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- Joined: Mon Nov 11, 2013 11:21 am
I'm not a statistician, but, I can make a conclusion based on inference.
If the probability of flipping a coin 100 times and getting heads five times in a row is 3% (per Google example), then surely, the probability of one specific manager out of 100 not getting favorable dice rolls six times in a row in six games would seem to be somewhat, if not significantly, lower than 3%. I would also surmise that if 100 teams are playing their finals over a five day period, it's a reasonable bet that one of those 100 managers will experience an outcome similar to yours. You're only playing six games, so, I guess that means that if a particular individual makes it to the finals 100 times, it's a reasonable bet he will experience an outcome similar to yours one time.
So, in summary, you would need to make it to the finals 100 times and have the "six for six" thing happen to you more than once before we could raise any eyebrows and go "WTF?". Or you would have to identify 99 other managers playing their finals and find one other manager who had the "six for six" outcome thing happen before we could raise our eyebrows and go "WTF?" Or you would have to identify 199(?) or more managers playing the finals and find out none of them had the "six for six" outcome before we could raise our eyebrows and go "WTF?" Or you would need to make it to the finals at least 200 times and not experience the "six for six" outcome again before we could raise our eyebrows and go "WTF?". We need to draw a lot of "cards in the deck" before we can make a meaningful conclusion about a skewed game engine.
Or to put it a different way, the probability of a manager having Ron Santo hit a triple in the sixth inning on a Wednesday immediately after Felipe Alou pops up to the shortstop is extremely low, but, it's not an event that would make us raise our eyebrows and go "WTF?" unless it happened with a frequency higher than the expected probability.
If the probability of flipping a coin 100 times and getting heads five times in a row is 3% (per Google example), then surely, the probability of one specific manager out of 100 not getting favorable dice rolls six times in a row in six games would seem to be somewhat, if not significantly, lower than 3%. I would also surmise that if 100 teams are playing their finals over a five day period, it's a reasonable bet that one of those 100 managers will experience an outcome similar to yours. You're only playing six games, so, I guess that means that if a particular individual makes it to the finals 100 times, it's a reasonable bet he will experience an outcome similar to yours one time.
So, in summary, you would need to make it to the finals 100 times and have the "six for six" thing happen to you more than once before we could raise any eyebrows and go "WTF?". Or you would have to identify 99 other managers playing their finals and find one other manager who had the "six for six" outcome thing happen before we could raise our eyebrows and go "WTF?" Or you would have to identify 199(?) or more managers playing the finals and find out none of them had the "six for six" outcome before we could raise our eyebrows and go "WTF?" Or you would need to make it to the finals at least 200 times and not experience the "six for six" outcome again before we could raise our eyebrows and go "WTF?". We need to draw a lot of "cards in the deck" before we can make a meaningful conclusion about a skewed game engine.
Or to put it a different way, the probability of a manager having Ron Santo hit a triple in the sixth inning on a Wednesday immediately after Felipe Alou pops up to the shortstop is extremely low, but, it's not an event that would make us raise our eyebrows and go "WTF?" unless it happened with a frequency higher than the expected probability.