maccatak11 wrote:yes, but my question is, is an answer of 8% THAT much better than an answer of "about 10% or probably a little less".
You are missing the point, which was how easily our intuition can mislead us when dealing with matters of probability... If you actually answered "about 10%", well done, but also consider it then goes on to solve it mathematically which will automatically provide more accuracy than an estimate. Just like you dont question Pokerstove outputting u have 35.13576% equity, instead saying "35 is good enough".
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All I have presented so far in this thread (and Trishan's examples to), is akin to the preface chapter in a book, outlining the raw math and concepts that will be discussed, and a
primitive example to whet the appetite. Yet there is voiced opinion that "The book overall has nothing to offer over (my own) current thinking"....
Please remember that only the
most fundamental aspects of this subject have been presented thus far, and that the examples given so far have been, of neccessity, simplified.... to the point of being almost useless on their own. And I thought I had made that clear in the OP and since.
All the things maccatak mentions (stack size, position, tilt etc) can all be incorporated into this, indeed they must be for it to be of real benefit.
A quote from a well respected source may serve well here:
'The Mathematics of Poker' (Chen & Ankenman) p36 under the section 'Basics' wrote:"In poker, Bayes' Theorem allows us to refine our judgments about probabilities based on new information that we observe. In fact, strong players use Bayes' Theorem constantly as new information appears to continually refine their probability assesments; the process of Bayesian inference is at the heart of hand reading and exploitive play, as we shall see in Part II"
And this is true, that it is a Bayesian process, whether they realize it or not...
Maccatak: Trishan almost directly quoted MOP (pp 38-39) in the example you said was "the most ridiculous application of math to poker you had even seen" and "complete rubbish"... Take that one up with Chen and Ankenman mate.... And it is more designed (imo) to show how much influence a single event
can have on refining prior assumptions, than to imply we should all label someone who open raises the first hand they play a maniac...
And please dont be so quick to dismiss new ideas cos they dont make sense or you cant see their utility given your current understanding of them. Personally I invariably find that,
when I do this, it is my own understanding that is lacking, not the utility of the idea(s).
I'm guessing you havent read the article under the first link in the OP? (Bayesian reasoning at work here to

)
I have tried to emphasise how important a general understanding of Bayes' Theorem is:
And again I will repeat something (key) from the OP:
Bayes' Theorem captures mathematically (and extremely accurately and elegantly), the natural process that any (thinking) player tries to apply at the poker table in using any and all information at hand to narrow his opponent's possible range. So,
given this, understanding the theorem
in and of itself, will enable us to execute this process more accurately.
Nowhere is it proposed that this is to be as quantified as pot odds or outs actually at the tables either...
Baby steps...
ANY presentation of new ideas (to the audience) needs to start at the absolute beginning and therefore basics/fundamentals. And like many other subjects, the fundamentals soon give way to large areas of practical application, but only once the fundamentals are grasped (and the more the better), hence why they are presented first. Don't get me wrong, I don't claim to fully understand them myself => part of the reason I started this topic.
Also, for the sake of future discussion on this, lets assume we are talking about a cash game or atleast, just ignore tournament effects like ICM and other tournament equity considerations, as it really has nothing to do with hand reading (the
decision we make to be sure, but that is not the topic here)