The following exchange emerged from public discussions concerning the relationship between neurodiversity theory, empiricism, and the philosophy of science. The dialogue explores broader tensions surrounding operationalization, epistemological pluralism, discourse analysis, and the role of classification systems within scientific inquiry. While neurodiversity is often critiqued for lacking singular measurable referents, the exchange illustrates how contemporary neurodiversity scholarship increasingly functions as a critical framework for interrogating how concepts such as “normal,” “disordered,” and “typical” are themselves produced, operationalized, and legitimized across disciplines.
The concept of neurodiversity—the view that variations in neurological functioning constitute natural and valuable forms of human diversity—has gained substantial social and cultural traction but remains scientifically unsubstantiated. From the standpoint of empirical science, neurodiversity fails to meet essential criteria of validity, including operational definition, objectivity, standardization, falsifiability, and predictive power. The term lacks measurable referents: there are no standardized instruments or physiological, behavioral, or psychometric markers that reliably distinguish “neurodiverse” from “neurotypical” individuals. As a result, it offers no means of quantifying what neurodiversity is or how it may be assessed across individuals or populations.
In addition, the neurodiversity paradigm functions effectively as a social philosophy but fails as a scientific framework. Until it is grounded in operationally defined, quantifiable, and falsifiable measures of neurological variation, the concept remains scientifically void, offering rhetorical rather than empirical value in understanding human neurocognitive differences such as those presented by individuals labelled as “having” autism.
Richard Laitinen This critique makes sense if neurodiversity is treated as a discrete scientific variable—but that’s not really what it is.
Neurodiversity functions more as a paradigm than a measurable construct. It doesn’t attempt to define a single, quantifiable entity; it reframes how we understand neurological variation in the first place.
Not all scientifically relevant concepts operate at the level of direct measurement. Many—like intelligence, mental illness, or even race—are historically and socially constructed categories that are operationalized in multiple, contested ways rather than anchored to a single objective marker.
In that sense, the absence of a singular metric doesn’t make neurodiversity scientifically void—it highlights that the boundaries of categories like “neurotypical” and “disordered” are themselves products of interpretation, classification, and power.
From that perspective, neurodiversity is less about replacing empirical science and more about interrogating the assumptions that structure it.
Cole Denisen, PhD Your defense holds if neurodiversity is treated as a philosophical lens—but that does not establish it as a scientific construct.
Science requires constructs to be tied, however imperfectly, to observable and measurable variables. While higher-order categories (e.g., intelligence, mental illness) are indeed complex and historically shaped, they are still operationalized through replicable measurement systems, testable predictions, and converging lines of evidence.
Reframing alone does not confer scientific status. A paradigm can guide inquiry, but without clear operational definitions, it cannot generate falsifiable hypotheses or support cumulative knowledge building.
The absence of a singular metric is not disqualifying—but the absence of coherent measurement boundaries is limiting. When category membership expands or contracts based primarily on interpretive or social criteria, reliability and validity become unstable.
From that perspective, neurodiversity may serve as a useful sociocultural critique, but it operates adjacent to science rather than within its methodological core.
Richard Laitinen It is true that *some* science requires constructs to be tied to observable and measurable variables—and I think this is where practitioners often struggle with the framing.
Neurodiversity emerges from a critical epistemic framework. It is not attempting to function as a discrete, measurable construct, but rather to interrogate how categories like “normal,” “disordered,” and “typical” are produced in the first place.
Fields such as disability studies, crip theory, and queer theory, for example, use approaches like discourse analysis to systematically examine patterns in language, classification, and institutional practice. These are not attempts to avoid rigor, but to align methods with the kinds of questions being asked.
From that perspective, the issue is not whether these approaches are “less scientific,” but that they operate within a different epistemic framework—one that treats knowledge, categories, and even standards of measurement as objects of inquiry rather than neutral foundations.
Cole Denisen, PhD It is true that all, not “some”, science ultimately requires constructs to be tied to observable and measurable variables—even when those ties are indirect or probabilistic.
The apparent difficulty in framing often arises not from a limitation of science, but from the level of abstraction at which a concept is being discussed. Higher-order constructs can exist, but they must still cash out in terms of observable effects, measurable relations, or testable predictions.
Indirect measurement, latent variables, and multi-method convergence are common in science, but they do not remove the requirement for operational contact with the empirical world. They extend it.
When practitioners experience tension here, it is often because a construct is being used descriptively or rhetorically without a clear pathway to measurement, rather than because science permits constructs to remain unmeasured.
From that perspective, the issue is not that science struggles with such constructs, but that some constructs have not yet been specified in a way that allows them to function scientifically.
Cole Denisen, PhD Neurodiversity works well as a critique—but that also clarifies its role.
If it’s framed as a critical epistemic lens, then it’s operating at a philosophical and sociocultural level, not as a scientific explanatory construct. It can interrogate how categories like “normal” and “disordered” are produced, but that’s different from identifying variables that allow prediction and control.
From an RFT perspective, those categories are not natural kinds—they are relational products. They emerge through histories of multiple exemplar training, contextual control, and transformation of function. In that sense, they are constructed—but they are still analyzable.
And that’s the key point: being socially produced does not place something outside science. It simply means the controlling variables are more complex and often distributed across verbal communities.
So the productive move is not to replace classification with critique, but to connect them.
What are the functional relations?
What are the measurable effects?
Under what conditions do these labels alter behavior, treatment decisions, and outcomes?
That’s where critique becomes science.
Richard Laitinen I think this clarifies your position well, and I agree that empirical contact—whether direct or indirect—is central to many scientific approaches. Where we may be getting hung up is that your definition reflects a relatively narrow account of what counts as empirical inquiry, which may accurately describe your field, but may not fully capture the range of methods used across different fields to generate and evaluate evidence.
Fields like sociology, anthropology, and parts of psychology regularly study classification systems, diagnostic boundaries, and institutional practices as objects of inquiry—not simply as precursors to measurement, but as phenomena in their own right. In those cases, the “empirical” is not limited to quantifiable variables, but includes patterns in discourse, categorization, and social organization.
The issue is not only whether a construct like neurodiversity can be operationalized, but how existing constructs—such as “disorder” or “typicality”—have been operationalized, and what assumptions are built into those processes.
The method follows the question.
The disagreement is over whether they must be translated into a particular framework (e.g., organism–environment contingencies) in order to count as legitimate inquiry. In other words, this comes down to how we define what counts as science. There is a substantial body of scholarship that has grappled with these questions over time, and they are unlikely to be resolved in a brief exchange like this.
Suffice to say that different fields operate with different epistemic assumptions, methods, and standards of explanation. To treat only one of those approaches as genuinely scientific is not a neutral empirical conclusion, but a philosophical position about the scope and boundaries of science.
Cole Denisen, PhD Effective fields of science utilize standardized, universal measures of their subject matter, without that there is no progress, no agreement and no evolution. The issue is different endeavors (like sociology, psychology, and others) utilize various aspects of the scientific method without capturing universal measures. Your position is “that’s okay, we call ourselves ‘scientist’, we dress up like scientists, we talk like scientists” and that’s legitimate. It is at best juvenile.
Richard Laitinen I think what’s become clear is that you’re defining science in terms of universal standardized measurement, and evaluating everything against that. My point is that this reflects one influential tradition, but not the full range of approaches - even within your own field of psychology - or across the sciences more broadly.
Cole Denisen, PhD What you’re advocating and promoting is not science, it is observation and extrapolation, without objectivity (aka multiple, independent sources of verification and boundary sewing).
Cole Denisen, PhD An opinion borne of facts, and pragmatic benefit from the application of those facts, as in all advanced sciences.
Richard Laitinen very tautological - its true because it factual and factual because its true.
Cole Denisen, PhD It’s true because it works, it has depth, breadth, scope and generativity. That’s what happens when you do science rather than make-up science.
Richard Laitinen Again, you’re using your own standards to evaluate your argument and then presenting those standards as universal. That’s precisely the dynamic I’m pointing to with perspectivelessness.
Richard Laitinen Having a perspective is not the same thing as treating a perspective as neutral.
Cole Denisen, PhD No perspective is neutral, you should know that as the basis for scientific IOA.
Cole Denisen, PhD Incorrect, Cole. You’re slipping into solipsism. Philosophy left that rabbit hole many years ago
Richard Laitinen Not solipsism. I’m not denying reality or shared knowledge—I’m pointing out that definitions of science are historically and philosophically situated. That’s consistent with the point you were making, and a direct logical extension of it. Conversely, asserting a single universal definition of science is logically inconsistent with that premise.
Cole Denisen, PhD While denying what makes science stand apart from all other epistemologies, IOA and replication
Richard Laitinen Science is not one unified epistemology. Different fields operate with different methods, standards of evidence, and forms of validation.
Cole Denisen, PhD All nature sciences have (1) defined and universal units of measure (e.g., Plank length), (2) systematic calibration (e.g., IOA), (3) systematic replication, (4) systematic methods of observation and manipulation, and (5) peer-review of results. All innthe service of overcoming confounds due to methodological inadequacies. You can practice philosophy, which is what you’re doing, but don’t refer to it as science.
Richard Laitinen I’m arguing a pluralist view of science—multiple methods, standards, and forms of validation across fields. You’re arguing an essentialist one, where a single set of criteria defines what counts as science.
You’re listing criteria that are central within certain experimental traditions and treating them as universally defining of science. That’s the essentialist move I’m pointing to.
Many sciences—especially historical, theoretical, and observational fields—do not operate through IOA or identical forms of replication, yet are uncontroversially considered scientific.