This is not a probability problem it is a filtering problem. Those who use the 1/3 vs. 2/3 probability explanation are flat out wrong. Here’s why.
Before opening any doors there are three possible cases:
Door A Door B Door C
case#1 car goat goat
case#2 goat car goat
case#3 goat goat car
Using these cases to illustrate the point of (staying = 1/3) and (switching = 2/3) typically looks something like this:
Door A Door B Door C Stay Switch
case#1 car goat goat car goat
case#2 goat car goat goat car
case#3 goat goat car goat car
What gets overlooked is that opening a door reduces the number of possible cases. If, for example, Door C is opened revealing a goat, case #3 is no longer valid because we now know that there is no car behind Door C. So case #3 must be eliminated from the set of possible cases, leaving only two possible cases:
Door A Door B Door C Stay Switch
case#1 car goat goat car goat
case#2 goat car goat goat car
This clearly shows a 1/2 probability.
But then why don’t we see a 50/50 split in real life? Because it’s HOW the decision was made as to which door to open that explains the outcome, not probability.
Don’t believe me? Then perhaps if we approach this from another perspective you’ll understand.
If you are presented with 3 doors and told only that behind one door is a car and behind the other two are goats and one door is already open revealing a goat, the car probability of each of the closed doors is 1/2. The only difference between this case and our Monty Hall problem is that in Monty’s case we know something about HOW the decision was made to open the door. Probability is not concerned with HOW something has come to be, just that it exists in a certain state. The state of each of these cases is the same - two closed doors and one open door with a goat. So, as expected, the probability calculations alone yield the same 50/50 result. It’s only after one applies the HOW that we are able to explain the actual outcome. Hence this is not a probability problem and it is wrong to explain it as such.