Quote: Originally posted by JADELottery on Jul 11, 2015
In this next section we will look at the DisimulateNexus function.
The DisimulateNexus is derived from the words Disimulate and Nexus.
The Nexus part means to form a connection.
In this case, we are connecting: Past, Present and Future in a sum of the three.
Part of this is related to the Power Mega Balls with Three Sum Math topic we posted also.
The current distribution is passed through the ThreeSum() function to generate a number at random.
In this way, the three sum is a reflection of the lottery's own randomness.
Below is a Pick 3 example.
The last two draws are populated in the upper left from the current draws.
Below the last two draws is a samples list of DisimulateNexus selections.
To change the number of samples, enter up to 1500 as indicated.
Increasing the sample value increases the accuracy, but reduces the precision.
Decreasing the sample value decreases the accuracy, but increases the precision.
This is consistent with the Uncertainty Principle and is why we call this a Quantum Mechanical Selector.
This simulation produces its own distribution and is not like the Draws distribution.
It is biased based on the last two draws and the ThreeSum() function.
Next to the DisimulateNexus samples is the Standard distribution of the samples.
To equalize the differences in frequency in the distribution we Normalized the distribution.
The Normalization puts the distribution on a value scale from 0.00 to 1.00 for each column.
The highest frequency numbers are near 1 and the low frequency numbers are near 0.
The Red Box Threshold highlights those Normalized values that are at the Red Box Threshold or above; valid values are 0.00 to 1.00.
In addition to the Normalized distribution, there are Inverted values and a Folded variation of the same distribution.
The Inverted values are a mirror of the Normalized values.
High frequency numbers are shifted to low and low frequency numbers become high.
The Folded values are like what it seems.
The low and high frequency numbers are folded to be high frequency and the average frequency numbers are moved to low frequency.
Essentially, what most would call Hot and Cold numbers are moved to high frequency.
Also, like the Standard, the Folded values can be inverted so the average numbers are the high frequency and the Hot / Cold numbers are low frequency.

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