• Welcome to #1 Roulette Forum & Message Board | www.RouletteForum.cc.

News:

Odds and payouts are different things. If either the odds or payouts don't change, then the result is the same - eventual loss.

Main Menu
Popular pages:

Roulette System

The Roulette Systems That Really Work

Roulette Computers

Hidden Electronics That Predict Spins

Roulette Strategy

Why Roulette Betting Strategies Lose

Roulette System

The Honest Live Online Roulette Casinos

Bet Selection or No Bet Selection. That is the Question ?

Started by Twisteruk, Oct 28, 02:52 PM 2012

Previous topic - Next topic

0 Members and 1 Guest are viewing this topic.

Drazen

Quote from: Robeenhuut on Nov 02, 02:31 AM 2012
There is no point in arguing what is more important - HE or fluctuation/dispersion. HE just puts you at disadvantage from the start and you need a good fluctuation/dispersion to be ahead.

Oh there is my friend. You are very wrong about what you just said.

You can also reduce HE using dispersion somehow , so as number of expected losses from some point, but if you just remove zero without monitoring dispersions, you will still have same dispersions as with zero on the wheel. Well same in terms of no possibility beating it with progressions, enormous non handable draw downs and touching table limits with it.

Regards


Drazen

Robeenhuut

Quote from: drazen_cro on Nov 02, 03:26 AM 2012
Oh there is my friend. You are very wrong about what you just said.

You can also reduce HE using dispersion somehow , so as number of expected losses from some point, but if you just remove zero without monitoring dispersions, you will still have same dispersions as with zero on the wheel. Well same in terms of no possibility beating it with progressions, enormous non handable draw downs and touching table limits with it.

Regards


Drazen

Hola Drazen

I guess you misunderstood my point. HE is just a fixed number and having 0 or no 0 in the mix does not affect any probability of meeting as you call it dispersion.  Reducing HE means just having better  than average result than expected loss in a large statistical sample.

Regards
Matt

Drazen

Hmm well I guess then i got something wrong :)

Cheers

Drazen

-