Reason: Argument, and the Mechanisms of Thought
I return to the theme of arguments as attempts to persuade by way of story telling, with the insight that there is no real difference between the mechanisms of thought for argument and regular talk.
Author’s Preface
This essay challenges an age old academic belief that suggests that argumentation involves specialized deductive and inductive mental mechanisms distinct from those used in ordinary thought. Formal systems such as deductive logic have been historically elevated as paradigms of rationality, yet their real-world applicability is marginal. What is called “argument” is not a privileged form of cognition but a mode of storytelling governed by purpose and persuasion. This essay critiques formal logic’s role in reasoning and argues for a conception of argument as narrative construction using ordinary cognitive tools.
Introduction
This essay examines the nature of argumentation by rejecting an older and conventional view that it involves specialized forms of reasoning distinct from everyday thought. Despite centuries of emphasis on formal logic as the paradigm of rationality, most human reasoning does not conform to deductive structures. It operates through narrative, interpretation, and context-sensitive judgment. The structure of real-world discourse—be it explanation, justification, or persuasion—is not logical in the formal sense but patterned, provisional, and deeply embedded in the practical task of making sense of the world.
Argument is not a separate mental activity. It is simply one mode of storytelling, often with the intent to persuade or clarify, using the same cognitive tools employed in ordinary conversation. Assertions in argument are not systematically ordered as premises and conclusions; they are drawn from a mixed set of beliefs, observations, analogies, and background assumptions. These elements are shaped by the speaker’s worldview, and evaluated by the listener according to their own. Claims of logical superiority, appeals to evidence, or assertions of truth are all filtered through this dynamic exchange.
This inquiry critiques the misplaced confidence in formalism and highlights the interpretive, heuristic, and narrative character of real-world reasoning. It explores how coherence, plausibility, and congruence function as practical stand-ins for formal truth, and how even successful reasoning must operate within the constraints of limited access to objective reality. The essay proceeds by clarifying the roles of storytelling, evidence, congruence, interpretation, and the limits of abstraction in ordinary human understanding.
This might appear obvious to most, but for one steeped in formalist traditions, it was not apparent.
Discussion
Argument as Intentional Storytelling
An argument is often defined by its goal: to persuade, justify, or resolve disagreement. But if the surface structure of an argument is stripped away—removing markers like “therefore,” “because,” or “however”—what remains is a sequence of ideas organized around a theme. It tells a story. The content may vary from policy to ethics, science to opinion, but the architecture is narrative: it involves events, causes, consequences, or evaluations, all embedded in language that evokes coherence.
The difference between argument and other types of storytelling is not structural but intentional. An explanation seeks to inform; a prediction seeks to anticipate; a story may seek to entertain or reflect. An argument seeks to persuade. But the structure of the thought—how concepts are linked, how language is used to imply causation, significance, and coherence—is the same.
The Misconception of Special Mechanisms
Historically there seems to have been a millennia old belief that argumentation, particularly in its formal manifestations, engages a unique form of reasoning. There was an argument that logic lived in some reified realm later termed Platonic. There are still echoes of that view found in current scholarship. Philosophical traditions often isolate deductive logic as a model for rational thought, implying a kind of elite cognition. However, real-world argument rarely follows syllogistic or propositional rules. Instead, it moves associatively, metaphorically, and recursively—just like any conversation or narrative reflection. The human mind does not naturally reason in formulas; it reasons in patterns, analogies, images, and sequences of meaning, all grounded in lived experience and language.
Cognitive science provides little evidence that people engage separate neural processes when making arguments as opposed to telling stories or explaining situations. The same brain systems for language, memory, association, and prediction are active across all these domains. Even internal deliberation—“arguing with oneself”—consists of imagined dialogues or narrative rehearsals.
Conversational Forms as the Substrate of Argument
In ordinary discourse, people assert, explain, describe, predict, evaluate, and more often than not, disagree. These actions form the raw material of argumentation. An argument does not emerge from a special faculty but from a framing shift: the speaker (or writer) emphasizes justification, evidence, and persuasion. Still, the tools used are the same as in everyday speech: metaphor, analogy, causal linking, emphasis, and rhetorical positioning.
For example, saying “That storm blew my shed over because the wind was unusually strong” is an explanatory utterance. Saying “We should reinforce our sheds because strong winds are becoming more common” becomes an argument. But the transition is not due to a different thought mechanism—it’s due to a change in purpose.
Argument as Self-Persuasion and Reflective Discourse
Argument is not only interpersonal. Often, it is intrapersonal: a person attempts to persuade themselves. Internal deliberation over moral dilemmas, practical choices, or emotional decisions does not invoke formal logic but unfolds in the same narrative mode. People reflect by rehearsing stories, imagining outcomes, constructing comparisons, and re-evaluating meanings. The mechanisms at work—memory retrieval, imagination, emotional framing—are the same as those used in external conversation.
This is why persuasive power often resides in framing, emphasis, and narrative coherence rather than formal rigor. The human mind finds coherence more compelling than consistency, and a well-told story often trumps a logically airtight but emotionally barren argument.
The Role of Formal Systems
Formal logic and structured rhetoric do provide tools for evaluating and refining arguments. They allow claims to be assessed for consistency, assumptions to be made explicit, and fallacies to be identified. However, these systems are external overlays, not internal engines. They depend for their truth on the soundness of the premises, and such soundness is only determined through everyday reasoning. They serve as aids for critique and clarification but do not transform the underlying cognitive architecture. Formal logic is not how thought proceeds; it is how thought can be reconstructed and evaluated after the fact.
This explains why even well-educated individuals often fail to notice contradictions in their beliefs unless prompted. The brain is not optimized for deductive consistency but for narrative fluency and pragmatic coherence. Argument, then, is a reflective activity built upon natural modes of thought—not a separate system of cognition.
Argumentation employs no special mechanisms of thought beyond those used in any other form of language-driven cognition. What distinguishes argument is not how thought operates, but why it is deployed. Argument is storytelling with the intent to persuade, structured by the same cognitive and linguistic tools that shape all discourse. Recognizing this continuity clarifies why persuasion often succeeds through narrative, metaphor, and emotional resonance rather than formal rigor. It also dissolves the mystique of argument as a uniquely rational faculty, revealing it as one more function of the narrative mind.
The Limits and Reach of Everyday Reasoning
It is silly to suggest that all reasoning is futile or groundless. In many areas of everyday life, obviously, reasoning is both functional and dependable. People regularly make accurate predictions, identify causal patterns, and detect regularities in the world that hold across time and context. These successes are not rare; they are the foundation of ordinary activity. The ability to prepare food, maintain machinery, navigate environments, or coordinate with others all depend on practical reasoning grounded in observable feedback and repeatable outcomes.
Such reliability is possible because the physical and social world, in many domains, exhibits enough regularity to allow for successful generalization. People are often able to reason effectively when they receive prompt feedback, deal with concrete details, and work within familiar systems. These are conditions under which belief can be compared against outcomes, refined through experience, and confirmed by repetition. The congruence between thought and world, though never perfect, is strong enough to support functioning and improvement.
However, the strength of reasoning in these familiar, structured contexts does not translate seamlessly into all domains. As discourse moves from the concrete into the abstract—into ethics, aesthetics, ideology, metaphysics, or speculation—its footing becomes less stable. In these realms, evidence is harder to pin down, causal links are indirect or contested, and feedback is often delayed or absent. Reasoning becomes entangled with assumptions that may go unexamined, and conclusions can no longer be easily tested against observable reality.
In the domain of values, reasoning may exhibit internal consistency, but that consistency often rests on a framework of normative assumptions that differ across individuals and cultures. One ethical view may be coherent on its own terms but completely incompatible with another, equally coherent view. In such cases, arguments rarely resolve disputes; instead, they clarify the structure of disagreement. The same applies in political or legal debates, where shared facts often coexist with diverging interpretations and underlying commitments.
The situation worsens when reasoning extends into highly abstract or speculative territory. Here, language becomes increasingly detached from physical referents, and it is possible to construct elaborate systems of thought that hang together logically but have no anchoring in the observable world. These may be internally sound but externally hollow—coherent in expression but disconnected from empirical constraint. The mere fact that an argument is logically valid does not guarantee that it refers meaningfully to anything real.
Further complications arise in contexts where outcomes are classified as "random"—that is, where causal mechanisms are opaque or untraceable. Randomness in this sense does not imply the absence of cause, only the absence of detectable cause. In such cases, patterns may be observed retrospectively, but predictive reasoning becomes unreliable. Judgments made under these conditions are often speculative and prone to overinterpretation. The apparent structure may dissolve upon closer inspection, revealing assumptions mistaken for evidence.
A persistent cognitive error is the tendency to assume that because reasoning is successful in structured, feedback-rich environments, it must also be trustworthy in abstract or ambiguous domains. This extrapolation overlooks the differing constraints across contexts. In concrete domains, reasoning benefits from empirical validation; in abstract ones, it may drift unchecked. The result can be overconfidence, misapplication of concepts, and the illusion of understanding where none exists.
This is not an argument against reasoning itself, but a call for awareness of its scope and limitations. Reasoning is indispensable, but it must be context-sensitive. Its success depends not on formal elegance alone, but on tethering to reality—on the fit between story and world, and the conditions under which that fit can be tested. To reason well is not only to construct coherent claims, but to remain aware of where coherence ceases to be a reliable guide.
The Arbitrary Distinction Between Argument and Conversation
The common separation between “argument” and “conversation” presumes a sharp conceptual boundary that does not withstand scrutiny. Both involve the same linguistic behaviors: assertions, elaborations, clarifications, conclusions, and predictions. Both involve narrative framing, interpretation of context, and implicit appeals to coherence. The only substantial difference lies in perceived intent—specifically, whether the speaker is actively trying to persuade.
But even this difference is more a matter of degree than kind. Everyday discourse frequently contains implicit persuasion. When people recount a memory, describe an event, or offer an opinion, they often intend for others to agree, to accept, or at least to understand their perspective. The goal may not be overt persuasion, but it is still communicative alignment. People want their stories to be believed. They want their descriptions to be accepted as accurate or credible. In this sense, even casual conversation operates within a framework of rhetorical appeal, however muted.
To call only certain forms of this activity “argument” is to draw an artificial line across a continuous spectrum of discourse. There is no distinct psychological faculty engaged when one “argues” as opposed to when one “explains,” “describes,” or “shares.” These are all narrative acts performed using the same underlying cognitive machinery.
Furthermore, deceptive speech—where a speaker knowingly misleads or says what they do not believe—does not engage a different reasoning structure, but rather layers narrative construction with intent management. The same mechanisms are employed, only redirected toward concealment or manipulation rather than transparency. This underscores the continuity of cognitive operations across contexts labeled as “honest conversation,” “argument,” or “deception.” The difference lies in aims, not methods.
The upshot is this: the concept of “argument” as something categorically different from other linguistic exchanges rests on a conceptual fiction. It is a labeling convention, not a reflection of distinct mental operations. All discourse involves storytelling. Some of it seeks agreement, some seeks expression, some seeks alignment. But all of it uses the same basic ingredients—language, memory, patterning, emphasis, and audience attunement. Argument, then, is simply a marked case of storytelling with stronger persuasive intent.
Evaluating Argument Is No Different Than Evaluating Any Discourse
The tools used to assess arguments—plausibility, coherence, consistency, relevance—are not epistemologically unique. They are not exclusive to logic, formal systems, or structured debate. Instead, they are the same interpretive tools used in evaluating any spoken or written statement. Whether assessing a friend’s account of a vacation, a journalist’s narrative of an event, or a philosopher’s defense of a theory, the listener or reader draws upon prior experience, background knowledge, linguistic cues, and a sense of plausibility grounded in their own evolving worldview.
When engaging with argument, people do not switch into a special evaluative mode. They do not consult formal logic tables or symbolic systems. Instead, they ask ordinary questions: Does this make sense? Does it fit with what I already know? Is it supported by examples I find compelling? Does it seem like an honest account? This process is inherently pragmatic and interpretive.
Moreover, understanding is not static. As discourse unfolds, a listener's beliefs may shift, not because they have been “logically compelled,” but because they have encountered a new narrative that better fits the available evidence or opens up a more coherent framing. This is true whether the discourse is labeled a “formal argument,” a conversation, a personal essay, or a speculative editorial. All discourse is evaluated with the same mental instruments.
What may differ slightly between argument and dialogue is the flow of information. Argument, especially in its monologic form, is often presented as a one-sided case. In contrast, everyday discourse is dialogue—interactive, recursive, and responsive. Yet even here the distinction dissolves upon closer inspection. Magazine articles, academic essays, and online forums all reflect extended conversations. They include embedded rebuttals, restatements, paraphrases, and confirmations—tools traditionally associated with spoken dialogue. Written discourse, when it takes argumentative form, often anticipates counterarguments, incorporates imagined readers, and structures itself as a response within a broader conversation.
In this sense, even so-called “formal argument” is embedded within a discursive ecology. It is never truly isolated or purely deductive. It is storytelling across time, across voices, across mediums. Agreement, rebuttal, elaboration, and critique are all forms of continued narration. Argument is not a special form of human expression; it is a marked moment in the ongoing fabric of collective storytelling.
Discourse as Narrative Exchange, Not Logical Structure
The evaluation of argument does not rely on privileged standards of knowledge and truth. The same methods applied to assess the credibility of ordinary discourse—observational fit, internal consistency, contextual plausibility—are applied to argument. There is no qualitative difference in the mental operations used. The boundary between “argument” and “conversation” is again revealed as artificial. Both are forms of storytelling evaluated within a shared interpretive framework.
Discourse—whether spoken or written—functions as a layered, interactive exchange. The receiver brings prior knowledge, expectations, and experience to bear on the message, interpreting it through the lens of plausibility and coherence. This interpretive act is dynamic; it allows beliefs to shift and narratives to update. Importantly, this is not accomplished by applying deductive rules or formal systems, but through recognition of pattern, resonance with experience, and the perceived credibility of the speaker or source.
The idea that “argument” is a one-sided, logic-driven monologue dissolves upon contact with real-world discourse. Even when no direct response is given, arguments are placed into a stream of ongoing narrative: readers compare them to prior stories, interpret them as responses to implied positions, or formulate internal objections. What results is a conversational thread, whether it appears in dialogic form or not.
Written discourse replicates these structures: academic papers include literature reviews, counterexamples, restated positions. Essays engage other voices through paraphrase, critique, and elaboration. Online forums layer argument upon rebuttal upon clarification, tracing conversational arcs over time. The mechanisms remain constant—reframing, storytelling, alignment or resistance—not formal derivation.
Each utterance, each paragraph, each published piece exists within a context of reception, interpretation, and response. The tools employed—explanation, clarification, analogy, example—are consistent across all modes of communication. The notion that argument is a fundamentally distinct activity collapses in light of this shared narrative infrastructure. Argument is simply storytelling with an overlay of justification, unfolding within the same mental architecture as all human exchange.
The Pragmatist’s World: Reality Independent, Understanding Mediated
Within a pragmatist framework, the world exists independently of human perception, cognition, or language. There are objects, events, regularities, and causal interactions that unfold regardless of whether they are observed or understood. However, the access to that world is fundamentally mediated through fallible, interpretive processes. Thought and language do not mirror the world—they approximate, distort, and condense it.
Human understanding, whether through direct sensory experience or symbolic representation, is inherently limited. Non-linguistic cognition—pattern recognition, sensory integration, spatial inference—offers only a partial grasp of the environment. Linguistic representation compounds the abstraction. Language reduces the infinite complexity of the world into discrete terms, categories, and propositions. Every noun is a generalization, every verb a simplification of process, every sentence a collapsed model of reality.
These abstractions introduce boundaries where none may exist. Categories blur at the edges. Terms imply distinctions that are often fuzzy, contingent, or context-dependent. The act of naming something creates the illusion of clarity, but in doing so, it also excludes and distorts. “Tree,” “justice,” “truth,” or “reason” are not fixed entities—they are heuristic devices, ways of navigating the world that work well enough for some purposes, but not others.
From this perspective, argument—like all discourse—is doubly constrained: first by the imprecision of human understanding, and second by the limitations of language as a representational medium. No argument, however structured, can escape this entanglement. Even the most careful reasoning is built on approximations and symbolic proxies for a world that resists full articulation.
Thus, what is often taken as rigor in argument—clarity of structure, formal consistency, terminological precision—is a kind of illusion. It creates local coherence but does not guarantee correspondence with the world. The apparent sharpness of formal systems is a byproduct of their self-enclosed definitions, not a reflection of external truth.
In practice, then, every argument is a compressed, imperfect story about the world. Its success lies not in its fidelity to an objective structure of reason, but in its utility—its ability to orient understanding, guide action, and withstand critical engagement. From a pragmatist standpoint, arguments are not justified by reference to abstract rational forms but by their capacity to work in context, to adapt, to revise, and to fit within an evolving, imperfect grasp of reality.
Evidence as a Relational Construct in Discourse
In discourse that is not overtly fictional or transparently deceptive, the interpretive focus turns to the status of the claims: Are they true? Are they misleading? Do they align with what is already known or plausibly inferred? This process of evaluation relies not on direct access to facts, but on the invocation of evidence. Yet evidence is not a self-contained object. It is not autonomous, nor self-interpreting. Evidence is a relational construct—its meaning and relevance depend entirely on its connection to human understanding, intention, and interpretive context.
To treat evidence as a free-floating or neutral substrate is to ignore its embeddedness in cognition and language. What counts as evidence depends on the current state of knowledge, the assumptions brought to bear, the framing of the question, and the goals of inquiry. The same datum may serve as compelling support in one context and irrelevant noise in another, depending on what is being asked, who is asking, and for what purpose.
This interpretive structure requires an active cognitive process. When engaged in storytelling or argumentative discourse, individuals evaluate evidence by mapping it onto an internal model of the world. That model, however, is not a perfect mirror—it is a working approximation, itself shaped by experience, education, cultural influence, and conceptual framing. Thus, when a claim is offered and “evidence” presented in support, the assessment involves triangulating among (1) the claim, (2) the offered support, and (3) the interpreter’s current worldview.
Furthermore, the role of purpose cannot be detached from this process. Evidence serves ends: to explain, to convince, to justify, to explore. The selection and interpretation of evidence is shaped by these ends. A fact that is illuminating in a forensic context may be trivial in a scientific one. A pattern that is persuasive in a political speech may be disregarded in an academic setting. The epistemic function of evidence cannot be disentangled from the pragmatic goals of the discourse in which it appears.
This has direct implications for argument. An argument cannot be evaluated by looking at its structure alone; its force depends on how the audience processes the evidentiary claims in light of their own understanding, priorities, and context. What “follows” logically may not persuade. What persuades may not be logically tight. The function of evidence is not to compel belief in the abstract, but to fit into a broader cognitive and pragmatic framework.
In this light, discourse becomes an interaction not just of statements but of interpretive models. The speaker offers a narrative. The listener tests it against what is already known or assumed. Evidence becomes meaningful only through this relational interaction. It is not the residue of truth but a contingent participant in the dance of understanding.
Objective Reality, Storytelling, and the Limits of Verification
A common objection to the view of all discourse as storytelling is that it appears to neglect the distinction between true and false accounts. It may seem to collapse all forms of explanation, argument, and narrative into a domain of mere persuasion, devoid of reference to the world as it actually exists. Yet such a critique misunderstands the claim. The assertion is not that stories are divorced from the world, but that our access to the world—and our capacity to verify that access—is inherently mediated, partial, and fragile.
Some stories are better than others—better in the sense that they correspond more closely to observable features of the world, better in the sense that they reliably predict outcomes, better in the sense that they cohere with a wide range of other successful explanations. These are not mere preferences. They are reflections of attempts to anchor our discourse in what is broadly taken to be objective reality. But the effort to assess whether a story is congruent with the world is rarely straightforward.
Verification becomes particularly difficult when the subject matter is remote in time or space, filtered through layers of interpretation, or embedded in systems of uncertainty. Second-hand reports, abstract models, and probabilistic claims all carry epistemic weight, but their reliability is harder to judge. The mechanisms by which such information is gathered, interpreted, and conveyed introduce layers of potential distortion. The more abstract or inferential the domain—climate projections, macroeconomics, evolutionary psychology—the more difficult it becomes to trace assertions back to directly verifiable observations.
This is not a claim of epistemic relativism but of epistemic humility. The world exists, but understanding it is hard. The human nervous system, language faculty, and cultural inheritance all impose constraints. These constraints do not preclude understanding, but they do condition it. What results are approximations: provisional models, imperfect generalizations, and interpretations shaped by context and cognitive bias.
To navigate this, individuals and communities rely on heuristics—informal principles that guide belief formation and evaluation. These include:
Coherence: Does the story fit with what is already believed or known?
Simplicity: Does it require fewer assumptions than alternatives?
Predictive power: Does it successfully anticipate what comes next?
Corroboration: Is it independently supported by other sources?
Pragmatic utility: Does it work for the purposes at hand?
These principles are not infallible. They are derived from practical experience, not metaphysical certainty. They mostly succeed in familiar, concrete domains but often break down in abstract or value-laden contexts. In those domains—moral reasoning, legal theory, political views—stories are built not on observable facts alone, but on layered interpretations of norms, goals, and ideals. The terms shift from “true” or “false” to “good” or “bad,” “fair” or “unfair.” Here, persuasion does not rest on empirical fit but on shared assumptions and rhetorical alignment.
In such realms, the potential for failure is high. Disagreements persist not because one side has erred logically, but because the foundations differ—what is valued, what is prioritized, what is feared. These are not objective variables to be measured but interpretive stances that shape the entire discursive field. When discourse in these domains fails, it is not due to an error in storytelling mechanics, but a divergence in the frameworks through which stories are understood.
Thus, while it is possible to tell stories that are approximately correct with respect to objective features of the world, doing so is always constrained by human limitations. The claim that discourse is storytelling does not deny the possibility of truth—it denies the transparency of truth. Truth must be approached, not assumed; interpreted, not unveiled. Storytelling is the means by which that approach is undertaken. Its success depends not on formal structure, but on how well it negotiates between the world and the mind trying to make sense of it.
Thinking, Congruence, and the Mystery of Expression
In the act of evaluating thought—our own or that of others—the primary standard applied is congruence: does the thought align with what is already understood, believed, or assumed about the world? This understanding, often referred to as a worldview, comprises not only factual beliefs but emotional dispositions, experiential memory, cultural framing, and personal biases. It is the total cognitive landscape against which new ideas are judged.
This is not merely a rational process. Beliefs are entangled with emotional responses, social identity, and bias. Even the perception of a new idea as “plausible” or “reasonable” is shaped by the interpretive lens of prior understanding. All assessment of coherence, fit, or contradiction occurs within this internalized worldview. There is no external vantage point from which to judge without mediation.
Thought, in its raw form, is not always clearly structured. It may appear as image, impulse, pre-linguistic sensation, fragmentary association, or vague intuition. And yet, humans possess the remarkable ability to render these inner movements into external forms: into gesture, into spoken language, into written script, into mathematical notation, into music or art or action. These expressions are not the thought itself, but representations—translations across media.
This translation, however, is not well understood. That thought can be rendered into symbols—whether natural language, formal logic, or embodied performance—is a brute fact of human cognition, but not one that is fully explainable. No theory yet accounts in detail for how a non-linguistic state is shaped into a coherent utterance, how a fleeting intuition is converted into structured argument, how an internal conflict is turned into a visible act. Cognitive science offers correlational models and speculative architectures, but no mechanistic explanation.
To dismiss this as unproblematic is to fail to appreciate the depth of the mystery. That thought arises at all, and that it can be externalized in communicable form, is one of the most profound features of human experience. The operation is so familiar, so habitual, that it often escapes scrutiny. But close reflection reveals its opacity. Thought emerges; it moves; it can be captured—but how this capture occurs remains fundamentally obscure.
This obscurity is not merely a technical gap in neuroscience or psychology. It reflects a deeper epistemic problem: the inaccessibility of the generative process itself. One can observe the outputs of thought—language, action, symbolic form—but the transition from mental state to external representation is not directly available to introspection or third-person analysis. The mind, in this respect, is both source and mystery.
Thus, while thinking can be evaluated, expressed, and critiqued, its generation and transformation into communicable form remains unexplained. The mystery is not that thought exists, but that it can be spoken. That gap—the unexplained movement from internal to external—marks the boundary of current understanding. To ignore it is not sophistication, but failure of reflection.
Congruence as Pragmatic Correspondence
To speak of congruence with the world is to invoke a standard that aims toward correctness or truth, but not in the rigid sense defined by formal logic or deductive truth. Congruence, in this context, signals a broader, more flexible form of alignment—an effort to determine whether a claim, story, or assertion fits within the structure of what is currently understood to be real, plausible, or supportable. It is a correspondence model, but one that acknowledges its own contingency.
When something is said to be congruent with the world, it does not mean that it has been proven deductively from axiomatic truths. It means, rather, that it appears to cohere with one’s current model of the world. That model is built from experience, instruction, memory, reflection, and exposure to cultural and scientific narratives. It is not fixed. It is revisable. But at any given moment, it provides the framework within which assessments of truth, plausibility, and relevance are made.
Congruence, then, is relational. It refers not to an absolute match between language and reality, but to an ongoing fit between assertions and one’s evolving understanding. This understanding may itself be corrected, expanded, or overturned—but in each case, the same heuristic process is at work: a search for alignment between what is said and what is believed to be the case.
There are practical methods for assessing this fit. Individuals consult additional sources, check for corroborating testimony, evaluate internal consistency, and look for signs of credibility in speakers and texts. Each of these operations is fallible, yet all are necessary. They reflect the practical epistemology of everyday reasoning—the work of trying to match words to the world without any direct access to the world apart from mediation.
This is not an abandonment of truth but an acknowledgment of its indirect accessibility. Statements are judged as correct or plausible not by appealing to a metaphysical essence of truth, but by evaluating their place within a provisional and revisable framework. This is why congruence cannot be defined independently of belief, perception, and interpretation. Truth, correctness, plausibility—all depend on some reference to a world outside the mind, but all are filtered through the limitations of the mind’s grasp.
In this light, congruence becomes a practical proxy for truth. It is not truth as such, but the best approximation available within current conditions. As understanding develops—through further inquiry, deeper scrutiny, or exposure to competing accounts—what once seemed congruent may appear false, and what seemed implausible may come to seem true. The test is iterative, never final. But the impulse to seek congruence remains constant: to ask, Does this fit? Can I believe this? Is this how the world works?
Such questions do not resolve into certainty, but they orient thought toward the world, however imperfectly. They keep language tethered to reality, and reasoning accountable to evidence, even if that evidence is fragmentary and its interpretation provisional. This is the work of thinking. It is not algorithmic. It is adaptive, comparative, and interpretive. And it rests, always, on the pursuit of congruence—not as a guarantee, but as a guiding aim.
Testing for Inconsistency with Evidence
In everyday discourse, the phrase “consistent with the evidence” is often invoked as a way to endorse a claim without affirming its absolute truth. Yet in practice, it is often easier to evaluate inconsistency than to affirm consistency. Evidence rarely compels belief, but it can disqualify assertions that conflict with well-established facts, principles, or expectations. Pragmatically, it is easier to identify what cannot be true than to definitively establish what must be.
This asymmetry reflects a central feature of reasoning: the falsifying function of evidence is often more immediate than its confirming power. The following five methods serve as practical heuristics for identifying inconsistency—markers that a statement is at odds with either internal logic or external reality.
1. Internal Contradiction
A claim that refutes itself or contains incompatible parts fails the basic coherence test. For example, a speaker who says “No one can make a generalization” has contradicted themselves in the act of speaking. Such contradictions do not require empirical testing; they collapse under the weight of their own structure. When different components of a story cancel each other out, the story loses explanatory viability. Philosophers call these arguments which defeat themselves.
2. Formal or Informal Fallacy
Though formal logic is almost never used in everyday thought, certain patterns of reasoning are broadly recognized as faulty. These include common informal fallacies such as ad hominem attacks, circular reasoning, false dichotomies, and appeals to ignorance. When these structures appear, they signal a failure not of the conclusion per se, but of the route by which it is reached. The argument does not collapse because the conclusion is false, but because the method of argumentation is invalid by general standards of coherence and fairness.
3. Contradiction with Known Physical Reality
Certain assertions can be ruled out because they violate well-established features of the physical world. Claims that the sun failed to rise yesterday, that someone survived three hours underwater without equipment, or that a household battery powered an office building for a week all conflict with well-established physical and biological constraints. These assessments do not depend on high precision. Even general knowledge suffices to dismiss such claims as inconsistent with basic empirical understanding.
4. Implausibility
Some claims resist formal falsification but strain credibility when examined under basic scrutiny. Back-of-the-envelope reasoning—rough approximations, basic comparisons, intuitive calculations—can often reveal internal tension or scale problems. For example, a claim that a small town library received ten million visitors last year fails not because it’s logically impossible, but because it fails basic plausibility checks. It is a judgment about proportion, scale, and likelihood, grounded in informal estimation.
5. Established Falsity Through Repeated Refutation
In cases where multiple credible sources repeatedly contradict a claim, and no substantial rebuttal is forthcoming, the claim may reasonably be rejected as false. This form of assessment depends on credibility judgments—trust in institutions, expertise, or evidence chains. It is not infallible, but it functions as a practical threshold: if the bulk of well-supported information contradicts a statement, and no plausible defense survives scrutiny, then the statement can be provisionally rejected.
These five tests are not mutually exclusive and are often employed in combination. They serve not to deliver certainty but to eliminate untenable assertions. They allow the thinker to narrow the field of possibility, flag suspicious claims, and move toward more coherent and stable understanding. Importantly, these tools are not the product of formal theory but of practical epistemology—adaptive strategies for navigating discourse in the presence of uncertainty, distortion, and partial knowledge. They are storytelling filters, not truth machines. Their role is not to produce final answers, but to help maintain orientation in the interpretive process.
The Use of “Logical” in Everyday Discourse
It is common in everyday conversation to hear someone assert that their position is “logical” and that others are “illogical.” This claim is often made with rhetorical force, suggesting that one’s conclusions follow necessarily from reason, evidence, or common sense. But the use of the term logical in such contexts is frequently superficial or confused. It is unlikely that it refers to the constrained formalism of deductive logic and instead serves as a proxy for plausibility, internal coherence, or agreement with the speaker’s worldview.
The invocation of logic in real-world discourse masks several complications. First is the interpretive variability of even some simple phenomena. Events, statements, behaviors, and data points are open to multiple readings depending on one’s assumptions, prior beliefs, values, and contextual framing. A statement that seems “logical” to one person may appear misguided, selective, or biased to another—not because the reasoning is necessarily flawed, but because the inputs are differently weighted or differently understood.
Second is the frequent conflation of facts and values. Real-world reasoning rarely proceeds from pure observation. It is always saturated with purposes, goals, judgments, and normative commitments. A person may claim logical superiority while relying on value-laden assumptions about what counts as relevant, significant, or fair. In such cases, the structure of reasoning may be internally consistent, but the basis of the reasoning—the premises, the emphasis, the interpretive filter—is not neutral.
Third is the selective use of evidence. People routinely draw on facts that support their position while ignoring or minimizing those that do not. This is not always malicious; it often results from the limits of attention, memory, and belief. But it undermines the claim that conclusions are “logical” in any rigorous sense. What appears to follow logically often depends on what has been included or excluded, how events have been narrated, and what has been foregrounded or dismissed.
This contrasts sharply with the structure of deductive logic, in which conclusions follow necessarily from clearly stated premises under defined rules. In formal logic, the validity of the conclusion is entirely dependent on the internal consistency of the form. But in everyday discourse, such clarity is absent. There is no stable list of premises. There is no formal conclusion. Instead, there is a sequence of assertions, questions, interpretations, generalizations, and impressions. The entire performance is contextual, dynamic, and often non-linear.
The real-world discursive environment is better understood as episodic storytelling—fragments of narrative presented for varying purposes: to explain, to persuade, to justify, to share, to bond. Only occasionally does this storytelling conform to the strictures of formal reasoning. More often, it involves metaphors, comparisons, illustrative examples, evaluative language, and social cues. To call such performances “logical” is to impose a structure that does not exist.
In practice, when people say “this is logical,” they typically mean this makes sense to me given my assumptions and understanding. The phrase is a claim to coherence, not a demonstration of formal validity. And while that claim may sometimes be warranted—especially in clear, well-supported, and concrete matters—it often conceals ambiguity and subjectivity. Logic, in the real world, is not a system applied to propositions; it is a label applied to stories that feel right.
Understanding discourse in this way prevents misattributing authority to reasoning that is merely familiar, and helps clarify why disagreement so often persists even when all parties claim to be “logical.” They are telling different stories, from different perspectives, using different frames. The task is not to identify who is being logical in the abstract, but to examine the assumptions, evidence, and motives embedded in each narrative—and to recognize that only in rare instances does this process resemble anything like formal deduction.
Summary
Argumentation, far from being a distinct or elevated form of reasoning, is a subset of everyday storytelling shaped by rhetorical aim. The mental operations involved in constructing arguments—framing, analogizing, asserting, and evaluating—are the same as those used in conversation and explanation. The apparent structure of premises and conclusions in formal logic does not reflect how real-world reasoning occurs. Instead, argument is characterized by its embeddedness in context and its reliance on heuristics and narrative coherence.
Evaluating arguments does not involve applying universal rules but assessing congruence with one’s existing model of the world. This model includes beliefs, perceptions, emotions, and biases. Evidence, often treated as neutral and self-evident, is better understood as relational—its meaning and force are functions of interpretation and purpose. Common tests for inconsistency—such as internal contradiction, empirical implausibility, or conflict with physical regularities—serve as practical tools for identifying when claims fall short, but they do not guarantee correctness.
Reasoning is often robust in concrete, feedback-rich domains, where causal structure is stable and observable. However, it becomes fragile in abstract, speculative, or value-laden contexts. Here, internal coherence may persist without external anchoring, allowing for elaborate but epistemically hollow constructions. Overconfidence arises when this difference is overlooked.
Ultimately, reasoning is not algorithmic. It is interpretive, fallible, and adaptive. Its power lies in its pragmatic fit with the world, not in adherence to formal structures. Argumentation is a mode of storytelling under conditions of uncertainty, where the aim is not the discovery of timeless truth, but the provisional alignment of ideas with lived experience and shared understanding.
Suggested Readings
Bruner, J. (1991). Acts of Meaning. Harvard University Press.
Explores how humans use narrative to make sense of experience, including the role of storytelling in explanation and argument.
Gigerenzer, G. (2008). Rationality for Mortals: How People Cope with Uncertainty. Oxford University Press.
Examines how people use heuristics and pattern-based reasoning in everyday decisions, bypassing formal logic.
Lakoff, G. & Johnson, M. (1999). Philosophy in the Flesh. Basic Books.
Challenges the idea of disembodied reason, arguing that all thought—including logic—is grounded in bodily experience and metaphor.
Mercier, H., & Sperber, D. (2017). The Enigma of Reason. Harvard University Press.
Argues that reasoning evolved not for truth-seeking but for social justification and persuasion—an evolutionary view of argument as storytelling.