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submitted 2 months ago* (last edited 2 months ago) by DandomRude@lemmy.world to c/asklemmy@lemmy.world
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[-] vala@lemmy.world 4 points 2 months ago* (last edited 2 months ago)

If you mean the Monty Hall paradox, this is how I've recently been able to understand it.

You start with a 1/3rd chance of being right. That's a 2/3rds chance you are wrong. Your first pick is likely wrong.

The host now must open a losing door. Since you likely already picked a losing door, the host likely only has one option for which door to reveal.

So since chances are best that you first picked a wrong door, then the host picked the other wrong door. Which means the one that hasn't been picked by anyone yet is likely the winning door.

Edit: Monte Carlo paradox is a thing. My bad.

The gambler's fallacy, also known as the Monte Carlo fallacy, occurs when an individual erroneously believes that a certain random event is less likely or more likely to happen based on the outcome of a previous event or series of events.

For this one I like the example: "The surgery fails 9/10 times. The last 9 patients have died. Does that mean you in the clear?"

[-] Knock_Knock_Lemmy_In@lemmy.world 2 points 2 months ago

The monte hall problem is easier to understand if you start with 1000 doors, then take 998 away.

this post was submitted on 12 Oct 2024
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