When two researchers have different casual diagrams they can analyze the same dataset and can come up with different conclusions due to the subjectivity in their diagrams. 

Although when two researchers agree on the same assumptions it allows a very objective way of interperting data as well as new data.   

University of Michigan - Ann Arbor

Most of the statistical methods are entirely objective, which means reasoning exclusively from data and experiments. But causal analysis and Bayesian analysis are different in that they involves some subjectivity.

Causal analysis requires some subjective commitments based on one's knowledge in the field before the causal digram is drawn and data is explored.

Similarly, Bayesian analysis combines objective evidence with the prior subjective belief.

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