JamesR;
post 65
In terms of reality/possibility the 5 doors can be represented as
1 2 3 4 5
1 0 0 0 0
with 1 meaning contains a car and 0 meaning contains no car.
The car is behind door 1. Player guesses door 1.
As the host reveals each door from right to left, n changes.
1 0 0 0 0_s/n=1/5
1 0 0 0__ s/n=1/4
1 0 0____ s/n=1/3
1 0______ s/n=1/2
The car is behind door 2. Player guesses door 1.
As the host reveals each door from right to left, n changes.
0 1 0 0 0 s/n=1/5
0 1 0 0__ s/n=1/4
0 1 0____ s/n=1/3
0 1______ s/n=1/2
The host can always reveal n-2 doors.
Using the general game list for 3 doors,
switch wins if the car is not behind the players 1st guess, which is 4/8, and
switch loses if the car is behind the players 1st guess, which is 4/8.
For each reveal, the probability s/n has to be recalculated for current conditions.
Removing a door from play does not alter the location of the car.
"What's the player's estimate of the probability that the car is behind door 2, after the
...
gives 0.8/3 = 0.27 for door 3”
That looks like some form of mathmagical manipulation.
From Wikipedia:
"The
gambler's fallacy, also known as the
Monte Carlo fallacy or the
fallacy of the maturity of chances, is the belief that, if an event (whose occurrences are
independent and identically distributed) has occurred less frequently than expected, it is more likely to happen again in the future (or vice versa)."
"The fallacy leads to the incorrect notion that previous failures will create an increased probability of success on subsequent attempts."
The 2nd case fits Savant's interpretation for the million door example, where the probability of M-1 doors accumulates onto door 777,777.
She states
"Then the host, who knows what’s behind the doors and will always avoid the one with the prize, opens them all except door #777,777. You’d switch to that door pretty fast, wouldn’t you?"
Let's apply the Savant interpretation to the 5 door example.
She assigns .20 value for each door.
The host opens empty doors, 1 per game, right to left.
1 0 0 0 0
1 0 0 0__
1 0 0____
1 0______
There are 6 possible sequences of any empty door surviving to row 4, probability = .17, small compared to 1.00.
She concludes door 1 has retained its value of .20, but the surviving empty door has (magically) inherited a value of 4*.20=.80.
Why wouldn't the player switch?
Because her conclusion is false, per the 'fallacy' concept, and the player can only guess since they don't know which door contains the car.
Well, player knows that in 1 out of every 5 games, the car will be behind the door the player originally chose (door 4), and in 4 out of every 5 games the car will be behind one of doors 2,3 or 5.
The patterns/arrangements of prizes for each game is random. The car could appear behind door 2 7 times in a row. With ‘random’ meaning unpredictable, there is no method of equal placement. That’s why it’s referred to as a game of chance.