Quantifying Good & Bad Decisions
(as they pertain to video poker)
We've all heard the arguments that good outcomes do not validate or invalidate bad decisions and visa versa. What is less talked about is exactly how bad a bad decision is in video poker, or how good your chances are of success if you do everything right. It's about time we rectify that.
WARNING! MATH KNOWLEDGE REQUIRED
Hypothetical situation:
You take two groups of one hundred people and bankroll them to play 1,000,000 hands of dollar video poker each. Group A will play a game with 99% return and a standard deviation of + or - 1% at 1 million hands. Group B will play a game with 101% return and a standard deviation of + or - 1% at 1 million hands. We can say that:
1.Group A is making a BAD decision
2.Group B is making a GOOD decision
The question is how good and how bad???
Question 1: Of the 100 people playing the inferior game, how many would still be expected to win because of chance alone?
Question 2: And of the people playing the positive expectancy game, how many out of the 100 would still be expected to lose due to chance alone?
One should be able to answer this question with only basic high-school math. In fact if you received an education in America all the knowledge required to solve it was required for graduation.
It's fine to say one game is bad and the other is better, now let's quantify how much better and how much worse...???
I'll post the answers in a few days. Then we can discuss what the answers mean to you. I'll bet you it has far more effect than you think.
(as they pertain to video poker)
We've all heard the arguments that good outcomes do not validate or invalidate bad decisions and visa versa. What is less talked about is exactly how bad a bad decision is in video poker, or how good your chances are of success if you do everything right. It's about time we rectify that.
WARNING! MATH KNOWLEDGE REQUIRED
Hypothetical situation:
You take two groups of one hundred people and bankroll them to play 1,000,000 hands of dollar video poker each. Group A will play a game with 99% return and a standard deviation of + or - 1% at 1 million hands. Group B will play a game with 101% return and a standard deviation of + or - 1% at 1 million hands. We can say that:
1.Group A is making a BAD decision
2.Group B is making a GOOD decision
The question is how good and how bad???
Question 1: Of the 100 people playing the inferior game, how many would still be expected to win because of chance alone?
Question 2: And of the people playing the positive expectancy game, how many out of the 100 would still be expected to lose due to chance alone?
One should be able to answer this question with only basic high-school math. In fact if you received an education in America all the knowledge required to solve it was required for graduation.
It's fine to say one game is bad and the other is better, now let's quantify how much better and how much worse...???
I'll post the answers in a few days. Then we can discuss what the answers mean to you. I'll bet you it has far more effect than you think.