Apparently, Joe Rogan was DESTROYED by (((Josh Zepps))) in an argument about COVID, Vaccines, and Myocarditis. (((Zepps))) brought up the fact that Myocarditis following COVID has a higher probability than Myocarditis following vaccinations. Obviously the (((media))) was ecstatic at this exchange and proclaimed (((Zepps))) victorious, but hang on a second! Was Zepps doing the math correctly. I'm just a lowly brainlet; but let's calculate this using the normal notation of Bayesian statistic. Let P(A|B) denote 'the probability of A given B'; let A ^ B denote 'A and B'; finally, let ~A denote 'not A'. Also, let C denote COVID infection, M denote Myocarditis case, and V denote vaccination.

Okay so we need to compute the probability of Myocarditis from getting the vaccine vs. not getting the vaccine; let these be p1 and p2 respectively. Then,
p1 = P(M|V^~C)P(~C|V) + P(M|C^V)P(C|V)
p2 = P(M|~V^~C)P(~C|~V) + P(M|C^~V)P(C|~V)

Then we need to compare p1 and p2. If p1 > p2, then the vaccines are causing more Myocarditis then they are stopping. How is everyone so stupid; literally no one is talking about the correct way to compute this. Does anyone know the actual measured values for these different terms. Let's compute it Frens.