And having no credentials makes it even easier to make blatantly wrong assessments, to read the data incorrectly, to completely misunderstand terms of art, to accidentally believe that because you are smart, you can evaluate another field easily with some hard thinking.
Having no credentials means you are likely to not know what you don't know, and so gloss over an entire section of a field when making conclusions. It means not having worked with similar data before to help build a "sniff test" for when something in your work doesn't look right.
The difference between no credentials and credentials in assessing a complex topic and communicating that to a broad audience is as a vast as the difference between the seasonal flu and coronavirus.