Research

What I study

Much of my work concerns reasoning problems that recur across disciplines: overloaded concepts, hidden assumptions, weakly discriminating evidence, cross-scale inference, measurement validity, causal attribution, and theories flexible enough to accommodate almost any result.

I am especially interested in turning those problems into explicit comparisons among rival hypotheses, measurable variables, interventions, negative controls, and revision conditions.

I do not treat metaphysical completeness as a prerequisite for useful science. When several ontologies fit the same evidence, I prefer to preserve the empirical structure we have earned and keep the unresolved distinction open.

Current work

Three connected projects

Method

How I approach a difficult claim

I try to separate the question from the vocabulary used to ask it. What exactly is being claimed? Which parts are observable, causal, mathematical, conceptual, normative, or metaphysical? What are the strongest alternatives? What evidence would actually distinguish them?

When an argument crosses scales or domains, I look for the bridge: what is being mapped, what is preserved, what is lost, and what new prediction follows.

When a prediction fails, the important question is not merely whether a theory survives. It is which assumption should lose support, and how far the consequences of that failure should propagate.

No correction mechanism is exempt from correction.

Status

What I am not claiming

The frameworks on this site are research programmes in development, not established scientific results. Many of their components come from existing work in philosophy of science, causal inference, measurement, statistics, cognitive science, and complex systems.

The important question is whether combining those components in a recursive correction architecture produces measurable gains over simpler alternatives.

If it does not, the framework should be simplified.

Background

Technical experience

My research is informed by a long practical background in web development, server administration, networking, hosting, and software infrastructure.

That experience made dependency structure, observability, failure recovery, resource limits, and edge cases recurring concerns in how I think about theoretical systems.

I also use contemporary computational models and software tools to prototype structured reasoning workflows, compare model behavior, track assumptions, verify sources, and test revision after adversarial feedback.

Intellectual context

Where the work comes from

The methodology draws on several existing traditions rather than claiming to replace them: Popper and Lakatos on criticism and research programmes; Mayo on severe testing; Pearl and Woodward on causal inference and intervention; Longino on critical scrutiny; Dennett on real patterns and heterophenomenological method; and work on effective theories, measurement, and multiscale explanation.

Domain-specific projects draw separately on current research in consciousness science, organizational biology, thermodynamics, active inference, complex systems, and computational reasoning.

Those traditions are resources and rivals, not authorities. Their usefulness depends on what they explain, predict, and survive.

Independent research

Research without institutional affiliation

I conduct this work independently and am not currently affiliated with a university or research institution.

That makes transparency especially important. I aim to make arguments, sources, assumptions, revisions, and eventually formal evaluations available for inspection rather than asking readers to accept conclusions on my authority.

The strongest criticism of this work is useful if it identifies a genuine failure condition and helps improve the next version.

Contact

Discussion and collaboration

I am interested in serious criticism, research collaboration, and conversations with people working on scientific methodology, consciousness, cognition, causal explanation, computational reasoning, and complex systems.