So the Bayesian is reasoning based on what he doesn&#x27;t know i.e. that the coin could land either side because his guess as to which side is heavier would be a 50&#x2F;50 guess - not the actual outcome.<p>Frequentist bets on the outcome <i>regardless of what he knows</i> i.e. that the coin will be more likely to land on one side than the other and it doesn&#x27;t matter which side that is.<p>Isn&#x27;t this just two different perspectives: Slicing vs Limits. Bayesian is concerned with outcome of a single trial; frequentist is concerned with the sum of all outcomes.