← Back to Papers
Published

The Limits of Falsifiability: Dimensionality, Measurement Thresholds, and the Sub-Landauer Domain in Biological Systems

What's this about?

Popper's falsifiability criterion breaks down for high-dimensional biological systems — not because biology is messy, but because of fundamental limits at three distinct levels.

The Limits of Falsifiability: Dimensionality, Measurement Thresholds, and the Sub-Landauer Domain in Biological Systems

Version 2.0 now available

v2.0 (December 2025) extends the published paper with a deeper argument: falsifiability in any field depends on axiomatic assumptions about how you structure the question. Before any measurement occurs, the choice of what counts as a test, what counts as evidence, and how the question is structured has already made a dimensional reduction. The framework is itself a projection.

The paper identifies three levels of limitation: (1) Physical measurement limits — many biological patterns exist below the Landauer threshold. (2) Dimensional projection — a binary test on a 100-neuron circuit preserves less than 1% of the information (1/(nlog2k)0.3%1/(n \log_2 k) \approx 0.3\%). (3) Framework dependence — axiomatic choices precede all measurement and cannot be tested from within the framework.

Wigner's "unreasonable effectiveness of mathematics" in physics reflects selection bias: physics has focused on domains where projection loss is small. Biology is where this selection breaks down — where the gap between system dimensionality and observer capacity becomes undeniable.

This isn't relativism. The underlying reality exists. But falsification is framework-relative, and the appropriate response is scale-aware, ensemble-based epistemology that acknowledges the limits physics places on what can be known.

Key findings

  • Three levels of limitation: physical, dimensional, and framework-dependent

  • Framework dependence is the deepest: axiomatic choices precede all measurement

  • Wigner's "unreasonable effectiveness" as selection bias toward low projection-loss domains

  • Binary projection preserves <1% of information in high-dimensional systems

  • Proposes scale-aware, framework-transparent epistemology

Citation

Todd, I. (2025). The Limits of Falsifiability: Dimensionality, Measurement Thresholds, and the Sub-Landauer Domain in Biological Systems. BioSystems (October 2025).
https://doi.org/10.1016/j.biosystems.2025.105608

Workflow: v1.0: Claude 4.5 Sonnet (Anthropic) for drafting. v2.0: Claude 4.5 Opus (Anthropic) for extended framework-dependence argument; GPT-5.2 (OpenAI) and Gemini 3 Pro (Google) for review. Author reviewed all content and takes full responsibility.