There must be some mathematical formula that will describe it
... the more people in the maladministration that promulgate a statement, the more likely it is that it is a lie.
For maximum accuracy, this function would have to include an individual credibility factor of some sort (though a first approximation could use some sort of average discredibility to represent anyone in the maladministration). Basically, if Trump's doctor says it, it *has* to be a lie, since he/she/they is bound by HIPAA and can't release any info without approval of the Liar-in-Chief. Also, RFK Jr, KKKaroline Leavitt and the Liar-In-Chief seem to be utterly incapable of telling the truth. I'm thinking it has to be some sort of multiplicative model, as any additive model would quickly run against the inability to have negative probabilities of truth if repeated by too many MAGAts.