoning is severe: a consistent fiction could be equally coherent. Imagine an elaborate fantasy world with perfectly consistent internal logic. Coherence alone cannot distinguish it from reality.
The Appeal of Coherentism
Avoids arbitrary foundations. Knowledge is a web of mutually supporting beliefs. No belief is privileged; all are tested by their fit with the whole.
The Fatal Flaw
Multiple incompatible systems could be equally coherent. Coherence is necessary but not sufficient for knowledge. We need connection to reality, not just internal consistency.
Two Strategies: Methods vs. Examples
Philosophers have identified two broad strategies for approaching the problem. Neither fully solves it, but they represent fundamentally different starting points.
The Dilemma
Methodism
needs prior knowledge
Particularism
needs prior criterion
Roderick Chisholm, who revived interest in this problem in the 20th century, argued for particularism: we should trust our paradigm cases of knowledge and build criteria from them, rather than waiting for perfect methodological foundations.
“The methodist and the particularist are equally dogmatic, but the particularist is in a better position because at least they start with what they actually seem to know.”
- Roderick Chisholm (paraphrased)
But critics point out that particularism merely pushes the problem back: which paradigm cases do we start with?Different traditions offer different examples. Without a criterion, we cannot adjudicate.
Test Your Criterion
Throughout history, philosophers have proposed various criteria for genuine knowledge. Each faces its own version of the problem. Select a criterion and watch it face the skeptical challenge:
Select a criterion for knowledge and watch it face the skeptical challenge:
The pattern is always the same: any criterion we propose can be questioned, and the question cannot be answered without either assuming another criterion (regress) or assuming the criterion itself (circularity).
Face the Ancient Skeptic
The Pyrrhonian skeptics of ancient Greece developed the Problem of the Criterion into a powerful tool for inducing suspension of judgment. They would engage opponents in dialogue, systematically exposing the groundlessness of every claim to knowledge.
Try defending your knowledge against the skeptic. Choose your responses and see where each path leads:
Face the Ancient Skeptic
Engage with the Pyrrhonian skeptic and try to defend your claim to knowledge.
The skeptic is not trying to prove you wrong - they are showing that you cannot prove yourself right. The goal is not negative dogmatism but peaceful suspension, living without the anxiety of needing certain foundations.
Historical Responses
Philosophers have grappled with this problem for over two millennia. None has produced a universally accepted solution, but each response illuminates different aspects of the challenge:
Why This Matters
The Problem of the Criterion is not just an academic exercise. It has profound implications for how we think about science, disagreement, and the limits of reason.
Scientific Method
Science relies on empirical criteria, but these cannot be empirically validated without circularity. The success of science does not prove it tracks truth - that would assume what needs proving.
Disagreement and Dialogue
When people with different criteria disagree, there may be no neutral ground for resolution. Each criterion validates itself and dismisses rivals. Reasonable disagreement may be permanent.
AI and Machine Learning
ML systems learn criteria for classification from data. But the choice of training data, loss functions, and architecture embodies prior criteria. No learning is presuppositionless.
Humility and Fallibilism
The problem suggests that certainty about our methods may be unattainable. This is not despair but an invitation to intellectual humility and openness to revision.
The deepest lesson:
Every system of knowledge rests on foundations it cannot fully justify. Reason has limits. Those limits are not failures - they are features of what it means to be finite knowers in an uncertain world.
We know more than we can prove.
And perhaps that is enough.
Explore More Philosophical Puzzles
The Problem of the Criterion connects to many other deep issues in epistemology. Each explainer reveals new facets of what it means to know.
References: Sextus Empiricus, Chisholm (1973), Fogelin (1994)