>>People don't generally do research trying to understand how cells or tissues work, they generally write papers about "stories" they found. Only a small minority are trying to do some serious modeling using serious math.
Speaking as a layman, that seems like a very strong claim for what one hopes is a hard science supposedly applying the very best practices of the scientific method (i.e. falsifiable theories vs. anecdotal stories).
Is this meant to be hyperbole to get your point across, or something that is generally known throughout the bio[med|tech] industry? As a sister comment pointed out, the latter scenario would be quite alarming.
EDIT: I'm aware of growing sentiment within the scientific community to reconsider using p-values, of which John P.A. Ioannidis and his body of work[1] helped to raise awareness of. Was this the "story"-like theme that you're referring to in cell and tissue papers?
His claim is hyperbolic, but only from the perspective of the way that scientific research has been conducted for the last 10-15 years. Prior to this, many researchers were forced to tell "a story" because the sheer volume of data and complexity in fields like cellular biology was/is so massive. This does not mean that their findings were in any way intentionally deceptive, it's simply that it was impossible to cover all the ground necessary to tell the whole story.
However, as data analysis techniques have become more powerful and data more easy to produce thanks to advances in the scientific methodologies we use to access information about the matter we are studying, the datasets are getting bigger but also easier to manage.
Speaking as a layman, that seems like a very strong claim for what one hopes is a hard science supposedly applying the very best practices of the scientific method (i.e. falsifiable theories vs. anecdotal stories).
Is this meant to be hyperbole to get your point across, or something that is generally known throughout the bio[med|tech] industry? As a sister comment pointed out, the latter scenario would be quite alarming.
EDIT: I'm aware of growing sentiment within the scientific community to reconsider using p-values, of which John P.A. Ioannidis and his body of work[1] helped to raise awareness of. Was this the "story"-like theme that you're referring to in cell and tissue papers?
[1] http://journals.plos.org/plosmedicine/article?id=10.1371/jou...