Chen Mathematics Of Poker Pdf

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1) does not cry when you see a bunch of equations (and in fact do not mind writing a few more equations to find the answers you really want)
2) can overlook some ugly formatting errors
3) plays poker and would like to know how to approach some situations in a game theoretically optimal fashion
then this will be an extremely enlightening book for you. It was for me. If you just want charts of which hands to play in hold 'em, this will be less useful.
It's not like you
If you happen to be a person that1) does not cry when you see a bunch of equations (and in fact do not mind writing a few more equations to find the answers you really want)
2) can overlook some ugly formatting errors
3) plays poker and would like to know how to approach some situations in a game theoretically optimal fashion
then this will be an extremely enlightening book for you. It was for me. If you just want charts of which hands to play in hold 'em, this will be less useful.
It's not like you need to know what a Radon-Nikodym derivative is (though it couldn't hurt), but this is a math book first.
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The second concerning sentence: "The primary goal of our work here is not to solve game theory problems for the pure joy of doing so; it is to enhance our ability to win money at poker." Since my interests are the exact opposite, I thought maybe the book would not be for me. However, the approach was very careful and precise, exploring simplifications where optimal strategy could be derived completely. Some of the chapters got a bit too detailed for me to be interested in following, given that I'm not planning to apply them, but overall I found an incredible amount of joy in this book.
The biggest insight I got from this book is how fundamentally defensive Nash equilibria are. For example, consider a game of Rock Paper Scissors where the utility of winning with scissors is doubled. That is, if you win with scissors, you gain 2 points and your opponent loses 2 points. If you win with rock or paper, you gain 1 point and your opponent loses 1 point. If there is a tie, no one gains any points. I didn't pause to predict the result before reading on, but I might have expected the result would be that scissors is played more often. Instead, the Nash equilibrium is playing rock with probability 1/2, scissors with 1/4, and paper with 1/4. Why did rock increase? Because rock is the counter to scissors. The Nash equilibrium strategy usually makes your opponent indifferent between their options. To make the opponent indifferent to playing scissors when its utility increases, you have to play rock more often. At the same time, if the opponent is also playing the Nash equilibrium, you cannot gain utility by playing scissors more often. Your opponent has made you indifferent.
This concept applies to poker as well. For example, suppose you are playing limit poker, meaning there is one fixed bet size that is allowed. As the size of the pot increases, how should bluffing and calling behavior change? The answer is that you should bluff less and call more. This example was discussed in the book before the Rock Paper Scissors example, and I had a lot of trouble seeing why. After all, the utility of bluffing and calling both increase as the pot increases, so why should you do one less and the other more? The answer is that this is correct defensive play. The counter to bluffing is calling, so as bluffing gets better you call more. The counter to calling is bluffing less, so as calling gets better you bluff less.
Some other highlights for me: Chapter 7 discussed games with a made hand (who has the best hand currently on the board, e.g. a pair of aces) and a draw (who is trying to draw into a better hand, e.g. they currently have 4 card of the same suit and would like a flush). The draw often prefers to get all-in before more cards are drawn, going against my intuition that the draw would like to see more cards as cheaply as possible. This is because the made hand wants to preserve the option to make large bets in cases where the draw misses. Chapters 22-25 had some interesting analysis of how to play poker professionally without running too great a risk of losing all your money at some point. And Chapter 29 had some strange scenarios that can occur in 3-player games.
Finally, one big takeaway from this book for me was just how high a variance there is to poker. Whenever the authors put in numbers they thought were realistic assumptions as to how much of an edge a player might have, I was shocked by how easy it was to lose money despite being the best player. They gave one example of an overall winning player who nonetheless had a 45% chance of being down money after 300 hands! If I had any inclination to play poker before reading this, it completely vanished. It just doesn't sound fun to play a game where you need statistical analysis to know if you're doing well.
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I might return to this book after I've developed an informal understanding of basic strategies and therefore feel more ready to delve into the more
I stopped reading after chapter 4 because as a beginner poker player, the first few chapters were sufficient to give me a basic understanding of how to calculate expected value for hands and how to evaluate pot odds, implied odds, and the like. This book is not the easiest to comprehend, though I'll admit I'm also not used to reading texts about math.I might return to this book after I've developed an informal understanding of basic strategies and therefore feel more ready to delve into the more heavy-duty mathematical analysis in later sections.
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For math geeks who love poker and first-principles sort of thinking. "Oh My God This Surely Is The Work Of Satan"
For math geeks who love poker and first-principles sort of thinking. ...more





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Chen Mathematics Of Poker Pdf
Source: https://www.goodreads.com/en/book/show/38319
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