Causal Analysis

But for...

causal Analysis

What is Causal Analysis? It’s an analysis that helps us understand the causal chain of events from the cause to an effect. 

That effect might be an injury, it may be an automobile accident, it could be a disease, maybe cancer.

Determining the causal factor(s) is important for understanding liability, and ultimately who is responsible for making things right. But causal analysis is not as easy as it may first appear.

We use mathematical approaches to study the causal chain of events, and to satisfy what we call the “But For” argument, or the counterfactual.

To actually prove causality, we need to satisfy the “But For” argument. It goes like this: “but for the heart attack the car would not have crashed.” What this illustrates is that the key criterion to determine the cause of an event is the element that satisfies the “But For” argument. 

We have used our causal approach to also critique large bodies of knowledge to ascertain if scientific studies were conducted properly to make causal claims.

Causal analysis, when coupled with our Scientific Integrity Investigations, is a great way to better understand the science, and to ensure that all sides are relying on the most reliable science available.

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