People often assume that detecting something automatically explains the cause of a problem. In complex systems, detection and causation are not the same thing. In this episode, I examine the logic, assumptions, and scientific limitations behind urine mycotoxin testing — particularly when it’s used to draw conclusions about mold exposure, chronic fatigue, or illness causation.
We explore:
- correlation vs causation
- hidden variables in medical testing
- why proxy measurements get over interpreted
- confounded study design
- food vs environmental exposure
- detoxification assumptions
- how tests can answer one question while being used to imply another
- the difference between detecting substances and identifying root causes
A recurring theme throughout the discussion is that people often mistake: detection for explanation, association for proof, and measurements for understanding.
This episode is less about mold itself and more about how humans interpret complex systems under uncertainty.
The Daniel Stih Podcast
Note: This episode is available on The Daniel Stih Podcast. The links below will take you there.