I certainly should read Jakob Bernoulli's Ars Conjectandi again but let me share my concerns.
I'm just wondering when and how the Bernoulli distribution $Be(p)$ (and related distributions like the binomial $B(n,p)$) with real binomial proportion $p$ was introduced.
Indeed, classical probability theory defines probability as ratios
$p = \frac{{{\text{number of favorable cases}}}}{{{\text{number of possible cases}}}}$
and, subsequently, makes allowance only for rational probabilities like said binomial proportion $p$.
Bernoulli distributions with real binomial proportions can be defined within infinite frequentism, as the limit of relative frequencies. But it seems like (infinite) frequentism was introduced a long time after the Bernoulli distribution with real $p$.
Or we should start with a sequence of Bernoulli distributions with rational $p$'s and pass to the limit to build Bernoulli distributions with real $p$'s within classical probability theory, but I'm not aware of any construction like this.
So, assuming that infinite frequentism was introduced a long time after the Bernoulli distribution with real $p$, how did we go from Bernoulli distributions with rational $p$ to Bernoulli distributions with real $p$ within classical probability theory at the early time of Bernoulli? (today, we get them from the principle of maximum entropy, by constraining the first real moment $p$).