Every rigorous investigation begins with subtraction. Before we can say anything meaningful about anomalous phenomena, we must first remove everything that can be explained.
Eliminating Refutable Evidence
The first step is to exclude any evidence that can be easily debunked or explained through non-paranormal means. Even compelling examples must be discarded if they fail to withstand scrutiny, as including them risks contaminating the dataset. A recording that might be a drafty hallway, a photograph that might be lens flare, a witness account that might be sleep paralysis — these must go. Not because we disbelieve the people who experienced them, but because we cannot build reliable science on evidence that has an ordinary explanation.
This standard is intentionally demanding. It means we will often end up with very little to study. That is acceptable. A small, clean dataset is more valuable than a large, polluted one.
Identifying Patterns and Conditions
Once we have a set of evidence that survives initial scrutiny, we examine the conditions under which the phenomena occurred: time of day, environmental conditions, specific locations, the state of the witnesses. Identifying patterns can help reveal potential causes — and can sometimes reveal mundane explanations we had not yet considered.
Pattern recognition is not proof of anything. A phenomenon that always occurs near running water does not tell us what is causing it. But it gives us a hypothesis to test, and a direction to look.
An Example: Unexplained Movement of Objects
Suppose we collect twenty video recordings showing objects moving without an apparent cause, with reports suggesting the activity is recurring. By comparing these examples, we can identify commonalities — environmental conditions, contextual factors — that may explain the movements. If patterns emerge, we can formulate hypotheses to test through controlled experiments, either to confirm or rule out possible explanations. Our intent is not only to document these phenomena but to apply scientific rigor to understanding their origins.
These are early steps. The methodology will be refined as we learn. But they represent the foundation on which everything else is built.