As a quick introduction, remember the Monty Hall problem: You have a choice of three doors: One is good, two are bad. After picking one door, another is opened revealing to be a bad one. With that in mind, the probability of picking the good door now becomes 66% by switching. However someone who has no idea of the first pick will see two doors, assuming both to be 50%.
That being said, if you have dropped a coin to be tail nine times, is the probability of the tenth drop still 50/50, or is there a high probability that it will be head, so when using the cumulative binomial distribution, you would get another result than the 50% head/tail options.
The question is: When exactly does probability get affected by historical events? (Where by 'historical events' I mean the statistics of the events that happened)
In context, the past event of the game show host revealing what lies behind a door is really just a deceptive way of telling you which of the $2$ unpicked doors is better. Hence, a future event of you switching doors is just a switch from selecting $1$ door to selecting the better of $2$ doors.
The reason that the past event affects the future event is because of a change in choices: in the past, we were choosing between $3$ equivalent doors; in the future, we are choosing between a door and the better of $2$ doors.
When we flip a coin and flip it again, and again, our choices do not change: we are still choosing between a head and a tail.
That is the distinction.
Therefore,