# Errors and Game Selection by Alcswab

• Bronze
Joined: 20.02.2015
In statistics there are 2 type of errors. A type I error is a false positive (believing something is true when it’s false), whereas a type II error is a false negative (believing something is false when it’s true). Depending on what kind of error you want to make it’ll influence how you approach and make decisions.

Specifically, these 2 types of errors are very relevant to game selection. When you’re deciding whether to add in a tournament to your schedule the most* basic question you’re asking is “Am I +EV in this game”. The null hypothesis, or the base assumption, is that you’re -EV. Meaning you need evidence that you’re +EV to disprove the base assumption.

If you misinterpret the evidence and think that you’re +EV in a tournament when you’re -EV then you’ve made a Type I error. Meaning you’ll play a MTT where you’re -EV.

If you misinterpret the evidence and think that you’re -EV in a tournament when you’re +EV then you’ve made a Type II error. Meaning you’re skipping a MTT in which you’re +EV.

Generally, if you’re conservative in your game selection you should be trying to minimize your Type I errors and setting a higher bar to prove that you’re +EV in a tournament.

Whereas, if you’re aggressive in your game selection you should look to minimize your Type II errors, and setting a lower standard of proof that you’re +EV in a tournament.

There’s no right answer when considering which way to go. Committing the Type I error will put you into -EV games and drastically increase your variance and lower your ROI, committing the Type II error will leave money on the table.

You decide.

[Edited by SDK1987]
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• Moderator
Moderator
Joined: 12.11.2008
Hello StandardBacking

I’m not sure if you want to use this as a blog, but I’m afraid you can’t use links for 1 of our competitor sites.
That’s against Our forum principles and that’s why I have edited your post.

Best regards,
SDK1987