Derived roads vs algorithms
Everybody knows that a given plan performing bad at a given derived road very often will form opposite situations at one or both other roads, so enticing us to change the succession to be followed, with the hope that things keep staying in the 'good' territory.
Sometimes the 'trick' works and other times does not and of course most of the times the probability to succeed is 50%. So worthless.
The derived roads invention was a brilliant accomplishment made by some Macau colleagues in the 70s (there are some statistical features to exploit by playing them) but somewhat flawed from the start.
The main problem of the DRs is that they are geometrically produced like bricks forming walls of different height, so 'too much' affected by the actual card distribution without giving a proper role to the decisive math features.
In fact, whereas natural difficult situations arise at both DRs and algorithms and for different reasons, DRs do not give us the luxury to rely upon a 'well calibrated and controllable' scenario, the paramount condition to set up serenely a profitable plan itlr.
In truth, each DR is capable to provide longer positive situations than our algorithms but with the fatal downside to make more probable long negative sequences to happen.
A thing that we must avoid at all costs.
Obviously the same problem applies to the Big Road but at least here we possibly get additional factors to rely upon (see 'codes' plan for example).
But the most interesting thing we've found is that DRs are providing 'symmetrical' events, in the sense that every road will whimsically present good or bad situations in relationship of the actual distribution without any link between the three lines, whereas alg A when seems to fail makes alg B to get a more normal 'course of action'.
Despite of being both algorithms built with the same math and actual distribution issues, the alg A always takes the lead over the alg B as this one is considered just a back-up (still very profitable) plan.
More later
as.
Everybody knows that a given plan performing bad at a given derived road very often will form opposite situations at one or both other roads, so enticing us to change the succession to be followed, with the hope that things keep staying in the 'good' territory.
Sometimes the 'trick' works and other times does not and of course most of the times the probability to succeed is 50%. So worthless.
The derived roads invention was a brilliant accomplishment made by some Macau colleagues in the 70s (there are some statistical features to exploit by playing them) but somewhat flawed from the start.
The main problem of the DRs is that they are geometrically produced like bricks forming walls of different height, so 'too much' affected by the actual card distribution without giving a proper role to the decisive math features.
In fact, whereas natural difficult situations arise at both DRs and algorithms and for different reasons, DRs do not give us the luxury to rely upon a 'well calibrated and controllable' scenario, the paramount condition to set up serenely a profitable plan itlr.
In truth, each DR is capable to provide longer positive situations than our algorithms but with the fatal downside to make more probable long negative sequences to happen.
A thing that we must avoid at all costs.
Obviously the same problem applies to the Big Road but at least here we possibly get additional factors to rely upon (see 'codes' plan for example).
But the most interesting thing we've found is that DRs are providing 'symmetrical' events, in the sense that every road will whimsically present good or bad situations in relationship of the actual distribution without any link between the three lines, whereas alg A when seems to fail makes alg B to get a more normal 'course of action'.
Despite of being both algorithms built with the same math and actual distribution issues, the alg A always takes the lead over the alg B as this one is considered just a back-up (still very profitable) plan.
More later
as.