How Do We Know
What We Know?

Every time you check whether a website is legit before entering your credit card info, you're wrestling with a 2,000-year-old philosophical problem. That's epistemology at work—the study of knowledge, belief, truth, and justification.

What is Epistemology?

Epistemology—from the Greek words episteme (knowledge) and logos (study)—is one of philosophy's oldest questions: what does it mean to actually know something? Not just believe it or hope it's true, but genuinely know it.

This question affects pretty much everything you do, from deciding which news sources to trust to figuring out if that email from your "bank" is real. The questions epistemologists chase are deceptively simple but maddeningly complex: What really counts as knowledge? How can we tell the difference between genuine knowledge and lucky guesses?

The Big Three: Belief, Truth, and Justification

At its core, epistemology circles around three concepts that work together like a three-legged stool.

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Belief

Your psychological acceptance that something is true. You can believe something that's false—lots of people believed the Earth was flat.

Truth

Your belief actually matches reality. You can stumble onto truth by accident without any good reason—broken clocks are right twice a day.

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Justification

The evidence or reasoning that backs up your belief. The trick is getting all three aligned to achieve genuine knowledge.

A Journey Through Philosophical History

Ancient Wisdom: When Plato Thought He Had It Figured Out

Back in ancient Greece, Plato came up with what seemed like the perfect definition: knowledge is justified true belief. Pretty straightforward, right? For you to know something, you need to believe it, it needs to be true, and you need good reasons for believing it.

Aristotle built on this foundation, though he got interested in the different flavors of knowledge—the theoretical stuff you contemplate versus the practical know-how that guides your actions. For about 2,300 years, philosophers basically ran with Plato's definition.

The Great Divide: Reason vs. Experience

Fast-forward to the 17th and 18th centuries, when European philosophers split into two camps that couldn't have disagreed more about where knowledge comes from.

"The rationalists were team reason, believing real knowledge comes from thinking and pure rational deduction. The empiricists insisted that all knowledge starts with experience."

The rationalists—Descartes, Spinoza, and Leibniz—argued that real knowledge comes from thinking. Descartes famously doubted everything until he hit bedrock: "I think, therefore I am."

The empiricists—Locke, Berkeley, and Hume—called BS on that. They insisted all knowledge starts with experience. Locke's famous image was the mind as a blank slate at birth, with everything we know written on it by our experiences.

Kant came along and basically said "You're both right—and both wrong," proposing synthetic a priori knowledge—stuff that's both informative and knowable through reason alone.

The Gettier Bomb

So we're cruising along with Plato's 2,000-year-old definition, and then in 1963, philosopher Edmund Gettier publishes a three-page paper that blows the whole thing up.

Gettier showed cases where someone has a justified true belief but clearly doesn't have knowledge. Here's a classic example: You believe "the person who'll get the job has ten coins in his pocket" because you've seen solid evidence that Jones will get it. But plot twist—you get the job, and by pure coincidence, you also have ten coins. Your belief was justified and true, but it's not really knowledge, is it?

This kicked off what philosophers love to call "Gettier problems," and we're still arguing about them today.

How Do Beliefs Get Justified Anyway?

When you justify a belief, what are you basing it on? Another belief. But what justifies that belief? Another one. See where this goes?

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Foundationalism

There are rock-bottom beliefs that don't need justification from other beliefs—they're self-evident or immediately obvious. Think of it like a building: you need a foundation that doesn't rest on anything else.

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Coherentism

Beliefs justify each other by fitting together in a coherent web. A belief is justified if it meshes well with your other beliefs, creating a mutually supporting network.

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Infinitism

Justification requires an infinite chain of reasons. Each belief is supported by another, forever. How can our finite brains handle infinite chains? Good question.

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Internalism vs. Externalism

Does justification depend only on stuff inside your mind, or can external factors matter too? Internalists say you should be able to figure it out through introspection alone.

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Reliabilism

A major externalist theory: your belief is justified if it comes from a reliable process, period. Your eyes work reliably? Then beliefs from vision are justified.

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Virtue Epistemology

What makes a good knower? Focuses on intellectual virtues as reliable cognitive abilities—good vision, solid memory, logical reasoning—or character traits like being open-minded.

Different Types of Knowing

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Propositional Knowledge

Knowing that something is true: Paris is France's capital, water freezes at 0°C, cats are mammals. Facts you can state.

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Procedural Knowledge

Knowing how to do something: ride a bike, play guitar, make an omelet. You might not be able to explain exactly how you balance on a bicycle, but you can do it.

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Knowledge by Acquaintance

Direct familiarity—knowing a person, a place, a sensation. Knowing Paris by visiting it versus knowing about Paris from reading descriptions.

Why This Matters to You

Epistemology in the Digital Age

Every time you reset a password, you're dealing with epistemology. The system needs to know you're you. But how? Usually by checking a password—which is exactly what you forgot. So they send a code to your email or phone, but then they're trusting that whoever controls that email or phone is really you. It's epistemological turtles all the way down.

When you see that little lock icon showing a website is secure, you're trusting SSL certificates. But how do you know the certificate itself is legit? You're trusting a certificate authority. How do you know they're trustworthy? These are genuine epistemological puzzles with real-world consequences.

Information Warfare and Truth

The information environment we're swimming in right now is epistemologically treacherous. Algorithms don't optimize for truth—they optimize for engagement. Social media platforms create bubbles that distort your view through selection effects. AI systems confidently deliver information with no mechanism for you to check whether they're hallucinating.

"Just Google it" has become our default epistemological move, but what does it mean to outsource knowledge to search engines and AI?

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In Law

Epistemology shapes everything from standards of proof ("beyond reasonable doubt") to witness credibility and evaluation of evidence.

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In Medicine

It affects how we evaluate symptoms, trust patient testimony, and assess clinical evidence. How do we know a treatment works?

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In Education

It influences how we teach students to evaluate sources and construct knowledge. What makes a source credible?

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In Science

How do we know scientific claims are reliable? What's the epistemology of peer review and reproducibility?

The Social Side: Who Gets to Know?

Knowledge is Social

Traditional epistemology focused on individual knowers sitting alone with their thoughts. But knowledge is social. Social epistemology examines how communities create and share knowledge. How does testimony work? What happens when experts disagree? How do institutions shape what counts as knowledge?

Feminist epistemology pushed this further by asking: whose knowledge gets taken seriously? Power matters. Gender matters. Race matters.

Epistemic Injustice

This leads to the concept of epistemic injustice—wrongs done to people specifically as knowers.

Testimonial injustice happens when someone's testimony gets dismissed because of prejudice about their social identity. Think about how often women's medical symptoms aren't believed, or how communities of color have their experiences doubted.

Hermeneutical injustice occurs when marginalized groups lack the conceptual tools to understand their own experiences because the dominant culture hasn't developed those concepts.

Where We're At

Epistemology isn't some dusty academic subject disconnected from reality. It's the toolkit for thinking clearly about what we can know, how we can know it, and when we should hold back judgment.

The field keeps evolving. Contemporary epistemologists draw from psychology, sociology, cognitive science, and computer science. We're thinking about algorithmic bias, machine learning, the epistemology of social media, and how emerging technologies change what it means to know something.

The questions Plato asked 2,400 years ago haven't gone away. They've just gotten more urgent. In a world drowning in information but starving for wisdom, understanding how we know what we know isn't optional—it's essential.

"What counts as knowledge? How do we justify our beliefs? When should we trust our sources? These aren't abstract philosophical puzzles. They're the questions you answer every day, whether you realize it or not. Epistemology just helps you do it better."

About the Authors

Expertise in Knowledge & Innovation

This exploration of epistemology was written by Ken Mendoza and Toni Bailey, co-founders of Oregon Coast AI, who bring unique perspectives on knowledge, understanding, and innovation from both technical and lived experience.

Ken Mendoza

Ken Mendoza brings a rare combination of philosophical depth and technical precision to discussions of epistemology. As AI Systems Architect and co-founder of Oregon Coast AI, Ken's 25+ years of technology innovation spans revolutionary advances in proteomics (where he's named inventor on five patents), bioinformatics, and AI systems architecture. His work has consistently operated at the intersection of scientific rigor and practical application—most notably contributing to the successful NASDAQ IPO of Digital Lava Inc.

Ken's approach to epistemology isn't purely academic—it's rooted in examining how scientific paradigms shift and how we come to accept new ways of knowing. His paper "Epistemological Evolution of Immunological Theory" analyzes the philosophical and mechanistic reorientation from self/non-self recognition to Polly Matzinger's Danger Theory, demonstrating how our epistemological frameworks fundamentally shape what questions we ask and what answers we accept. This research directly informed his development of The Danger Theory Platform, which translates these epistemological insights into practical AI-powered healthcare tools. His work "First Beer, First Principles" takes this further, using a thought experiment between Richard Feynman and Richard Dawkins to show how first-principles thinking can reveal truths that academic inertia has obscured—essentially asking: if something can be derived from basic physics and evolutionary logic over a single beer, why did it take decades for the scientific community to accept it? This pan-technologist perspective—connecting insights across computer vision, biomedical science, and AI systems—enables him to see epistemological patterns and possibilities where others might miss the connections.

Toni Bailey

Toni Bailey co-founded Oregon Coast AI with a unique lens on knowledge and decision-making, drawn from her background as a U.S. Coast Guard licensed Master Captain (100 GRT) and UI/UX design expert. Toni's maritime experience commanding vessels under pressure developed her ability to assess information reliability in high-stakes environments—an inherently epistemological skill. Her work focuses on making complex AI systems accessible and intuitive, ensuring that advanced knowledge tools actually serve users rather than confuse them.

Toni's expertise extends beyond technology into lived experience with chronic autoimmune disease—a 30+ year journey that fundamentally shapes her understanding of how knowledge is created, validated, and shared in healthcare contexts. Through her platforms My Autoimmune Journey and Autoimmune Hub, she bridges the epistemological gap between clinical research and patient reality. Her work addresses a critical question in medical epistemology: whose knowledge counts? Clinical trials and peer-reviewed studies represent one form of knowing, but the daily lived experience of managing chronic illness constitutes another equally valid epistemological framework. Toni's weekly blog posts don't just share information—they demonstrate how patients construct knowledge through pattern recognition, symptom tracking, and community wisdom. Her platforms serve thousands of readers seeking both evidence-based health information and the hard-won practical knowledge that only comes from three decades of navigating an immune system that attacks itself.

Oregon Coast AI

Together, Ken and Toni founded Oregon Coast AI after leaving Silicon Valley for Newport, Oregon—a decision that reflects their commitment to human-centered innovation over purely technical achievement. Their development of MedAdvocate App demonstrates epistemological principles in action: how do patients know what's happening with their health? How can AI systems help people make sense of complex medical information without overwhelming them? These aren't just design questions—they're fundamentally about how knowledge gets created, validated, and shared. This dual perspective—combining rigorous research with authentic lived experience—makes them uniquely qualified to explore how we know what we know, particularly in contexts where traditional epistemological frameworks have historically excluded or minimized patient voices.

"Oregon Coast AI operates from Newport, Oregon, where the founders' daily proximity to the Pacific's patterns and rhythms informs their approach to understanding systems, knowledge, and innovation."