loved it :) stands out to usual mtts vids~ 

It looks like it was the first time you made a video. Awesome content tho :)

awesome, I love this off the path content, also was trying to google to figure out who str8$$$homey was the other day pretty cool  that I can watch his vids now!

hey sam, welcome
really interesting and usefull video, as aleksandra saids, stands out from usual vids

That old lady sounds like a real Sicko.

That old lady busted me when she had a set, so maybe she was running good or maybe she knew I was the one person at the table who knew she was bluffing all the time and punished me for it.

trying to better understand this : so new to the table first hand  I open , the guy 3 bets , according to this theory he is more likely to have wider range ( with absolutely no other info on the guy )  , this theory is mostly for steal, resteal spots I guess , (not like utg open SB 3 bets ) . Correct me if I got it wrong 

Great Video. Simply amazing. Like stated above always good to see something different. have railed some of your events on stars my self and search you when ever I can. 

Just Curious Sam, Where in Canada u from?

Thank you for all the positive responses, I guess you all are interested in seeing part two of this.

Rsiatat,

I will cover this more in depth for in video 2, but the logic goes something like this and know that I think about it is sort of similar to The Monty Hall Problem http://en.wikipedia.org/wiki/Monty_Hall_problem

1. If you think are 50/50 that someone is raising either 20% UTG or 10% UTG before he acts UTG you can conclude he is opening 15%.

2. Once he opens however he is 2/3rds as likely to be the more aggro player. (2/3)*20+(1/3)*10 = so you can conclude he is opening 16.66% UTG. 

3. It's not just that him opening makes it more likely he is aggro, it also makes it less likely he is tight.

Justin,

I am from Toronto

Awesome vid, Sam!

Pretty cool video! I`m often in spots where I`m trying to do the "soulread" with guessing, like "is he bluffing or not with this river overbet, after winning that big pot, bla bla bla.. ?". Think your video is gonna make me much better in analyzing this situations! So thanks!

Btw, are you Lucas` twin ? You talk just the same with the funny kinda french accent, look a lot like and have the same lastname, lol :)

Great video. Love the theory based mtt vids. 

Hi Sam, 

For the first hand example did you just estimate the "weighted averages" or did you solve for them somehow?

Also, slide @18 mins: How do you average the multiplied weights*ranges when looking at sequences of events... ex: How does NE+10% = 45.13% for SS? (I understand 67*.39 = 26% for NE+10% and their first shove. I also understand the weight for NE+10% increases upon seeing a 2nd shove)

How did you came up with 27%  and 39% respectively in 15.00 aprox of the video...It seems to me propability of the range be ne-10  given tha he shoved should be 0,47* 0,47 = 0.22 and propability of range ne+10%  0.67 * 0.67 = 0.45%

Awesome,

Even 7 years after, it’s always great content Sam .

I finally got a full intuitive understanding of Bayes' theorem, thanks to the Venn diagram. Knew how to apply it to various situations, but never grasped it intuitively before. Thanks!